diff --git a/.github/branch-protection.json b/.github/branch-protection.json index 47797f48..985d4116 100644 --- a/.github/branch-protection.json +++ b/.github/branch-protection.json @@ -1,6 +1,6 @@ { "required_status_checks": { - "strict": true, + "strict": false, "contexts": [ "py3.12 on ubuntu-latest", "py3.13 on ubuntu-latest", diff --git a/.github/workflows/code-quality.yml b/.github/workflows/code-quality.yml index 4b9a9ca8..800322e2 100644 --- a/.github/workflows/code-quality.yml +++ b/.github/workflows/code-quality.yml @@ -4,6 +4,7 @@ permissions: contents: read on: + merge_group: push: branches: [main] pull_request: diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index b4965c79..bc7321fa 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -4,6 +4,7 @@ permissions: contents: read on: + merge_group: pull_request: branches: [main] push: @@ -63,16 +64,18 @@ jobs: comfyui: name: real ComfyUI compatibility runs-on: ubuntu-latest + # Chromium and its system libraries come from the pinned Playwright image (tag = @playwright/test in + # tools/vendor/package-lock.json; tests/vendor/browser-image.test.mjs checks it). The runner install + # pulled them from Ubuntu's apt mirror on every run, and three runs (#349, #378, #382) crawled at + # ~26 kB/s for 11-12 minutes until the job hit its limit after every test had passed. + container: + image: mcr.microsoft.com/playwright:v1.64.1-noble + options: --user 1001 timeout-minutes: 24 steps: - uses: actions/checkout@v7 with: persist-credentials: false - - uses: actions/setup-node@v7 - with: - node-version: "24" - cache: npm - cache-dependency-path: tools/vendor/package-lock.json - name: Read the reviewed runtime pins id: runtime run: | @@ -97,21 +100,42 @@ jobs: ref: ${{ steps.runtime.outputs.kikoRevision }} path: .ci-kikotools persist-credentials: false - - uses: actions/setup-python@v7 + # The image's own Python and Node 24: setup-python/setup-node install the runner's toolcache builds, + # whose entry points name host paths that do not exist in the container. The image has no ensurepip + # and the job has no root, so a checksum-pinned pip wheel bootstraps a user-space venv. The image + # Python must be the reviewed host Python, so a pin or image bump that disagrees fails here. + - name: Python environment on the reviewed host Python + env: + PIP_WHEEL: https://files.pythonhosted.org/packages/f3/6e/1736e5b4ae2b778ef2f81c47d797de9f891d4d8acb047a24ca37a60294dd/pip-26.2.1-py3-none-any.whl + PIP_SHA256: 71138adf1f4ca900cdb7d289c21b7494329f2332b6d85f0e1c42108c0384ed3e + PINNED_PYTHON: ${{ steps.runtime.outputs.pythonVersion }} + run: | + image="$(python3 -c 'import sys; print("%d.%d" % sys.version_info[:2])')" + [ "$image" = "$PINNED_PYTHON" ] || { echo "::error::image Python $image is not the pinned $PINNED_PYTHON"; exit 1; } + venv="$RUNNER_TEMP/venv" wheel="$RUNNER_TEMP/pip-26.2.1-py3-none-any.whl" + python3 -m venv --without-pip "$venv" + curl -fsSL --retry 3 -o "$wheel" "$PIP_WHEEL" + echo "$PIP_SHA256 $wheel" | sha256sum -c - + "$venv/bin/python" "$wheel/pip" install --no-index --no-cache-dir "$wheel" + echo "$venv/bin" >> "$GITHUB_PATH" + - run: python --version && node --version && node --version | grep -q '^v24\.' + # pip's download cache (torch alone is ~200 MB); inside the container ~ is the job's HOME (/github/home). + - name: Cache pip downloads + uses: actions/cache@v6 with: - python-version: ${{ steps.runtime.outputs.pythonVersion }} - cache: pip - cache-dependency-path: | - requirements-dev.txt - .ci-comfyui/requirements.txt - tools/vendor/comfyui-runtime.json + path: ~/.cache/pip + key: pip-${{ runner.os }}-playwright-v1.64.1-${{ hashFiles('requirements-dev.txt', '.ci-comfyui/requirements.txt', 'tools/vendor/comfyui-runtime.json') }} - name: Install CPU runtime and test dependencies run: | - python -m pip install --upgrade pip pip install "torch==${{ steps.runtime.outputs.torchVersion }}" "torchvision==${{ steps.runtime.outputs.torchvisionVersion }}" --index-url https://download.pytorch.org/whl/cpu pip install -r .ci-comfyui/requirements.txt -r requirements-dev.txt "torch==${{ steps.runtime.outputs.torchVersion }}" "torchvision==${{ steps.runtime.outputs.torchvisionVersion }}" + # npm's download cache, keyed on the lockfile. node_modules itself is still built fresh by npm ci. + - name: Cache npm downloads + uses: actions/cache@v6 + with: + path: ~/.npm + key: npm-${{ runner.os }}-playwright-v1.64.1-${{ hashFiles('tools/vendor/package-lock.json') }} - run: npm ci --prefix tools/vendor --ignore-scripts - - run: npx --prefix tools/vendor playwright install --with-deps chromium - name: Classic and Nodes 2.0 startup and compatibility env: PM_COMFY_ROOT: ${{ github.workspace }}/.ci-comfyui diff --git a/.github/workflows/viewerjs-check.yml b/.github/workflows/viewerjs-check.yml index 7c57cd2b..8582a67d 100644 --- a/.github/workflows/viewerjs-check.yml +++ b/.github/workflows/viewerjs-check.yml @@ -1,6 +1,7 @@ name: Viewer.js vendor and compatibility on: + merge_group: pull_request: branches: [main] push: diff --git a/TESTING.md b/TESTING.md index fbf4c325..56f6e63f 100644 --- a/TESTING.md +++ b/TESTING.md @@ -745,11 +745,55 @@ with a literal true `strip_newlines` is `replace("\n", "").strip()`; (`N` = `inputcount`) after the literal delimiter unless missing or exactly `""`, and ignores later inputs. A linked setting is `unsupported-node`; a list output (`return_list` true or linked) and `PromptSearchList` are `runtime-value` ("Text is -decided at run time"), never one list item. Unverified text nodes (LoRAfromText, -RegexReplace, XYZPrompt, ImpactWildcardProcessor) stay `unsupported-node`. Every +decided at run time"), never one list item. Every intermediate text is length-checked and charged to the scanned-character budget. If the table cannot be loaded, graph inspection is `unresolved` ("Inspection node semantics are unavailable") and ingestion is unaffected, because it never imports the table. +Unknown nodes pass through (#381, maintainer-approved 2026-10-27; no per-node +inventory): an output whose class the table, its `facts`, `lineage` and the code's +adapters never name is read through, not refused. A `text` input is its text (the +legacy encoder rule, so RegexReplace or LoRAfromText show their input text), except +that a string output of a node with a seed input (`seed`, `noise_seed`, +`sampling_mode.seed`) and no linked `conditioning`/`positive`/`negative` input is +generated at run time (a language model such as TextGenerate, a wildcard): +`runtime-value` naming it. Else, at output slot 0 or 1 of a node with a `positive` or +`negative` input, only `positive` (slot 1, `negative`) is followed, nothing when it +is not linked; else a linked `conditioning` alone; else every linked input except +the table's `pass_through.skip_inputs` (core type inputs: model, clip, vae, image, +latent, ...), each traced with kind `any`. A followed input with no text adds +nothing; limits and selector choices propagate; another failure (`runtime-value`, +`composite`, `malformed`) blocks, unless a PromptManager node was reached: this +repository's own nodes are authoritative, and then only their texts count. One +distinct text resolves; several make the sampler `ambiguous` "Several prompts reach +the sampler" with one candidate per distinct outcome, in input order (at most 32, +else `work-limit`). A PromptManagerPair's execution record is what ran: while its +inputs are checked against it, a walk through an unknown node that fails, diverges +or passes text through is unverifiable and never overrides the record. No text +at all is `unsupported-node` naming the outermost unknown node. An unlisted output +of a listed class (a sampler, a loader, a lineage node) stays `unsupported-node`, so +the walk never reads another stage's prompt. `INSPECTION_RESOLVER_VERSION` is 2 for +this rule; ingestion keeps the default profile (`RESOLVER_VERSION` 1). The legacy +parity gate (`tests/test_legacy_parity_gate.py`) records, per corpus (the +generation-params vectors, the inspection parity fixtures, the local resolver golden +and selection cases, the unknown-node shapes in `tests/unknown_node_graphs.py`), +every graph whose inspection positive equals the legacy parser's; a graph may join +that list (`python3 -m tests.test_legacy_parity_gate --write`), never leave it. A graph +may read differently from legacy only when `LEGACY_WRONG` there states why (legacy's +first-sampler pick on a branch the file name identifies). +Saver anchoring (#381): an inspected file's name (`path.name` on the server, the chosen +file's name locally) anchors an unanchored inspection on the one node whose +`filename_prefix` (literal, or traced as a string) has a last path part that makes the +file's stem `_` with an optional trailing `_`. That node's linked inputs +are walked like a detailer's image ancestry, through any image node, and the listed +samplers found are the candidates. No match, several matches, a walk that fails or no +sampler found means no anchor: nothing is guessed and the file stays "several possible +prompts". Ingestion ignores file names. Shared-conditioning stages: in a sampler's +latent walk, an earlier sampler reading the very same conditioning links (positive and +negative, or a guider; compared by node ID text and slot) is the same prompt, not an +unattributed stage, when it is a plain first stage: not a detailer, no prompt override +set, and no listed sampler in its own latent ancestry (else it stays unattributed) (`tests/test_resolver_saver_anchor.py`, shapes in +`tests/saver_anchor_graphs.py` from the maintainer's `gpu_unlock_bench`, dataset and +ANIMA runs; browser parity through the `anchor-*` cases, which carry `__file_name`). `tools/inspection_corpus.py --root DIR --out JSONL [--workers N] [--baseline JSONL] [--summary TXT] [--code TREE]` measures a media folder read-only against the #240 diff --git a/__init__.py b/__init__.py index 6b06df52..a398acfd 100644 --- a/__init__.py +++ b/__init__.py @@ -23,24 +23,20 @@ Features: """ import atexit -import re import threading import time from pathlib import Path def get_version(): - """Parse version from pyproject.toml""" + """Parse version from pyproject.toml (``utils/version.py``).""" + from .utils.version import project_version + try: - pyproject_path = Path(__file__).parent / "pyproject.toml" - if pyproject_path.exists(): - content = pyproject_path.read_text() - match = re.search(r'version\s*=\s*["\']([^"\']+)["\']', content) - if match: - return match.group(1) + root = Path(__file__).parent except Exception: - pass - return "unknown" + return "unknown" + return project_version(root) from .prompt_manager import ( # noqa: E402 diff --git a/py/api/__init__.py b/py/api/__init__.py index ba47bbbd..ac839fc5 100644 --- a/py/api/__init__.py +++ b/py/api/__init__.py @@ -5,6 +5,8 @@ Split into domain-specific mixins for maintainability: - ImageRoutesMixin: gallery, thumbnails, image serving and linking - AdminRoutesMixin: duplicates, stats, settings, diagnostics, maintenance, backup, scan - LoggingRoutesMixin: log management endpoints +- LogCleanupMixin: the reviewed rotated-log cleanup (a maintenance plan) +- DiagnosticsReportMixin: the shareable diagnostic report, without secrets or paths - AutotagRoutesMixin: auto-tagging model management and tagging - JobRoutesMixin: the session job registry behind Activity (py/api/jobs.py) - ImageTagJobsMixin: bulk Add tags / Auto-tag as image-tags jobs @@ -65,6 +67,8 @@ from .duplicate_files import DuplicateFilesMixin from .maintenance_plans import PlanStore from .jobs import JobRegistry from .logging_routes import LoggingRoutesMixin +from .log_cleanup import LogCleanupMixin +from .diagnostics_report import DiagnosticsReportMixin from .autotag_routes import AutotagRoutesMixin from .lora_integration import LoraIntegrationMixin from .lora_import_routes import LoraImportRoutesMixin @@ -323,6 +327,8 @@ class PromptManagerAPI( WorkflowStorageRoutesMixin, DuplicateFilesMixin, LoggingRoutesMixin, + LogCleanupMixin, + DiagnosticsReportMixin, AutotagRoutesMixin, LoraIntegrationMixin, LoraImportRoutesMixin, @@ -678,6 +684,7 @@ class PromptManagerAPI( self._register_settings_routes(routes) self._register_job_routes(routes) self._register_system_routes(routes) + self._register_diagnostics_report_routes(routes) self._register_library_location_routes(routes) self._register_maintenance_routes(routes) self._register_backup_restore_routes(routes) diff --git a/py/api/admin.py b/py/api/admin.py index 04058222..4ebf8eea 100644 --- a/py/api/admin.py +++ b/py/api/admin.py @@ -489,9 +489,29 @@ def _diagnose_dependencies(): } -def _diagnose_output_dirs(configured_dirs): +def legacy_checks(db_path, public_path=None): + """The four checks of ``GET /diagnostics`` (blocking). + + Shared with the diagnostic report (``py/api/diagnostics_report.py``), + which passes its own ``public_path`` so a folder outside ComfyUI is never + named. + """ + from ..config import GalleryConfig + + return { + "database": _diagnose_database(db_path), + "dependencies": _diagnose_dependencies(), + "comfyui_output": _diagnose_output_dirs( + GalleryConfig.MONITORING_DIRECTORIES, public_path + ), + "image_monitor": _diagnose_image_monitor(public_path), + } + + +def _diagnose_output_dirs(configured_dirs, public_path=None): """Configured gallery roots, ComfyUI's output dir, or relative fallbacks.""" _public_path, _ = _public_helpers() + _public_path = public_path or _public_path candidates = list(configured_dirs) try: import folder_paths @@ -525,9 +545,10 @@ def _diagnose_output_dirs(configured_dirs): } -def _diagnose_image_monitor(): +def _diagnose_image_monitor(public_path=None): """Status of the running image monitor, with public directory names.""" _public_path, _public_error = _public_helpers() + _public_path = public_path or _public_path try: monitor = _current_image_monitor() if monitor is None: @@ -1055,16 +1076,7 @@ class AdminRoutesMixin: async def run_diagnostics(self, request): """Run comprehensive system diagnostics and health checks.""" try: - from ..config import GalleryConfig - - results = { - "database": _diagnose_database(self.db.model.db_path), - "dependencies": _diagnose_dependencies(), - "comfyui_output": _diagnose_output_dirs( - GalleryConfig.MONITORING_DIRECTORIES - ), - "image_monitor": _diagnose_image_monitor(), - } + results = legacy_checks(self.db.model.db_path) return web.json_response({"success": True, "diagnostics": results}) except Exception as e: diff --git a/py/api/diagnostics_report.py b/py/api/diagnostics_report.py new file mode 100644 index 00000000..dc2de83c --- /dev/null +++ b/py/api/diagnostics_report.py @@ -0,0 +1,289 @@ +"""The shareable diagnostic report (#329 System S12). + +``GET /prompt_manager/system/diagnostics`` answers a report built on the +server from an explicit list of fields: the project and Viewer.js versions, +Python and the platform, the four checks of the legacy ``GET /diagnostics`` +(one helper, ``admin.legacy_checks``), the database's public info, source +counts, the log configuration and statistics, the last health summary and +the configuration keys that only ``config.json`` holds. It never copies +``PromptManagerConfig.get_config()``: no path leaf is listed, and the CivitAI +key is reported only as ``has_civitai_api_key``. + +Every path in the report goes through ``report_path``: relative to the +closest public anchor that is not a filesystem root, else ``"outside +ComfyUI"``, never a basename that could be a user name. As a backstop, +``scrub`` replaces any string that still looks like an absolute path, holds +the saved key or the home folder (with or without its root), and counts each +replacement in ``redacted`` (0 for a correct builder). + +The report opens the database, so it takes a registry lease: it is refused +(409 ``busy``) while an ``exclusive`` job (a restore) runs, and a restore +waits for it. It is built off the event loop. +""" + +import datetime +import json +import ntpath +import os +import platform +import posixpath +import re +from pathlib import Path, PurePosixPath, PureWindowsPath + +from aiohttp import web + +from . import admin as _admin +from .job_routes import busy_response +from .jobs import JobBusy +from .system import health_summary + +try: + from ...utils.version import project_version +except ImportError: # loaded as the top-level ``py`` package (tests) + from utils.version import project_version + +DIAGNOSTICS_LEASE = "Diagnostics" +_ROOT = Path(__file__).resolve().parents[2] +VIEWERJS_PROVENANCE = str(_ROOT / "web" / "lib" / "viewerjs" / "provenance.json") +OUTSIDE = "outside ComfyUI" +REMOVED = "[removed]" +# The CivitAI key is searched for only when it is long enough to be a key. +MIN_KEY_LENGTH = 8 +_WINDOWS_ABSOLUTE = re.compile(r"^[A-Za-z]:[\\/]") + + +def anchored_path(canonical, anchors, home, pathmod=os.path): + """``canonical`` relative to the closest usable anchor, else ``outside ComfyUI``. + + All three are already canonical (``normcase``) in ``pathmod``'s spelling. + A filesystem root is never usable, nor is a strict ancestor of ``home`` + (``/home``, ``C:\\Users``), whose relative paths would start with a user + name; so a path inside the home folder needs an anchor at or below it. + """ + flavor = PureWindowsPath if pathmod is ntpath else PurePosixPath + target = flavor(canonical) + home_path = flavor(home) if home else None + usable = [] + for anchor in map(flavor, anchors): + if anchor.parent == anchor: + continue + if home_path is not None and home_path != anchor: + if home_path.is_relative_to(anchor): + continue + if target.is_relative_to(anchor): + usable.append(anchor) + if not usable: + return OUTSIDE + anchor = max(usable, key=lambda a: len(a.parts)) + return target.relative_to(anchor).as_posix() or "." + + +def _canonical(path): + return os.path.normcase(os.path.realpath(str(path))) + + +def report_path(path): + """``path`` relative to a public anchor (POSIX style), else ``outside ComfyUI``.""" + if not path: + return "" + from ..config import GalleryConfig + + try: + canonical = _canonical(path) + anchors = [_canonical(anchor) for anchor in GalleryConfig.path_anchors()] + home = os.path.expanduser("~") + home = _canonical(home) if home and home != "~" else None + except (OSError, ValueError): + return OUTSIDE + return anchored_path(canonical, anchors, home) + + +def _looks_absolute(text): + return ( + posixpath.isabs(text) + or ntpath.isabs(text) + or _WINDOWS_ABSOLUTE.match(text) is not None + or text.startswith("\\\\") + ) + + +# The home folder is matched only as whole path parts, never inside a word. +_PART = r"(? while ComfyUI + runs as a service account) can still be named by a report path. + """ + home = os.path.expanduser("~") + if not home or home == "~" or len(home) < 4 or home in ("/", "\\"): + return () + spellings = {home, home.replace("\\", "/")} + relative = os.path.splitdrive(home)[1].strip("\\/") + for spelling in (relative, relative.replace("\\", "/")): + if "/" in spelling or "\\" in spelling: + spellings.add(spelling) + patterns = [ + (re.compile(_PART.format(re.escape(spelling)), re.IGNORECASE), False) + for spelling in spellings + ] + name = re.split(r"[\\/]", relative)[-1] if relative else "" + if len(name) >= MIN_HOME_NAME: + # The bare name only inside a path ("info/x"), not a word ("INFO"). + patterns.append( + (re.compile(_PART.format(re.escape(name)), re.IGNORECASE), True) + ) + return tuple(patterns) + + +def scrub(report, key): + """``report`` with leaked paths and the key replaced, counted in ``redacted``.""" + key = key if isinstance(key, str) and len(key) >= MIN_KEY_LENGTH else None + homes = _home_patterns() + count = 0 + + def clean(value): + nonlocal count + if isinstance(value, str): + if ( + _looks_absolute(value) + or (key and key in value) + or any( + pattern.search(value) + for pattern, paths_only in homes + if not paths_only or "/" in value or "\\" in value + ) + ): + count += 1 + return REMOVED + return value + if isinstance(value, dict): + return {name: clean(item) for name, item in value.items()} + if isinstance(value, (list, tuple)): + return [clean(item) for item in value] + return value + + cleaned = clean(report) + cleaned["redacted"] = int(cleaned.get("redacted") or 0) + count + return cleaned + + +def viewerjs_version(path=None): + """The pinned Viewer.js version from its provenance file, or ``unknown``.""" + try: + with open(path or VIEWERJS_PROVENANCE, encoding="utf-8") as handle: + version = json.load(handle).get("version") + except (OSError, ValueError, AttributeError): + return "unknown" + return version if isinstance(version, str) and version else "unknown" + + +def public_config(): + """The configuration keys only ``config.json`` holds, from an explicit list.""" + from ..config import GalleryConfig, IntegrationConfig, PromptManagerConfig + + return { + "database": { + "enable_duplicate_detection": ( + PromptManagerConfig.ENABLE_DUPLICATE_DETECTION + ), + "enable_auto_save": PromptManagerConfig.ENABLE_AUTO_SAVE, + }, + "web_ui": { + "result_timeout": PromptManagerConfig.RESULT_TIMEOUT, + "show_test_button": PromptManagerConfig.SHOW_TEST_BUTTON, + "webui_display_mode": PromptManagerConfig.WEBUI_DISPLAY_MODE, + "infinite_scroll": PromptManagerConfig.INFINITE_SCROLL, + }, + "performance": { + "max_search_results": PromptManagerConfig.MAX_SEARCH_RESULTS, + "enable_fuzzy_search": PromptManagerConfig.ENABLE_FUZZY_SEARCH, + "auto_backup_interval": PromptManagerConfig.AUTO_BACKUP_INTERVAL, + "worker_threads": PromptManagerConfig.WORKER_THREADS, + }, + "gallery": { + "processing_delay": GalleryConfig.PROCESSING_DELAY, + "prompt_timeout": GalleryConfig.PROMPT_TIMEOUT, + "cleanup_interval": GalleryConfig.CLEANUP_INTERVAL, + "auto_cleanup_missing_files": GalleryConfig.AUTO_CLEANUP_MISSING_FILES, + "max_image_age_days": GalleryConfig.MAX_IMAGE_AGE_DAYS, + "max_concurrent_processing": GalleryConfig.MAX_CONCURRENT_PROCESSING, + "metadata_extraction_timeout": GalleryConfig.METADATA_EXTRACTION_TIMEOUT, + }, + "integrations": { + "lora_manager_enabled": bool(IntegrationConfig.LORA_MANAGER_ENABLED), + "has_civitai_api_key": bool(IntegrationConfig.CIVITAI_API_KEY), + }, + } + + +def _source_counts(sources): + configured = sources.get("configured") or [] + effective = sources.get("effective") or [] + return { + "configured": len(configured), + "effective": len(effective), + "watching": sum(1 for row in effective if row.get("watch") == "watching"), + "unavailable": sum(1 for row in configured if row.get("valid") is False), + } + + +class DiagnosticsReportMixin: + """Mixin providing ``GET /prompt_manager/system/diagnostics``.""" + + def _register_diagnostics_report_routes(self, routes): + @routes.get("/prompt_manager/system/diagnostics") + async def diagnostics_report_route(request): + return await self.get_diagnostics_report(request) + + async def get_diagnostics_report(self, request): + """The report, built off the loop under a lease (409 ``busy`` in a restore).""" + from ..config import IntegrationConfig + + try: + async with self._jobs.lease(DIAGNOSTICS_LEASE): + report = await self._run_in_executor(self.build_report) + except JobBusy as busy: + return busy_response(busy) + except Exception: + self.logger.exception("The diagnostic report could not be built") + return web.json_response( + { + "success": False, + "code": None, + "error": "The diagnostic report could not be built.", + }, + status=500, + ) + report = scrub(report, IntegrationConfig.CIVITAI_API_KEY) + return web.json_response(report, headers={"Cache-Control": "no-store"}) + + def build_report(self): + """The report's fields (blocking: reads the database and the log folder).""" + db = self.db + manager = self._get_logger_manager() + stats = dict(manager.get_log_stats()) + stats["log_directory"] = report_path(stats.get("log_directory")) + info = dict(db.model.get_database_info() or {}) + if "database_path" in info: + info["database_path"] = report_path(info["database_path"]) + sources, _monitor = self._source_status() + return { + "success": True, + "generated_at": datetime.datetime.now().replace(microsecond=0).isoformat(), + "version": project_version(_ROOT), + "python": platform.python_version(), + "platform": {"system": platform.system(), "release": platform.release()}, + "viewerjs": viewerjs_version(VIEWERJS_PROVENANCE), + "checks": _admin.legacy_checks(db.model.db_path, report_path), + "database_info": info, + "sources": _source_counts(sources), + "logging": {"config": dict(manager.get_config()), "stats": stats}, + "health": health_summary(self._current_health_report()), + "config": public_config(), + "redacted": 0, + } diff --git a/py/api/inspection_service.py b/py/api/inspection_service.py index ee8fa6c3..5c8e3e9c 100644 --- a/py/api/inspection_service.py +++ b/py/api/inspection_service.py @@ -129,8 +129,9 @@ def inspect_current_file( profile = ( PREVIEW_INSPECTION_PROFILE if _in_host_temp(path) else INSPECTION_PROFILE ) + # The file name anchors on the saver that wrote it (#381). evidence = inspect_prompt_evidence( - inspection.metadata, role_saved, profile=profile + inspection.metadata, role_saved, profile=profile, file_name=path.name ) return { "file": { diff --git a/py/api/log_cleanup.py b/py/api/log_cleanup.py new file mode 100644 index 00000000..f6248388 --- /dev/null +++ b/py/api/log_cleanup.py @@ -0,0 +1,207 @@ +"""Reviewed rotated-log cleanup as a maintenance plan (#329 System S12). + +``POST /prompt_manager/maintenance/preview {operation: "rotated_logs", +options: {}}`` lists the rotated copies of the active log that Rule R allows +(``utils/logging_config.py``: ``prompt_manager.log.`` regular files that +are not links, directly in the log folder) and writes nothing. The plan keeps +each copy's name, size, ``mtime_ns`` and inode under its token; the response +is the maintenance ``Plan`` shape with basenames only, a ``none`` backup +policy (no library record changes) and no ``disk`` key. + +``POST /prompt_manager/maintenance/apply {token}`` starts a ``maintenance`` +job titled "Rotated log copies" with admission ``read``: it may run beside a +scan and is refused only beside another maintenance job or an ``exclusive`` +one. The job deletes exactly the reviewed copies under the logger's files +lock and the file handler's lock, or nothing, failing ``plan-changed``, when +any of them is missing, is no longer a rotated copy or differs in size, +``mtime_ns`` or inode. A copy that cannot be deleted (open in another program +on Windows) is an ``errors`` row; the others are deleted. +""" + +import datetime +import json + +from aiohttp import web + +try: + from ...utils.logging_config import RotatedChanged, rotated_sort_key +except ImportError: # loaded as the top-level ``py`` package (tests) + from utils.logging_config import RotatedChanged, rotated_sort_key + +from .jobs import MAINTENANCE_JOB_KIND +from .maintenance_plans import ScopeTooLarge + +ROTATED_LOGS = "rotated_logs" +LOG_CLEANUP_TITLE = "Rotated log copies" +LOGS_CHANGED = ( + "The log files changed since the review; nothing was deleted. Review again." +) +LOG_CLEANUP_FAILED = "The log cleanup failed." +TOO_MANY_LOG_FILES = "Too many log files to review at once." +LOG_CLEANUP_MEDIA = ( + "Deletes only the listed log files. No image, video or library record changes." +) +_GROUPS = ("changed", "protected", "errors") + + +def size_label(size): + """``1000 bytes``, ``2.0 KB``, ``10.0 MB`` or ``1.2 GB`` (1 KB = 1024 bytes).""" + size = max(0, int(size or 0)) + if size < 1024: + return f"{size} {'byte' if size == 1 else 'bytes'}" + for unit, scale in (("KB", 2**10), ("MB", 2**20)): + if size < scale * 1024: + return f"{size / scale:.1f} {unit}" + return f"{size / 2**30:.1f} GB" + + +def time_label(mtime_ns): + """The local modification time as ``YYYY-MM-DD HH:MM``.""" + try: + moment = datetime.datetime.fromtimestamp(mtime_ns / 1e9) + except (OSError, OverflowError, ValueError): # a time before 1970 on Windows + return "unknown time" + return moment.strftime("%Y-%m-%d %H:%M") + + +def _count(count, singular, plural): + return f"{count} {singular if count == 1 else plural}" + + +def _protected_reasons(rows): + """The plan's Protected reasons: what the cleanup keeps, zero counts left out.""" + active = sum(1 for row in rows if row["kind"] == "active") + links = sum(1 for row in rows if row["kind"] == "link") + other = sum(1 for row in rows if row["kind"] == "other") + reasons = [] + if active: + reasons.append("Kept: the active log") + if links: + reasons.append(f"Kept: {_count(links, 'link', 'links')}") + if other: + reasons.append(f"Kept: {_count(other, 'other file', 'other files')}") + return active + links + other, reasons + + +def _scope_label(files): + if not files: + return "No rotated log copies" + total = sum(row["size"] for row in files) + return ( + f"{_count(len(files), 'rotated log copy', 'rotated log copies')}" + f" · {size_label(total)}" + ) + + +class LogCleanupMixin: + """The ``rotated_logs`` maintenance plan and its job. + + The logger manager is reached only through ``_get_logger_manager`` + (``logging_routes.py``), so the tests can point it at a temporary folder. + """ + + async def preview_log_cleanup(self): + """The ``rotated_logs`` plan (runs inside the preview's lease).""" + from . import maintenance + + manager = self._get_logger_manager() + try: + rows = await self._run_in_executor(manager.scan_log_folder) + except Exception: + self.logger.exception("Rotated log review failed") + return maintenance._failure("Failed to review maintenance", 500) + rotated = sorted( + (row for row in rows if row["kind"] == "rotated"), + key=rotated_sort_key, + ) + files = [ + { + "name": row["name"], + "size": row["size"], + "mtime_ns": row["mtime_ns"], + "ino": row["ino"], + } + for row in rotated + ] + protected, reasons = _protected_reasons(rows) + store = self._maintenance_plans + try: + token = store.issue( + ROTATED_LOGS, + json.dumps(files, sort_keys=True), + {"files": files, "protected": protected}, + (), + ) + except ScopeTooLarge: + return maintenance._failure(TOO_MANY_LOG_FILES, 413, "too-large") + plan = store.peek(token, ROTATED_LOGS) + return web.json_response( + { + "success": True, + "token": token, + "operation": ROTATED_LOGS, + "expires_at": maintenance._iso(plan.expires_at), + "scope": {"count": len(files), "label": _scope_label(files)}, + "protected": {"count": protected, "reasons": reasons}, + "backup": { + "policy": "none", + "destination_label": None, + "expected_bytes": None, + }, + "media": {"deletes_files": True, "label": LOG_CLEANUP_MEDIA}, + "details": [ + { + "label": row["name"], + "detail": ( + f"{size_label(row['size'])} · {time_label(row['mtime_ns'])}" + ), + } + for row in files + ], + }, + headers={"Cache-Control": "no-store"}, + ) + + def _start_log_cleanup(self, plan): + """Register the cleanup job (on the loop); raises JobBusy when refused.""" + return self._jobs.start( + MAINTENANCE_JOB_KIND, + LOG_CLEANUP_TITLE, + admission="read", + cancellable=False, + scope={"operation": ROTATED_LOGS}, + groups=_GROUPS, + runner=lambda job: self._run_log_cleanup(job, plan), + ) + + async def _run_log_cleanup(self, job, plan): + from . import maintenance + + files = plan.payload["files"] + sizes = {row["name"]: row["size"] for row in files} + job.update(total=len(files), status_line="Deleting rotated log copies") + manager = self._get_logger_manager() + try: + result = await self._run_in_executor(manager.delete_rotated, files) + except RotatedChanged: + return maintenance._fail_job(job, "plan-changed", LOGS_CHANGED) + except Exception: + self.logger.exception("Rotated log cleanup failed") + return maintenance._fail_job(job, None, LOG_CLEANUP_FAILED) + for name in result["removed"]: + detail = f"Deleted · {size_label(sizes.get(name, 0))}" + job.record( + "changed", {"path": name, "detail": detail}, f"- {name} · {detail}" + ) + for name, error in result["failed"]: + detail = self._public_error(error) + job.record( + "errors", {"path": name, "detail": detail}, f"! {name} · {detail}" + ) + job.record_counted("protected", plan.payload["protected"]) + removed, failed = len(result["removed"]), len(result["failed"]) + line = f"Deleted {_count(removed, 'rotated log copy', 'rotated log copies')}" + if failed: + line += f", {failed} could not be deleted" + job.log_line(line) + job.update(processed=len(files), progress=100, status_line=line) diff --git a/py/api/logging_routes.py b/py/api/logging_routes.py index 5329a1f0..8918986c 100644 --- a/py/api/logging_routes.py +++ b/py/api/logging_routes.py @@ -1,6 +1,13 @@ -"""Logging API routes for PromptManager.""" +"""Logging API routes for PromptManager. + +Every route that names a log file goes through Rule R (#329, +``utils/logging_config.py``): a download is served only for a regular, +non-link file listed directly in the log folder, and Clear deletes only +rotated copies. File work runs off the event loop. +""" import os +import stat from aiohttp import web @@ -85,6 +92,41 @@ def _validate_log_config(data): return clean, None +def _read_log_bytes(path): + """The whole file at ``path``, opened without following a link (blocking). + + The file is checked again through the open handle: a regular file with + one name and, when ``path`` carries it, the inode it was listed with. A + name swapped for a link or another file after it was listed, or a hard + link to a file elsewhere, is refused as missing. The handle is closed + before this returns. + """ + flags = os.O_RDONLY | getattr(os, "O_BINARY", 0) | getattr(os, "O_NOFOLLOW", 0) + # A FIFO swapped in after the listing must not block the executor thread. + flags |= getattr(os, "O_NONBLOCK", 0) + try: + fd = os.open(str(path), flags) + except OSError as error: + if getattr(os, "O_NOFOLLOW", 0) and os.path.islink(str(path)): + raise FileNotFoundError("Log file not found") from error + raise + listed_ino = getattr(path, "listed_ino", 0) + with os.fdopen(fd, "rb") as handle: + opened = os.fstat(handle.fileno()) + if ( + not stat.S_ISREG(opened.st_mode) + or opened.st_nlink > 1 # a hard link to a file elsewhere + or (listed_ino and opened.st_ino and opened.st_ino != listed_ino) + ): + raise FileNotFoundError("Log file not found") + return handle.read() + + +def _download(logger_manager, filename): + """``bytes`` of a downloadable log file; FileNotFoundError otherwise.""" + return _read_log_bytes(logger_manager.log_file_entry(filename)) + + class LoggingRoutesMixin: """Mixin providing logging-related API endpoints.""" @@ -195,16 +237,16 @@ class LoggingRoutesMixin: {"success": False, "error": "Invalid filename"}, status=400 ) - log_file_path = logger_manager.log_dir / filename - - if not log_file_path.exists(): + try: + file_content = await self._run_in_executor( + _download, logger_manager, filename + ) + except FileNotFoundError: + # Missing, a link, a folder or not listed: all read as absent. return web.json_response( {"success": False, "error": "Log file not found"}, status=404 ) - with open(log_file_path, "rb") as f: - file_content = f.read() - return web.Response( body=file_content, content_type="text/plain", @@ -224,7 +266,7 @@ class LoggingRoutesMixin: """Truncate all log files.""" try: logger_manager = self._get_logger_manager() - results = logger_manager.truncate_logs() + results = await self._run_in_executor(logger_manager.truncate_logs) return web.json_response( { @@ -266,7 +308,7 @@ class LoggingRoutesMixin: return web.json_response({"success": False, "error": error}, status=400) logger_manager = self._get_logger_manager() - logger_manager.update_config(clean) + await self._run_in_executor(logger_manager.update_config, clean) return web.json_response( { diff --git a/py/api/maintenance.py b/py/api/maintenance.py index 98cb6488..dd103b85 100644 --- a/py/api/maintenance.py +++ b/py/api/maintenance.py @@ -2,7 +2,9 @@ ``POST /prompt_manager/maintenance/preview {operation, options:{}}`` reviews one operation (``duplicate_prompts``, ``optimize``, ``unused_components`` or -``missing_links``; ``database/maintenance.py``) off the event loop and +``missing_links``; ``database/maintenance.py``; ``duplicate_files``, +``py/api/duplicate_files.py``; ``rotated_logs``, the rotated log copies, +``py/api/log_cleanup.py``, which has its own apply job) off the event loop and answers a ``Plan``: ``{success, token, operation, expires_at, scope:{count, label}, protected:{count, reasons}, backup:{policy, destination_label}, media:{deletes_files, label}, details:[≤50 {label, detail}]}``. The preview @@ -54,6 +56,7 @@ from aiohttp import web from .admin import _prune_safety_backups, _scan_location, _scan_roots from .job_routes import busy_response from .jobs import MAINTENANCE_JOB_KIND, JobBusy +from .log_cleanup import ROTATED_LOGS from .maintenance_plans import PlanExpired, PlanUsed, ScopeTooLarge try: @@ -83,7 +86,8 @@ MAINTENANCE_PREVIEW_LEASE = "Maintenance preview" DUPLICATE_PREVIEW_BODY_MAX = 1024 * 1024 DUPLICATE_FILES = "duplicate_files" WORKFLOW_STORAGE = "workflow_storage" # applied by py/api/workflow_storage.py -PREVIEW_OPERATIONS = MAINTENANCE_OPERATIONS + (DUPLICATE_FILES,) +# rotated_logs (#329, py/api/log_cleanup.py) reviews log files, not records. +PREVIEW_OPERATIONS = MAINTENANCE_OPERATIONS + (DUPLICATE_FILES, ROTATED_LOGS) # Room left over beyond what a step writes, so a disk is never filled to 0. DISK_MARGIN_BYTES = 16 * 2**20 # The concept's Maintenance row titles, which name each operation's job. @@ -391,6 +395,8 @@ class MaintenanceRoutesMixin: return await self.preview_duplicate_files(options) if not isinstance(options, dict) or options: return _invalid(f"{operation} takes no options") + if operation == ROTATED_LOGS: + return await self.preview_log_cleanup() db = self.db identity = self._database_identity(db) try: @@ -492,6 +498,17 @@ class MaintenanceRoutesMixin: if refused is not None: return refused store = self._maintenance_plans + if plan.operation == ROTATED_LOGS: + # Log files only: no database identity, backup or disk check. + try: + job = self._start_log_cleanup(plan) + except JobBusy as busy: + return busy_response(busy) # the token stays usable + # Same loop turn as the peek and the start: the runner has not run. + store.consume(token, plan.operation, job_id=job.id) + return web.json_response( + {"success": True, "job": job.summary()}, status=202 + ) db = self.db if plan.db_identity != self._database_identity(db): store.discard(token) diff --git a/tests/browser/fast_reset.py b/tests/browser/fast_reset.py new file mode 100644 index 00000000..c305c686 --- /dev/null +++ b/tests/browser/fast_reset.py @@ -0,0 +1,283 @@ +"""Run a browser-test fixture seeder off the live database, then publish once (#384). + +The seeders make hundreds of small commits. On a slow CI disk the live +database's commits queue behind WAL checkpoint syncs and a reset took over +30 s. ``ScratchSeeder.run`` instead: + +1. copies the live database into a scratch database (SQLite backup API) whose + connections never sync (a crash loses only the copy); +2. runs the unchanged seeder against an API proxy whose ``db`` is the scratch + database; everything else (files, thumbnails, caches, command state) is + the live API's, written exactly as before; +3. replaces the rows of every table the seed changed in the live database, in + one transaction on the live connection. Tables the seed left alone are not + touched, so state another fixture owns stays as it was. + +A commit by any other live connection while the seed ran fails the reset +instead of being overwritten (``PRAGMA data_version``). +""" + +from __future__ import annotations + +import hashlib +import os +import shutil +import sqlite3 +import tempfile +import weakref +from pathlib import Path +from typing import Any, Callable, TypeVar + +T = TypeVar("T") + +# Set to 1 to run seeders on the live database as before #384 (the equivalence +# proof, tests/browser/reset_equivalence.py, compares both ways). +SEED_ON_LIVE_ENV = "PM_TEST_SEED_ON_LIVE" +SCRATCH_SCHEMA = "reset_seed" +# API calls a seed makes that must see the published rows (see _SeedApi). +DEFERRED_CALLS = frozenset({"invalidate_gallery_cache"}) +# Linux's shared-memory tmpfs (present in the Playwright image and on runners). +MEMORY_ROOT = Path("/dev/shm") +# The largest fixtures' scratch copy is about 8 MB (database plus a WAL that +# autocheckpoints near 4 MB). Docker's default /dev/shm is 64 MB, shared with +# the browsers and the other workers; with less free than this, the scratch +# copy goes on disk instead. +MEMORY_FREE_BYTES = 32 * 1024 * 1024 +# Scratch folders are named -. +SCRATCH_PREFIX = "pm-reset-" + + +def _quote(name: str) -> str: + return '"' + name.replace('"', '""') + '"' + + +def _tables(conn: sqlite3.Connection, schema: str = "main") -> list[str]: + rows = conn.execute( + f"SELECT name, sql FROM {schema}.sqlite_master WHERE type = 'table' " + "ORDER BY name" + ).fetchall() + for name, sql in rows: + if sql and sql.lstrip().upper().startswith("CREATE VIRTUAL"): + raise NotImplementedError(f"virtual table {name} cannot be copied") + return [name for name, _sql in rows] + + +def _columns(conn: sqlite3.Connection, table: str, schema: str = "main") -> list[str]: + """Writable columns (hidden and generated ones excluded), plus ``rowid`` + when the table has a rowid that no INTEGER PRIMARY KEY column carries.""" + info = conn.execute(f"PRAGMA {schema}.table_xinfo({_quote(table)})").fetchall() + columns = [row[1] for row in info if row[6] == 0] + keys = [row for row in info if row[5]] + sql = conn.execute( + f"SELECT sql FROM {schema}.sqlite_master WHERE type = 'table' AND name = ?", + (table,), + ).fetchone()[0] + without_rowid = sql is not None and "WITHOUT ROWID" in sql.upper() + integer_key = len(keys) == 1 and str(keys[0][2]).upper() == "INTEGER" + if not without_rowid and not integer_key and table != "sqlite_sequence": + columns.insert(0, "rowid") + return columns + + +def table_digests(conn: sqlite3.Connection, schema: str = "main") -> dict[str, str]: + """A digest of every table's rows (rowids included), by table name.""" + result = {} + for table in _tables(conn, schema): + selected = ", ".join( + _quote(c) if c != "rowid" else "rowid" + for c in _columns(conn, table, schema) + ) + digest = hashlib.sha256() + rows = conn.execute(f"SELECT {selected} FROM {schema}.{_quote(table)}") + for row in sorted(repr(tuple(row)) for row in rows): + digest.update(row.encode("utf-8", "surrogatepass")) + digest.update(b"\n") + result[table] = digest.hexdigest() + return result + + +def _process_alive(pid: int) -> bool: + try: + os.kill(pid, 0) + except ProcessLookupError: + return False + except OSError: + return True # it exists but belongs to someone else + return True + + +def remove_orphaned_scratch(root: Path) -> None: + """Remove scratch folders of servers that died without cleaning up. + + A server killed outright (SIGKILL, a crash) never runs ``close``, and + tmpfs keeps its folder in memory until reboot. The folder name carries + the owner's process id; a folder whose process is gone is removed. + """ + if os.name != "posix": + return # os.kill(pid, 0) would terminate the process on Windows + for folder in root.glob(f"{SCRATCH_PREFIX}*-*"): + pid = folder.name[len(SCRATCH_PREFIX) :].split("-", 1)[0] + if pid.isdigit() and not _process_alive(int(pid)): + shutil.rmtree(folder, ignore_errors=True) + + +class _SeedApi: + """The live API, except that ``db`` is the scratch database. + + Cache drops the seed asks for (``DEFERRED_CALLS``) are recorded and made + after the publish: dropped earlier, a request in between would cache the + live database's old rows again. + """ + + def __init__(self, api: Any, db: Any) -> None: + object.__setattr__(self, "_api", api) + object.__setattr__(self, "db", db) + object.__setattr__(self, "deferred", []) + + def __getattr__(self, name: str) -> Any: + if name in DEFERRED_CALLS: + + def record(*args: Any, **kwargs: Any) -> None: + self.deferred.append((name, args, kwargs)) + + return record + return getattr(self._api, name) + + def __setattr__(self, name: str, value: Any) -> None: + setattr(self._api, name, value) + + +class ScratchSeeder: + """Seed into a scratch copy and publish the changed tables in one commit.""" + + def __init__( + self, + api: Any, + directory: Path, + *, + on_live: bool = False, + memory_root: Path | None = MEMORY_ROOT, + ) -> None: + self._api = api + self._fallback = Path(directory) + self._memory_root = memory_root + self._directory: Path | None = None + self._on_live = on_live + self._scratch = None + self._unsynced: "weakref.WeakSet[sqlite3.Connection]" = weakref.WeakSet() + + def run(self, seed: Callable[[Any], T]) -> T: + """Run ``seed(api)`` (blocking; call it in an executor thread).""" + if self._on_live: + return seed(self._api) + live = self._api.db.model.get_connection() + if live.in_transaction: + raise RuntimeError("the live connection has an open transaction") + version = live.execute("PRAGMA data_version").fetchone()[0] + scratch = self._scratch_database() + target = self._scratch_connection(scratch) + with target.using(): + live.backup(target) + before = table_digests(target) + target_api = _SeedApi(self._api, scratch) + result = seed(target_api) + target = self._scratch_connection(scratch) + if target.in_transaction: + raise RuntimeError("the seed left a scratch transaction open") + after = table_digests(target) + changed = [table for table in after if after[table] != before.get(table)] + if set(before) != set(after): + raise RuntimeError("the seed changed the database schema") + if live.execute("PRAGMA data_version").fetchone()[0] != version: + raise RuntimeError("the live database changed while the seed ran") + self._publish(live, scratch.model.db_path, changed, version) + for name, args, kwargs in target_api.deferred: + getattr(self._api, name)(*args, **kwargs) + return result + + def _scratch_database(self): + if self._scratch is None: + from database.operations import PromptDatabase + + self._directory = self._scratch_directory() + self._scratch = PromptDatabase(str(self._directory / "seed.db")) + return self._scratch + + def _scratch_connection(self, scratch) -> sqlite3.Connection: + """The calling thread's scratch connection, set never to sync.""" + conn = scratch.model.get_connection() + if conn not in self._unsynced: + conn.execute("PRAGMA synchronous = OFF") + self._unsynced.add(conn) + return conn + + @staticmethod + def _publish( + live: sqlite3.Connection, path: str, tables: list[str], version: int + ) -> None: + """Replace ``tables`` with the scratch rows in one live transaction. + + ``version`` is the live ``data_version`` read before the seed. It is + checked again under the write lock: a writer whose transaction was + open during the seed commits before ``BEGIN IMMEDIATE`` returns, and + its rows must fail the reset instead of being overwritten. + """ + if not tables: + return + foreign_keys = live.execute("PRAGMA foreign_keys").fetchone()[0] + # Rows are copied as they are; no cascade may reach a table left alone. + live.execute("PRAGMA foreign_keys = OFF") + try: + live.execute(f"ATTACH DATABASE ? AS {SCRATCH_SCHEMA}", (path,)) + try: + live.execute("BEGIN IMMEDIATE") + try: + if live.execute("PRAGMA data_version").fetchone()[0] != version: + raise RuntimeError( + "the live database changed while the seed ran" + ) + for table in tables: + columns = ", ".join( + _quote(c) if c != "rowid" else "rowid" + for c in _columns(live, table) + ) + name = _quote(table) + live.execute(f"DELETE FROM main.{name}") + live.execute( + f"INSERT INTO main.{name} ({columns}) " + f"SELECT {columns} FROM {SCRATCH_SCHEMA}.{name}" + ) + live.commit() + except BaseException: + live.rollback() + raise + finally: + live.execute(f"DETACH DATABASE {SCRATCH_SCHEMA}") + finally: + live.execute(f"PRAGMA foreign_keys = {int(foreign_keys)}") + + def close(self) -> None: + """Close every scratch connection, then remove the scratch files.""" + if self._on_live: + return + if self._scratch is not None: + self._scratch.close_all() + self._scratch = None + if self._directory is not None: + shutil.rmtree(self._directory, ignore_errors=True) + self._directory = None + + def _scratch_directory(self) -> Path: + """A folder in memory (tmpfs) where there is one, else ``directory``. + + Even unsynced, scratch writes on the runner's disk wait whenever the + kernel is writing back the pages they rewrite. + """ + root = self._memory_root + if root is not None and root.is_dir() and os.access(root, os.W_OK): + remove_orphaned_scratch(root) + if shutil.disk_usage(root).free >= MEMORY_FREE_BYTES: + prefix = f"{SCRATCH_PREFIX}{os.getpid()}-" + return Path(tempfile.mkdtemp(prefix=prefix, dir=root)) + self._fallback.mkdir(parents=True, exist_ok=True) + return self._fallback diff --git a/tests/browser/folder_trash.py b/tests/browser/folder_trash.py new file mode 100644 index 00000000..b1af2282 --- /dev/null +++ b/tests/browser/folder_trash.py @@ -0,0 +1,78 @@ +"""Empty a browser-test media folder without waiting for the disk (#384). + +A reset used to ``shutil.rmtree`` the output and input folders the last +fixture wrote. Unlinking a file whose pages are still being written back +waits for that write, so on a slow CI disk a reset stalled in ``rmtree``. +``replace_folder`` renames the old folder into ``/reset-trash`` (one +metadata change) and makes a new empty one; a background thread deletes the +trash, and ``close_trash`` stops that thread and removes what is left before +the server's temp root goes. +""" + +from __future__ import annotations + +import queue +import shutil +import threading +import uuid +from pathlib import Path + +TRASH_NAME = "reset-trash" + + +class _Trash: + def __init__(self, directory: Path) -> None: + self.directory = directory + self._queue: "queue.SimpleQueue[Path | None]" = queue.SimpleQueue() + self._thread = threading.Thread( + target=self._work, name="pm-reset-trash", daemon=True + ) + self._thread.start() + + def _work(self) -> None: + while (folder := self._queue.get()) is not None: + shutil.rmtree(folder, ignore_errors=True) + + def discard(self, folder: Path) -> None: + self.directory.mkdir(exist_ok=True) + moved = self.directory / f"{folder.name}-{uuid.uuid4().hex}" + folder.rename(moved) + self._queue.put(moved) + + def close(self) -> None: + self._queue.put(None) + self._thread.join() + shutil.rmtree(self.directory, ignore_errors=True) + + +_trashes: dict[Path, _Trash] = {} +# Trash folders whose server has cleaned up: a reset still running then +# deletes in place instead of starting a thread nobody would stop. +_closed: set[Path] = set() +_lock = threading.Lock() + + +def replace_folder(folder: Path) -> None: + """Make ``folder`` an empty folder; its old content is deleted later.""" + folder = Path(folder) + if folder.exists(): + directory = folder.parent / TRASH_NAME + with _lock: + trash = _trashes.get(directory) + if trash is None and directory not in _closed: + trash = _trashes[directory] = _Trash(directory) + if trash is not None: + trash.discard(folder) + if folder.exists(): + shutil.rmtree(folder) + folder.mkdir() + + +def close_trash(parent: Path) -> None: + """Stop deleting under ``parent``'s trash and remove it (blocking).""" + directory = Path(parent) / TRASH_NAME + with _lock: + _closed.add(directory) + trash = _trashes.pop(directory, None) + if trash is not None: + trash.close() diff --git a/tests/browser/reset_equivalence.py b/tests/browser/reset_equivalence.py new file mode 100644 index 00000000..b037e5c8 --- /dev/null +++ b/tests/browser/reset_equivalence.py @@ -0,0 +1,279 @@ +"""Prove the scratch-seeded resets leave the state the old resets left (#384). + +Run by hand on Linux (the browser server's platform): + + python -m tests.browser.reset_equivalence + +It starts the browser server three times: twice seeding on the live database +as before #384 (``PM_TEST_SEED_ON_LIVE=1``) and once with the scratch seeder. +Each server gets the same sequence: every reset kind of ``/__test__/reset`` +and ``/__test__/concept/reset``, with other fixtures' resets and API writes +between them. After every reset it reads every table's rows (by rowid), the +output and input file trees (size, SHA-256, mtime) and the response body. + +Values that differ between the two old runs are wall-clock values (created_at, +an unpinned concept "now", file mtimes); they are masked. Everything else must +be equal between the old runs and the new one. Exit status 0 means equal. +""" + +from __future__ import annotations + +import hashlib +import json +import os +import sqlite3 +import subprocess +import sys +import tempfile +import time +import urllib.request +from pathlib import Path + +REPO_ROOT = Path(__file__).resolve().parents[2] +READY_TIMEOUT_S = 60 +CLOCK = "" + +RESETS = [ + ("/__test__/reset", {}), + ("/__test__/reset", {"extra_images": 2}), + ("/__test__/reset", {"extra_images": 108}), + ("/__test__/reset", {"include_video": True}), + ("/__test__/reset", {"prompt_inspector": True}), + ("/__test__/reset", {"native_library": True}), + ("/__test__/reset", {"native_library": True, "extra_prompts": 125}), + ("/__test__/reset", {"native_library": True, "extra_variants": 41}), + ("/__test__/reset", {"workspace_visual": True}), + ("/__test__/reset", {"full_inspector": True}), + ( + "/__test__/reset", + {"full_inspector": True, "include_video": True, "extra_images": 2}, + ), + ("/__test__/reset", {"chronological_history": True}), + ("/__test__/reset", {"chronological_history": True, "history_runs": 85}), + ("/__test__/concept/reset", {}), + ("/__test__/concept/reset", {"extra_images": 100}), + ("/__test__/concept/reset", {"seedless_images": 2, "short_seedless": True}), + ("/__test__/concept/reset", {"now": 1_780_000_000}), +] +# Writes by other fixtures and the API between resets; the resets must keep or +# replace them exactly as before. +DIRTY = [ + ("/__test__/tagging/reset", {}), + ("/__test__/system/reset", None), + ( + "/__test__/saved-views/raw", + {"page": "images", "name": "dirty", "state": "{}"}, + ), +] + + +class Server: + def __init__(self, on_live: bool) -> None: + self.tmp = tempfile.TemporaryDirectory(prefix="pm-equivalence-") + env = {**os.environ, "TMPDIR": self.tmp.name} + env.update(TEMP=self.tmp.name, TMP=self.tmp.name) + env.pop("PM_TEST_SEED_ON_LIVE", None) + if on_live: + env["PM_TEST_SEED_ON_LIVE"] = "1" + self.process = subprocess.Popen( + [ + sys.executable, + "-m", + "tests.browser.server", + "--port", + "0", + "--exit-on-stdin-eof", + ], + cwd=REPO_ROOT, + env=env, + stdin=subprocess.PIPE, + stdout=subprocess.PIPE, + stderr=subprocess.DEVNULL, + ) + line = self.process.stdout.readline().decode() + if not line.startswith("PM_TEST_SERVER_PORT="): + raise RuntimeError(f"no port line: {line!r}") + self.base = f"http://127.0.0.1:{int(line.split('=', 1)[1])}" + deadline = time.monotonic() + READY_TIMEOUT_S + while True: + try: + self.post_json("GET", "/prompt_manager/test", None) + break + except OSError: + if time.monotonic() > deadline or self.process.poll() is not None: + raise + time.sleep(0.1) + (self.root,) = Path(self.tmp.name).glob("pm-browser-*") + + def post_json(self, method: str, path: str, data) -> dict: + body = None if data is None else json.dumps(data).encode() + request = urllib.request.Request( + self.base + path, + data=body if method == "POST" else None, + method=method, + headers={"Content-Type": "application/json"} if body else {}, + ) + with urllib.request.urlopen(request, timeout=120) as response: # nosec B310 + text = response.read().decode() + try: + return json.loads(text) + except ValueError: + return {"text": text[:200]} + + def stop(self) -> None: + self.process.stdin.close() + self.process.wait(timeout=READY_TIMEOUT_S) + self.process.stdout.close() + self.tmp.cleanup() + + +def read_tables(path: Path) -> dict: + conn = sqlite3.connect(path.as_uri() + "?mode=ro", uri=True) + try: + tables = {} + names = [ + row[0] + for row in conn.execute( + "SELECT name FROM sqlite_master WHERE type='table' ORDER BY name" + ) + ] + for name in names: + quoted = '"' + name.replace('"', '""') + '"' + columns = [row[1] for row in conn.execute(f"PRAGMA table_info({quoted})")] + try: + cursor = conn.execute(f"SELECT rowid, * FROM {quoted} ORDER BY rowid") + columns = ["rowid", *columns] + except sqlite3.OperationalError: + cursor = conn.execute(f"SELECT * FROM {quoted} ORDER BY 1") + rows = [ + [value.hex() if isinstance(value, bytes) else value for value in row] + for row in cursor + ] + tables[name] = {"columns": columns, "rows": rows} + return tables + finally: + conn.close() + + +def read_files(root: Path) -> dict: + files = {} + for top in ("output", "input"): + for path in sorted((root / top).rglob("*")): + if path.is_file(): + stat = path.stat() + files[path.relative_to(root).as_posix()] = [ + stat.st_size, + hashlib.sha256(path.read_bytes()).hexdigest(), + stat.st_mtime_ns, + ] + return files + + +def flatten(value, prefix="") -> dict: + if isinstance(value, dict): + out = {} + for key, item in value.items(): + out.update(flatten(item, f"{prefix}/{key}")) + return out + if isinstance(value, list): + out = {f"{prefix}#len": len(value)} + for index, item in enumerate(value): + out.update(flatten(item, f"{prefix}[{index}]")) + return out + return {prefix: value} + + +def snapshot(server: Server, response: dict) -> dict: + flat = {} + for table, data in read_tables(server.root / "browser.db").items(): + flat[f"table {table}#rows"] = len(data["rows"]) + for index, row in enumerate(data["rows"]): + for column, value in zip(data["columns"], row): + flat[f"table {table}[{index}].{column}"] = value + for name, (size, digest, mtime) in read_files(server.root).items(): + flat[f"file {name}"] = [size, digest] + flat[f"file {name}#mtime"] = mtime + flat["files#count"] = sum( + 1 for key in flat if key.startswith("file ") and "#" not in key + ) + for key, value in flatten(response).items(): + flat[f"response{key}"] = value + # Each server has its own temp root and a random storage epoch; name them + # instead of masking every column that carries them. + epoch = flat.get("table execution_history_metadata[0].storage_epoch") + names = [(str(server.root), "")] + if isinstance(epoch, str) and epoch: + names.append((epoch, "")) + for key, value in flat.items(): + if isinstance(value, str): + for text, name in names: + value = value.replace(text, name) + flat[key] = value + return flat + + +def run(on_live: bool) -> list[dict]: + server = Server(on_live) + try: + states = [] + for index, (path, data) in enumerate(RESETS * 2): + dirty_path, dirty_data = DIRTY[index % len(DIRTY)] + server.post_json("POST", dirty_path, dirty_data) + started = time.monotonic() + response = server.post_json("POST", path, data) + elapsed = time.monotonic() - started + print(f" {'old' if on_live else 'new'} {path} {data}: {elapsed:.2f}s") + states.append(snapshot(server, response)) + return states + finally: + server.stop() + + +def column_key(key: str) -> str: + """``table t[3].created_at`` -> ``table t.created_at`` (mask whole columns).""" + if key.startswith("table ") and "[" in key: + head, _, tail = key.partition("[") + return head + tail.partition("]")[2] + return key + + +def main() -> int: + old_a, old_b, new = run(True), run(True), run(False) + failures = 0 + masked_all = set() + for step, (path, data) in enumerate(RESETS * 2): + a, b, n = old_a[step], old_b[step], new[step] + masked = { + column_key(key) + for key in set(a) | set(b) + if a.get(key, CLOCK) != b.get(key, CLOCK) + } + masked_all |= masked + keys = set(a) | set(n) + diffs = [ + key + for key in sorted(keys) + if column_key(key) not in masked + and a.get(key, "") != n.get(key, "") + ] + tables = len( + {k.split("[")[0].split("#")[0] for k in a if k.startswith("table ")} + ) + status = "EQUAL" if not diffs else f"DIFFERENT ({len(diffs)} values)" + print( + f"{status}: {path} {json.dumps(data)}: {tables} tables, " + f"{a['files#count']} files, {len(keys)} values, " + f"{len(masked)} masked columns" + ) + for key in diffs[:20]: + old, now = a.get(key, ""), n.get(key, "") + print(f" {key}: old {old!r} new {now!r}") + failures += bool(diffs) + print("masked (differ between the two old runs):") + for key in sorted(masked_all): + print(f" {key}") + return 1 if failures else 0 + + +if __name__ == "__main__": + sys.exit(main()) diff --git a/tests/browser/server.py b/tests/browser/server.py index 707634de..95f32ce2 100644 --- a/tests/browser/server.py +++ b/tests/browser/server.py @@ -19,8 +19,10 @@ from aiohttp.web_runner import GracefulExit from PIL import Image from PIL.PngImagePlugin import PngInfo +from tests.browser.folder_trash import close_trash, replace_folder from tests.browser.request_hold import register_request_holds from tests.browser import slow_reset_watch +from tests.browser.fast_reset import SEED_ON_LIVE_ENV, ScratchSeeder from tests.browser.workspace_activity_fixture import register_activity_commands from tests.browser.workspace_system_fixture import register_system_commands from tests.browser.workspace_integrations_fixture import ( @@ -225,6 +227,10 @@ def create_app(root: Path) -> web.Application: register_integrations_commands(app, routes, api, root) request_holds = register_request_holds(app, routes) slow_reset_watch.install(app, api) + # Resets seed a scratch copy and publish it in one commit (#384). + seeder = ScratchSeeder( + api, root / "reset-scratch", on_live=os.environ.get(SEED_ON_LIVE_ENV) == "1" + ) async def canonical_asset(request: web.Request) -> web.Response: filename, content_type = CANONICAL_ASSETS[request.path] @@ -238,6 +244,7 @@ def create_app(root: Path) -> web.Application: routes.get(path)(canonical_asset) def seed( + target, extra_images: int = 0, include_video: bool = False, prompt_inspector: bool = False, @@ -245,7 +252,7 @@ def create_app(root: Path) -> web.Application: extra_prompts: int = 0, extra_variants: int = 0, ) -> None: - with api.db.model.get_connection() as conn: + with target.db.model.get_connection() as conn: for table in ( "saved_views", "image_favorites", @@ -264,8 +271,7 @@ def create_app(root: Path) -> web.Application: ): conn.execute(f"DELETE FROM {table}") for name in ("output", "input"): - shutil.rmtree(root / name) - (root / name).mkdir() + replace_folder(root / name) for index, (directory, text, tag) in enumerate( [ ("output", "Cat portrait", "cats"), @@ -308,28 +314,30 @@ def create_app(root: Path) -> web.Application: image.save(image_path, pnginfo=info) stamp = time.time() - index * 10 os.utime(image_path, (stamp, stamp)) - pid = api.db.save_prompt( + pid = target.db.save_prompt( text, tags=[tag], prompt_hash=generate_prompt_hash(text) ) - api.db.link_image_to_prompt(pid, str(image_path)) + target.db.link_image_to_prompt(pid, str(image_path)) if index == 0: video_prompt_id = pid for number in range(extra_images): extra = root / directory / "bulk" / f"{number:04}.png" extra.parent.mkdir(exist_ok=True) shutil.copyfile(image_path, extra) - api.db.link_image_to_prompt(pid, str(extra)) + target.db.link_image_to_prompt(pid, str(extra)) if native_library: - positive = api.db.get_prompt_by_hash(generate_prompt_hash("Cat portrait")) + positive = target.db.get_prompt_by_hash( + generate_prompt_hash("Cat portrait") + ) positive_id = positive["id"] - api.db.update_prompt_metadata( + target.db.update_prompt_metadata( positive_id, category="Animals", tags=["cats", "studio"] ) variants = [] for index, negative in enumerate( ["blurry, watermark", "low quality", "low contrast", ""] ): - pair_id = api.db.save_prompt_pair( + pair_id = target.db.save_prompt_pair( "Cat portrait", negative, title=f"Portrait variant {index + 1}", @@ -337,28 +345,30 @@ def create_app(root: Path) -> web.Application: tags=["studio"] if index == 0 else ["outdoors"], ) variants.append(pair_id) - with api.db.model.get_connection() as conn: + with target.db.model.get_connection() as conn: images = conn.execute( "SELECT id FROM generated_images WHERE prompt_id=? ORDER BY id", (positive_id,), ).fetchall() for index, image in enumerate(images[:2]): - api.db.link_image_to_pair( + target.db.link_image_to_pair( variants[index], image["id"], {"source": "fixture", "anchor": index} ) - api.db.link_image_to_pair( + target.db.link_image_to_pair( variants[0], images[0]["id"], {"source": "fixture second evidence"} ) - api.db.record_prompt_pair_use(variants[0], times=3) + target.db.record_prompt_pair_use(variants[0], times=3) for number in range(extra_variants): - api.db.save_prompt_pair("Cat portrait", f"Negative extra {number:04}") + target.db.save_prompt_pair( + "Cat portrait", f"Negative extra {number:04}" + ) legacy = root / "output" / "legacy-unassigned.png" shutil.copyfile(root / "output" / "shared" / "same.png", legacy) - api.db.link_image_to_prompt(positive_id, str(legacy)) - api.db.save_prompt("Dog landscape", category="Animals", tags=["dogs"]) - api.db.save_prompt_pair("Dual role portrait", "Cat portrait") + target.db.link_image_to_prompt(positive_id, str(legacy)) + target.db.save_prompt("Dog landscape", category="Animals", tags=["dogs"]) + target.db.save_prompt_pair("Dual role portrait", "Cat portrait") for number in range(extra_prompts): - api.db.save_prompt( + target.db.save_prompt( f"Library extra {number:04}", category="Bulk", tags=["bulk"] ) if prompt_inspector: @@ -379,8 +389,8 @@ def create_app(root: Path) -> web.Application: from py.api.thumbnail_settings import ThumbnailSettings # 150 px previews in the default format (#317 thumbnail settings). - api._generate_gallery_thumbnails_sync( - api._get_all_output_dirs(), ThumbnailSettings("webp", 80, 150) + target._generate_gallery_thumbnails_sync( + target._get_all_output_dirs(), ThumbnailSettings("webp", 80, 150) ) if include_video: # Seed after thumbnail generation to exercise a real unthumbnailed video. @@ -388,8 +398,8 @@ def create_app(root: Path) -> web.Application: shutil.copyfile( Path(__file__).resolve().parents[1] / "fixtures" / "tiny.webm", video ) - api.db.link_image_to_prompt(video_prompt_id, str(video)) - api.invalidate_gallery_cache() + target.db.link_image_to_prompt(video_prompt_id, str(video)) + target.invalidate_gallery_cache() history_fixture = None @@ -434,7 +444,10 @@ def create_app(root: Path) -> web.Application: raise web.HTTPBadRequest() if chronological_history: manifest = await api._run_in_executor( - lambda: seed_workspace_history(api, root, history_runs=history_runs) + seeder.run, + lambda target: seed_workspace_history( + target, root, history_runs=history_runs + ), ) history_fixture = manifest return web.json_response({"success": True, **manifest}) @@ -492,25 +505,31 @@ def create_app(root: Path) -> web.Application: raise web.HTTPBadRequest() if workspace_visual: history_fixture = None - await api._run_in_executor(seed_workspace_visual, api, root) + await api._run_in_executor( + seeder.run, lambda target: seed_workspace_visual(target, root) + ) return web.json_response({"success": True}) if full_inspector: history_fixture = None await api._run_in_executor( - lambda: seed_workspace_inspector( - api, root, extra_images=extra, include_video=include_video - ) + seeder.run, + lambda target: seed_workspace_inspector( + target, root, extra_images=extra, include_video=include_video + ), ) return web.json_response({"success": True}) history_fixture = None await api._run_in_executor( - seed, - extra, - include_video, - prompt_inspector, - native_library, - extra_prompts, - extra_variants, + seeder.run, + lambda target: seed( + target, + extra, + include_video, + prompt_inspector, + native_library, + extra_prompts, + extra_variants, + ), ) return web.json_response({"success": True}) @@ -550,14 +569,15 @@ def create_app(root: Path) -> web.Application: reveal_stub.reset() history_fixture = None manifest = await api._run_in_executor( - lambda: seed_workspace_concept( - api, + seeder.run, + lambda target: seed_workspace_concept( + target, root, extra_images=data.get("extra_images", 0), seedless_images=data.get("seedless_images", 0), short_seedless=data.get("short_seedless", False), now=data.get("now"), - ) + ), ) return web.json_response({"success": True, **manifest}) @@ -625,9 +645,12 @@ def create_app(root: Path) -> web.Application: async def cleanup(application: web.Application) -> None: # A scan of an ambiguous fixture file captures it for Needs review. api.close_annotation_captures() + seeder.close() api.db.close_all() + # Old media folders still waiting for deletion go before the temp root. + close_trash(root) - seed() + seed(api) # Open Needs review change streams end first, as on the real host. app.on_shutdown.append(api.close_review_events) app.on_cleanup.append(cleanup) diff --git a/tests/browser/workspace_concept_fixture.py b/tests/browser/workspace_concept_fixture.py index a5dd23e8..1c86dbbd 100644 --- a/tests/browser/workspace_concept_fixture.py +++ b/tests/browser/workspace_concept_fixture.py @@ -16,7 +16,6 @@ import json import math import os from pathlib import Path -import shutil import time from types import SimpleNamespace from typing import TYPE_CHECKING @@ -34,6 +33,7 @@ from utils.execution_contexts import ( from utils.execution_history_events import make_finish, make_start from utils.execution_outputs import OutputBundle, OutputReference, snapshot_output_roots from utils.pair_execution import EXECUTION_KEY +from tests.browser.folder_trash import replace_folder if TYPE_CHECKING: from py.api import PromptManagerAPI @@ -300,8 +300,7 @@ def _clear(api: PromptManagerAPI, root: Path) -> None: for table in _TABLES: conn.execute(f"DELETE FROM {table}") for name in ("output", "input"): - shutil.rmtree(root / name) - (root / name).mkdir() + replace_folder(root / name) def _record_run( diff --git a/tests/browser/workspace_library_editor_fixture.py b/tests/browser/workspace_library_editor_fixture.py index ab375c83..8c0aed9e 100644 --- a/tests/browser/workspace_library_editor_fixture.py +++ b/tests/browser/workspace_library_editor_fixture.py @@ -3,11 +3,11 @@ from __future__ import annotations from pathlib import Path -import shutil from typing import TYPE_CHECKING from aiohttp import web from PIL import Image +from tests.browser.folder_trash import replace_folder if TYPE_CHECKING: from py.api import PromptManagerAPI @@ -51,8 +51,7 @@ def seed_library_editor(api: PromptManagerAPI, root: Path) -> dict: for table in _TABLES: conn.execute(f"DELETE FROM {table}") for name in ("output", "input"): - shutil.rmtree(root / name) - (root / name).mkdir() + replace_folder(root / name) epoch = db.get_execution_epoch() receipt = db.create_library_recipe( EDITOR_POSITIVE, diff --git a/tests/browser/workspace_review_fixture.py b/tests/browser/workspace_review_fixture.py index 1023d1fc..45365dd7 100644 --- a/tests/browser/workspace_review_fixture.py +++ b/tests/browser/workspace_review_fixture.py @@ -52,6 +52,7 @@ from typing import TYPE_CHECKING from aiohttp import web from PIL import Image from PIL.PngImagePlugin import PngInfo +from tests.browser.folder_trash import replace_folder if TYPE_CHECKING: from py.api import PromptManagerAPI @@ -225,8 +226,7 @@ def seed_review( conn.execute(f"DELETE FROM {table}") api.close_annotation_captures() for name in ("output", "input"): - shutil.rmtree(root / name) - (root / name).mkdir() + replace_folder(root / name) shutil.rmtree(root / "temp" / "review", ignore_errors=True) output = root / "output" files = [] diff --git a/tests/browser/workspace_tagging_fixture.py b/tests/browser/workspace_tagging_fixture.py index 843e2684..01667ee8 100644 --- a/tests/browser/workspace_tagging_fixture.py +++ b/tests/browser/workspace_tagging_fixture.py @@ -19,6 +19,7 @@ from typing import TYPE_CHECKING from aiohttp import web from PIL import Image from PIL.PngImagePlugin import PngInfo +from tests.browser.folder_trash import replace_folder if TYPE_CHECKING: from py.api import PromptManagerAPI @@ -98,8 +99,7 @@ def seed_tagging(api: PromptManagerAPI, root: Path, extra_images: int = 0) -> di for table in _TABLES: conn.execute(f"DELETE FROM {table}") for name in ("output", "input"): - shutil.rmtree(root / name) - (root / name).mkdir() + replace_folder(root / name) output = root / "output" _png(output / FILES[0][0], (196, 140, 92)) _png(output / FILES[1][0], (150, 110, 80)) diff --git a/tests/browser/workspace_visual_fixture.py b/tests/browser/workspace_visual_fixture.py index edb8dc01..f10cf457 100644 --- a/tests/browser/workspace_visual_fixture.py +++ b/tests/browser/workspace_visual_fixture.py @@ -5,13 +5,13 @@ from __future__ import annotations import json import os from pathlib import Path -import shutil from typing import TYPE_CHECKING from PIL import Image, ImageDraw from PIL.PngImagePlugin import PngInfo from utils.hashing import generate_prompt_hash +from tests.browser.folder_trash import replace_folder if TYPE_CHECKING: from py.api import PromptManagerAPI @@ -129,8 +129,7 @@ def seed_workspace_visual(api: PromptManagerAPI, root: Path) -> None: ): conn.execute(f"DELETE FROM {table}") for name in ("output", "input"): - shutil.rmtree(root / name) - (root / name).mkdir() + replace_folder(root / name) for parent_index, (positive, negatives) in enumerate(zip(_POSITIVES, _NEGATIVES)): category = ("Architecture", "Landscape", "Abstract")[parent_index % 3] tags = ["geometric", ("warm", "cool")[parent_index % 2]] diff --git a/tests/browser/workspace_vocabulary_fixture.py b/tests/browser/workspace_vocabulary_fixture.py index 10c5a8c7..17901872 100644 --- a/tests/browser/workspace_vocabulary_fixture.py +++ b/tests/browser/workspace_vocabulary_fixture.py @@ -7,10 +7,10 @@ in concept order, so tag creation order and category first use match the mock. from __future__ import annotations from pathlib import Path -import shutil from typing import TYPE_CHECKING from aiohttp import web +from tests.browser.folder_trash import replace_folder if TYPE_CHECKING: from py.api import PromptManagerAPI @@ -120,8 +120,7 @@ def seed_vocabulary( for table in _TABLES: conn.execute(f"DELETE FROM {table}") for name in ("output", "input"): - shutil.rmtree(root / name) - (root / name).mkdir() + replace_folder(root / name) epoch = db.get_execution_epoch() recipes = [] for recipe in CONCEPT_RECIPES: diff --git a/tests/fixtures/local-inspect/legacy-agreement.json b/tests/fixtures/local-inspect/legacy-agreement.json new file mode 100644 index 00000000..2bb30deb --- /dev/null +++ b/tests/fixtures/local-inspect/legacy-agreement.json @@ -0,0 +1,107 @@ +{ + "generation_params": [ + "case:basic", + "case:shared-prompt-pipeline", + "tests/fixtures/inspection_parity/f02.png", + "tests/fixtures/inspection_parity/f03.png", + "tests/fixtures/inspection_parity/f06c.png", + "tests/fixtures/inspection_parity/f06e.png", + "tests/fixtures/inspection_parity/f07a.png", + "tests/fixtures/inspection_parity/f07b.png", + "tests/fixtures/inspection_parity/f08.png", + "tests/fixtures/inspection_parity/f09.png", + "tests/fixtures/inspection_parity/f10.png", + "tests/fixtures/inspection_parity/f11.png", + "tests/fixtures/inspection_parity/f15.png", + "tests/fixtures/inspection_parity/f16.png", + "tests/fixtures/inspection_parity/f23.png" + ], + "inspection_parity": [ + "f02", + "f03", + "f06c", + "f06e", + "f07a", + "f07b", + "f08", + "f09", + "f10", + "f11", + "f14", + "f15", + "f16", + "f23" + ], + "local_resolver": [ + "anchor-first-stage-no-latent", + "anchor-same-links", + "anchor-same-links-unanchored", + "built-chars", + "class-type-missing", + "class-type-number", + "combine-equal", + "controlnet-slot1", + "custom-cfg", + "duplicate-key", + "encode", + "int-id", + "latent-encode", + "overwritten-bad-workflow", + "pair-execution", + "pair-execution-bad-json", + "pair-execution-mismatch", + "pair-execution-negative-changed", + "pair-execution-other-node", + "pair-execution-truncated", + "pair-execution-two-records", + "pair-execution-version-float", + "pair-execution-version-true", + "pair-graph", + "pass-through-unknown-role-inputs", + "passthrough", + "prompt-and-parameters", + "prompt-manager", + "select-detailer-chain-same", + "select-detailer-no-sampler-upstream", + "select-detailer-output-walk-exhausted", + "select-detailer-same-prompt", + "select-edge-hires-fix-denoised-slot", + "select-edge-hires-fix-lineage-cycle", + "select-edge-hires-fix-two-refiners", + "select-flux-concat", + "select-flux-reroute-input", + "select-flux-three-stage", + "select-hires-fix", + "select-hires-fix-both-saved", + "select-hires-fix-reroute", + "select-hires-fix-unlisted", + "select-multistage-latent", + "select-preview-dropped", + "select-preview-through-bad-node", + "select-runtime-flux-other-full-prompt", + "select-runtime-flux-trigger", + "select-runtime-search-list-append", + "select-runtime-through-chained", + "select-runtime-through-concat", + "select-runtime-through-text-encode", + "select-runtime-traced-prepend", + "select-runtime-trigger-append-single", + "select-runtime-trigger-pair", + "select-runtime-trigger-prepend", + "select-three-identical-one-advanced", + "select-two-identical", + "select-unconsumed-stage-kept", + "several-samplers", + "smz-false", + "text-at-limit", + "unknown-encoder", + "workflow-type-dict", + "workflow-type-in-subgraph", + "workflow-type-list", + "workflow-type-without-id", + "zeroed" + ], + "unknown_nodes": [ + "unknown-role-inputs" + ] +} diff --git a/tests/fixtures/local-inspect/resolver-vectors.json b/tests/fixtures/local-inspect/resolver-vectors.json index 7edcb926..891275c5 100644 --- a/tests/fixtures/local-inspect/resolver-vectors.json +++ b/tests/fixtures/local-inspect/resolver-vectors.json @@ -1 +1 @@ -{"vectors": [{"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "encode", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": "3", "state": "unresolved"}}, "name": "empty-positive", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \" …\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": ""}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "feff-positive", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "Expected a typed graph link or text input", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "no-negative", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": null, \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "absent", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "Negative input is absent", "reason_code": null, "sampler_id": "3", "state": "absent"}}, "name": "negative-missing-input", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Expected a typed graph link or text input", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "float-slot", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0.0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Expected a typed graph link or text input", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "bool-slot", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", true], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "int-id", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [6, 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Missing or malformed graph node", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "dangling", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"60\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (CLIPTextEncode).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support (CLIPTextEncode).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "CLIPTextEncode", "id": "6"}, "reason": "Unsupported node semantics or output slot", "reason_code": "unsupported-node", "sampler_id": "3", "state": "unresolved"}}, "name": "wrong-slot", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 3], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Cyclic prompt graph", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "cycle", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"8\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Reroute input is not uniquely identifiable", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "reroute-ambiguous", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"6\", 0], \"in\": [\"6\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "last wins"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "duplicate-key", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"last wins\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "nan-input", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": NaN, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": null, "id": "6"}, "reason": "Unsupported node semantics or output slot", "reason_code": "unsupported-node", "sampler_id": "3", "state": "unresolved"}}, "name": "class-type-number", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": 1.5, \"inputs\": {\"text\": \"x\"}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": null, "id": "6"}, "reason": "Unsupported node semantics or output slot", "reason_code": "unsupported-node", "sampler_id": "3", "state": "unresolved"}}, "name": "class-type-missing", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"inputs\": {\"text\": \"x\"}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Missing or malformed graph node", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "inputs-list", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": [\"x\"]}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "API graph is missing or malformed", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "prompt-list", "records": {"prompt": "[1, 2]"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "API graph is missing or malformed", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "prompt-empty", "records": {"prompt": "{}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Prompt evidence is malformed", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "prompt-bom", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Prompt evidence is malformed", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "huge-int", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 99999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Prompt evidence is malformed", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "only-execution", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"8\": {\"records\": [{\"text\": \"fox\", \"negative_text\": \"blur\", \"positive_text\": \"fox executed\", \"negative_effective_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "No supported sampler was found.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "No supported sampler was found.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "No supported sampler pair found (saw XSampler, YGuider)", "reason_code": "no-sampler", "sampler_id": null, "state": "unresolved"}}, "name": "no-sampler", "records": {"prompt": "{\"1\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"x\", \"clip\": [\"4\", 1]}}, \"2\": {\"class_type\": \"XSampler\", \"inputs\": {\"positive\": [\"1\", 0]}}, \"9\": {\"class_type\": \"YGuider\", \"inputs\": {\"guider\": [\"1\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "No supported sampler was found.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "No supported sampler was found.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "No supported sampler pair found", "reason_code": "no-sampler", "sampler_id": null, "state": "unresolved"}}, "name": "no-sampler-plain", "records": {"prompt": "{\"1\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"x\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "sdxl-equal", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"a\", \"text_l\": \"a\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "sdxl-one", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"a\", \"text_l\": \"\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (CLIPTextEncodeSDXL).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (CLIPTextEncodeSDXL).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "CLIPTextEncodeSDXL", "id": "8"}, "reason": "Encoder parts have different texts", "reason_code": "composite", "sampler_id": "3", "state": "unresolved"}}, "name": "sdxl-differ", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"a\", \"text_l\": \"b\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "t"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "smz-false", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"smZ CLIPTextEncode\", \"inputs\": {\"text\": \"t\", \"text_g\": \"g\", \"text_l\": \"g\", \"with_SDXL\": false}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (smZ CLIPTextEncode).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt is chosen at run time (smZ CLIPTextEncode).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "smZ CLIPTextEncode", "id": "8"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "3", "state": "unresolved"}}, "name": "smz-true", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"smZ CLIPTextEncode\", \"inputs\": {\"text\": \"t\", \"text_g\": \"g\", \"text_l\": \"g\", \"with_SDXL\": true}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Malformed string node setting", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "smz-1", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"smZ CLIPTextEncode\", \"inputs\": {\"text\": \"t\", \"text_g\": \"g\", \"text_l\": \"g\", \"with_SDXL\": 1}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (smZ CLIPTextEncode).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support (smZ CLIPTextEncode).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "smZ CLIPTextEncode", "id": "8"}, "reason": "Linked string node setting", "reason_code": "unsupported-node", "sampler_id": "3", "state": "unresolved"}}, "name": "smz-[\"9\", 0]", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"smZ CLIPTextEncode\", \"inputs\": {\"text\": \"t\", \"text_g\": \"g\", \"text_l\": \"g\", \"with_SDXL\": [\"9\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "zeroed-conditioning", "status": "resolved", "text": ""}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "zeroed", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"8\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"6\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "passthrough", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"6\", 0], \"guidance\": 3.5}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "controlnet-slot1", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"8\", 1], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"ControlNetApplyAdvanced\", \"inputs\": {\"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "combine-equal", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"9\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"6\", 0], \"conditioning_2\": [\"9\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "ConditioningCombine", "id": "8"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "3", "state": "unresolved"}}, "name": "combine-differ", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"6\", 0], \"conditioning_2\": [\"7\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "neg"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "select-true", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"10\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": true, \"on_true\": [\"6\", 0], \"on_false\": [\"7\", 0]}}, \"10\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"neg\", \"clip\": [\"4\", 1]}}, \"9\": {\"class_type\": \"PrimitiveBoolean\", \"inputs\": {\"value\": true}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "neg"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "select-false", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"10\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": false, \"on_true\": [\"6\", 0], \"on_false\": [\"7\", 0]}}, \"10\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"neg\", \"clip\": [\"4\", 1]}}, \"9\": {\"class_type\": \"PrimitiveBoolean\", \"inputs\": {\"value\": true}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Selector branches have different prompts", "reason_code": null, "sampler_id": "3", "state": "ambiguous"}}, "name": "select-[\"9\", 0]", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"10\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"9\", 0], \"on_true\": [\"6\", 0], \"on_false\": [\"7\", 0]}}, \"10\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"neg\", \"clip\": [\"4\", 1]}}, \"9\": {\"class_type\": \"PrimitiveBoolean\", \"inputs\": {\"value\": true}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Malformed selector condition", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "select-1", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"10\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": 1, \"on_true\": [\"6\", 0], \"on_false\": [\"7\", 0]}}, \"10\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"neg\", \"clip\": [\"4\", 1]}}, \"9\": {\"class_type\": \"PrimitiveBoolean\", \"inputs\": {\"value\": true}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Malformed selector condition", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "select-\"true\"", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"10\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": \"true\", \"on_true\": [\"6\", 0], \"on_false\": [\"7\", 0]}}, \"10\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"neg\", \"clip\": [\"4\", 1]}}, \"9\": {\"class_type\": \"PrimitiveBoolean\", \"inputs\": {\"value\": true}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "select-converge", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"9\", 0], \"on_true\": [\"6\", 0], \"on_false\": [\"11\", 0]}}, \"11\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Selector branches have different prompts", "reason_code": null, "sampler_id": "3", "state": "ambiguous"}}, "name": "select-shared", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"12\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"9\", 0], \"on_true\": [\"6\", 0], \"on_false\": [\"7\", 0]}}, \"12\": {\"class_type\": \"Switch conditioning [Crystools]\", \"inputs\": {\"boolean\": [\"9\", 0], \"on_true\": [\"7\", 0], \"on_false\": [\"6\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (PromptSearchList).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt is chosen at run time (PromptSearchList).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "PromptSearchList", "id": "8"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "3", "state": "unresolved"}}, "name": "runtime", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptSearchList\", \"inputs\": {}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (FancyEncoderxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support (FancyEncoderxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "FancyEncoderxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx", "id": "8"}, "reason": "Unsupported node semantics or output slot", "reason_code": "unsupported-node", "sampler_id": "3", "state": "unresolved"}}, "name": "unknown-encoder", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"FancyEncoderxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx\", \"inputs\": {\"text\": \"x\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": " multi\nline "}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "primitive", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"8\", 0], \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": \" multi\\nline \"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Output slot has an incompatible type", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "string-kind-mismatch", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"x\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": " a , "}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "string-concatenate", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"8\", 0], \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \" a \", \"string_b\": \"\", \"delimiter\": \", \"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a b"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "text-concatenate-\"true\"", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"8\", 0], \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_b\": \" b \", \"text_a\": \" a\", \"text_aa\": \"x\", \"text_c\": \"\", \"clean_whitespace\": \"true\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": " a b "}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "text-concatenate-\"False\"", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"8\", 0], \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_b\": \" b \", \"text_a\": \" a\", \"text_aa\": \"x\", \"text_c\": \"\", \"clean_whitespace\": \"False\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a b"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "text-concatenate-true", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"8\", 0], \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_b\": \" b \", \"text_a\": \" a\", \"text_aa\": \"x\", \"text_c\": \"\", \"clean_whitespace\": true}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a b"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "text-concatenate-\"TRUE\"", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"8\", 0], \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_b\": \" b \", \"text_a\": \" a\", \"text_aa\": \"x\", \"text_c\": \"\", \"clean_whitespace\": \"TRUE\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": " a b "}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "text-concatenate-0", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"8\", 0], \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_b\": \" b \", \"text_a\": \" a\", \"text_aa\": \"x\", \"text_c\": \"\", \"clean_whitespace\": 0}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "ab"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "strip-newlines-true", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"8\", 0], \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\n a\\nb \\n\", \"strip_newlines\": true}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "\n a\nb \n"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "strip-newlines-false", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"8\", 0], \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\n a\\nb \\n\", \"strip_newlines\": false}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Malformed string node setting", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "strip-newlines-1", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"8\", 0], \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\n a\\nb \\n\", \"strip_newlines\": 1}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": " | b"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "join-multi-3-false", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"8\", 0], \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"\", \"string_2\": \"b\", \"string_3\": \"\", \"string_4\": \"d\", \"inputcount\": 3, \"delimiter\": \" | \", \"return_list\": false}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": "3", "state": "unresolved"}}, "name": "join-multi-1-false", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"8\", 0], \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"\", \"string_2\": \"b\", \"string_3\": \"\", \"string_4\": \"d\", \"inputcount\": 1, \"delimiter\": \" | \", \"return_list\": false}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Malformed string node setting", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "join-multi-0-false", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"8\", 0], \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"\", \"string_2\": \"b\", \"string_3\": \"\", \"string_4\": \"d\", \"inputcount\": 0, \"delimiter\": \" | \", \"return_list\": false}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Malformed string node setting", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "join-multi-1001-false", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"8\", 0], \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"\", \"string_2\": \"b\", \"string_3\": \"\", \"string_4\": \"d\", \"inputcount\": 1001, \"delimiter\": \" | \", \"return_list\": false}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (JoinStringMulti).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt is chosen at run time (JoinStringMulti).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "JoinStringMulti", "id": "8"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "3", "state": "unresolved"}}, "name": "join-multi-2-true", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"8\", 0], \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"\", \"string_2\": \"b\", \"string_3\": \"\", \"string_4\": \"d\", \"inputcount\": 2, \"delimiter\": \" | \", \"return_list\": true}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Malformed string node setting", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "join-multi-2.0-false", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"8\", 0], \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"\", \"string_2\": \"b\", \"string_3\": \"\", \"string_4\": \"d\", \"inputcount\": 2.0, \"delimiter\": \" | \", \"return_list\": false}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Malformed string node setting", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "join-multi-true-false", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"8\", 0], \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"\", \"string_2\": \"b\", \"string_3\": \"\", \"string_4\": \"d\", \"inputcount\": true, \"delimiter\": \" | \", \"return_list\": false}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "before main"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "prompt-manager", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"main\", \"prepend_text\": \" before \", \"append_text\": \"\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Expected a typed graph link or text input", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "prompt-manager-null-prepend", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"main\", \"prepend_text\": null, \"append_text\": \"\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "lead,main"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "historical-PromptManagerV2-0", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": \" main \", \"negative_text\": \" neg \", \"prepend_text\": \"lead,\", \"append_text\": null}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "neg"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "historical-PromptManagerV2-1", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 1], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": \" main \", \"negative_text\": \" neg \", \"prepend_text\": \"lead,\", \"append_text\": null}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "lead,main"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "historical-PromptManagerPositive-0", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \" main \", \"negative_text\": \" neg \", \"prepend_text\": \"lead,\", \"append_text\": null}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "main"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "historical-PromptManagerNegative-0", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManagerNegative\", \"inputs\": {\"text\": \" main \", \"negative_text\": \" neg \", \"prepend_text\": \"lead,\", \"append_text\": null}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blur"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "pair-graph", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"8\", 1], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"fox\", \"negative_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "execution", "status": "resolved", "text": "blur"}, "positive": {"source": "execution", "status": "resolved", "text": "fox executed"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "pair-execution", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"8\": {\"records\": [{\"text\": \"fox\", \"negative_text\": \"blur\", \"positive_text\": \"fox executed\", \"negative_effective_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"8\", 1], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"fox\", \"negative_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blur"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "pair-execution-other-node", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"99\": {\"records\": [{\"text\": \"fox\", \"negative_text\": \"blur\", \"positive_text\": \"fox executed\", \"negative_effective_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"8\", 1], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"fox\", \"negative_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Execution evidence does not match recorded node inputs", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "pair-execution-mismatch", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"8\": {\"records\": [{\"text\": \"other\", \"negative_text\": \"blur\", \"positive_text\": \"fox executed\", \"negative_effective_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"8\", 1], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"fox\", \"negative_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Negative execution text must be unchanged", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "pair-execution-negative-changed", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"8\": {\"records\": [{\"text\": \"fox\", \"negative_text\": \"blur\", \"positive_text\": \"fox executed\", \"negative_effective_text\": \"x\", \"prepend_text\": \"\", \"append_text\": \"\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"8\", 1], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"fox\", \"negative_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "execution", "status": "resolved", "text": "blur"}, "positive": {"source": "execution", "status": "resolved", "text": "fox executed"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "pair-execution-version-true", "records": {"comfyassets_prompt_pairs": "{\"version\": true, \"nodes\": {\"8\": {\"records\": [{\"text\": \"fox\", \"negative_text\": \"blur\", \"positive_text\": \"fox executed\", \"negative_effective_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"8\", 1], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"fox\", \"negative_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "execution", "status": "resolved", "text": "blur"}, "positive": {"source": "execution", "status": "resolved", "text": "fox executed"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "pair-execution-version-float", "records": {"comfyassets_prompt_pairs": "{\"version\": 1.0, \"nodes\": {\"8\": {\"records\": [{\"text\": \"fox\", \"negative_text\": \"blur\", \"positive_text\": \"fox executed\", \"negative_effective_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"8\", 1], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"fox\", \"negative_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "execution", "status": "resolved", "text": "blur"}, "positive": {"source": "execution", "status": "resolved", "text": "fox executed"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "pair-execution-truncated", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"truncated\": [], \"nodes\": {\"8\": {\"records\": [{\"text\": \"fox\", \"negative_text\": \"blur\", \"positive_text\": \"fox executed\", \"negative_effective_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"8\", 1], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"fox\", \"negative_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Malformed execution evidence JSON", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "pair-execution-bad-json", "records": {"comfyassets_prompt_pairs": "{nope", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"8\", 1], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"fox\", \"negative_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Multiple distinct executions have no image anchor", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "pair-execution-two-records", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"8\": {\"records\": [{\"text\": \"fox\", \"negative_text\": \"blur\", \"positive_text\": \"fox executed\", \"negative_effective_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}, {\"text\": \"fox\", \"negative_text\": \"blur\", \"positive_text\": \"other\", \"negative_effective_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"8\", 1], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"fox\", \"negative_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "execution", "status": "resolved", "text": "blur"}, "positive": {"source": "execution", "status": "resolved", "text": "fox executed"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "pair-execution-runtime-input", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"8\": {\"records\": [{\"text\": \"fox\", \"negative_text\": \"blur\", \"positive_text\": \"fox executed\", \"negative_effective_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"8\", 1], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": [\"9\", 0], \"negative_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}}, \"9\": {\"class_type\": \"PromptSearchList\", \"inputs\": {}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (PromptManagerText).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support (PromptManagerText).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "PromptManagerText", "id": "9"}, "reason": "Unsupported node semantics or output slot", "reason_code": "unsupported-node", "sampler_id": "3", "state": "unresolved"}}, "name": "pair-execution-runtime-wrong-slot", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"8\": {\"records\": [{\"text\": \"fox\", \"negative_text\": \"blur\", \"positive_text\": \"fox executed\", \"negative_effective_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"8\", 1], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": [\"9\", 2], \"negative_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}}, \"9\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"x\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "custom-cfg", "records": {"prompt": "{\"3\": {\"class_type\": \"SamplerCustomAdvanced\", \"inputs\": {\"noise\": [\"20\", 0], \"guider\": [\"21\", 0], \"sampler\": [\"22\", 0], \"sigmas\": [\"23\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"21\": {\"class_type\": \"CFGGuider\", \"inputs\": {\"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"model\": [\"4\", 0], \"cfg\": 5}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "absent", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "Guider has no negative input", "reason_code": null, "sampler_id": "3", "state": "absent"}}, "name": "custom-basic", "records": {"prompt": "{\"3\": {\"class_type\": \"SamplerCustomAdvanced\", \"inputs\": {\"noise\": [\"20\", 0], \"guider\": [\"21\", 0], \"sampler\": [\"22\", 0], \"sigmas\": [\"23\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"21\": {\"class_type\": \"BasicGuider\", \"inputs\": {\"conditioning\": [\"6\", 0], \"model\": [\"4\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "absent", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "Guider has no negative input", "reason_code": null, "sampler_id": "3", "state": "absent"}}, "name": "custom-reroute-guider", "records": {"prompt": "{\"3\": {\"class_type\": \"SamplerCustomAdvanced\", \"inputs\": {\"noise\": [\"20\", 0], \"guider\": [\"21\", 0], \"sampler\": [\"22\", 0], \"sigmas\": [\"23\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"21\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"24\", 0]}}, \"24\": {\"class_type\": \"BasicGuider\", \"inputs\": {\"conditioning\": [\"6\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (DualCFGGuider).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support (DualCFGGuider).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "DualCFGGuider", "id": "21"}, "reason": "Unsupported guider", "reason_code": "unsupported-node", "sampler_id": "3", "state": "unresolved"}}, "name": "custom-unknown-guider", "records": {"prompt": "{\"3\": {\"class_type\": \"SamplerCustomAdvanced\", \"inputs\": {\"noise\": [\"20\", 0], \"guider\": [\"21\", 0], \"sampler\": [\"22\", 0], \"sigmas\": [\"23\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"21\": {\"class_type\": \"DualCFGGuider\", \"inputs\": {\"cond1\": [\"6\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (KSamplerPreview).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support (KSamplerPreview).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "KSamplerPreview", "id": "30"}, "reason": "Unsupported latent ancestry", "reason_code": "unsupported-node", "sampler_id": "3", "state": "unresolved"}}, "name": "latent-stage", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"LatentUpscale\", \"inputs\": {\"samples\": [\"30\", 0]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"30\": {\"class_type\": \"KSamplerPreview\", \"inputs\": {\"model\": [\"4\", 0], \"positive\": [\"6\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "latent-encode", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"31\", 0], \"vae\": [\"4\", 2]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"31\": {\"class_type\": \"LoadImage\", \"inputs\": {\"image\": \"x.png\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Cyclic latent ancestry", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "latent-cycle", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"LatentUpscale\", \"inputs\": {\"samples\": [\"3\", 0]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "override-ignored-\"\"", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0], \"wildcard\": \"\"}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "override-ignored-\"wild\"", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0], \"wildcard\": \"wild\"}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "override-ignored-[\"6\", 0]", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0], \"wildcard\": [\"6\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt exceeds inspection limits.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt exceeds inspection limits.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Resolution depth limit reached", "reason_code": "depth-limit", "sampler_id": "3", "state": "unresolved"}}, "name": "depth-limit", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"r69\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"deep\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"r0\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"6\", 0]}}, \"r1\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r0\", 0]}}, \"r2\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r1\", 0]}}, \"r3\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r2\", 0]}}, \"r4\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r3\", 0]}}, \"r5\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r4\", 0]}}, \"r6\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r5\", 0]}}, \"r7\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r6\", 0]}}, \"r8\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r7\", 0]}}, \"r9\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r8\", 0]}}, \"r10\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r9\", 0]}}, \"r11\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r10\", 0]}}, \"r12\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r11\", 0]}}, \"r13\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r12\", 0]}}, \"r14\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r13\", 0]}}, \"r15\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r14\", 0]}}, \"r16\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r15\", 0]}}, \"r17\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r16\", 0]}}, \"r18\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r17\", 0]}}, \"r19\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r18\", 0]}}, \"r20\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r19\", 0]}}, \"r21\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r20\", 0]}}, \"r22\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r21\", 0]}}, \"r23\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r22\", 0]}}, \"r24\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r23\", 0]}}, \"r25\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r24\", 0]}}, \"r26\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r25\", 0]}}, \"r27\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r26\", 0]}}, \"r28\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r27\", 0]}}, \"r29\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r28\", 0]}}, \"r30\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r29\", 0]}}, \"r31\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r30\", 0]}}, \"r32\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r31\", 0]}}, \"r33\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r32\", 0]}}, \"r34\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r33\", 0]}}, \"r35\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r34\", 0]}}, \"r36\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r35\", 0]}}, \"r37\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r36\", 0]}}, \"r38\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r37\", 0]}}, \"r39\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r38\", 0]}}, \"r40\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r39\", 0]}}, \"r41\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r40\", 0]}}, \"r42\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r41\", 0]}}, \"r43\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r42\", 0]}}, \"r44\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r43\", 0]}}, \"r45\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r44\", 0]}}, \"r46\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r45\", 0]}}, \"r47\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r46\", 0]}}, \"r48\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r47\", 0]}}, \"r49\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r48\", 0]}}, \"r50\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r49\", 0]}}, \"r51\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r50\", 0]}}, \"r52\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r51\", 0]}}, \"r53\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r52\", 0]}}, \"r54\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r53\", 0]}}, \"r55\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r54\", 0]}}, \"r56\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r55\", 0]}}, \"r57\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r56\", 0]}}, \"r58\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r57\", 0]}}, \"r59\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r58\", 0]}}, \"r60\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r59\", 0]}}, \"r61\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r60\", 0]}}, \"r62\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r61\", 0]}}, \"r63\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r62\", 0]}}, \"r64\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r63\", 0]}}, \"r65\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r64\", 0]}}, \"r66\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r65\", 0]}}, \"r67\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r66\", 0]}}, \"r68\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r67\", 0]}}, \"r69\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r68\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "deep"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "depth-near", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"r60\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"deep\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"r0\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"6\", 0]}}, \"r1\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r0\", 0]}}, \"r2\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r1\", 0]}}, \"r3\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r2\", 0]}}, \"r4\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r3\", 0]}}, \"r5\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r4\", 0]}}, \"r6\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r5\", 0]}}, \"r7\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r6\", 0]}}, \"r8\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r7\", 0]}}, \"r9\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r8\", 0]}}, \"r10\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r9\", 0]}}, \"r11\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r10\", 0]}}, \"r12\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r11\", 0]}}, \"r13\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r12\", 0]}}, \"r14\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r13\", 0]}}, \"r15\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r14\", 0]}}, \"r16\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r15\", 0]}}, \"r17\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r16\", 0]}}, \"r18\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r17\", 0]}}, \"r19\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r18\", 0]}}, \"r20\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r19\", 0]}}, \"r21\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r20\", 0]}}, \"r22\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r21\", 0]}}, \"r23\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r22\", 0]}}, \"r24\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r23\", 0]}}, \"r25\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r24\", 0]}}, \"r26\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r25\", 0]}}, \"r27\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r26\", 0]}}, \"r28\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r27\", 0]}}, \"r29\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r28\", 0]}}, \"r30\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r29\", 0]}}, \"r31\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r30\", 0]}}, \"r32\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r31\", 0]}}, \"r33\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r32\", 0]}}, \"r34\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r33\", 0]}}, \"r35\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r34\", 0]}}, \"r36\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r35\", 0]}}, \"r37\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r36\", 0]}}, \"r38\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r37\", 0]}}, \"r39\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r38\", 0]}}, \"r40\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r39\", 0]}}, \"r41\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r40\", 0]}}, \"r42\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r41\", 0]}}, \"r43\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r42\", 0]}}, \"r44\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r43\", 0]}}, \"r45\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r44\", 0]}}, \"r46\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r45\", 0]}}, \"r47\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r46\", 0]}}, \"r48\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r47\", 0]}}, \"r49\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r48\", 0]}}, \"r50\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r49\", 0]}}, \"r51\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r50\", 0]}}, \"r52\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r51\", 0]}}, \"r53\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r52\", 0]}}, \"r54\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r53\", 0]}}, \"r55\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r54\", 0]}}, \"r56\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r55\", 0]}}, \"r57\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r56\", 0]}}, \"r58\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r57\", 0]}}, \"r59\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r58\", 0]}}, \"r60\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r59\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Saved PromptManager text was overwritten by another node", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "overwritten", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"shared\", \"clip\": [\"4\", 1], \"search_text\": \"\"}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"shared\", \"clip\": [\"4\", 1]}}}", "workflow": "{\"nodes\": [{\"id\": 6, \"type\": \"PromptManager\", \"widgets_values\": [\"own text\"]}, {\"id\": 7, \"type\": \"PromptManager\", \"widgets_values\": [\"other text\"]}]}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Saved PromptManager text was overwritten by another node", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "overwritten-subgraph", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"1:6\", 0], \"negative\": [\"1:7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"1:6\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"same\", \"clip\": [\"4\", 1]}}, \"1:7\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"same\"}}}", "workflow": "{\"nodes\": [{\"id\": 1, \"type\": \"sub-a\", \"widgets_values\": []}], \"definitions\": {\"subgraphs\": [{\"id\": \"sub-a\", \"nodes\": [{\"id\": 6, \"type\": \"PromptManagerFocused\", \"widgets_values\": {\"text\": \"a\"}}, {\"id\": 7, \"type\": \"PromptManagerFocused\", \"widgets_values\": [\"b\"]}]}]}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "shared"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "shared"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "overwritten-bad-workflow", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"shared\", \"clip\": [\"4\", 1], \"search_text\": \"\"}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"shared\", \"clip\": [\"4\", 1]}}}", "workflow": "{bad"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "shared"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "shared"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "workflow-type-list", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"shared\", \"clip\": [\"4\", 1], \"search_text\": \"\"}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"shared\", \"clip\": [\"4\", 1]}}}", "workflow": "{\"nodes\": [{\"id\": 6, \"type\": \"PromptManager\"}, {\"id\": 8, \"type\": [\"PromptManager\"]}]}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "shared"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "shared"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "workflow-type-dict", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"shared\", \"clip\": [\"4\", 1], \"search_text\": \"\"}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"shared\", \"clip\": [\"4\", 1]}}}", "workflow": "{\"nodes\": [{\"id\": 6, \"type\": \"PromptManager\"}, {\"id\": 8, \"type\": {\"a\": 1}}]}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "same"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "same"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "workflow-type-in-subgraph", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"1:6\", 0], \"negative\": [\"1:7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"1:6\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"same\", \"clip\": [\"4\", 1]}}, \"1:7\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"same\"}}}", "workflow": "{\"nodes\": [{\"id\": 1, \"type\": \"sub-a\", \"widgets_values\": []}], \"definitions\": {\"subgraphs\": [{\"id\": \"sub-a\", \"nodes\": [{\"id\": 2, \"type\": [1]}]}]}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Saved PromptManager text was overwritten by another node", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "workflow-type-skipped-keeps-overwritten", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"shared\", \"clip\": [\"4\", 1], \"search_text\": \"\"}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"shared\", \"clip\": [\"4\", 1]}}}", "workflow": "{\"nodes\": [{\"id\": 6, \"type\": \"PromptManager\", \"widgets_values\": [\"own text\"]}, {\"id\": 8, \"type\": [\"PromptManager\"]}, {\"id\": 7, \"type\": \"PromptManager\", \"widgets_values\": [\"other text\"]}]}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "shared"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "shared"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "workflow-type-without-id", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"shared\", \"clip\": [\"4\", 1], \"search_text\": \"\"}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"shared\", \"clip\": [\"4\", 1]}}}", "workflow": "{\"nodes\": [{\"id\": true, \"type\": [\"x\"]}, \"skipped\"]}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "Every sampler branch uses the same prompt pair", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "several-samplers", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "detailer", "records": {"prompt": "{\"3\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"5\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"wildcard\": \"\"}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "embedded-parameters", "status": "resolved", "text": "blur"}, "positive": {"source": "embedded-parameters", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "parameters-only", "records": {"parameters": "a fox\nNegative prompt: blur\nSteps: 20, Sampler: euler"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "prompt-and-parameters", "records": {"parameters": "ignored", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "Every sampler branch uses the same prompt pair", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "select-two-identical", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-two-differ", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-two-negative-differs", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"8\", 0], \"latent_image\": [\"5\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-identical-without-negative", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"latent_image\": [\"5\", 0]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"latent_image\": [\"5\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-one-unresolved", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"missing\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-both-unresolved", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"x\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"y\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "Every sampler branch uses the same prompt pair", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "select-three-identical-one-advanced", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"10\": {\"class_type\": \"KSamplerAdvanced\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-same-text-other-recipe", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"11\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"11\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"fox\", \"prepend_text\": \"a\", \"append_text\": \"\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "9", "state": "resolved"}}, "name": "select-multistage-latent", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"3\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-selector-and-plain", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"12\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"12\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 0], \"on_true\": [\"6\", 0], \"on_false\": [\"8\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "select-preview-dropped", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"13\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"3\", 0]}}, \"14\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"9\", 0]}}, \"15\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"13\", 0]}}, \"16\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"14\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-all-previews-kept", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"13\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"3\", 0]}}, \"14\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"9\", 0]}}, \"15\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"13\", 0]}}, \"16\": {\"class_type\": \"Image Comparer (rgthree)\", \"inputs\": {\"images\": [\"14\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-preview-and-file", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"13\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"3\", 0]}}, \"14\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"9\", 0]}}, \"15\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"13\", 0]}}, \"16\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"14\", 0]}}, \"17\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"14\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "select-unconsumed-stage-kept", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"14\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"9\", 0]}}, \"16\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"14\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-preview-unhashable-class", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"14\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"9\", 0]}}, \"16\": {\"class_type\": [\"PreviewImage\"], \"inputs\": {\"images\": [\"14\", 0]}}, \"17\": {\"class_type\": {\"a\": 1}, \"inputs\": {\"images\": [\"3\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "select-preview-through-bad-node", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"13\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"3\", 0]}}, \"15\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"13\", 0]}}, \"16\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"9\", 0]}}, \"18\": \"not a node\", \"19\": {\"class_type\": \"Note\", \"inputs\": {\"x\": [\"18\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "11", "state": "resolved"}}, "name": "select-detailer-same-prompt", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"10\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"3\", 0]}}, \"11\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"10\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Sampler stages have different prompts", "reason_code": "multistage-differs", "sampler_id": "11", "state": "ambiguous"}}, "name": "select-detailer-differs", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"10\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"3\", 0]}}, \"11\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"10\", 0], \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-detailer-and-own-output", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"10\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"3\", 0]}}, \"11\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"10\", 0], \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"10\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Expected an image link", "reason_code": "malformed", "sampler_id": "11", "state": "unresolved"}}, "name": "select-detailer-image-literal", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"11\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": \"not a link\", \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Cyclic sampler stage ancestry", "reason_code": "malformed", "sampler_id": "11", "state": "unresolved"}}, "name": "select-detailer-cycle", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"11\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"10\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"10\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"11\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Sampler stages have different prompts", "reason_code": "multistage-differs", "sampler_id": "21", "state": "ambiguous"}}, "name": "select-detailer-chain", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"10\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"3\", 0]}}, \"11\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"10\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"21\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"11\", 0], \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"21\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "21", "state": "resolved"}}, "name": "select-detailer-chain-same", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"10\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"3\", 0]}}, \"11\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"10\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"21\": {\"class_type\": \"DetailerForEach\", \"inputs\": {\"image\": [\"11\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"21\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Sampler stages have different prompts", "reason_code": "multistage-differs", "sampler_id": "11", "state": "ambiguous"}}, "name": "select-detailer-two-upstream", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"10\": {\"class_type\": \"ImageBlend\", \"inputs\": {\"image1\": [\"13\", 0], \"image2\": [\"14\", 0]}}, \"13\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"3\", 0]}}, \"14\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"9\", 0]}}, \"11\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"10\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (MysterySampler).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support (MysterySampler).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "MysterySampler", "id": "10"}, "reason": "Unsupported sampler stage ancestry", "reason_code": "unsupported-node", "sampler_id": "11", "state": "unresolved"}}, "name": "select-detailer-unsupported-stage", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"10\": {\"class_type\": \"MysterySampler\", \"inputs\": {\"positive\": [\"6\", 0], \"model\": [\"4\", 0]}}, \"11\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"10\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Missing or malformed graph node", "reason_code": "malformed", "sampler_id": "11", "state": "unresolved"}}, "name": "select-detailer-upstream-unresolved", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"gone\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"10\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"3\", 0]}}, \"11\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"10\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Selector branches have different prompts", "reason_code": null, "sampler_id": "11", "state": "ambiguous"}}, "name": "select-detailer-upstream-selector", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"15\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"15\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 0], \"on_true\": [\"6\", 0], \"on_false\": [\"8\", 0]}}, \"10\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"3\", 0]}}, \"11\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"10\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (FaceDetailer).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt is chosen at run time (FaceDetailer).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "FaceDetailer", "id": "11"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "11", "state": "unresolved"}}, "name": "select-detailer-wildcard", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"10\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"3\", 0]}}, \"11\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"10\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"wildcard\": \"[x|y]\"}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-detailer-no-upscaled-image", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"10\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"3\", 0]}}, \"11\": {\"class_type\": \"UltimateSDUpscaleNoUpscale\", \"inputs\": {\"image\": [\"10\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "11", "state": "resolved"}}, "name": "select-detailer-no-sampler-upstream", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"10\": {\"class_type\": \"LoadImage\", \"inputs\": {\"image\": \"a.png\"}}, \"11\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"10\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-detailer-deep-ancestry", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"d0\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"3\", 0]}}, \"d1\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d0\", 0]}}, \"d2\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d1\", 0]}}, \"d3\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d2\", 0]}}, \"d4\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d3\", 0]}}, \"d5\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d4\", 0]}}, \"d6\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d5\", 0]}}, \"d7\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d6\", 0]}}, \"d8\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d7\", 0]}}, \"d9\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d8\", 0]}}, \"d10\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d9\", 0]}}, \"d11\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d10\", 0]}}, \"d12\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d11\", 0]}}, \"d13\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d12\", 0]}}, \"d14\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d13\", 0]}}, \"d15\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d14\", 0]}}, \"d16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d15\", 0]}}, \"d17\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d16\", 0]}}, \"d18\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d17\", 0]}}, \"d19\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d18\", 0]}}, \"d20\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d19\", 0]}}, \"d21\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d20\", 0]}}, \"d22\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d21\", 0]}}, \"d23\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d22\", 0]}}, \"d24\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d23\", 0]}}, \"d25\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d24\", 0]}}, \"d26\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d25\", 0]}}, \"d27\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d26\", 0]}}, \"d28\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d27\", 0]}}, \"d29\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d28\", 0]}}, \"d30\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d29\", 0]}}, \"d31\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d30\", 0]}}, \"d32\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d31\", 0]}}, \"d33\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d32\", 0]}}, \"d34\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d33\", 0]}}, \"d35\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d34\", 0]}}, \"d36\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d35\", 0]}}, \"d37\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d36\", 0]}}, \"d38\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d37\", 0]}}, \"d39\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d38\", 0]}}, \"d40\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d39\", 0]}}, \"d41\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d40\", 0]}}, \"d42\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d41\", 0]}}, \"d43\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d42\", 0]}}, \"d44\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d43\", 0]}}, \"d45\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d44\", 0]}}, \"d46\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d45\", 0]}}, \"d47\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d46\", 0]}}, \"d48\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d47\", 0]}}, \"d49\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d48\", 0]}}, \"d50\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d49\", 0]}}, \"d51\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d50\", 0]}}, \"d52\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d51\", 0]}}, \"d53\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d52\", 0]}}, \"d54\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d53\", 0]}}, \"d55\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d54\", 0]}}, \"d56\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d55\", 0]}}, \"d57\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d56\", 0]}}, \"d58\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d57\", 0]}}, \"d59\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d58\", 0]}}, \"d60\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d59\", 0]}}, \"d61\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d60\", 0]}}, \"d62\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d61\", 0]}}, \"d63\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d62\", 0]}}, \"d64\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d63\", 0]}}, \"d65\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d64\", 0]}}, \"d66\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d65\", 0]}}, \"d67\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d66\", 0]}}, \"d68\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d67\", 0]}}, \"d69\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d68\", 0]}}, \"11\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"d69\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt exceeds inspection limits.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt exceeds inspection limits.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Resolution depth limit reached", "reason_code": "depth-limit", "sampler_id": "s66", "state": "unresolved"}}, "name": "select-detailer-stacked-past-depth", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"s0\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"3\", 0]}}, \"s1\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s0\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s2\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s1\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s3\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s2\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s4\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s3\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s5\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s4\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s6\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s5\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s7\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s6\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s8\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s7\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s9\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s8\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s10\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s9\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s11\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s10\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s12\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s11\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s13\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s12\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s14\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s13\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s15\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s14\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s16\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s15\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s17\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s16\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s18\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s17\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s19\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s18\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s20\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s19\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s21\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s20\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s22\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s21\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s23\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s22\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s24\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s23\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s25\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s24\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s26\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s25\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s27\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s26\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s28\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s27\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s29\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s28\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s30\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s29\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s31\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s30\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s32\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s31\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s33\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s32\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s34\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s33\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s35\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s34\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s36\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s35\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s37\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s36\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s38\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s37\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s39\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s38\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s40\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s39\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s41\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s40\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s42\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s41\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s43\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s42\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s44\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s43\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s45\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s44\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s46\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s45\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s47\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s46\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s48\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s47\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s49\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s48\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s50\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s49\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s51\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s50\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s52\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s51\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s53\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s52\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s54\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s53\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s55\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s54\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s56\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s55\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s57\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s56\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s58\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s57\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s59\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s58\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s60\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s59\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s61\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s60\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s62\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s61\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s63\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s62\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s64\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s63\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s65\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s64\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s66\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s65\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"s66\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Cyclic sampler stage ancestry", "reason_code": "malformed", "sampler_id": "21", "state": "unresolved"}}, "name": "select-detailer-mutual-cycle", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"11\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"21\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"21\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"11\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"21\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "20", "state": "resolved"}}, "name": "select-hires-fix", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Sampler stages have different prompts", "reason_code": "multistage-differs", "sampler_id": "20", "state": "ambiguous"}}, "name": "select-hires-fix-differs", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"5\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-hires-fix-unlisted", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"MysteryImageEffect\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (TextGenerate).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support (TextGenerate).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "TextGenerate", "id": "6"}, "reason": "Unsupported node semantics or output slot", "reason_code": "unsupported-node", "sampler_id": "20", "state": "unresolved"}}, "name": "select-hires-fix-generated", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"6\", 0], \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"6\": {\"class_type\": \"TextGenerate\", \"inputs\": {\"prompt\": \"write a prompt\", \"model\": [\"1\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "zeroed-conditioning", "status": "resolved", "text": ""}, "positive": {"source": "added-conditioning", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "A later stage adds conditioning to the base prompt", "reason_code": null, "sampler_id": "50", "state": "resolved"}}, "name": "select-flux-three-stage", "records": {"prompt": "{\"1\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"flux\"}}, \"2\": {\"class_type\": \"DualCLIPLoader\", \"inputs\": {\"type\": \"flux\"}}, \"3\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"ae\"}}, \"30\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"32\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"2\", 0]}}, \"33\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"32\", 0]}}, \"34\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"30\", 0]}}, \"35\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"30\", 0], \"conditioning_2\": [\"31\", 0]}}, \"36\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1080, \"height\": 1920, \"batch_size\": 4}}, \"40\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"36\", 0]}}, \"41\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"40\", 0], \"vae\": [\"3\", 0]}}, \"42\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"images\": [\"41\", 0]}}, \"43\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"42\", 0]}}, \"44\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"42\", 0], \"vae\": [\"3\", 0]}}, \"50\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"44\", 0]}}, \"51\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"50\", 0], \"vae\": [\"3\", 0]}}, \"52\": {\"class_type\": \"ImageScaleDownBy\", \"inputs\": {\"scale_by\": 0.75, \"images\": [\"51\", 0]}}, \"53\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"51\", 0]}}, \"54\": {\"class_type\": \"Image Comparer (rgthree)\", \"inputs\": {\"image_a\": [\"51\", 0], \"image_b\": [\"42\", 0]}}, \"60\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"upscale_by\": 2.0, \"seed\": 7, \"steps\": 4, \"denoise\": 0.35, \"image\": [\"52\", 0], \"model\": [\"1\", 0], \"positive\": [\"35\", 0], \"negative\": [\"33\", 0], \"vae\": [\"3\", 0]}}, \"61\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"flux\", \"images\": [\"60\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "zeroed-conditioning", "status": "resolved", "text": ""}, "positive": {"source": "added-conditioning", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "A later stage adds conditioning to the base prompt", "reason_code": null, "sampler_id": "50", "state": "resolved"}}, "name": "select-flux-concat", "records": {"prompt": "{\"1\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"flux\"}}, \"2\": {\"class_type\": \"DualCLIPLoader\", \"inputs\": {\"type\": \"flux\"}}, \"3\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"ae\"}}, \"30\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"32\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"2\", 0]}}, \"33\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"32\", 0]}}, \"34\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"30\", 0]}}, \"35\": {\"class_type\": \"ConditioningConcat\", \"inputs\": {\"conditioning_to\": [\"30\", 0], \"conditioning_from\": [\"31\", 0]}}, \"36\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1080, \"height\": 1920, \"batch_size\": 4}}, \"40\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"36\", 0]}}, \"41\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"40\", 0], \"vae\": [\"3\", 0]}}, \"42\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"images\": [\"41\", 0]}}, \"43\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"42\", 0]}}, \"44\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"42\", 0], \"vae\": [\"3\", 0]}}, \"50\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"44\", 0]}}, \"51\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"50\", 0], \"vae\": [\"3\", 0]}}, \"52\": {\"class_type\": \"ImageScaleDownBy\", \"inputs\": {\"scale_by\": 0.75, \"images\": [\"51\", 0]}}, \"53\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"51\", 0]}}, \"54\": {\"class_type\": \"Image Comparer (rgthree)\", \"inputs\": {\"image_a\": [\"51\", 0], \"image_b\": [\"42\", 0]}}, \"60\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"upscale_by\": 2.0, \"seed\": 7, \"steps\": 4, \"denoise\": 0.35, \"image\": [\"52\", 0], \"model\": [\"1\", 0], \"positive\": [\"35\", 0], \"negative\": [\"33\", 0], \"vae\": [\"3\", 0]}}, \"61\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"flux\", \"images\": [\"60\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningAverage).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (ConditioningAverage).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "ConditioningAverage", "id": "35"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "60", "state": "unresolved"}}, "name": "select-flux-average", "records": {"prompt": "{\"1\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"flux\"}}, \"2\": {\"class_type\": \"DualCLIPLoader\", \"inputs\": {\"type\": \"flux\"}}, \"3\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"ae\"}}, \"30\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"32\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"2\", 0]}}, \"33\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"32\", 0]}}, \"34\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"30\", 0]}}, \"35\": {\"class_type\": \"ConditioningAverage\", \"inputs\": {\"conditioning_to\": [\"30\", 0], \"conditioning_from\": [\"31\", 0]}}, \"36\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1080, \"height\": 1920, \"batch_size\": 4}}, \"40\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"36\", 0]}}, \"41\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"40\", 0], \"vae\": [\"3\", 0]}}, \"42\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"images\": [\"41\", 0]}}, \"43\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"42\", 0]}}, \"44\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"42\", 0], \"vae\": [\"3\", 0]}}, \"50\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"44\", 0]}}, \"51\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"50\", 0], \"vae\": [\"3\", 0]}}, \"52\": {\"class_type\": \"ImageScaleDownBy\", \"inputs\": {\"scale_by\": 0.75, \"images\": [\"51\", 0]}}, \"53\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"51\", 0]}}, \"54\": {\"class_type\": \"Image Comparer (rgthree)\", \"inputs\": {\"image_a\": [\"51\", 0], \"image_b\": [\"42\", 0]}}, \"60\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"upscale_by\": 2.0, \"seed\": 7, \"steps\": 4, \"denoise\": 0.35, \"image\": [\"52\", 0], \"model\": [\"1\", 0], \"positive\": [\"35\", 0], \"negative\": [\"33\", 0], \"vae\": [\"3\", 0]}}, \"61\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"flux\", \"images\": [\"60\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-edit-batch", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"LoadImage\", \"inputs\": {\"image\": \"ref.png\"}}, \"3\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"2\", 0], \"vae\": [\"1\", 2]}}, \"4\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"edit\"}}, \"100\": {\"class_type\": \"TextEncodeQwenImageEdit\", \"inputs\": {\"prompt\": \"edit number 0: change the pose\", \"clip\": [\"1\", 1]}}, \"101\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"100\", 0], \"negative\": [\"100\", 0], \"latent_image\": [\"3\", 0]}}, \"102\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"101\", 0], \"vae\": [\"1\", 2]}}, \"103\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": [\"4\", 0], \"images\": [\"102\", 0]}}, \"110\": {\"class_type\": \"TextEncodeQwenImageEdit\", \"inputs\": {\"prompt\": \"edit number 1: change the pose\", \"clip\": [\"1\", 1]}}, \"111\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"110\", 0], \"negative\": [\"110\", 0], \"latent_image\": [\"3\", 0]}}, \"112\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"111\", 0], \"vae\": [\"1\", 2]}}, \"113\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": [\"4\", 0], \"images\": [\"112\", 0]}}, \"120\": {\"class_type\": \"TextEncodeQwenImageEdit\", \"inputs\": {\"prompt\": \"edit number 2: change the pose\", \"clip\": [\"1\", 1]}}, \"121\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"120\", 0], \"negative\": [\"120\", 0], \"latent_image\": [\"3\", 0]}}, \"122\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"121\", 0], \"vae\": [\"1\", 2]}}, \"123\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": [\"4\", 0], \"images\": [\"122\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "ConditioningCombine", "id": "35"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "60", "state": "unresolved"}}, "name": "select-flux-without-base", "records": {"prompt": "{\"1\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"flux\"}}, \"2\": {\"class_type\": \"DualCLIPLoader\", \"inputs\": {\"type\": \"flux\"}}, \"3\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"ae\"}}, \"30\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"32\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"2\", 0]}}, \"33\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"32\", 0]}}, \"34\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"30\", 0]}}, \"35\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"37\", 0], \"conditioning_2\": [\"31\", 0]}}, \"36\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1080, \"height\": 1920, \"batch_size\": 4}}, \"40\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"36\", 0]}}, \"41\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"40\", 0], \"vae\": [\"3\", 0]}}, \"42\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"images\": [\"41\", 0]}}, \"43\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"42\", 0]}}, \"44\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"42\", 0], \"vae\": [\"3\", 0]}}, \"50\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"44\", 0]}}, \"51\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"50\", 0], \"vae\": [\"3\", 0]}}, \"52\": {\"class_type\": \"ImageScaleDownBy\", \"inputs\": {\"scale_by\": 0.75, \"images\": [\"51\", 0]}}, \"53\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"51\", 0]}}, \"54\": {\"class_type\": \"Image Comparer (rgthree)\", \"inputs\": {\"image_a\": [\"51\", 0], \"image_b\": [\"42\", 0]}}, \"60\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"upscale_by\": 2.0, \"seed\": 7, \"steps\": 4, \"denoise\": 0.35, \"image\": [\"52\", 0], \"model\": [\"1\", 0], \"positive\": [\"35\", 0], \"negative\": [\"33\", 0], \"vae\": [\"3\", 0]}}, \"61\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"flux\", \"images\": [\"60\", 0]}}, \"37\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "ConditioningCombine", "id": "35"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "60", "state": "unresolved"}}, "name": "select-flux-other-negative", "records": {"prompt": "{\"1\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"flux\"}}, \"2\": {\"class_type\": \"DualCLIPLoader\", \"inputs\": {\"type\": \"flux\"}}, \"3\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"ae\"}}, \"30\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"32\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"2\", 0]}}, \"33\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"32\", 0]}}, \"34\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"30\", 0]}}, \"35\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"30\", 0], \"conditioning_2\": [\"31\", 0]}}, \"36\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1080, \"height\": 1920, \"batch_size\": 4}}, \"40\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"36\", 0]}}, \"41\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"40\", 0], \"vae\": [\"3\", 0]}}, \"42\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"images\": [\"41\", 0]}}, \"43\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"42\", 0]}}, \"44\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"42\", 0], \"vae\": [\"3\", 0]}}, \"50\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"44\", 0]}}, \"51\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"50\", 0], \"vae\": [\"3\", 0]}}, \"52\": {\"class_type\": \"ImageScaleDownBy\", \"inputs\": {\"scale_by\": 0.75, \"images\": [\"51\", 0]}}, \"53\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"51\", 0]}}, \"54\": {\"class_type\": \"Image Comparer (rgthree)\", \"inputs\": {\"image_a\": [\"51\", 0], \"image_b\": [\"42\", 0]}}, \"60\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"upscale_by\": 2.0, \"seed\": 7, \"steps\": 4, \"denoise\": 0.35, \"image\": [\"52\", 0], \"model\": [\"1\", 0], \"positive\": [\"35\", 0], \"negative\": [\"38\", 0], \"vae\": [\"3\", 0]}}, \"61\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"flux\", \"images\": [\"60\", 0]}}, \"38\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"watermark\", \"clip\": [\"1\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-hires-fix-cycle", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"20\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"10\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "20", "state": "resolved"}}, "name": "select-hires-fix-reroute", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"18\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"18\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"16\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "Every sampler branch uses the same prompt pair", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "select-hires-fix-both-saved", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"24\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-hires-fix-missing-latent", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"99\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "ConditioningCombine", "id": "35"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "60", "state": "unresolved"}}, "name": "select-flux-negative-unsupported", "records": {"prompt": "{\"1\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"flux\"}}, \"2\": {\"class_type\": \"DualCLIPLoader\", \"inputs\": {\"type\": \"flux\"}}, \"3\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"ae\"}}, \"30\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"32\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"2\", 0]}}, \"33\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"32\", 0]}}, \"34\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"30\", 0]}}, \"35\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"30\", 0], \"conditioning_2\": [\"31\", 0]}}, \"36\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1080, \"height\": 1920, \"batch_size\": 4}}, \"40\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"36\", 0]}}, \"41\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"40\", 0], \"vae\": [\"3\", 0]}}, \"42\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"images\": [\"41\", 0]}}, \"43\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"42\", 0]}}, \"44\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"42\", 0], \"vae\": [\"3\", 0]}}, \"50\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"44\", 0]}}, \"51\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"50\", 0], \"vae\": [\"3\", 0]}}, \"52\": {\"class_type\": \"ImageScaleDownBy\", \"inputs\": {\"scale_by\": 0.75, \"images\": [\"51\", 0]}}, \"53\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"51\", 0]}}, \"54\": {\"class_type\": \"Image Comparer (rgthree)\", \"inputs\": {\"image_a\": [\"51\", 0], \"image_b\": [\"42\", 0]}}, \"60\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"upscale_by\": 2.0, \"seed\": 7, \"steps\": 4, \"denoise\": 0.35, \"image\": [\"52\", 0], \"model\": [\"1\", 0], \"positive\": [\"35\", 0], \"negative\": [\"38\", 0], \"vae\": [\"3\", 0]}}, \"61\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"flux\", \"images\": [\"60\", 0]}}, \"38\": {\"class_type\": \"MysteryNegative\", \"inputs\": {\"seed\": 1}}}"}}, {"evidence": {"prompts": {"negative": {"source": "zeroed-conditioning", "status": "resolved", "text": ""}, "positive": {"source": "added-conditioning", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "A later stage adds conditioning to the base prompt", "reason_code": null, "sampler_id": "50", "state": "resolved"}}, "name": "select-flux-reroute-input", "records": {"prompt": "{\"1\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"flux\"}}, \"2\": {\"class_type\": \"DualCLIPLoader\", \"inputs\": {\"type\": \"flux\"}}, \"3\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"ae\"}}, \"30\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"32\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"2\", 0]}}, \"33\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"32\", 0]}}, \"34\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"30\", 0]}}, \"35\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"30\", 0], \"conditioning_2\": [\"31\", 0]}}, \"36\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1080, \"height\": 1920, \"batch_size\": 4}}, \"40\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"36\", 0]}}, \"41\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"40\", 0], \"vae\": [\"3\", 0]}}, \"42\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"images\": [\"41\", 0]}}, \"43\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"42\", 0]}}, \"44\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"42\", 0], \"vae\": [\"3\", 0]}}, \"50\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"44\", 0]}}, \"51\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"50\", 0], \"vae\": [\"3\", 0]}}, \"52\": {\"class_type\": \"ImageScaleDownBy\", \"inputs\": {\"scale_by\": 0.75, \"images\": [\"51\", 0]}}, \"53\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"51\", 0]}}, \"54\": {\"class_type\": \"Image Comparer (rgthree)\", \"inputs\": {\"image_a\": [\"51\", 0], \"image_b\": [\"42\", 0]}}, \"60\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"upscale_by\": 2.0, \"seed\": 7, \"steps\": 4, \"denoise\": 0.35, \"image\": [\"52\", 0], \"model\": [\"1\", 0], \"positive\": [\"39\", 0], \"negative\": [\"33\", 0], \"vae\": [\"3\", 0]}}, \"61\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"flux\", \"images\": [\"60\", 0]}}, \"39\": {\"class_type\": \"Reroute\", \"inputs\": {\"input\": [\"35\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (CLIPTextEncodeSDXL).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (CLIPTextEncodeSDXL).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "CLIPTextEncodeSDXL", "id": "39"}, "reason": "Encoder parts have different texts", "reason_code": "composite", "sampler_id": "60", "state": "unresolved"}}, "name": "select-flux-encoder-parts", "records": {"prompt": "{\"1\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"flux\"}}, \"2\": {\"class_type\": \"DualCLIPLoader\", \"inputs\": {\"type\": \"flux\"}}, \"3\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"ae\"}}, \"30\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"32\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"2\", 0]}}, \"33\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"32\", 0]}}, \"34\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"30\", 0]}}, \"35\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"30\", 0], \"conditioning_2\": [\"31\", 0]}}, \"36\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1080, \"height\": 1920, \"batch_size\": 4}}, \"40\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"36\", 0]}}, \"41\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"40\", 0], \"vae\": [\"3\", 0]}}, \"42\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"images\": [\"41\", 0]}}, \"43\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"42\", 0]}}, \"44\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"42\", 0], \"vae\": [\"3\", 0]}}, \"50\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"44\", 0]}}, \"51\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"50\", 0], \"vae\": [\"3\", 0]}}, \"52\": {\"class_type\": \"ImageScaleDownBy\", \"inputs\": {\"scale_by\": 0.75, \"images\": [\"51\", 0]}}, \"53\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"51\", 0]}}, \"54\": {\"class_type\": \"Image Comparer (rgthree)\", \"inputs\": {\"image_a\": [\"51\", 0], \"image_b\": [\"42\", 0]}}, \"60\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"upscale_by\": 2.0, \"seed\": 7, \"steps\": 4, \"denoise\": 0.35, \"image\": [\"52\", 0], \"model\": [\"1\", 0], \"positive\": [\"39\", 0], \"negative\": [\"33\", 0], \"vae\": [\"3\", 0]}}, \"61\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"flux\", \"images\": [\"60\", 0]}}, \"39\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"a lighthouse on a cliff, golden hour\", \"text_l\": \"film grain, analog photo\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "Every sampler branch uses the same prompt pair", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "select-edge-hires-fix-two-refiners", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"30\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.4, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"31\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"30\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-edge-hires-fix-denoised-slot", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 1], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-edge-hires-fix-self-latent", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"30\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"32\", 0]}}, \"31\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"30\", 0]}}, \"32\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"31\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "Every sampler branch uses the same prompt pair", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "select-edge-hires-fix-lineage-cycle", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"30\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"32\", 0]}}, \"31\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"32\", 0]}}, \"32\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"31\", 0]}}, \"33\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"30\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "ConditioningCombine", "id": "35"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "60", "state": "unresolved"}}, "name": "select-edge-flux-base-stages-differ", "records": {"prompt": "{\"1\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"flux\"}}, \"2\": {\"class_type\": \"DualCLIPLoader\", \"inputs\": {\"type\": \"flux\"}}, \"3\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"ae\"}}, \"30\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"32\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"2\", 0]}}, \"33\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"32\", 0]}}, \"34\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"30\", 0]}}, \"35\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"30\", 0], \"conditioning_2\": [\"31\", 0]}}, \"36\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1080, \"height\": 1920, \"batch_size\": 4}}, \"40\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"39\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"36\", 0]}}, \"41\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"40\", 0], \"vae\": [\"3\", 0]}}, \"42\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"images\": [\"41\", 0]}}, \"43\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"42\", 0]}}, \"44\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"42\", 0], \"vae\": [\"3\", 0]}}, \"50\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"44\", 0]}}, \"51\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"50\", 0], \"vae\": [\"3\", 0]}}, \"52\": {\"class_type\": \"ImageScaleDownBy\", \"inputs\": {\"scale_by\": 0.75, \"images\": [\"51\", 0]}}, \"53\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"51\", 0]}}, \"54\": {\"class_type\": \"Image Comparer (rgthree)\", \"inputs\": {\"image_a\": [\"51\", 0], \"image_b\": [\"42\", 0]}}, \"60\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"upscale_by\": 2.0, \"seed\": 7, \"steps\": 4, \"denoise\": 0.35, \"image\": [\"52\", 0], \"model\": [\"1\", 0], \"positive\": [\"35\", 0], \"negative\": [\"33\", 0], \"vae\": [\"3\", 0]}}, \"61\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"flux\", \"images\": [\"60\", 0]}}, \"39\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "ConditioningCombine", "id": "35"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "60", "state": "unresolved"}}, "name": "select-edge-flux-no-last-negative", "records": {"prompt": "{\"1\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"flux\"}}, \"2\": {\"class_type\": \"DualCLIPLoader\", \"inputs\": {\"type\": \"flux\"}}, \"3\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"ae\"}}, \"30\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"32\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"2\", 0]}}, \"33\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"32\", 0]}}, \"34\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"30\", 0]}}, \"35\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"30\", 0], \"conditioning_2\": [\"31\", 0]}}, \"36\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1080, \"height\": 1920, \"batch_size\": 4}}, \"40\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"36\", 0]}}, \"41\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"40\", 0], \"vae\": [\"3\", 0]}}, \"42\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"images\": [\"41\", 0]}}, \"43\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"42\", 0]}}, \"44\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"42\", 0], \"vae\": [\"3\", 0]}}, \"50\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"44\", 0]}}, \"51\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"50\", 0], \"vae\": [\"3\", 0]}}, \"52\": {\"class_type\": \"ImageScaleDownBy\", \"inputs\": {\"scale_by\": 0.75, \"images\": [\"51\", 0]}}, \"53\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"51\", 0]}}, \"54\": {\"class_type\": \"Image Comparer (rgthree)\", \"inputs\": {\"image_a\": [\"51\", 0], \"image_b\": [\"42\", 0]}}, \"60\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"upscale_by\": 2.0, \"seed\": 7, \"steps\": 4, \"denoise\": 0.35, \"image\": [\"52\", 0], \"model\": [\"1\", 0], \"positive\": [\"35\", 0], \"vae\": [\"3\", 0]}}, \"61\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"flux\", \"images\": [\"60\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "ConditioningCombine", "id": "35"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "60", "state": "unresolved"}}, "name": "select-edge-flux-unreadable-base", "records": {"prompt": "{\"1\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"flux\"}}, \"2\": {\"class_type\": \"DualCLIPLoader\", \"inputs\": {\"type\": \"flux\"}}, \"3\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"ae\"}}, \"30\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"32\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"2\", 0]}}, \"33\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"32\", 0]}}, \"34\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"30\", 0]}}, \"35\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"30\", 0], \"conditioning_2\": [\"31\", 0]}}, \"36\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1080, \"height\": 1920, \"batch_size\": 4}}, \"40\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"39\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"36\", 0]}}, \"41\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"40\", 0], \"vae\": [\"3\", 0]}}, \"42\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"images\": [\"41\", 0]}}, \"43\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"42\", 0]}}, \"44\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"42\", 0], \"vae\": [\"3\", 0]}}, \"50\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"39\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"44\", 0]}}, \"51\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"50\", 0], \"vae\": [\"3\", 0]}}, \"52\": {\"class_type\": \"ImageScaleDownBy\", \"inputs\": {\"scale_by\": 0.75, \"images\": [\"51\", 0]}}, \"53\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"51\", 0]}}, \"54\": {\"class_type\": \"Image Comparer (rgthree)\", \"inputs\": {\"image_a\": [\"51\", 0], \"image_b\": [\"42\", 0]}}, \"60\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"upscale_by\": 2.0, \"seed\": 7, \"steps\": 4, \"denoise\": 0.35, \"image\": [\"52\", 0], \"model\": [\"1\", 0], \"positive\": [\"35\", 0], \"negative\": [\"33\", 0], \"vae\": [\"3\", 0]}}, \"61\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"flux\", \"images\": [\"60\", 0]}}, \"39\": {\"class_type\": \"MysteryPrompt\", \"inputs\": {\"seed\": 1}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-edge-flux-unsupported-ancestry", "records": {"prompt": "{\"1\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"flux\"}}, \"2\": {\"class_type\": \"DualCLIPLoader\", \"inputs\": {\"type\": \"flux\"}}, \"3\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"ae\"}}, \"30\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"32\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"2\", 0]}}, \"33\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"32\", 0]}}, \"34\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"30\", 0]}}, \"35\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"30\", 0], \"conditioning_2\": [\"31\", 0]}}, \"36\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1080, \"height\": 1920, \"batch_size\": 4}}, \"40\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"36\", 0]}}, \"41\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"40\", 0], \"vae\": [\"3\", 0]}}, \"42\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"images\": [\"41\", 0]}}, \"43\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"42\", 0]}}, \"44\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"42\", 0], \"vae\": [\"3\", 0]}}, \"50\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"44\", 0]}}, \"51\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"50\", 0], \"vae\": [\"3\", 0]}}, \"52\": {\"class_type\": \"ImageScaleDownBy\", \"inputs\": {\"scale_by\": 0.75, \"images\": [\"39\", 0]}}, \"53\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"51\", 0]}}, \"54\": {\"class_type\": \"Image Comparer (rgthree)\", \"inputs\": {\"image_a\": [\"51\", 0], \"image_b\": [\"42\", 0]}}, \"60\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"upscale_by\": 2.0, \"seed\": 7, \"steps\": 4, \"denoise\": 0.35, \"image\": [\"52\", 0], \"model\": [\"1\", 0], \"positive\": [\"35\", 0], \"negative\": [\"33\", 0], \"vae\": [\"3\", 0]}}, \"61\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"flux\", \"images\": [\"60\", 0]}}, \"39\": {\"class_type\": \"MysteryUpscaler\", \"inputs\": {\"image\": [\"51\", 0], \"model\": [\"1\", 0], \"positive\": [\"34\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-edge-flux-custom-advanced-last", "records": {"prompt": "{\"1\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"flux\"}}, \"2\": {\"class_type\": \"DualCLIPLoader\", \"inputs\": {\"type\": \"flux\"}}, \"3\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"ae\"}}, \"30\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"32\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"2\", 0]}}, \"33\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"32\", 0]}}, \"34\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"30\", 0]}}, \"35\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"30\", 0], \"conditioning_2\": [\"31\", 0]}}, \"36\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1080, \"height\": 1920, \"batch_size\": 4}}, \"40\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"36\", 0]}}, \"41\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"40\", 0], \"vae\": [\"3\", 0]}}, \"42\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"images\": [\"41\", 0]}}, \"43\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"42\", 0]}}, \"44\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"42\", 0], \"vae\": [\"3\", 0]}}, \"50\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"44\", 0]}}, \"51\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"50\", 0], \"vae\": [\"3\", 0]}}, \"52\": {\"class_type\": \"ImageScaleDownBy\", \"inputs\": {\"scale_by\": 0.75, \"images\": [\"51\", 0]}}, \"53\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"51\", 0]}}, \"54\": {\"class_type\": \"Image Comparer (rgthree)\", \"inputs\": {\"image_a\": [\"51\", 0], \"image_b\": [\"42\", 0]}}, \"60\": {\"class_type\": \"SamplerCustomAdvanced\", \"inputs\": {\"noise\": [\"62\", 0], \"guider\": [\"63\", 0], \"sampler\": [\"64\", 0], \"sigmas\": [\"65\", 0], \"latent_image\": [\"66\", 0]}}, \"61\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"flux\", \"images\": [\"67\", 0]}}, \"62\": {\"class_type\": \"RandomNoise\", \"inputs\": {\"noise_seed\": 1}}, \"63\": {\"class_type\": \"CFGGuider\", \"inputs\": {\"model\": [\"1\", 0], \"positive\": [\"35\", 0], \"negative\": [\"33\", 0]}}, \"64\": {\"class_type\": \"KSamplerSelect\", \"inputs\": {\"sampler_name\": \"euler\"}}, \"65\": {\"class_type\": \"BasicScheduler\", \"inputs\": {\"steps\": 4}}, \"66\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"52\", 0]}}, \"67\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"60\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "runtime-parts-omitted", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "Text added at run time, such as trigger words, is not included", "reason_code": null, "sampler_id": "20", "state": "resolved"}}, "name": "select-runtime-trigger-prepend", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": [\"8\", 0], \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"7\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"model\": [\"1\", 0], \"clip\": [\"1\", 1], \"text\": \"\"}}, \"8\": {\"class_type\": \"TriggerWord Toggle (LoraManager)\", \"inputs\": {\"group_mode\": true, \"default_active\": true, \"toggle_trigger_words\": {\"__value__\": [{\"text\": \"trig9word\", \"active\": true}]}, \"orinalMessage\": \"trig9word\", \"trigger_words\": [\"7\", 2]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "runtime-parts-omitted", "status": "resolved", "text": "masterpiece a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "Every sampler branch uses the same prompt pair", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "select-runtime-trigger-append-single", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"masterpiece\", \"append_text\": [\"8\", 0], \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"7\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"model\": [\"1\", 0], \"clip\": [\"1\", 1], \"text\": \"\"}}, \"8\": {\"class_type\": \"TriggerWord Toggle (LoraManager)\", \"inputs\": {\"group_mode\": true, \"default_active\": true, \"toggle_trigger_words\": {\"__value__\": [{\"text\": \"trig9word\", \"active\": true}]}, \"orinalMessage\": \"trig9word\", \"trigger_words\": [\"7\", 2]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "trig9word a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "20", "state": "resolved"}}, "name": "select-runtime-traced-prepend", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": [\"8\", 0], \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"7\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"model\": [\"1\", 0], \"clip\": [\"1\", 1], \"text\": \"\"}}, \"8\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"trig9word\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (MysteryWords).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support (MysteryWords).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "MysteryWords", "id": "8"}, "reason": "Unsupported node semantics or output slot", "reason_code": "unsupported-node", "sampler_id": "20", "state": "unresolved"}}, "name": "select-runtime-unknown-prepend", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": [\"8\", 0], \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"7\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"model\": [\"1\", 0], \"clip\": [\"1\", 1], \"text\": \"\"}}, \"8\": {\"class_type\": \"MysteryWords\", \"inputs\": {\"group_mode\": true, \"default_active\": true, \"toggle_trigger_words\": {\"__value__\": [{\"text\": \"trig9word\", \"active\": true}]}, \"orinalMessage\": \"trig9word\", \"trigger_words\": [\"7\", 2]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (TriggerWord Toggle (LoraManager)).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt is chosen at run time (TriggerWord Toggle (LoraManager)).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "TriggerWord Toggle (LoraManager)", "id": "8"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "20", "state": "unresolved"}}, "name": "select-runtime-indirect-prepend", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": [\"9\", 0], \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"7\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"model\": [\"1\", 0], \"clip\": [\"1\", 1], \"text\": \"\"}}, \"8\": {\"class_type\": \"TriggerWord Toggle (LoraManager)\", \"inputs\": {\"group_mode\": true, \"default_active\": true, \"toggle_trigger_words\": {\"__value__\": [{\"text\": \"trig9word\", \"active\": true}]}, \"orinalMessage\": \"trig9word\", \"trigger_words\": [\"7\", 2]}}, \"9\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \"kept\", \"string_b\": [\"8\", 0], \"delimiter\": \"\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (TriggerWord Toggle (LoraManager)).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt is chosen at run time (TriggerWord Toggle (LoraManager)).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "TriggerWord Toggle (LoraManager)", "id": "8"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "20", "state": "unresolved"}}, "name": "select-runtime-runtime-main-text", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": [\"8\", 0], \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"7\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"model\": [\"1\", 0], \"clip\": [\"1\", 1], \"text\": \"\"}}, \"8\": {\"class_type\": \"TriggerWord Toggle (LoraManager)\", \"inputs\": {\"group_mode\": true, \"default_active\": true, \"toggle_trigger_words\": {\"__value__\": [{\"text\": \"trig9word\", \"active\": true}]}, \"orinalMessage\": \"trig9word\", \"trigger_words\": [\"7\", 2]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "runtime-parts-omitted", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "Text added at run time, such as trigger words, is not included", "reason_code": null, "sampler_id": "20", "state": "resolved"}}, "name": "select-runtime-trigger-pair", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": [\"8\", 0], \"append_text\": \"\", \"clip\": [\"1\", 1], \"negative_text\": \"blurry, lowres\"}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"2\", 1], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"2\", 1], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"7\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"model\": [\"1\", 0], \"clip\": [\"1\", 1], \"text\": \"\"}}, \"8\": {\"class_type\": \"TriggerWord Toggle (LoraManager)\", \"inputs\": {\"group_mode\": true, \"default_active\": true, \"toggle_trigger_words\": {\"__value__\": [{\"text\": \"trig9word\", \"active\": true}]}, \"orinalMessage\": \"trig9word\", \"trigger_words\": [\"7\", 2]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "runtime-parts-omitted", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "Text added at run time, such as trigger words, is not included", "reason_code": null, "sampler_id": "20", "state": "resolved"}}, "name": "select-runtime-search-list-append", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": [\"8\", 0], \"append_text\": [\"30\", 0], \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"7\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"model\": [\"1\", 0], \"clip\": [\"1\", 1], \"text\": \"\"}}, \"8\": {\"class_type\": \"TriggerWord Toggle (LoraManager)\", \"inputs\": {\"group_mode\": true, \"default_active\": true, \"toggle_trigger_words\": {\"__value__\": [{\"text\": \"trig9word\", \"active\": true}]}, \"orinalMessage\": \"trig9word\", \"trigger_words\": [\"7\", 2]}}, \"30\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"search\": \"x\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "runtime-parts-omitted", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "Text added at run time, such as trigger words, is not included", "reason_code": null, "sampler_id": "20", "state": "resolved"}}, "name": "select-runtime-through-text-encode", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"9\", 0]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"7\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"model\": [\"1\", 0], \"clip\": [\"1\", 1], \"text\": \"\"}}, \"8\": {\"class_type\": \"TriggerWord Toggle (LoraManager)\", \"inputs\": {\"group_mode\": true, \"default_active\": true, \"toggle_trigger_words\": {\"__value__\": [{\"text\": \"trig9word\", \"active\": true}]}, \"orinalMessage\": \"trig9word\", \"trigger_words\": [\"7\", 2]}}, \"9\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": [\"8\", 0], \"append_text\": \"\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "runtime-parts-omitted", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "Text added at run time, such as trigger words, is not included", "reason_code": null, "sampler_id": "20", "state": "resolved"}}, "name": "select-runtime-through-chained", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": [\"9\", 0], \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"7\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"model\": [\"1\", 0], \"clip\": [\"1\", 1], \"text\": \"\"}}, \"8\": {\"class_type\": \"TriggerWord Toggle (LoraManager)\", \"inputs\": {\"group_mode\": true, \"default_active\": true, \"toggle_trigger_words\": {\"__value__\": [{\"text\": \"trig9word\", \"active\": true}]}, \"orinalMessage\": \"trig9word\", \"trigger_words\": [\"7\", 2]}}, \"9\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": [\"8\", 0], \"append_text\": \"\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "runtime-parts-omitted", "status": "resolved", "text": "a lighthouse on a cliff, golden hour, extra"}}, "resolution": {"node": null, "reason": "Text added at run time, such as trigger words, is not included", "reason_code": null, "sampler_id": "20", "state": "resolved"}}, "name": "select-runtime-through-concat", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"19\", 0]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"7\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"model\": [\"1\", 0], \"clip\": [\"1\", 1], \"text\": \"\"}}, \"8\": {\"class_type\": \"TriggerWord Toggle (LoraManager)\", \"inputs\": {\"group_mode\": true, \"default_active\": true, \"toggle_trigger_words\": {\"__value__\": [{\"text\": \"trig9word\", \"active\": true}]}, \"orinalMessage\": \"trig9word\", \"trigger_words\": [\"7\", 2]}}, \"9\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": [\"8\", 0], \"append_text\": \"\"}}, \"19\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": [\"9\", 0], \"string_b\": \"extra\", \"delimiter\": \", \"}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-runtime-branches-with-and-without", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": [\"8\", 0], \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"9\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"7\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"model\": [\"1\", 0], \"clip\": [\"1\", 1], \"text\": \"\"}}, \"8\": {\"class_type\": \"TriggerWord Toggle (LoraManager)\", \"inputs\": {\"group_mode\": true, \"default_active\": true, \"toggle_trigger_words\": {\"__value__\": [{\"text\": \"trig9word\", \"active\": true}]}, \"orinalMessage\": \"trig9word\", \"trigger_words\": [\"7\", 2]}}, \"9\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Sampler stages have different prompts", "reason_code": "multistage-differs", "sampler_id": "20", "state": "ambiguous"}}, "name": "select-runtime-stage-with-and-without", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": [\"8\", 0], \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"9\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"7\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"model\": [\"1\", 0], \"clip\": [\"1\", 1], \"text\": \"\"}}, \"8\": {\"class_type\": \"TriggerWord Toggle (LoraManager)\", \"inputs\": {\"group_mode\": true, \"default_active\": true, \"toggle_trigger_words\": {\"__value__\": [{\"text\": \"trig9word\", \"active\": true}]}, \"orinalMessage\": \"trig9word\", \"trigger_words\": [\"7\", 2]}}, \"9\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (JoinStringMulti).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt is chosen at run time (JoinStringMulti).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "JoinStringMulti", "id": "9"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "20", "state": "unresolved"}}, "name": "select-runtime-join-multi-flag", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": [\"9\", 0], \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"9\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"inputcount\": 2, \"delimiter\": \" \", \"return_list\": [\"98\", 0], \"string_1\": \"static words\", \"string_2\": \"more\"}}, \"98\": {\"class_type\": \"PrimitiveBoolean\", \"inputs\": {\"value\": false}}}"}}, {"evidence": {"prompts": {"negative": {"source": "zeroed-conditioning", "status": "resolved", "text": ""}, "positive": {"source": "added-conditioning", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "A later stage adds conditioning to the base prompt", "reason_code": null, "sampler_id": "50", "state": "resolved"}}, "name": "select-runtime-flux-other-full-prompt", "records": {"prompt": "{\"1\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"flux\"}}, \"2\": {\"class_type\": \"DualCLIPLoader\", \"inputs\": {\"type\": \"flux\"}}, \"3\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"ae\"}}, \"30\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"32\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"2\", 0]}}, \"33\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"32\", 0]}}, \"34\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"30\", 0]}}, \"35\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"30\", 0], \"conditioning_2\": [\"31\", 0]}}, \"36\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1080, \"height\": 1920, \"batch_size\": 4}}, \"40\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"36\", 0]}}, \"41\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"40\", 0], \"vae\": [\"3\", 0]}}, \"42\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"images\": [\"41\", 0]}}, \"43\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"42\", 0]}}, \"44\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"42\", 0], \"vae\": [\"3\", 0]}}, \"50\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"44\", 0]}}, \"51\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"50\", 0], \"vae\": [\"3\", 0]}}, \"52\": {\"class_type\": \"ImageScaleDownBy\", \"inputs\": {\"scale_by\": 0.75, \"images\": [\"51\", 0]}}, \"53\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"51\", 0]}}, \"54\": {\"class_type\": \"Image Comparer (rgthree)\", \"inputs\": {\"image_a\": [\"51\", 0], \"image_b\": [\"42\", 0]}}, \"60\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"upscale_by\": 2.0, \"seed\": 7, \"steps\": 4, \"denoise\": 0.35, \"image\": [\"52\", 0], \"model\": [\"1\", 0], \"positive\": [\"35\", 0], \"negative\": [\"33\", 0], \"vae\": [\"3\", 0]}}, \"61\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"flux\", \"images\": [\"60\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "zeroed-conditioning", "status": "resolved", "text": ""}, "positive": {"source": "runtime-parts-omitted-and-added-conditioning", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "A later stage adds conditioning to the base prompt", "reason_code": null, "sampler_id": "50", "state": "resolved"}}, "name": "select-runtime-flux-trigger", "records": {"prompt": "{\"1\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"flux\"}}, \"2\": {\"class_type\": \"DualCLIPLoader\", \"inputs\": {\"type\": \"flux\"}}, \"3\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"ae\"}}, \"30\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": [\"8\", 0], \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"32\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"2\", 0]}}, \"33\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"32\", 0]}}, \"34\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"30\", 0]}}, \"35\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"30\", 0], \"conditioning_2\": [\"31\", 0]}}, \"36\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1080, \"height\": 1920, \"batch_size\": 4}}, \"40\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"36\", 0]}}, \"41\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"40\", 0], \"vae\": [\"3\", 0]}}, \"42\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"images\": [\"41\", 0]}}, \"43\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"42\", 0]}}, \"44\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"42\", 0], \"vae\": [\"3\", 0]}}, \"50\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"44\", 0]}}, \"51\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"50\", 0], \"vae\": [\"3\", 0]}}, \"52\": {\"class_type\": \"ImageScaleDownBy\", \"inputs\": {\"scale_by\": 0.75, \"images\": [\"51\", 0]}}, \"53\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"51\", 0]}}, \"54\": {\"class_type\": \"Image Comparer (rgthree)\", \"inputs\": {\"image_a\": [\"51\", 0], \"image_b\": [\"42\", 0]}}, \"60\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"upscale_by\": 2.0, \"seed\": 7, \"steps\": 4, \"denoise\": 0.35, \"image\": [\"52\", 0], \"model\": [\"1\", 0], \"positive\": [\"35\", 0], \"negative\": [\"33\", 0], \"vae\": [\"3\", 0]}}, \"61\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"flux\", \"images\": [\"60\", 0]}}, \"7\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"model\": [\"1\", 0], \"clip\": [\"2\", 0], \"text\": \"x\"}}, \"8\": {\"class_type\": \"TriggerWord Toggle (LoraManager)\", \"inputs\": {\"group_mode\": true, \"default_active\": true, \"toggle_trigger_words\": {\"__value__\": [{\"text\": \"trig9word\", \"active\": true}]}, \"orinalMessage\": \"trig9word\", \"trigger_words\": [\"7\", 2]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-runtime-flux-custom-advanced-chained", "records": {"prompt": "{\"1\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"flux\"}}, \"2\": {\"class_type\": \"DualCLIPLoader\", \"inputs\": {\"type\": \"flux\"}}, \"3\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"ae\"}}, \"30\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"32\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"2\", 0]}}, \"33\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"32\", 0]}}, \"34\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"30\", 0]}}, \"35\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"30\", 0], \"conditioning_2\": [\"31\", 0]}}, \"36\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1080, \"height\": 1920, \"batch_size\": 4}}, \"40\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"36\", 0]}}, \"41\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"40\", 0], \"vae\": [\"3\", 0]}}, \"42\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"images\": [\"41\", 0]}}, \"43\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"42\", 0]}}, \"44\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"42\", 0], \"vae\": [\"3\", 0]}}, \"50\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"44\", 0]}}, \"51\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"50\", 0], \"vae\": [\"3\", 0]}}, \"52\": {\"class_type\": \"ImageScaleDownBy\", \"inputs\": {\"scale_by\": 0.75, \"images\": [\"51\", 0]}}, \"53\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"51\", 0]}}, \"54\": {\"class_type\": \"Image Comparer (rgthree)\", \"inputs\": {\"image_a\": [\"51\", 0], \"image_b\": [\"42\", 0]}}, \"60\": {\"class_type\": \"SamplerCustomAdvanced\", \"inputs\": {\"guider\": [\"63\", 0], \"latent_image\": [\"66\", 0]}}, \"61\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"flux\", \"images\": [\"67\", 0]}}, \"63\": {\"class_type\": \"CFGGuider\", \"inputs\": {\"positive\": [\"35\", 0], \"negative\": [\"33\", 0]}}, \"66\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"51\", 0]}}, \"67\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"60\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "embedded-parameters", "status": "resolved", "text": "blur"}, "positive": {"source": "embedded-parameters", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "parameters-basic", "records": {"parameters": "a fox\nNegative prompt: blur\nSteps: 20, Sampler: euler, CFG scale: 7"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "absent", "text": null}, "positive": {"source": "embedded-parameters", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "Negative prompt delimiter is absent", "reason_code": null, "sampler_id": null, "state": "absent"}}, "name": "parameters-no-negative", "records": {"parameters": "a fox\nSteps: 20, Sampler: euler, CFG scale: 7"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple negative prompt delimiters", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "parameters-two-delimiters", "records": {"parameters": "a\nNegative prompt: b\nNegative prompt: c\nSteps: 20, Sampler: euler, CFG scale: 7"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": null, "state": "unresolved"}}, "name": "parameters-leading-delimiter", "records": {"parameters": "Negative prompt: blur\nSteps: 20, Sampler: euler, CFG scale: 7"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": null, "state": "unresolved"}}, "name": "parameters-blank-positive", "records": {"parameters": " …\nNegative prompt: blur\nSteps: 20, Sampler: euler, CFG scale: 7"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "parameters-footer-not-last", "records": {"parameters": "a fox\nSteps: 20, Sampler: euler, CFG scale: 7\nmore text"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "parameters-two-footers", "records": {"parameters": "a\nSteps: 20, Sampler: euler, CFG scale: 7\nSteps: 20, Sampler: euler, CFG scale: 7"}}, {"evidence": {"prompts": {"negative": {"source": "embedded-parameters", "status": "resolved", "text": "blur"}, "positive": {"source": "embedded-parameters", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "parameters-bare-footer", "records": {"parameters": "a fox\nNegative prompt: blur\nSteps: 20"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "absent", "text": null}, "positive": {"source": "embedded-parameters", "status": "resolved", "text": "a fox\nSteps: 5"}}, "resolution": {"node": null, "reason": "Negative prompt delimiter is absent", "reason_code": null, "sampler_id": null, "state": "absent"}}, "name": "parameters-bare-and-full", "records": {"parameters": "a fox\nSteps: 5\nSteps: 20, Sampler: euler, CFG scale: 7"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "parameters-two-bare", "records": {"parameters": "a\nSteps: 1\nSteps: 2"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "absent", "text": null}, "positive": {"source": "embedded-parameters", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "Negative prompt delimiter is absent", "reason_code": null, "sampler_id": null, "state": "absent"}}, "name": "parameters-template", "records": {"parameters": "a fox\nSteps: 20, Sampler: euler, CFG scale: 7\nTemplate: {a|b}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "absent", "text": null}, "positive": {"source": "embedded-parameters", "status": "resolved", "text": "a"}}, "resolution": {"node": null, "reason": "Negative prompt delimiter is absent", "reason_code": null, "sampler_id": null, "state": "absent"}}, "name": "parameters-both-templates", "records": {"parameters": "a\nSteps: 20, Sampler: euler, CFG scale: 7\nTemplate: x\nNegative Template: y"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "parameters-templates-reversed", "records": {"parameters": "a\nSteps: 20, Sampler: euler, CFG scale: 7\nNegative Template: y\nTemplate: x"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "parameters-two-templates", "records": {"parameters": "a\nSteps: 20, Sampler: euler, CFG scale: 7\nTemplate: x\nTemplate: y"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "parameters-template-multiline", "records": {"parameters": "a\nSteps: 20, Sampler: euler, CFG scale: 7\nTemplate: x\nmore"}}, {"evidence": {"prompts": {"negative": {"source": "embedded-parameters", "status": "resolved", "text": "blur"}, "positive": {"source": "embedded-parameters", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "parameters-crlf", "records": {"parameters": "a fox\r\nNegative prompt: blur\r\nSteps: 20, Sampler: euler, CFG scale: 7\r\n"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "parameters-cr-only", "records": {"parameters": "a fox\rNegative prompt: blur\rSteps: 20, Sampler: euler, CFG scale: 7"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "absent", "text": null}, "positive": {"source": "embedded-parameters", "status": "resolved", "text": "a"}}, "resolution": {"node": null, "reason": "Negative prompt delimiter is absent", "reason_code": null, "sampler_id": null, "state": "absent"}}, "name": "parameters-cr-template", "records": {"parameters": "a\nSteps: 20, Sampler: euler, CFG scale: 7\rTemplate: x"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "parameters-line-separator", "records": {"parameters": "a fox
Steps: 20, Sampler: euler, CFG scale: 7"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "parameters-next-line", "records": {"parameters": "a fox…Steps: 20, Sampler: euler, CFG scale: 7"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "absent", "text": null}, "positive": {"source": "embedded-parameters", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "Negative prompt delimiter is absent", "reason_code": null, "sampler_id": null, "state": "absent"}}, "name": "parameters-spaced-steps", "records": {"parameters": "a fox\nSteps:\n 20 \n, x"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "absent", "text": null}, "positive": {"source": "embedded-parameters", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "Negative prompt delimiter is absent", "reason_code": null, "sampler_id": null, "state": "absent"}}, "name": "parameters-steps-newline-bare", "records": {"parameters": "a fox\nSteps:\n20\n"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "absent", "text": null}, "positive": {"source": "embedded-parameters", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "Negative prompt delimiter is absent", "reason_code": null, "sampler_id": null, "state": "absent"}}, "name": "parameters-arabic-digits", "records": {"parameters": "a fox\nSteps: ٢٠, Sampler: euler"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "absent", "text": null}, "positive": {"source": "embedded-parameters", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "Negative prompt delimiter is absent", "reason_code": null, "sampler_id": null, "state": "absent"}}, "name": "parameters-fullwidth-digits", "records": {"parameters": "a fox\nSteps: 2, x"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "parameters-no-digits", "records": {"parameters": "a fox\nSteps: , x"}}, {"evidence": {"prompts": {"negative": {"source": "embedded-parameters", "status": "resolved", "text": "blur"}, "positive": {"source": "embedded-parameters", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "parameters-trailing-spaces", "records": {"parameters": "a fox \nNegative prompt: blur \nSteps: 20, Sampler: euler, CFG scale: 7 \n \n"}}, {"evidence": {"prompts": {"negative": {"source": "embedded-parameters", "status": "resolved", "text": ""}, "positive": {"source": "embedded-parameters", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "parameters-empty-negative", "records": {"parameters": "a fox\nNegative prompt:\nSteps: 20, Sampler: euler, CFG scale: 7"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "absent", "text": null}, "positive": {"source": null, "status": "absent", "text": null}}, "resolution": {"node": null, "reason": "No A1111 parameters", "reason_code": null, "sampler_id": null, "state": "absent"}}, "name": "parameters-empty", "records": {"parameters": ""}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": null, "state": "unresolved"}}, "name": "parameters-only-footer", "records": {"parameters": "Steps: 20, Sampler: euler, CFG scale: 7"}}, {"evidence": {"prompts": {"negative": {"source": "embedded-parameters", "status": "resolved", "text": "blur"}, "positive": {"source": "embedded-parameters", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "parameters-with-execution", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {}}", "parameters": "a fox\nNegative prompt: blur\nSteps: 20, Sampler: euler, CFG scale: 7"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "
   café\u001csnow"}}, "resolution": {"node": {"class_type": "ConditioningCombine", "id": "102"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-0", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"103\": {\"records\": [{\"text\": \"\\u001csnow \", \"negative_text\": \"\\u0085\\u2028 detailed fur\", \"prepend_text\": \"\\u732b\", \"append_text\": \"\\ud83d\\ude00\", \"positive_text\": \"snow\\u3000\", \"negative_effective_text\": \"\\u0085\\u2028 detailed fur\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": \"
  \", \"prepend_text\": \"\\u001c…\", \"append_text\": \"\\ncafé\\u001csnow\", \"clip\": [\"4\", 1]}}, \"103\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u001csnow \", \"negative_text\": \"…
 detailed fur\", \"prepend_text\": \"…猫
 \", \"append_text\": \"
 😀\"}}, \"105\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \"…snow\\n\", \"prepend_text\": \"\\n猫\\t\", \"negative_text\": \"snow \"}}, \"104\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"105\", 0]}}, \"102\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"103\", 0], \"conditioning_2\": [\"104\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "zeroed-conditioning", "status": "resolved", "text": ""}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "猫, snow"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "fuzz-0-1", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": \"\\u001csnow
 \", \"prepend_text\": \"
 猫
 \", \"negative_text\": \"snow \"}}, \"105\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u001c café\", \"clip\": [\"4\", 1]}}, \"104\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"105\", 0]}}, \"103\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"104\", 0]}}, \"102\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"103\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Expected a typed graph link or text input", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-2", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"106\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"105\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \" a, \"}}, \"104\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"105\", 0]}}, \"103\": {\"class_type\": \"TextInput\", \"inputs\": {\"text\": [\"104\", 0]}}, \"102\": {\"class_type\": \"TextInput\", \"inputs\": {\"string\": [\"103\", 0]}}, \"101\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"102\", 0], \"text_l\": \"\"}}, \"108\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\t猫\", \"clip\": [\"4\", 1]}}, \"109\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"snow\\n\"}}, \"107\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 1], \"on_true\": [\"108\", 0], \"on_false\": [\"109\", 0]}}, \"111\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"…snow\", \"text_l\": \"…snow\"}}, \"110\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"111\", 0]}}, \"106\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": false, \"on_true\": [\"107\", 0], \"on_false\": [\"110\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "café, 😀"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "café, snow\u001c \tfox
  猫"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "fuzz-0-3", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"105\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \"\\nsnow\\u001c\", \"string_b\": \"\\tfox\\u2028 \", \"delimiter\": \" \"}}, \"103\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": [\"104\", 0], \"string_b\": \"\\u3000\\u732b\\u001c\", \"delimiter\": \" \"}}, \"102\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": [\"103\", 0]}}, \"101\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": [\"102\", 0], \"prepend_text\": \"\\ufeffcaf\\u00e9\\n\", \"negative_text\": \"caf\\u00e9\\t\"}}, \"106\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": \"\\u3000\\ud83d\\ude00\\u0085\", \"prepend_text\": \"\\u001ccaf\\u00e9\\u2028 \", \"negative_text\": \"\\ufeffsnow\\u0085\"}}, \"105\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"106\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Missing or malformed graph node", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-4", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"107\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"StringConcatenate\"}, \"105\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_a\": \"\\t\\u2028 \", \"text_b\": \"\\u2028 fox\", \"clean_whitespace\": \"false\"}}, \"106\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": \"\\nsnow\\t\"}}, \"103\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_c\": [\"104\", 0], \"text_b\": [\"105\", 0], \"text_d\": [\"106\", 0], \"clean_whitespace\": \"false\"}}, \"102\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"103\", 0]}}, \"101\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": [\"102\", 0], \"prepend_text\": \"\\u3000a,fox\", \"negative_text\": \"\\u2028 snow\\n\\u732b\"}}, \"110\": {\"class_type\": \"StringConstant\", \"inputs\": {\"string\": \"\\u001c \"}}, \"109\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"110\", 0], \"text_l\": [\"110\", 0]}}, \"108\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"109\", 0]}}, \"111\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \" caf\\u00e9\\u001c\"}}, \"107\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"108\", 0], \"conditioning_2\": [\"111\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Selector branches have different prompts", "reason_code": null, "sampler_id": "3", "state": "ambiguous"}}, "name": "fuzz-0-5", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"112\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"\\ufeffdetailed fur\\u0085\", \"prepend_text\": \"\\t\\u732b\\u3000\", \"append_text\": \"caf\\u00e9\\ta,\"}}, \"103\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"104\", 0], \"clip\": [\"4\", 1]}}, \"102\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"103\", 0]}}, \"107\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u001ccaf\\u00e9\\t\", \"clip\": [\"4\", 1]}}, \"109\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u0085detailed fur\\u2028 snow\", \"clip\": [\"4\", 1]}}, \"108\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"109\", -1], \"conditioning_2\": [\"109\", -1]}}, \"106\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": true, \"on_true\": [\"107\", 0], \"on_false\": [\"108\", 0]}}, \"111\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u001ccaf\\u00e9\\u2028 \", \"clip\": [\"4\", 1]}}, \"110\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"111\", 0]}}, \"105\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": true, \"on_true\": [\"106\", 0], \"on_false\": [\"110\", 0]}}, \"101\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 0], \"on_true\": [\"102\", 0], \"on_false\": [\"105\", 0]}}, \"113\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"\\ufeff\\u0085\", \"prepend_text\": \"\\u0085snow\\ufeff\", \"append_text\": \"\\u3000fox\\u001c\", \"clip\": [\"4\", 1]}}, \"114\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\tdetailed fur snow\"}}, \"112\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 0], \"on_true\": [\"113\", 0], \"on_false\": [\"114\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "a, 猫\t"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "…猫\u001c"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "fuzz-0-6", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 1], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\ufeff\\n\", \"negative_text\": \"\\u0085\\u732b\\u001c\", \"prepend_text\": \"\\tdetailed fur\\n\", \"append_text\": \" fox\\u2028 \"}}, \"102\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": \"\\u732b\\t\", \"prepend_text\": \"\\u3000a,\\u2028 \", \"append_text\": \" \\t\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "😀"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "\n猫"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "fuzz-0-7", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 1], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"…\", \"negative_text\": \"\\n猫\", \"prepend_text\": \"…a,\", \"append_text\": \"\\u001ccafé \"}}, \"103\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"😀\"}}, \"102\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"103\", 0], \"text_l\": [\"103\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (FancyEncoder).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support (FancyEncoder).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "FancyEncoder", "id": "101"}, "reason": "Unsupported node semantics or output slot", "reason_code": "unsupported-node", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-8", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"…detailed fur
 \"}}, \"102\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \" 猫\\u001c\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "fox, snow  detailed fur café"}}, "resolution": {"node": null, "reason": "Missing or malformed graph node", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-9", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"105\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"…snow\", \"string_3\": \" detailed fur café\", \"inputcount\": 3, \"delimiter\": \" \", \"return_list\": false}}, \"103\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": [\"104\", 0]}}, \"102\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": [\"103\", 0], \"strip_newlines\": false}}, \"101\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": [\"102\", 0], \"prepend_text\": \"fox\", \"negative_text\": \"snow\\t\"}}, \"106\": {\"class_type\": \"TextInput\"}, \"105\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"106\", 0], \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (FancyEncoder).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support (FancyEncoder).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "FancyEncoder", "id": "101"}, "reason": "Unsupported node semantics or output slot", "reason_code": "unsupported-node", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-10", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"\\ndetailed fur\\ufefffox\"}}, \"105\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"detailed fur\\ufeff\", \"strip_newlines\": true}}, \"104\": {\"class_type\": \"TextInput\", \"inputs\": {\"string\": [\"105\", 0]}}, \"107\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": \"\\u001cfox\\u2028 \"}}, \"108\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\nsnow\\u2028 \", \"strip_newlines\": false}}, \"106\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": [\"107\", 0], \"string_b\": [\"108\", 0], \"delimiter\": \" \"}}, \"103\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": [\"104\", 0], \"string_2\": [\"106\", 0], \"inputcount\": 2, \"delimiter\": \",\", \"return_list\": false}}, \"102\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": [\"103\", 0], \"prepend_text\": \"\\tdetailed fur\\u3000\", \"negative_text\": \" detailed fur caf\\u00e9\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Cyclic prompt graph", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-11", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \"\\u0085snow \", \"string_b\": \"a,\\u0085\\u732b\", \"delimiter\": \", \"}}, \"103\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"104\", 0]}}, \"102\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": [\"102\", 0]}}, \"101\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": [\"102\", 0], \"prepend_text\": \" caf\\u00e9\\nsnow\", \"negative_text\": \"\\ud83d\\ude00\\u0085\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Missing or malformed graph node", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-12", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"105\": {\"class_type\": \"PrimitiveString\"}, \"104\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"105\", 0]}}, \"103\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"104\", 0], \"clip\": [\"4\", 1]}}, \"102\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"103\", 0]}}, \"101\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"102\", 0], \"conditioning_2\": [\"102\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Missing or malformed graph node", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-13", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"107\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\"}, \"105\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\ncaf\\u00e9\\u001c\", \"clip\": [\"4\", 1]}}, \"106\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"caf\\u00e9\", \"clip\": [\"4\", 1]}}, \"104\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": false, \"on_true\": [\"105\", 0], \"on_false\": [\"106\", 0]}}, \"103\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"104\", 0]}}, \"102\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"103\", 0]}}, \"101\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"102\", 0]}}, \"110\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \"\\tsnow\\u001ccaf\\u00e9\", \"string_b\": \"\\ufeffdetailed fur\\t\", \"delimiter\": \", \"}}, \"109\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_d\": \"\\ufeffa,\\u2028 detailed fur\", \"text_b\": \"\\u0085\\n\", \"text_c\": [\"110\", 0], \"clean_whitespace\": \"true\"}}, \"108\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"109\", 0], \"prepend_text\": \"\\n\\u0085\", \"append_text\": \"\\ta,\\ufeff\", \"clip\": [\"4\", 1]}}, \"107\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"108\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Missing or malformed graph node", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-14", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\"}, \"101\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \"\\u001csnow\\u001c\", \"prepend_text\": \"\\tdetailed fur\\ufeff\", \"negative_text\": \"\\ndetailed fur\\u001c\"}}, \"103\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\ud83d\\ude00\\u3000\"}}, \"104\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": \"\\u001ca,\\u001c\", \"prepend_text\": \"\\nsnow\\ud83d\\ude00\", \"append_text\": \"\\u001ca, \", \"clip\": [\"4\", 1]}}, \"102\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"103\", 0], \"conditioning_2\": [\"104\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "ConditioningCombine", "id": "101"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-15", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"103\": {\"records\": [{\"text\": \"\\u2028 \\u732b\\u2028 detailed fur\", \"negative_text\": \"\\u001c\\ud83d\\ude00\\ufeff\", \"prepend_text\": \"caf\\u00e9\", \"append_text\": \"detailed fur\\ufeff\\ud83d\\ude00\", \"positive_text\": \"\\ufeffdetailed fur\\n\", \"negative_effective_text\": \"\\u001c\\ud83d\\ude00\\ufeff\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"105\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u2028 \\u732b\\u2028 detailed fur\", \"negative_text\": \"\\u001c\\ud83d\\ude00\\ufeff\", \"prepend_text\": \"\\tcaf\\u00e9 \", \"append_text\": \"\\u3000detailed fur\\ufeff\\ud83d\\ude00\"}}, \"102\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"103\", 0], \"conditioning_2\": [\"103\", 0]}}, \"104\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\t\", \"clip\": [\"4\", 1]}}, \"101\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"102\", 0], \"conditioning_2\": [\"104\", 0]}}, \"108\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \"\\u3000fox\\u0085fox\", \"string_b\": \"\\u001c\\ud83d\\ude00\\n\\ud83d\\ude00\", \"delimiter\": \"\"}}, \"107\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": [\"108\", 0], \"string_b\": \"\\ufeffa,\\u3000detailed fur\", \"delimiter\": \" \"}}, \"106\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": [\"107\", 0], \"prepend_text\": \"\\u3000caf\\u00e9\\ufeff\", \"append_text\": \"\\ta,\\tcaf\\u00e9\", \"clip\": [\"4\", 1]}}, \"110\": {\"class_type\": \"TextInput\", \"inputs\": {\"text\": \"\\n\\u732b\\ufeff\"}}, \"109\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": [\"110\", 0], \"prepend_text\": \"detailed fursnow\", \"negative_text\": \"\\ta,\"}}, \"105\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 1], \"on_true\": [\"106\", 0], \"on_false\": [\"109\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (Unknown).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support (Unknown).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "Unknown", "id": "104"}, "reason": "Unsupported node semantics or output slot", "reason_code": "unsupported-node", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-16", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"105\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"Unknown\", \"inputs\": {\"string_1\": \" \", \"string_2\": \"
 detailed fur\", \"string_3\": \"\\na,\\u001cfox\", \"inputcount\": 3, \"delimiter\": \" \", \"return_list\": false}}, \"103\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"104\", 0], \"text_l\": [\"104\", 0]}}, \"102\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"103\", 0]}}, \"101\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"102\", 0], \"conditioning_2\": [\"102\", 0]}}, \"106\": {\"class_type\": \"StringConstant\", \"inputs\": {\"text\": \" snow…\"}}, \"105\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": [\"106\", 0], \"prepend_text\": \"a,\\u001cfox\", \"append_text\": \"\\na, a,\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "ConditioningCombine", "id": "102"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-17", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"103\": {\"records\": [{\"text\": \"\\u001c\\u0085\", \"negative_text\": \"\\nfox\\u001c\", \"prepend_text\": \"fox\\ufeff\", \"append_text\": \"\\ufefffox\", \"positive_text\": \" snow caf\\u00e9\", \"negative_effective_text\": \"\\nfox\\u001c\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"107\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u001c\\u0085\", \"negative_text\": \"\\nfox\\u001c\", \"prepend_text\": \" fox\\ufeff\", \"append_text\": \"\\ufefffox\\u3000\"}}, \"105\": {\"class_type\": \"StringConstant\", \"inputs\": {\"string\": \"\\n\\n\\ud83d\\ude00\"}}, \"104\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": [\"105\", 0], \"prepend_text\": \"\\u0085a,\\u3000\\ud83d\\ude00\", \"negative_text\": \"\\u2028 \\u732b\\u001c\"}}, \"102\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"103\", 1], \"conditioning_2\": [\"104\", 0]}}, \"106\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \"snow detailed fur\", \"prepend_text\": \"\\n\\u732b\\u001c\", \"negative_text\": \"detailed fur\\ud83d\\ude00\"}}, \"101\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"102\", 0]}}, \"109\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"\\n\\u732b \"}}, \"110\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"\\na,\\ufeffcaf\\u00e9\"}}, \"108\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": false, \"on_true\": [\"109\", 0], \"on_false\": [\"110\", 0]}}, \"107\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"108\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (PromptSearchList).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt is chosen at run time (PromptSearchList).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "PromptSearchList", "id": "101"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-18", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\tdetailed fur\\t\"}}, \"102\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\n\\ncaf\\u00e9\", \"text_l\": \"\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (PromptSearchList).", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a, detailed fur, café"}}, "resolution": {"node": {"class_type": "PromptSearchList", "id": "105"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-19", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"105\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \"\\ncafé\", \"prepend_text\": \"a, detailed fur\", \"negative_text\": \"\\na,\\u001c\"}}, \"104\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"…猫…\", \"clip\": [\"4\", 1]}}, \"102\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 1], \"on_true\": [\"103\", 0], \"on_false\": [\"104\", 0]}}, \"101\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"102\", 0]}}, \"105\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\u001ca,\\t\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (PromptSearchList).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt is chosen at run time (PromptSearchList).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "PromptSearchList", "id": "101"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-20", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\u0085fox\\ufeff\"}}, \"102\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u0085snow\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-21", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \"\\u001ccaf\\u00e9\\u0085\", \"prepend_text\": \"\\u3000detailed fur\", \"negative_text\": \"\\u001c\"}}, \"101\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"102\", 0]}}, \"103\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"\\tcaf\\u00e9 \", \"prepend_text\": \"\\t\\u732b\", \"append_text\": \"\\tcaf\\u00e9 \", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (FancyEncoder).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support (FancyEncoder).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "FancyEncoder", "id": "101"}, "reason": "Unsupported node semantics or output slot", "reason_code": "unsupported-node", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-22", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"\\tfox\\u001c\"}}, \"103\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": \"\\u001ccaf\\u00e9\\ufeffa,\"}}, \"102\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": [\"103\", 0], \"prepend_text\": \"\\tdetailed fur\\u0085\", \"append_text\": \"\\u3000fox\\u001c\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "\u001c😀…"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "foxfox, \u001c猫
 "}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "fuzz-0-23", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"104\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \"\\ufefffoxfox\", \"string_b\": \"\\u001c\\u732b\\u2028 \", \"delimiter\": \", \"}}, \"102\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": [\"103\", 0], \"inputcount\": 1, \"delimiter\": \",\", \"return_list\": false}}, \"101\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"102\", 0], \"clip\": [\"4\", 1]}}, \"106\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"\\tcaf\\u00e9\\u0085\"}}, \"105\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"106\", 0]}}, \"110\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"\\u001c\\ud83d\\ude00\\u0085\"}}, \"109\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"110\", 0]}}, \"108\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": [\"109\", 0]}}, \"107\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"108\", 0], \"clip\": [\"4\", 1]}}, \"104\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": false, \"on_true\": [\"105\", 0], \"on_false\": [\"107\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-24", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"104\", 1], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": \"\\u001c\"}}, \"102\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"103\", 0], \"clip\": [\"4\", 1]}}, \"101\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"102\", 0]}}, \"104\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u001ccafé
 café\", \"negative_text\": \" detailed fur 😀\", \"prepend_text\": \"detailed fur\\u001c\", \"append_text\": \"
 a,…detailed fur\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (FancyEncoder).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support (FancyEncoder).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "FancyEncoder", "id": "102"}, "reason": "Unsupported node semantics or output slot", "reason_code": "unsupported-node", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-25", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"…\"}}, \"101\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"102\", 0]}}, \"105\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\t猫…\", \"clip\": [\"4\", 1]}}, \"104\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"105\", 0]}}, \"103\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"104\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-26", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"106\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"105\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\tdetailed fur \", \"clip\": [\"4\", 1]}}, \"104\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"105\", 0], \"conditioning_2\": [\"105\", 0]}}, \"103\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"104\", 0]}}, \"102\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"103\", 0]}}, \"101\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"102\", 0]}}, \"106\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\ncaf\\u00e9\\ufeff\", \"negative_text\": \"\\u3000detailed fur\\u001ca,\", \"prepend_text\": \"\\u0085snow\\u001cfox\", \"append_text\": \"\\u001c\\u732b\\u3000\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Missing or malformed graph node", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-27", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"106\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"105\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"a, \"}}, \"104\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"105\", 0]}}, \"103\": {\"class_type\": \"Text Concatenate\", \"inputs\": []}, \"102\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"103\", 0]}}, \"101\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"102\", 0], \"clip\": [\"4\", 1]}}, \"106\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\tdetailed fur\\u001c\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Missing or malformed graph node", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-28", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\"}, \"101\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"
 detailed fur\\t\", \"negative_text\": \" snow
 😀\", \"prepend_text\": \"\\n😀…\", \"append_text\": \"\\u001c😀
 \"}}, \"102\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": \"\\tfox…\", \"prepend_text\": \" 猫\", \"negative_text\": \"café…\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-29", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 1], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"snow \", \"negative_text\": \"\\u0085\\u0085\", \"prepend_text\": \"\\u2028 a, fox\", \"append_text\": \"\\tcaf\\u00e9\"}}, \"102\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\u001cdetailed fur\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "fox…detailed fur \u001c猫 snow a,"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a,\u001c"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "fuzz-0-30", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"a,\\u001c\", \"text_l\": \"a,\\u001c\"}}, \"102\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"\\u001c猫 snow\", \"prepend_text\": \" fox…detailed fur\", \"append_text\": \"a,\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Expected a typed graph link or text input", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-31", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"106\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \"\\u0085a, \", \"string_b\": \"caf\\u00e9\\u2028 \", \"delimiter\": \", \"}}, \"105\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": \"\\u0085caf\\u00e9\\u2028 \"}}, \"103\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": [\"104\", 0], \"string_b\": [\"105\", 0], \"delimiter\": \"\"}}, \"102\": {\"class_type\": \"TextInput\", \"inputs\": {\"string\": [\"103\", 0]}}, \"101\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": [\"102\", 0], \"prepend_text\": \"\\tcaf\\u00e9\\n\", \"negative_text\": \"\\u0085fox\\ufeff\"}}, \"106\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"\\u001ca,\\t\", \"prepend_text\": \"\\u0085\\u732b\\t\", \"append_text\": \"\\ufeffa,\\t\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (FancyEncoder).", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "foxsnow"}}, "resolution": {"node": {"class_type": "FancyEncoder", "id": "105"}, "reason": "Unsupported node semantics or output slot", "reason_code": "unsupported-node", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-32", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"104\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_a\": \"…foxsnow\", \"clean_whitespace\": true}}, \"102\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"103\", 0], \"clip\": [\"4\", 1]}}, \"101\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"102\", 0]}}, \"105\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"detailed fur \"}}, \"104\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"105\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "fox fox 猫 café…fox …a,\t fox café\ta, snow"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "snow, fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "fuzz-0-33", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"103\": {\"records\": [{\"text\": \" caf\\u00e9\\u3000!\", \"negative_text\": \"\\u0085snow\\u3000\", \"prepend_text\": \"detailed fur\", \"append_text\": \"\", \"positive_text\": \"\\u001c\\ud83d\\ude00\\u2028 \", \"negative_effective_text\": \"\\u0085snow\\u3000\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"106\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \" café \", \"negative_text\": \"…snow \", \"prepend_text\": \"\\n detailed fur\", \"append_text\": \"\\n \"}}, \"105\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": \"\\u001cfox…\", \"prepend_text\": \" snow
 \", \"negative_text\": \"café detailed fur\"}}, \"104\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"105\", 0]}}, \"102\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": false, \"on_true\": [\"103\", 1], \"on_false\": [\"104\", 0]}}, \"101\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"102\", 0]}}, \"109\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_c\": \"…a,\\t\", \"text_d\": \"fox\\n\", \"text_a\": \"\\u001ccafé…fox\", \"clean_whitespace\": \"false\"}}, \"108\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_c\": [\"109\", 0], \"clean_whitespace\": true}}, \"107\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": [\"108\", 0], \"prepend_text\": \" fox 猫\", \"append_text\": \"…café\\ta,\"}}, \"106\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"107\", 0], \"prepend_text\": \"\\tfox \", \"append_text\": \"snow \", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-34", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"111\": {\"records\": [{\"text\": \"\\nsnow\\u001c\", \"negative_text\": \"\\tdetailed fur \", \"prepend_text\": \"snow\", \"append_text\": \"\\ufeffa,\", \"positive_text\": \"\\u001c\\n\", \"negative_effective_text\": \"\\tdetailed fur \"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"106\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"105\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\nfox\\u2028 \", \"clip\": [\"4\", 1]}}, \"104\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"105\", 0]}}, \"103\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"104\", 0]}}, \"102\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"103\", 0]}}, \"101\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"102\", 0]}}, \"109\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": \"\\ta,\\u2028 \", \"prepend_text\": \"\\u2028 caf\\u00e9\\u3000\", \"append_text\": \"\\u2028 \\ud83d\\ude00\\n\", \"clip\": [\"4\", 1]}}, \"110\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": \"\\u3000\\u2028 \", \"prepend_text\": \"\\u3000detailed fur \", \"append_text\": \"\\tcaf\\u00e9\", \"clip\": [\"4\", 1]}}, \"108\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": true, \"on_true\": [\"109\", 0], \"on_false\": [\"110\", 0]}}, \"111\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\nsnow\\u001c\", \"negative_text\": \"\\tdetailed fur \", \"prepend_text\": \"snow\\u0085\", \"append_text\": \"\\ufeffa, \"}}, \"107\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"108\", 0], \"conditioning_2\": [\"111\", 0]}}, \"106\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"107\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "\t😀\t"}, "positive": {"source": "execution", "status": "resolved", "text": "fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "fuzz-0-35", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"101\": {\"records\": [{\"text\": \"caf\\u00e9\\u2028 \", \"negative_text\": \"\\n\\u3000caf\\u00e9\", \"prepend_text\": \"caf\\u00e9\\ufeff\", \"append_text\": \"snow\", \"positive_text\": \"\\ufefffox\\ufeff\", \"negative_effective_text\": \"\\n\\u3000caf\\u00e9\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 1], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"caf\\u00e9\\u2028 \", \"negative_text\": \"\\n\\u3000caf\\u00e9\", \"prepend_text\": \"\\u3000caf\\u00e9\\ufeff\", \"append_text\": \"\\u3000snow\\u3000\"}}, \"102\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\ufeff\\ud83d\\ude00\\ta,\", \"negative_text\": \"\\t\\ud83d\\ude00\\t\", \"prepend_text\": \" \\u3000\", \"append_text\": \"\\u3000snow\\u001c\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (CLIPTextEncodeSDXL).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (CLIPTextEncodeSDXL).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "CLIPTextEncodeSDXL", "id": "101"}, "reason": "Encoder parts have different texts", "reason_code": "composite", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-36", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"café
 fox\", \"text_l\": \"
 \"}}, \"103\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\n猫\"}}, \"107\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"…\", \"clip\": [\"4\", 1]}}, \"106\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"107\", 0]}}, \"109\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \" 😀 a,\", \"clip\": [\"4\", 1]}}, \"110\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \" café\\n猫\", \"clip\": [\"4\", 1]}}, \"108\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": true, \"on_true\": [\"109\", 0], \"on_false\": [\"110\", 0]}}, \"105\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"106\", 0], \"conditioning_2\": [\"108\", 0]}}, \"111\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \"\\tsnow \", \"prepend_text\": \"猫…\", \"negative_text\": \"…detailed fur\\u001c\"}}, \"104\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"105\", 0], \"conditioning_2\": [\"111\", 0]}}, \"102\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": true, \"on_true\": [\"103\", 0], \"on_false\": [\"104\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "…猫\t"}}, "resolution": {"node": null, "reason": "Execution evidence does not match recorded node inputs", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-37", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"104\": {\"records\": [{\"text\": \"\\ndetailed fur\\u2028 !\", \"negative_text\": \"\\na,\\u2028 \", \"prepend_text\": \"\", \"append_text\": \"detailed fur\", \"positive_text\": \" \\ud83d\\ude00\\n\", \"negative_effective_text\": \"\\na,\\u2028 \"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"104\", 1], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": null, \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"\\u0085\\u732b\\t\", \"inputcount\": 1, \"delimiter\": \",\", \"return_list\": false}}, \"102\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"103\", 0], \"text_l\": [\"103\", 0]}}, \"101\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"102\", 0], \"conditioning_2\": [\"102\", 0]}}, \"104\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\ndetailed fur\\u2028 \", \"negative_text\": \"\\na,\\u2028 \", \"prepend_text\": \" \\u0085\", \"append_text\": \"\\ndetailed fur\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "
 fox\t猫"}}, "resolution": {"node": null, "reason": "Missing or malformed graph node", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-38", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u2028 fox\\t\\u732b\", \"clip\": [\"4\", 1]}}, \"105\": {\"class_type\": \"TextInput\", \"inputs\": {\"string\": \"\\u3000\\u732b\\u3000\"}}, \"104\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": [\"105\", 0], \"strip_newlines\": true}}, \"103\": {\"class_type\": \"StringConstant\", \"inputs\": {\"string\": [\"104\", 0]}}, \"102\": {\"class_type\": \"PromptManagerV2\"}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (Unknown).", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "
 snow
 \t"}}, "resolution": {"node": {"class_type": "Unknown", "id": "105"}, "reason": "Unsupported node semantics or output slot", "reason_code": "unsupported-node", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-39", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"105\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"\\u2028 snow\\u2028 \"}}, \"103\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"104\", 0]}}, \"102\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_b\": [\"103\", 0], \"text_c\": \"\\ufeff\\t\", \"clean_whitespace\": \"false\"}}, \"101\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"102\", 0], \"clip\": [\"4\", 1]}}, \"108\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\ufeff\\u732b\\u0085\", \"strip_newlines\": false}}, \"107\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"108\", 0]}}, \"106\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": [\"107\", 0], \"prepend_text\": \"\", \"append_text\": \"\\ufeff\\u732b\\u3000\", \"clip\": [\"4\", 1]}}, \"105\": {\"class_type\": \"Unknown\", \"inputs\": {\"conditioning_1\": [\"106\", 0], \"conditioning_2\": [\"106\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Execution evidence does not match recorded node inputs", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-40", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"102\": {\"records\": [{\"text\": \"\\n\\ud83d\\ude00\\u2028 !\", \"negative_text\": \" fox\\t\", \"prepend_text\": \"caf\\u00e9\\ufeff\", \"append_text\": \"detailed fur\\ufeffdetailed fur\", \"positive_text\": \"\\u0085\\u732b\\u0085detailed fur\", \"negative_effective_text\": \" fox\\t\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\n\\ud83d\\ude00\\u2028 \", \"negative_text\": \" fox\\t\", \"prepend_text\": \"\\u0085caf\\u00e9\\ufeff\", \"append_text\": \"\\ndetailed fur\\ufeffdetailed fur\"}}, \"101\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"102\", 0]}}, \"106\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"fox\", \"strip_newlines\": true}}, \"105\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"106\", 0]}}, \"104\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": [\"105\", 0]}}, \"103\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": [\"104\", 0], \"prepend_text\": \" detailed fur\\u001c\", \"negative_text\": \"\\u0085\\na,\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (FancyEncoder).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support (FancyEncoder).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "FancyEncoder", "id": "101"}, "reason": "Unsupported node semantics or output slot", "reason_code": "unsupported-node", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-41", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"snow\\tsnow\"}}, \"104\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \" detailed fur \"}}, \"103\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": [\"104\", 0], \"strip_newlines\": true}}, \"102\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"103\", 0], \"prepend_text\": \"\\t\\u001c\", \"append_text\": \"
 snow \", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-42", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": \"猫\", \"prepend_text\": \"
 a,\\t\", \"append_text\": \" \\u001c\", \"clip\": [\"4\", 1]}}, \"101\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"102\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "café, detailed fur snow a, café \t😀"}, "positive": {"source": "execution", "status": "resolved", "text": "snow "}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "fuzz-0-43", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"105\": {\"records\": [{\"text\": \"\\u3000a,\\u3000\", \"negative_text\": \"snow\\u3000\", \"prepend_text\": \"caf\\u00e9detailed fur\", \"append_text\": \"fox\\u001csnow\", \"positive_text\": \"\\u0085\\u732b\\u2028 \", \"negative_effective_text\": \"snow\\u3000\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"106\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"café…\", \"text_l\": \"café…\"}}, \"103\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"104\", 0], \"conditioning_2\": [\"104\", 0]}}, \"102\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"103\", 0]}}, \"105\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \" a, \", \"negative_text\": \"snow \", \"prepend_text\": \"\\tcafédetailed fur\", \"append_text\": \"\\nfox\\u001csnow\"}}, \"101\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": false, \"on_true\": [\"102\", 0], \"on_false\": [\"105\", 1]}}, \"109\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_a\": \"\\na, \", \"text_c\": \"\\ncafé\\n\", \"clean_whitespace\": true}}, \"108\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \" detailed fur snow\", \"string_2\": [\"109\", 0], \"string_3\": \"\\t😀…\", \"inputcount\": 3, \"delimiter\": \" \", \"return_list\": false}}, \"107\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": [\"108\", 0], \"prepend_text\": \"…café\\u001c\", \"negative_text\": \"snow…\"}}, \"106\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"107\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "absent", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "😀 😀"}}, "resolution": {"node": null, "reason": "Negative input is absent", "reason_code": null, "sampler_id": "3", "state": "absent"}}, "name": "fuzz-0-44", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\ud83d\\ude00 \\ud83d\\ude00\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "café\u001cdetailed fur, detailed fur"}}, "resolution": {"node": null, "reason": "Missing or malformed graph node", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-45", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"106\": {\"records\": [{\"text\": \"\\u001cfox\\u3000!\", \"negative_text\": \"\\n\\ud83d\\ude00\\u0085\", \"prepend_text\": \"\\ufeff\", \"append_text\": \"a,\", \"positive_text\": \"\\ufeffdetailed fur\\ud83d\\ude00\", \"negative_effective_text\": \"\\n\\ud83d\\ude00\\u0085\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": \"
 detailed fur \", \"prepend_text\": \"…café\\u001cdetailed fur\", \"negative_text\": \"\\u001cfox\"}}, \"105\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"
 😀\"}}, \"104\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"105\", 0]}}, \"103\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": []}, \"106\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u001cfox \", \"negative_text\": \"\\n😀…\", \"prepend_text\": \"
 \", \"append_text\": \" a,\\t\"}}, \"102\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"103\", 0], \"conditioning_2\": [\"106\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (CLIPTextEncodeSDXL).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (CLIPTextEncodeSDXL).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "CLIPTextEncodeSDXL", "id": "102"}, "reason": "Encoder parts have different texts", "reason_code": "composite", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-46", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"106\": {\"records\": [{\"text\": \"\\t\\u732b\\u2028 \", \"negative_text\": \"\\u001cfox\\ufeff\", \"prepend_text\": \"fox\\u3000detailed fur\", \"append_text\": \"detailed fur\", \"positive_text\": \" fox \\u732b\", \"negative_effective_text\": \"\\u001cfox\\ufeff\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"107\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \" detailed fur\", \"prepend_text\": \"café
 \", \"append_text\": \"\\ncafé\\n\"}}, \"102\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"103\", 0], \"text_l\": \"\\t😀
 猫\"}}, \"106\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\t猫
 \", \"negative_text\": \"\\u001cfox\", \"prepend_text\": \"\\nfox detailed fur\", \"append_text\": \"\\ndetailed fur
 \"}}, \"105\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"106\", 0]}}, \"104\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"105\", 0]}}, \"101\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 1], \"on_true\": [\"102\", 0], \"on_false\": [\"104\", 0]}}, \"110\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_b\": \"fox
 \", \"text_c\": \"猫\", \"text_a\": \"\\t😀\", \"clean_whitespace\": \"false\"}}, \"109\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": [\"110\", 0], \"inputcount\": 1, \"delimiter\": \",\", \"return_list\": false}}, \"108\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"109\", 0], \"prepend_text\": \"\\u001c😀\\t猫\", \"append_text\": \" a,\", \"clip\": [\"4\", 1]}}, \"107\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"108\", 0], \"conditioning_2\": [\"108\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (FancyEncoder).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support (FancyEncoder).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "FancyEncoder", "id": "102"}, "reason": "Unsupported node semantics or output slot", "reason_code": "unsupported-node", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-47", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"105\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \" detailed fur
 猫\"}}, \"104\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"\\tcafé
 \", \"prepend_text\": \"
 …😀\", \"append_text\": \"fox\\n\", \"clip\": [\"4\", 1]}}, \"103\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"104\", 0]}}, \"101\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 0], \"on_true\": [\"102\", 0], \"on_false\": [\"103\", 0]}}, \"105\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \" 😀\", \"text_l\": \" 😀\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Missing or malformed graph node", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-48", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": []}, \"101\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"\\u001cfoxcafé\"}}, \"106\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \" detailed fur \"}}, \"105\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"106\", 0]}}, \"104\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"105\", 0], \"prepend_text\": \"\\tfox
 猫\", \"append_text\": \" 猫…café\", \"clip\": [\"4\", 1]}}, \"103\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"104\", 0]}}, \"102\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"103\", 0], \"conditioning_2\": [\"103\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (PromptSearchList).", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "café
 😀"}}, "resolution": {"node": {"class_type": "PromptSearchList", "id": "102"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-49", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"café
 😀\", \"clip\": [\"4\", 1]}}, \"102\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"a,\\t\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (PromptSearchList).", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "😀"}}, "resolution": {"node": {"class_type": "PromptSearchList", "id": "105"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-50", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"104\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \" \\t\"}}, \"102\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"103\", 0]}}, \"101\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": [\"102\", 0], \"prepend_text\": \"\\u2028 \\ud83d\\ude00\\u2028 \", \"negative_text\": \"\\ufeffdetailed fur\\t\"}}, \"105\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \" caf\\u00e9\\ufeffsnow\"}}, \"104\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"105\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "ConditioningCombine", "id": "101"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-51", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"105\": {\"records\": [{\"text\": \"\\ufeffcaf\\u00e9\\u2028 \", \"negative_text\": \"\\t\\u732b\\t\", \"prepend_text\": \"\\ufeff\\ud83d\\ude00\\u001cdetailed fur\", \"append_text\": \"fox\", \"positive_text\": \"\\ud83d\\ude00\\t\", \"negative_effective_text\": \"\\t\\u732b\\t\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"106\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"a,\\tdetailed fur\", \"prepend_text\": \"\\nfox\\n\", \"append_text\": \"fox\\u3000\\ud83d\\ude00\"}}, \"103\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \"caf\\u00e9 \", \"string_b\": [\"104\", 0], \"delimiter\": \", \"}}, \"102\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"103\", 0], \"text_l\": [\"103\", 0]}}, \"105\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\ufeffcaf\\u00e9\\u2028 \", \"negative_text\": \"\\t\\u732b\\t\", \"prepend_text\": \"\\ufeff\\ud83d\\ude00\\u001cdetailed fur\", \"append_text\": \"fox\\u2028 \"}}, \"101\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"102\", 0], \"conditioning_2\": [\"105\", 0]}}, \"109\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \" a,\\na,\", \"string_b\": \"\\ufeff\\u2028 \", \"delimiter\": \"\"}}, \"108\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"109\", 0]}}, \"107\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": [\"108\", 0]}}, \"106\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"107\", 0], \"text_l\": [\"107\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (FancyEncoder).", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "fox, a,"}}, "resolution": {"node": {"class_type": "FancyEncoder", "id": "103"}, "reason": "Unsupported node semantics or output slot", "reason_code": "unsupported-node", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-52", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\"}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \" a,\\t\", \"strip_newlines\": true}}, \"101\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": [\"102\", 0], \"prepend_text\": \"\\tfox \", \"negative_text\": \" snow
 😀\"}}, \"103\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \" a,\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Selector branches have different prompts", "reason_code": null, "sampler_id": "3", "state": "ambiguous"}}, "name": "fuzz-0-53", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"106\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\nsnow\\ufeffdetailed fur\", \"negative_text\": \"\\nfox\\u2028 \", \"prepend_text\": \"a,\", \"append_text\": \"\\ta,\\u001c\"}}, \"105\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"\\u0085caf\\u00e9\", \"prepend_text\": \"\\ufeffcaf\\u00e9\\u3000\", \"append_text\": \"\\ufeff\\u732b\"}}, \"104\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": [\"105\", 0], \"strip_newlines\": true}}, \"103\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": [\"104\", 0], \"prepend_text\": \"\\ufeffa,\\u0085\", \"append_text\": \"\\tdetailed fur\\u3000detailed fur\", \"clip\": [\"4\", 1]}}, \"101\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 0], \"on_true\": [\"102\", 0], \"on_false\": [\"103\", 0]}}, \"109\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\ufeff\\u732b\\u0085\", \"negative_text\": \"\\ta,\\n\\ud83d\\ude00\", \"prepend_text\": \"\\u2028 caf\\u00e9\\u2028 \", \"append_text\": \" \\ufeffcaf\\u00e9\"}}, \"108\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"109\", 1]}}, \"111\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\u001cdetailed fur\\u001c\", \"strip_newlines\": false}}, \"110\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"111\", 0], \"text_l\": \"\"}}, \"107\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"108\", 0], \"conditioning_2\": [\"110\", 0]}}, \"106\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"107\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Execution evidence does not match recorded node inputs", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-54", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"102\": {\"records\": [{\"text\": \"\\ufeffdetailed fur\\u0085!\", \"negative_text\": \"\\u3000fox \", \"prepend_text\": \"caf\\u00e9\", \"append_text\": \"\", \"positive_text\": \"\\ufeffa,\\n\", \"negative_effective_text\": \"\\u3000fox \"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"detailed fur…\", \"negative_text\": \" fox \", \"prepend_text\": \"…café\\u001c\", \"append_text\": \"
 \\u001c\"}}, \"101\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"102\", 1], \"conditioning_2\": [\"102\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "No supported sampler was found.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "No supported sampler was found.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "No supported sampler pair found", "reason_code": "no-sampler", "sampler_id": null, "state": "unresolved"}}, "name": "fuzz-0-55", "records": {"prompt": "{\"3\": {\"class_type\": null, \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"105\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"fox \", \"strip_newlines\": false}}, \"103\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": [\"104\", 0], \"string_b\": \"\\u3000caf\\u00e9\\u2028 \", \"delimiter\": \"\"}}, \"102\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"103\", 0]}}, \"101\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"102\", 0], \"clip\": [\"4\", 1]}}, \"109\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\tcaf\\u00e9\\n\\ud83d\\ude00\", \"clip\": [\"4\", 1]}}, \"108\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"109\", 0]}}, \"107\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"108\", 0]}}, \"106\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"107\", 0]}}, \"105\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"106\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (FancyEncoder).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support (FancyEncoder).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "FancyEncoder", "id": "101"}, "reason": "Unsupported node semantics or output slot", "reason_code": "unsupported-node", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-56", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"\\t\\u732b\"}}, \"102\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\u001csnow\\u001c\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-57", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"105\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": []}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\u3000caf\\u00e9\\t\"}}, \"103\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"104\", 0]}}, \"102\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"103\", 0]}}, \"101\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"102\", 0]}}, \"106\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\ufeffa,\\ufeff\\ud83d\\ude00\"}}, \"107\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \" a,\\ufeff\\ud83d\\ude00\"}}, \"105\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": false, \"on_true\": [\"106\", 0], \"on_false\": [\"107\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (CLIPTextEncodeSDXL).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (CLIPTextEncodeSDXL).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "CLIPTextEncodeSDXL", "id": "101"}, "reason": "Encoder parts have different texts", "reason_code": "composite", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-58", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"107\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"StringConstant\", \"inputs\": {\"string\": \"😀\"}}, \"103\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_d\": \"
 猫\\t\", \"text_a\": \"…detailed fur
 detailed fur\", \"text_b\": [\"104\", 0], \"clean_whitespace\": true}}, \"106\": {\"class_type\": \"StringConstant\", \"inputs\": {\"string\": \"
 detailed fur \"}}, \"105\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": [\"106\", 0], \"strip_newlines\": false}}, \"102\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": [\"103\", 0], \"string_b\": [\"105\", 0], \"delimiter\": \" \"}}, \"101\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"102\", 0], \"text_l\": \"猫\\ndetailed fur\"}}, \"107\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"
 猫\\n\", \"negative_text\": \"\\nsnow
 猫\", \"prepend_text\": \"
 detailed fur \", \"append_text\": \"\\u001c\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Expected a typed graph link or text input", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-59", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"\\nfox\\t\", \"prepend_text\": \" \\ud83d\\ude00\\u001c\", \"append_text\": \"\\u001csnow \"}}, \"101\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {}}, \"104\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\ncaf\\u00e9\\u3000\"}}, \"103\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"104\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "
   café\u001csnow"}}, "resolution": {"node": {"class_type": "ConditioningCombine", "id": "102"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "106", "state": "unresolved"}}, "name": "select-fuzz-0-0", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"103\": {\"records\": [{\"text\": \"\\u001csnow \", \"negative_text\": \"\\u0085\\u2028 detailed fur\", \"prepend_text\": \"\\u732b\", \"append_text\": \"\\ud83d\\ude00\", \"positive_text\": \"snow\\u3000\", \"negative_effective_text\": \"\\u0085\\u2028 detailed fur\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"\\u2028 \\u3000\", \"prepend_text\": \"\\u001c\\u0085\", \"append_text\": \"\\ncaf\\u00e9\\u001csnow\", \"clip\": [\"4\", 1]}}, \"103\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u001csnow \", \"negative_text\": \"\\u0085\\u2028 detailed fur\", \"prepend_text\": \"\\u0085\\u732b\\u2028 \", \"append_text\": \"\\u2028 \\ud83d\\ude00\"}}, \"105\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \"\\u0085snow\\n\", \"prepend_text\": \"\\n\\u732b\\t\", \"negative_text\": \"\\ufeffsnow \"}}, \"104\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"105\", 0]}}, \"102\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"103\", 0], \"conditioning_2\": [\"104\", 0]}}, \"106\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"107\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"106\", 0]}}, \"108\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"107\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-1", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"snow \", \"negative_text\": \"\\n😀\\tcafé\", \"prepend_text\": \"😀café\", \"append_text\": \"\\tfox \"}}, \"106\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \" a, \"}}, \"105\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"106\", 0]}}, \"104\": {\"class_type\": \"TextInput\", \"inputs\": {\"text\": [\"105\", 0]}}, \"103\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": [\"104\", 0], \"strip_newlines\": false}}, \"102\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"103\", 0], \"prepend_text\": \"\\n猫\", \"append_text\": \" 猫…\", \"clip\": [\"4\", 1]}}, \"107\": {\"class_type\": \"KSamplerAdvanced\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 1], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"109\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"
 snow猫\", \"strip_newlines\": true}}, \"108\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"109\", 0], \"text_l\": [\"109\", 0]}}, \"110\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"猫\\t\", \"text_l\": \"猫\\t\"}}, \"111\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"108\", 0], \"negative\": [\"110\", 0], \"latent_image\": [\"5\", 0]}}, \"112\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"107\", 0]}}, \"115\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \"\\u001ca, \", \"string_b\": \" detailed fur\\n\", \"delimiter\": \" \"}}, \"114\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"115\", 0], \"text_l\": [\"115\", 0]}}, \"118\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \"café\", \"string_b\": \" 😀…\", \"delimiter\": \" \"}}, \"117\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_c\": [\"118\", 0], \"clean_whitespace\": \"false\"}}, \"116\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"117\", 0], \"clip\": [\"4\", 1]}}, \"113\": {\"class_type\": \"DetailerForEach\", \"inputs\": {\"image\": [\"112\", 0], \"model\": [\"4\", 0], \"positive\": [\"114\", 0], \"negative\": [\"116\", 0]}}, \"119\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"113\", 0]}}, \"120\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"113\", 0]}}, \"121\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"111\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (FancyEncoder).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support (FancyEncoder).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "FancyEncoder", "id": "102"}, "reason": "Unsupported node semantics or output slot", "reason_code": "unsupported-node", "sampler_id": "104", "state": "unresolved"}}, "name": "select-fuzz-0-2", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"\\t\\ud83d\\ude00\\u3000\"}}, \"103\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\na,\\t\", \"text_l\": \"\\na,\\t\"}}, \"101\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"102\", 0], \"conditioning_2\": [\"103\", 0]}}, \"104\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"latent_image\": [\"5\", 0]}}, \"105\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"104\", 0]}}, \"106\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"105\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "select-fuzz-0-3", "records": {"parameters": "Steps:٣, a\r\nfox\r"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "select-fuzz-0-4", "records": {"parameters": "Negative prompt: blur \tfox 
 a,
Negative prompt:\n"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "select-fuzz-0-5", "records": {"parameters": "\u001ccafé Negative Template: n\n"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (FancyEncoder).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support (FancyEncoder).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "FancyEncoder", "id": "109"}, "reason": "Unsupported node semantics or output slot", "reason_code": "unsupported-node", "sampler_id": "111", "state": "unresolved"}}, "name": "select-fuzz-0-6", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"105\": {\"records\": [{\"text\": \"\\u001csnow\\ufeff\", \"negative_text\": \"\\ud83d\\ude00\\t\", \"prepend_text\": \"\\ud83d\\ude00\", \"append_text\": \"detailed fur\", \"positive_text\": \"\\u0085snow\\ufeff\", \"negative_effective_text\": \"\\ud83d\\ude00\\t\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": \"detailed fur…\"}}, \"103\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"104\", 0]}}, \"102\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_c\": \"fox😀\", \"text_a\": [\"103\", 0], \"text_d\": \" 😀😀\", \"clean_whitespace\": \"false\"}}, \"101\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": [\"102\", 0], \"prepend_text\": \"…a, \", \"negative_text\": \"fox\\u001c😀\"}}, \"105\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u001csnow\", \"negative_text\": \"😀\\t\", \"prepend_text\": \" 😀 \", \"append_text\": \"\\u001cdetailed fur \"}}, \"106\": {\"class_type\": \"KSamplerAdvanced\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"105\", 0], \"latent_image\": [\"5\", 0]}}, \"109\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \" snow 猫\"}}, \"108\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"109\", 0]}}, \"107\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"108\", 0]}}, \"110\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"
 😀\", \"clip\": [\"4\", 1]}}, \"111\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"107\", 0], \"negative\": [\"110\", 0], \"latent_image\": [\"5\", 0]}}, \"112\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"106\", 0]}}, \"117\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \" 猫…fox\", \"clip\": [\"4\", 1]}}, \"116\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"117\", 0]}}, \"115\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"116\", 0]}}, \"118\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": \" 😀\\n\", \"prepend_text\": \"\\ncafé detailed fur\", \"negative_text\": \"…café \"}}, \"114\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"115\", 0], \"conditioning_2\": [\"118\", 0]}}, \"121\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": \"
 …\", \"prepend_text\": \"猫
 \", \"append_text\": \"\\nfox…\", \"clip\": [\"4\", 1]}}, \"120\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"121\", 0]}}, \"119\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"120\", 0]}}, \"113\": {\"class_type\": \"UltimateSDUpscaleNoUpscale\", \"inputs\": {\"model\": [\"4\", 0], \"positive\": [\"114\", 0], \"negative\": [\"119\", 0], \"upscaled_image\": [\"112\", 0]}}, \"122\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"113\", 0]}}, \"123\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"111\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-7", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"110\": {\"records\": [{\"text\": \"\\u0085snow\\ufeff\", \"negative_text\": \"\\u001cdetailed fur\\u3000\", \"prepend_text\": \"caf\\u00e9\\ta,\", \"append_text\": \"fox\\ufeff\", \"positive_text\": \" caf\\u00e9\\u0085\", \"negative_effective_text\": \"\\u001cdetailed fur\\u3000\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"\\ncafé\"}}, \"103\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": [\"104\", 0], \"prepend_text\": \"a,\\t\", \"negative_text\": \"a,
 \"}}, \"106\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \" 猫\\u001c\", \"string_b\": \"  \", \"delimiter\": \"\"}}, \"105\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"106\", 0], \"clip\": [\"4\", 1]}}, \"102\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"103\", 0], \"conditioning_2\": [\"105\", 0]}}, \"101\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"102\", 0]}}, \"107\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"latent_image\": [\"5\", 0]}}, \"110\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"…snow\", \"negative_text\": \"\\u001cdetailed fur \", \"prepend_text\": \"café\\ta,\", \"append_text\": \"fox\"}}, \"109\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"110\", 1], \"conditioning_2\": [\"110\", 1]}}, \"108\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"109\", 0]}}, \"111\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": \"\\ta, \", \"prepend_text\": \"…猫 \", \"negative_text\": \"snow\"}}, \"112\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"108\", 0], \"negative\": [\"111\", 0], \"latent_image\": [\"5\", 0]}}, \"114\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"\\tdetailed fur\\u001c\"}}, \"115\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"
 猫\"}}, \"113\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": true, \"on_true\": [\"114\", 0], \"on_false\": [\"115\", 0]}}, \"119\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": \"\\u001cfox
 \"}}, \"120\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\nsnow
 \", \"strip_newlines\": false}}, \"118\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": [\"119\", 0], \"string_b\": [\"120\", 0], \"delimiter\": \" \"}}, \"117\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": [\"118\", 0], \"prepend_text\": \"\\u001csnow\\t\", \"negative_text\": \" snow \"}}, \"116\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"117\", 0]}}, \"121\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"113\", 0], \"negative\": [\"116\", 0], \"latent_image\": [\"5\", 0]}}, \"122\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"107\", 0]}}, \"123\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"122\", 0]}}, \"124\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"122\", 0]}}, \"125\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"112\", 0]}}, \"128\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \" a,\", \"text_l\": \" a,\"}}, \"131\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\t猫snow\", \"clip\": [\"4\", 1]}}, \"132\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"😀…\", \"clip\": [\"4\", 1]}}, \"130\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": true, \"on_true\": [\"131\", 0], \"on_false\": [\"132\", 0]}}, \"129\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"130\", 0]}}, \"127\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"128\", 0], \"conditioning_2\": [\"129\", 0]}}, \"126\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"125\", 0], \"model\": [\"4\", 0], \"positive\": [\"113\", 0], \"negative\": [\"127\", 0]}}, \"133\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"126\", 0]}}, \"134\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"121\", 0]}}, \"135\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"134\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": null, "state": "unresolved"}}, "name": "select-fuzz-0-8", "records": {"parameters": "Steps:٣, a
\u001ca,\t\n"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (PromptSearchList).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt is chosen at run time (PromptSearchList).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "PromptSearchList", "id": "119"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "117", "state": "unresolved"}}, "name": "select-fuzz-0-9", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"127\": {\"records\": [{\"text\": \"\\u0085\\u3000\", \"negative_text\": \"\\u2028 a,\\ufeff\", \"prepend_text\": \"\", \"append_text\": \"\\u732b\", \"positive_text\": \"snow \", \"negative_effective_text\": \"\\u2028 a,\\ufeff\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"…猫\\n\", \"strip_newlines\": false}}, \"103\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": [\"104\", 0], \"prepend_text\": \"…detailed fur\", \"append_text\": \"detailed fur \", \"clip\": [\"4\", 1]}}, \"102\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"103\", 0]}}, \"101\": {\"class_type\": \"Unknown\", \"inputs\": {\"conditioning_1\": [\"102\", 0], \"conditioning_2\": [\"102\", 0]}}, \"108\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"…😀café\"}}, \"107\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"108\", 0]}}, \"106\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"a,
 detailed fur\", \"string_2\": [\"107\", 0], \"string_3\": \"
 café\", \"inputcount\": 3, \"delimiter\": \" \", \"return_list\": false}}, \"105\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": [\"106\", 0], \"prepend_text\": \" café\\n\", \"append_text\": \"…café…\", \"clip\": [\"4\", 1]}}, \"109\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"105\", 0], \"latent_image\": [\"5\", 0]}}, \"113\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"\\u001csnow\\u001c\"}}, \"112\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": [\"113\", 0], \"prepend_text\": \"\\tdetailed fur\", \"append_text\": \"\\ndetailed fur\\u001c\"}}, \"111\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"112\", 0], \"clip\": [\"4\", 1]}}, \"110\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"111\", 0], \"conditioning_2\": [\"111\", 0]}}, \"114\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"😀 \"}}, \"115\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"110\", 0], \"negative\": [\"114\", 0], \"latent_image\": [\"109\", 0]}}, \"116\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"109\", 0]}}, \"119\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \" fox \"}}, \"118\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"119\", 0], \"conditioning_2\": [\"119\", 0]}}, \"122\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_d\": \"\\u001c😀
 猫\", \"clean_whitespace\": true}}, \"121\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": [\"122\", 0], \"strip_newlines\": true}}, \"120\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"121\", 0], \"text_l\": [\"121\", 0]}}, \"117\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"116\", 0], \"model\": [\"4\", 0], \"positive\": [\"118\", 0], \"negative\": [\"120\", 0]}}, \"123\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"115\", 0]}}, \"125\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\tsnow \"}}, \"127\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"… \", \"negative_text\": \"
 a,\", \"prepend_text\": \"\\u001c\", \"append_text\": \"猫\"}}, \"126\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"127\", 1]}}, \"124\": {\"class_type\": \"UltimateSDUpscaleNoUpscale\", \"inputs\": {\"model\": [\"4\", 0], \"positive\": [\"125\", 0], \"negative\": [\"126\", 0], \"upscaled_image\": [\"123\", 0]}}, \"128\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"124\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": "110", "state": "unresolved"}}, "name": "select-fuzz-0-10", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"113\": {\"records\": [{\"text\": \"\\u0085detailed fur\\ufeffdetailed fur\", \"negative_text\": \"\\ufeff\\u001c\", \"prepend_text\": \"a,\\u001cfox\", \"append_text\": \"a,fox\", \"positive_text\": \"\\u3000\\u732b\\u3000\", \"negative_effective_text\": \"\\ufeff\\u001c\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"105\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\nsnow\\u3000\", \"clip\": [\"4\", 1]}}, \"104\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"105\", 0], \"conditioning_2\": [\"105\", 0]}}, \"103\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"104\", 0]}}, \"102\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"103\", 0]}}, \"101\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"102\", 0]}}, \"106\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": \"\\ta,\\tcaf\\u00e9\", \"prepend_text\": \"\\ufeffa,\\u3000\", \"append_text\": \"\\ufeffdetailed fur\\n\", \"clip\": [\"4\", 1]}}, \"107\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"106\", 0], \"latent_image\": [\"5\", 0]}}, \"108\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"107\", 0]}}, \"109\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"108\", 0]}}, \"112\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\n\\ud83d\\ude00 \"}}, \"113\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u0085detailed fur\\ufeffdetailed fur\", \"negative_text\": \"\\ufeff\\u001c\", \"prepend_text\": \"\\na,\\u001cfox\", \"append_text\": \"\\ta,fox\"}}, \"111\": {\"class_type\": \"Unknown\", \"inputs\": {\"boolean\": true, \"on_true\": [\"112\", 0], \"on_false\": [\"113\", 1]}}, \"110\": {\"class_type\": \"DetailerForEach\", \"inputs\": {\"image\": [\"108\", 0], \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"111\", 0]}}, \"114\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"110\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-11", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"105\": {\"records\": [{\"text\": \"\\u001c\\u0085\", \"negative_text\": \"\\nfox\\u001c\", \"prepend_text\": \"fox\\ufeff\", \"append_text\": \"\\ufefffox\", \"positive_text\": \" snow caf\\u00e9\", \"negative_effective_text\": \"\\nfox\\u001c\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\na,\\n\", \"strip_newlines\": false}}, \"101\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"102\", 0], \"clip\": [\"4\", 1]}}, \"105\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u001c…\", \"negative_text\": \"\\nfox\\u001c\", \"prepend_text\": \" fox\", \"append_text\": \"fox \"}}, \"107\": {\"class_type\": \"StringConstant\", \"inputs\": {\"string\": \"\\n\\n😀\"}}, \"106\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": [\"107\", 0], \"prepend_text\": \"…a, 😀\", \"negative_text\": \"
 猫\\u001c\"}}, \"104\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"105\", 1], \"conditioning_2\": [\"106\", 0]}}, \"108\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \"snow detailed fur\", \"prepend_text\": \"\\n猫\\u001c\", \"negative_text\": \"detailed fur😀\"}}, \"103\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"104\", 0], \"conditioning_2\": [\"108\", 0]}}, \"109\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"5\", 0]}}, \"111\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"\\n猫 \"}}, \"110\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"111\", 0]}}, \"116\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\tcafé\", \"clip\": [\"4\", 0.0]}}, \"115\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"116\", 0]}}, \"114\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"115\", 0], \"conditioning_2\": [\"115\", 0]}}, \"118\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\tdetailed fur\\t\"}}, \"117\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"118\", 0]}}, \"113\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 1], \"on_true\": [\"114\", 0], \"on_false\": [\"117\", 0]}}, \"112\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"113\", 0]}}, \"119\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"110\", 0], \"negative\": [\"112\", 0], \"latent_image\": [\"5\", 0]}}, \"120\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"5\", 0]}}, \"121\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"109\", 0]}}, \"122\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"121\", 0]}}, \"123\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"121\", 0]}}, \"124\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"119\", 0]}}, \"125\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"124\", 0]}}, \"126\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"120\", 0]}}, \"130\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"\\ncafé\", \"inputcount\": 1, \"delimiter\": \",\", \"return_list\": false}}, \"129\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": [\"130\", 0]}}, \"128\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"129\", 0], \"text_l\": \"\"}}, \"132\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"…猫…\", \"prepend_text\": \"\\n😀…\", \"append_text\": \"\\u001cfox…\", \"clip\": [\"4\", 1]}}, \"131\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"132\", 0], \"conditioning_2\": [\"132\", 0]}}, \"127\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"126\", 0], \"model\": [\"4\", 0], \"positive\": [\"128\", 0], \"negative\": [\"131\", 0]}}, \"133\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"127\", 0]}}, \"134\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"127\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (FancyEncoder).", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": " café\n"}}, "resolution": {"node": {"class_type": "FancyEncoder", "id": "104"}, "reason": "Unsupported node semantics or output slot", "reason_code": "unsupported-node", "sampler_id": "105", "state": "unresolved"}}, "name": "select-fuzz-0-12", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \" café\\n\", \"clip\": [\"4\", 1]}}, \"104\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \" detailed fur\"}}, \"103\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"104\", 0]}}, \"102\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"103\", 0], \"conditioning_2\": [\"103\", 0]}}, \"105\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"106\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"105\", 0]}}, \"107\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"106\", 0]}}, \"108\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"106\", 0]}}, \"109\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"106\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-13", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\t猫\", \"text_l\": \"\"}}, \"101\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"102\", 0]}}, \"104\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": \" fox\"}}, \"103\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": [\"104\", 0], \"prepend_text\": \"…😀\\t\", \"negative_text\": \"
 a,\\t\"}}, \"105\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"5\", 0]}}, \"106\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"5\", 0]}}, \"107\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"105\", 0]}}, \"109\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"😀\", \"negative_text\": \" detailed fur…\", \"prepend_text\": \"😀😀\", \"append_text\": \"\\na, \"}}, \"108\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"107\", 0], \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"109\", 1]}}, \"110\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"108\", 0]}}, \"111\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"106\", 0]}}, \"112\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"111\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "select-fuzz-0-14", "records": {"parameters": "Negative prompt:\r\ncafé…\r\n"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "café "}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "detailed fur 😀, snow \u001c café
 café"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "105", "state": "resolved"}}, "name": "select-fuzz-0-15", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"\\u001c\", \"prepend_text\": \"\\nsnow\\u2028 \", \"append_text\": \"\\u001ccaf\\u00e9\\u2028 caf\\u00e9\"}}, \"102\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_b\": [\"103\", 0], \"clean_whitespace\": true}}, \"101\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": [\"102\", 0], \"prepend_text\": \" detailed fur\\u3000\\ud83d\\ude00\", \"negative_text\": \"detailed fur\\u001c\"}}, \"104\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u0085\\u732b\\u3000\", \"negative_text\": \"caf\\u00e9\\u3000\", \"prepend_text\": \"detailed fur\\n\", \"append_text\": \"\\u0085caf\\u00e9\\n\"}}, \"105\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"104\", 1], \"latent_image\": [\"5\", 0]}}, \"106\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"105\", 0]}}, \"107\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"106\", 0]}}, \"108\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"106\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": "135", "state": "unresolved"}}, "name": "select-fuzz-0-16", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"107\": {\"records\": [{\"text\": \"\\tcaf\\u00e9\\t\", \"negative_text\": \"fox\\u2028 \", \"prepend_text\": \"caf\\u00e9\", \"append_text\": \"snow\\u2028 \\ud83d\\ude00\", \"positive_text\": \"\\u001ca,\\u001c\", \"negative_effective_text\": \"fox\\u2028 \"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\u3000detailed fur\\u3000\", \"strip_newlines\": false}}, \"105\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"\\u0085caf\\u00e9\\u001c\", \"prepend_text\": \"detailed fur\\ufeff\", \"append_text\": \"\\tfox \"}}, \"103\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"\\u0085a, \", \"string_2\": [\"104\", 0], \"string_3\": [\"105\", 0], \"inputcount\": 3, \"delimiter\": \",\", \"return_list\": false}}, \"102\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_a\": [\"103\", 0], \"text_b\": \" \", \"clean_whitespace\": \"true\"}}, \"101\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": [\"102\", 0], \"prepend_text\": \"\\u0085detailed fur\\t\", \"negative_text\": \"\\u001cdetailed fur\\t\"}}, \"107\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\tcaf\\u00e9\\t\", \"negative_text\": \"fox\\u2028 \", \"prepend_text\": \"\\u3000caf\\u00e9\\u0085\", \"append_text\": \" snow\\u2028 \\ud83d\\ude00\"}}, \"106\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"107\", 0], \"conditioning_2\": [\"107\", 0]}}, \"108\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"106\", 0], \"latent_image\": [\"108\", 0]}}, \"111\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_a\": \"\\u2028 a,\", \"text_c\": \"\\u3000a,\\ufeff\", \"clean_whitespace\": \"false\"}}, \"112\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \"caf\\u00e9\\t\\u732b\", \"string_b\": \"\\ud83d\\ude00\\u3000\", \"delimiter\": \" \"}}, \"110\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_a\": \"\\ufeff\\u732b\\ufeff\", \"text_b\": [\"111\", 0], \"text_d\": [\"112\", 0], \"clean_whitespace\": true}}, \"109\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"110\", 0], \"clip\": [\"4\", 1]}}, \"113\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\ufeffa,\\u001c\", \"text_l\": \"\\ufeffa,\\u001c\"}}, \"114\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"109\", 0], \"negative\": [\"113\", 0], \"latent_image\": [\"5\", 0]}}, \"115\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"108\", 0]}}, \"119\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"\\u0085snow fox\", \"prepend_text\": \"\\tdetailed fur\", \"append_text\": \"\\u2028 \\ufefffox\", \"clip\": [\"4\", 1]}}, \"118\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"119\", 0]}}, \"120\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": \"\\u2028 snow \", \"prepend_text\": \" \\ud83d\\ude00\", \"append_text\": \"fox\\u3000\", \"clip\": [\"4\", 1]}}, \"117\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"118\", 0], \"conditioning_2\": [\"120\", 0]}}, \"124\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\na,\", \"clip\": [\"4\", 1]}}, \"123\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"124\", 0]}}, \"122\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"123\", 0]}}, \"121\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"122\", 0]}}, \"116\": {\"class_type\": \"DetailerForEach\", \"inputs\": {\"image\": [\"115\", 0], \"model\": [\"4\", 0], \"positive\": [\"117\", 0], \"negative\": [\"121\", 0]}}, \"125\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"116\", 0]}}, \"126\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"114\", 0]}}, \"131\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u3000\\u0085\", \"clip\": [\"4\", 1]}}, \"130\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"131\", 0]}}, \"133\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u3000fox\\t\", \"clip\": [\"4\", 1]}}, \"132\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"133\", 0]}}, \"129\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": false, \"on_true\": [\"130\", 0], \"on_false\": [\"132\", 0]}}, \"128\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"129\", 0]}}, \"134\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"\\tcaf\\u00e9a,\"}}, \"127\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"126\", 0], \"model\": [\"4\", 0], \"positive\": [\"128\", 0], \"negative\": [\"134\", 0]}}, \"139\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\tdetailed fur\", \"clip\": [\"4\", 1]}}, \"138\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"139\", 0]}}, \"137\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"138\", 0]}}, \"136\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"137\", 0]}}, \"135\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"127\", 0], \"model\": [\"4\", 0], \"positive\": [\"109\", 0], \"negative\": [\"136\", 0]}}, \"140\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"135\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "select-fuzz-0-17", "records": {"parameters": " detailed fur \r\nNegative Template: n\r\nNegative Template: n
Steps:٣, a\r\nNegative prompt: blur
"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Selector branches have different prompts", "reason_code": null, "sampler_id": "110", "state": "ambiguous"}}, "name": "select-fuzz-0-18", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": \"\\u0085detailed fur \", \"prepend_text\": \"caf\\u00e9\\u3000detailed fur\", \"negative_text\": \"\\u3000detailed fur \"}}, \"105\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"\\u001csnow\\u0085\", \"prepend_text\": \"\\u0085\\u2028 \", \"append_text\": \"\\n\\ud83d\\ude00\\t\", \"clip\": [\"4\", 1]}}, \"107\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u3000fox\\u001c\", \"clip\": [\"4\", 1]}}, \"108\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"detailed fur\\u001c\", \"clip\": [\"4\", 1]}}, \"106\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 0], \"on_true\": [\"107\", 0], \"on_false\": [\"108\", 0]}}, \"104\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 1], \"on_true\": [\"105\", 0], \"on_false\": [\"106\", 0]}}, \"103\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"104\", 0]}}, \"102\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"103\", 0]}}, \"109\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"110\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"111\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"109\", 0]}}, \"114\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": \" detailed fur\\u2028 \", \"prepend_text\": \"\\tcaf\\u00e9\\t\\u732b\", \"append_text\": \"caf\\u00e9\\ufeff\", \"clip\": [\"4\", 1]}}, \"113\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"114\", 0]}}, \"118\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"\\u2028 a,\\u2028 \"}}, \"117\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"118\", 0]}}, \"116\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"117\", 0], \"prepend_text\": \"\\u3000\\ud83d\\ude00\\n\", \"append_text\": \"\\u3000a,\\u3000\", \"clip\": [\"4\", 1]}}, \"119\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u3000detailed fur \", \"negative_text\": \"\\tcaf\\u00e9\", \"prepend_text\": \"\\u2028 snow\\n\", \"append_text\": \"\\u2028 snow\\u001c\"}}, \"115\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": true, \"on_true\": [\"116\", 0], \"on_false\": [\"119\", 1]}}, \"112\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"111\", 0], \"model\": [\"4\", 0], \"positive\": [\"113\", 0], \"negative\": [\"115\", 0]}}, \"122\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"\\ufeffa,\\u001c\", \"prepend_text\": \"\\ncaf\\u00e9\\u2028 \", \"append_text\": \" caf\\u00e9\"}}, \"121\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"122\", 0], \"text_l\": \"\\u2028 detailed fur\\n\"}}, \"120\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"112\", 0], \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"121\", 0], \"wildcard\": \"\"}}, \"123\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"120\", 0]}}, \"124\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"110\", 0]}}, \"125\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"124\", 0]}}, \"126\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"124\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-19", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_c\": \"\\t \", \"clean_whitespace\": \"false\"}}, \"102\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \"\\u2028 \\u2028 \", \"string_b\": [\"103\", 0], \"delimiter\": \", \"}}, \"101\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"102\", 0], \"clip\": [\"4\", 1]}}, \"104\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"\\nsnow\\u001csnow\", \"prepend_text\": \"\\tfox\\t\", \"append_text\": \"\\nfox\", \"clip\": [\"4\", 1]}}, \"105\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"104\", 0], \"latent_image\": [\"5\", 0]}}, \"108\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"\\u001c\\ud83d\\ude00\\na,\"}}, \"107\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"108\", 0]}}, \"106\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": [\"107\", 0], \"prepend_text\": \"\\u2028 a, detailed fur\", \"negative_text\": \"\\na,\\u3000\"}}, \"111\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \"\\tsnow\\u3000\", \"prepend_text\": \"\\ufeff\\u732b\\u0085\", \"negative_text\": \"\\u0085detailed fur\\u001c\"}}, \"110\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"111\", 0]}}, \"109\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"110\", 0], \"conditioning_2\": [\"110\", 0]}}, \"112\": {\"class_type\": \"KSamplerAdvanced\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"106\", 0], \"negative\": [\"109\", 0], \"latent_image\": [\"5\", 0]}}, \"113\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \"\\ta,\\n\", \"prepend_text\": \"\\u0085\\ndetailed fur\", \"negative_text\": \"\\u3000\\u2028 \"}}, \"114\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"113\", 0], \"latent_image\": [\"5\", 0]}}, \"115\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"105\", 0]}}, \"119\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\ufeffa,\\u3000\", \"text_l\": \"\\ufeffa,\\u3000\"}}, \"120\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"detailed fur a,\", \"prepend_text\": \"\\tsnow\\t\", \"append_text\": \"\\u0085fox\\n\", \"clip\": [\"4\", 1]}}, \"118\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": true, \"on_true\": [\"119\", 0], \"on_false\": [\"120\", 0]}}, \"117\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"118\", 0]}}, \"121\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"\\nsnow\\ufefffox\", \"prepend_text\": \"\\u2028 detailed fur \", \"append_text\": \"\\n\\u732b\\u3000\", \"clip\": [\"4\", 1]}}, \"116\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"115\", 0], \"model\": [\"4\", 0], \"positive\": [\"117\", 0], \"negative\": [\"121\", 0]}}, \"126\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"\\u0085\\t\"}}, \"125\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"126\", 0]}}, \"124\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": [\"125\", 0], \"inputcount\": 1, \"delimiter\": \" \", \"return_list\": false}}, \"123\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"124\", 0], \"clip\": [\"4\", 1]}}, \"127\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\tcaf\\u00e9\\u3000a,\", \"text_l\": \"\\tcaf\\u00e9\\u3000a,\"}}, \"122\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"116\", 0], \"model\": [\"4\", 0], \"positive\": [\"123\", 0], \"negative\": [\"127\", 0]}}, \"128\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"122\", 0]}}, \"129\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"112\", 0]}}, \"130\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"129\", 0]}}, \"131\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"129\", 0]}}, \"132\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"129\", 0]}}, \"133\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"114\", 0]}}, \"137\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\ufeff\\u732b\\u0085\", \"strip_newlines\": false}}, \"136\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"137\", 0]}}, \"135\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": [\"136\", 0], \"prepend_text\": \"\", \"append_text\": \"\\ufeff\\u732b\\u3000\", \"clip\": [\"4\", 1]}}, \"140\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \"\\u0085\\t\", \"prepend_text\": \"\\u2028 snow\\nsnow\", \"negative_text\": \"caf\\u00e9\\u0085caf\\u00e9\"}}, \"139\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"140\", 0]}}, \"138\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"139\", 0]}}, \"134\": {\"class_type\": \"UltimateSDUpscaleNoUpscale\", \"inputs\": {\"model\": [\"4\", 0], \"positive\": [\"135\", 0], \"negative\": [\"138\", 0], \"upscaled_image\": [\"133\", 0]}}, \"141\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"134\", 0]}}, \"142\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"134\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Sampler stages have different prompts", "reason_code": "multistage-differs", "sampler_id": "111", "state": "ambiguous"}}, "name": "select-fuzz-0-20", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"103\": {\"records\": [{\"text\": \"\\t\\n\", \"negative_text\": \"\\u732b\\ufeff\", \"prepend_text\": \"\\u732bcaf\\u00e9\", \"append_text\": \"\", \"positive_text\": \"\\u2028 detailed fur\\u001c\", \"negative_effective_text\": \"\\u732b\\ufeff\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\t\\n\", \"negative_text\": \"猫\", \"prepend_text\": \"…猫café\", \"append_text\": \"\\n\\n\"}}, \"104\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\ta,
 \"}}, \"102\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": false, \"on_true\": [\"103\", 1], \"on_false\": [\"104\", 0]}}, \"105\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \"… snow\", \"prepend_text\": \"\\tdetailed fur\", \"negative_text\": \"\\na,猫\"}}, \"101\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": false, \"on_true\": [\"102\", 0], \"on_false\": [\"105\", 0]}}, \"108\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"
 snow \", \"prepend_text\": \"fox\\n\", \"append_text\": \"…😀 \"}}, \"107\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": [\"108\", 0]}}, \"106\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"107\", 0], \"prepend_text\": \"\\nfox
 \", \"append_text\": \"😀 \", \"clip\": [\"4\", 1]}}, \"109\": {\"class_type\": \"KSamplerAdvanced\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"106\", 0], \"latent_image\": [\"5\", 0]}}, \"110\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"109\", 0]}}, \"115\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \" fox\\t\", \"clip\": [\"4\", 1]}}, \"116\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"snow
 \", \"clip\": [\"4\", 1]}}, \"114\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_2\": [\"116\", 0]}}, \"113\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"114\", 0]}}, \"112\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"113\", 0]}}, \"111\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"110\", 0], \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"112\", 0]}}, \"117\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"111\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Cyclic latent ancestry", "reason_code": "malformed", "sampler_id": "108", "state": "unresolved"}}, "name": "select-fuzz-0-21", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\u001c\\ud83d\\ude00\\u3000\\ud83d\\ude00\", \"strip_newlines\": false}}, \"101\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"102\", 0], \"text_l\": \"\"}}, \"106\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\u0085snow\\u2028 \", \"strip_newlines\": true}}, \"107\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\u3000\\u732b\\ufeff\", \"strip_newlines\": false}}, \"105\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_a\": [\"106\", 0], \"text_c\": [\"107\", 0], \"clean_whitespace\": true}}, \"104\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \" detailed fur snow\", \"string_2\": [\"105\", 0], \"inputcount\": 3, \"delimiter\": \",\", \"return_list\": false}}, \"103\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": [\"104\", 0], \"prepend_text\": \"\\u2028 \\u732b\\n\", \"negative_text\": \"\\u0085caf\\u00e9\\u001c\"}}, \"108\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"108\", 0]}}, \"109\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"108\", 0]}}, \"110\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"109\", 0]}}, \"111\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"109\", 0]}}, \"112\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"109\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-22", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"110\": {\"records\": [{\"text\": \"\\n\\u3000snow\", \"negative_text\": \"\\u001csnow\\t\", \"prepend_text\": \"\\ufefffox\", \"append_text\": \"\\u732b\\ufeffdetailed fur\", \"positive_text\": \"caf\\u00e9\\u2028 \", \"negative_effective_text\": \"\\u001csnow\\t\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\ufeffsnow\\u3000\", \"negative_text\": \"\\u3000snow \", \"prepend_text\": \"\\ufeffa,\\tdetailed fur\", \"append_text\": \"\\u001cfox\"}}, \"101\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"102\", 1]}}, \"103\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"\\u0085\\ud83d\\ude00\"}}, \"104\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"5\", 0]}}, \"108\": {\"class_type\": \"TextInput\", \"inputs\": {\"string\": \"\\u001ca,\\u2028 \"}}, \"107\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"108\", 0], \"clip\": [\"4\", 1]}}, \"106\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"107\", 0]}}, \"105\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"106\", 0], \"conditioning_2\": [\"106\", 0]}}, \"110\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\n\\u3000snow\", \"negative_text\": \"\\u001csnow\\t\", \"prepend_text\": \"\\ufefffox\\u0085\", \"append_text\": \" \\u732b\\ufeffdetailed fur\"}}, \"114\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\t\\ud83d\\ude00\\u2028 \\u732b\", \"clip\": [\"4\", 1]}}, \"113\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"114\", 0]}}, \"115\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"\\ncaf\\u00e9\\t\", \"prepend_text\": \"\\u2028 \\ud83d\\ude00\", \"append_text\": \"\\nfox\\u3000detailed fur\", \"clip\": [\"4\", 1]}}, \"112\": {\"class_type\": \"ConditioningCombine\"}, \"111\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"112\", 0]}}, \"109\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": false, \"on_true\": [\"110\", 0], \"on_false\": [\"111\", 0]}}, \"116\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"105\", 0], \"negative\": [\"109\", 0], \"latent_image\": [\"5\", 0]}}, \"117\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"105\", 0], \"negative\": [\"109\", 0], \"latent_image\": [\"5\", 0]}}, \"118\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"104\", 0]}}, \"119\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"118\", 0]}}, \"120\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"116\", 0]}}, \"124\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"\\u001cdetailed fur\\u0085\", \"prepend_text\": \"\\u001csnow\\t\", \"append_text\": \"\\nfox\"}}, \"123\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": [\"124\", 0], \"strip_newlines\": true}}, \"122\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"123\", 0], \"clip\": [\"4\", 1]}}, \"121\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"120\", 0], \"model\": [\"4\", 0], \"positive\": [\"105\", 0], \"negative\": [\"122\", 0]}}, \"127\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"caf\\u00e9\\u0085\"}}, \"126\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"127\", 0]}}, \"125\": {\"class_type\": \"DetailerForEach\", \"inputs\": {\"image\": [\"121\", 0], \"model\": [\"4\", 0], \"positive\": [\"105\", 0], \"negative\": [\"126\", 0]}}, \"128\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"125\", 0]}}, \"129\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"117\", 0]}}, \"133\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": \"\\ufeff\\ud83d\\ude00\\ufeff\\ud83d\\ude00\", \"prepend_text\": \"\\u0085a,\\u3000\", \"append_text\": \"\\u3000\\ud83d\\ude00\\n\\u732b\", \"clip\": [\"4\", 1]}}, \"132\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"133\", 0]}}, \"131\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"132\", 0]}}, \"134\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u2028 caf\\u00e9\\u2028 \", \"negative_text\": \"\\u2028 \\u0085\\ud83d\\ude00\", \"prepend_text\": \"\\ufefffox\\n\", \"append_text\": \"\\ufeffsnowsnow\"}}, \"130\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"129\", 0], \"model\": [\"4\", 0], \"positive\": [\"131\", 0], \"negative\": [\"134\", 0]}}, \"135\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"130\", 0]}}, \"136\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"130\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "execution", "status": "resolved", "text": "😀\t"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "fox snowfox \u001csnow snow snow \tsnow  fox 😀"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "118", "state": "resolved"}}, "name": "select-fuzz-0-23", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"117\": {\"records\": [{\"text\": \"\\ufeffcaf\\u00e9\\u2028 \", \"negative_text\": \"\\t\\u732b\\t\", \"prepend_text\": \"\\ufeff\\ud83d\\ude00\\u001cdetailed fur\", \"append_text\": \"fox\", \"positive_text\": \"\\ud83d\\ude00\\t\", \"negative_effective_text\": \"\\t\\u732b\\t\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"105\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"\\u0085snow\\u3000\"}}, \"104\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"105\", 0]}}, \"106\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_c\": \"\\u0085\\u732b\\u3000caf\\u00e9\", \"clean_whitespace\": \"true\"}}, \"103\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_b\": [\"104\", 0], \"text_d\": [\"106\", 0], \"clean_whitespace\": \"false\"}}, \"102\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": [\"103\", 0]}}, \"101\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"102\", 0], \"clip\": [\"4\", 1]}}, \"109\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\nfox\", \"negative_text\": \"caf\\u00e9\\u2028 \\ud83d\\ude00\", \"prepend_text\": \"\\u0085\\u732b\", \"append_text\": \"\\ta,\\u001c\"}}, \"108\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"109\", 1]}}, \"107\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"108\", 0]}}, \"110\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"107\", 0], \"latent_image\": [\"111\", 0]}}, \"111\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"107\", 0], \"latent_image\": [\"5\", 0]}}, \"115\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"\\u001csnow\\u3000snow\", \"prepend_text\": \"\\u0085snowfox\", \"append_text\": \"\\tsnow\\u3000\"}}, \"116\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": \"\\tsnow\\u3000\"}}, \"114\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": [\"115\", 0], \"string_b\": [\"116\", 0], \"delimiter\": \" \"}}, \"113\": {\"class_type\": \"StringConstant\", \"inputs\": {\"string\": [\"114\", 0]}}, \"112\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": [\"113\", 0], \"prepend_text\": \"\\nfox\\n\", \"append_text\": \"fox\\u3000\\ud83d\\ude00\", \"clip\": [\"4\", 1]}}, \"117\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\ufeffcaf\\u00e9\\u2028 \", \"negative_text\": \"\\t\\u732b\\t\", \"prepend_text\": \"\\ufeff\\ud83d\\ude00\\u001cdetailed fur\", \"append_text\": \"fox\\u2028 \"}}, \"118\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"112\", 0], \"negative\": [\"117\", 0], \"latent_image\": [\"5\", 0]}}, \"119\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"110\", 0]}}, \"120\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"119\", 0]}}, \"121\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"111\", 0]}}, \"122\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"121\", 0]}}, \"123\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"118\", 0]}}, \"124\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"123\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (PromptSearchList).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt is chosen at run time (PromptSearchList).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "PromptSearchList", "id": "114"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "121", "state": "unresolved"}}, "name": "select-fuzz-0-24", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"101\": {\"records\": [{\"text\": \" a,\\ufeff\", \"negative_text\": \"\\u3000\\u2028 \", \"prepend_text\": \"\\u732b\", \"append_text\": \"a,\", \"positive_text\": \"detailed fur \", \"negative_effective_text\": \"\\u3000\\u2028 \"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \" a,\\ufeff\", \"negative_text\": \"\\u3000\\u2028 \", \"prepend_text\": \" \\u732b\\t\", \"append_text\": \"\\u2028 a,\\t\"}}, \"105\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\u2028 fox\\u3000\", \"strip_newlines\": false}}, \"104\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": [\"105\", 0], \"prepend_text\": \"\\u0085fox\\n\", \"append_text\": \"\\ufeffsnow\\u0085\"}}, \"103\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"104\", 0], \"prepend_text\": \"\\nfox\\u2028 \", \"append_text\": \"a,\", \"clip\": [\"4\", 1]}}, \"108\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \"\\u3000fox\\n\", \"prepend_text\": \"\\ufeffa,\\t\", \"negative_text\": \"\\ufeffcaf\\u00e9\\u3000\"}}, \"109\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"\\nfox\\ufeff\"}}, \"107\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 0], \"on_true\": [\"108\", 0], \"on_false\": [\"109\", 0]}}, \"106\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"107\", 0]}}, \"102\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 1], \"on_true\": [\"103\", 0], \"on_false\": [\"106\", 0]}}, \"110\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"114\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\u2028 detailed fur\\u3000detailed fur\"}}, \"113\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"114\", 0]}}, \"117\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\n\\ud83d\\ude00\\n\", \"clip\": [\"4\", 1]}}, \"116\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"117\", 0]}}, \"119\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\na,\\t\", \"clip\": [\"4\", 1]}}, \"120\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\t\\ud83d\\ude00\\u2028 snow\", \"clip\": [\"4\", 1]}}, \"118\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 1], \"on_true\": [\"119\", 0], \"on_false\": [\"120\", 0]}}, \"115\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"116\", 0], \"conditioning_2\": [\"118\", 0]}}, \"112\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 1], \"on_true\": [\"113\", 0], \"on_false\": [\"115\", 0]}}, \"111\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"112\", 0]}}, \"121\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"111\", 0], \"latent_image\": [\"5\", 0]}}, \"125\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\u2028 \\n\\ud83d\\ude00\", \"text_l\": \"\\u2028 \\n\\ud83d\\ude00\"}}, \"127\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u0085fox\\u732b\", \"clip\": [\"4\", 1]}}, \"128\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\t \\ud83d\\ude00\", \"clip\": [\"4\", 1]}}, \"126\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 1], \"on_true\": [\"127\", 0], \"on_false\": [\"128\", 0]}}, \"124\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": false, \"on_true\": [\"125\", 0], \"on_false\": [\"126\", 0]}}, \"123\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"124\", 0]}}, \"122\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"123\", 0]}}, \"132\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"\\u001cdetailed fur\\ufeff\", \"string_3\": \" snow\\u2028 \", \"inputcount\": 4, \"delimiter\": \",\", \"return_list\": false}}, \"131\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"132\", 0]}}, \"130\": {\"class_type\": \"StringConstant\", \"inputs\": {\"string\": [\"131\", 0]}}, \"129\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"130\", 0], \"prepend_text\": \" \\u732bsnow\", \"append_text\": \"\\u001csnow\\u3000\", \"clip\": [\"4\", 1]}}, \"133\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"122\", 0], \"negative\": [\"129\", 0], \"latent_image\": [\"5\", 0]}}, \"134\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"110\", 0]}}, \"139\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u001c\\u001c\\ud83d\\ude00\", \"clip\": [\"4\", 1]}}, \"138\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"139\", 0]}}, \"137\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"138\", 0]}}, \"136\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"137\", 0]}}, \"135\": {\"class_type\": \"DetailerForEach\", \"inputs\": {\"image\": [\"134\", 0], \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"136\", 0], \"wildcard\": [\"4\", 0]}}, \"140\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"135\", 0]}}, \"141\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"121\", 0]}}, \"142\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"141\", 0]}}, \"143\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"133\", 0]}}, \"144\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"143\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (CLIPTextEncodeSDXL).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (CLIPTextEncodeSDXL).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "CLIPTextEncodeSDXL", "id": "102"}, "reason": "Encoder parts have different texts", "reason_code": "composite", "sampler_id": "112", "state": "unresolved"}}, "name": "select-fuzz-0-25", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"109\": {\"records\": [{\"text\": \" caf\\u00e9\\u3000snow\", \"negative_text\": \"\\u2028 caf\\u00e9\\ufeff\\ud83d\\ude00\", \"prepend_text\": \"\\u732b\", \"append_text\": \"\", \"positive_text\": \"\\u3000detailed fur\\u2028 caf\\u00e9\", \"negative_effective_text\": \"\\u2028 caf\\u00e9\\ufeff\\ud83d\\ude00\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"105\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"\\ncafé\"}}, \"104\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"105\", 0]}}, \"103\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"\\t猫\", \"string_2\": [\"104\", 0], \"inputcount\": 2, \"delimiter\": \",\", \"return_list\": false}}, \"102\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"103\", 0], \"text_l\": \"\\u001c猫 \"}}, \"101\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"102\", 0], \"conditioning_2\": [\"102\", 0]}}, \"109\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \" café snow\", \"negative_text\": \"
 café😀\", \"prepend_text\": \"
 猫\\t\", \"append_text\": \"\\u001c…\"}}, \"108\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"109\", 1], \"conditioning_2\": [\"109\", 1]}}, \"107\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"108\", 0]}}, \"106\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"107\", 0], \"conditioning_2\": [\"107\", 0]}}, \"110\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"106\", 0], \"latent_image\": [\"5\", 0]}}, \"111\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"110\", 0]}}, \"113\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \" \\t猫\", \"negative_text\": \"\\nsnow \", \"prepend_text\": \"
 猫
 \", \"append_text\": \" 猫 \"}}, \"112\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"111\", 0], \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"113\", 1]}}, \"114\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"112\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-26", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"112\": {\"records\": [{\"text\": \"\\ufeffa,\\t\", \"negative_text\": \"\\u3000\\ud83d\\ude00\\ncaf\\u00e9\", \"prepend_text\": \"\", \"append_text\": \"fox\", \"positive_text\": \"\\u0085snow \", \"negative_effective_text\": \"\\u3000\\ud83d\\ude00\\ncaf\\u00e9\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\n\\n\"}}, \"102\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"103\", 0]}}, \"105\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \" \", \"clip\": [\"4\", 1]}}, \"104\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"105\", 0]}}, \"101\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 0], \"on_true\": [\"102\", 0], \"on_false\": [\"104\", 0]}}, \"109\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"…snow\\n\", \"prepend_text\": \" 猫\", \"append_text\": \"\\ta,\\ta,\"}}, \"108\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": [\"109\", 0], \"inputcount\": 1, \"delimiter\": \",\", \"return_list\": false}}, \"107\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"108\", 0], \"prepend_text\": \" a,\\n😀\", \"append_text\": \"
 detailed fur \", \"clip\": [\"4\", 1]}}, \"106\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"107\", 0], \"conditioning_2\": [\"107\", 0]}}, \"110\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"106\", 0], \"latent_image\": [\"5\", 0]}}, \"112\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"a,\\t\", \"negative_text\": \" 😀\\ncafé\", \"prepend_text\": \"\\t
 \", \"append_text\": \"\\tfox\\u001c\"}}, \"111\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"112\", 0]}}, \"113\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"😀\\u001c\"}}, \"114\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"111\", 0], \"negative\": [\"113\", 0], \"latent_image\": [\"5\", 0]}}, \"115\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"110\", 0]}}, \"116\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"115\", 0]}}, \"117\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"114\", 0]}}, \"119\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"猫\\t\"}}, \"120\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\tsnow 😀\"}}, \"118\": {\"class_type\": \"DetailerForEach\", \"inputs\": {\"image\": [\"117\", 0], \"model\": [\"4\", 0], \"positive\": [\"119\", 0], \"negative\": [\"120\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-27", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"127\": {\"records\": [{\"text\": \"\\u2028 \\ud83d\\ude00 \\ud83d\\ude00\", \"negative_text\": \"\\u732b \", \"prepend_text\": \"\\ufeffcaf\\u00e9\", \"append_text\": \"\", \"positive_text\": \" snow\\u001cdetailed fur\", \"negative_effective_text\": \"\\u732b \"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": \"\\u001cdetailed fur \", \"prepend_text\": \"\\u001c猫\\n\", \"negative_text\": \"\\t猫
 a,\"}}, \"101\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"102\", 0]}}, \"103\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"latent_image\": [\"5\", 0]}}, \"104\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"…detailed fur\\n\", \"negative_text\": \"\\u001c猫\\u001c\", \"prepend_text\": \"\\u001csnow…fox\", \"append_text\": \" \"}}, \"106\": {\"class_type\": \"StringConstantMultiline\"}, \"105\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"106\", 0], \"prepend_text\": \"\\ndetailed fur\", \"append_text\": \"\\t\\u001c\", \"clip\": [\"4\", 1]}}, \"107\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"104\", 0], \"negative\": [\"105\", 0], \"latent_image\": [\"5\", 0]}}, \"108\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"103\", 0]}}, \"112\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"…detailed fur\\t\", \"strip_newlines\": true}}, \"111\": {\"class_type\": \"TextInput\", \"inputs\": {\"text\": [\"112\", 0]}}, \"110\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"111\", 0], \"text_l\": [\"111\", 0]}}, \"115\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \" detailed fur…\"}}, \"114\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"115\", 0]}}, \"113\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": [\"114\", 0], \"prepend_text\": \" \\tdetailed fur\", \"negative_text\": \"猫 \"}}, \"109\": {\"class_type\": \"UltimateSDUpscaleNoUpscale\", \"inputs\": {\"model\": [\"4\", 0], \"positive\": [\"110\", 0], \"negative\": [\"113\", 0], \"upscaled_image\": [\"108\", 0]}}, \"120\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u001c😀
 a,\", \"clip\": [\"4\", 1]}}, \"119\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"120\", 0]}}, \"118\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"119\", 0]}}, \"117\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"118\", 0], \"conditioning_2\": [\"118\", 0]}}, \"121\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"…\\n\", \"clip\": [\"4\", 1]}}, \"116\": {\"class_type\": \"DetailerForEach\", \"inputs\": {\"image\": [\"109\", 0], \"model\": [\"4\", 0], \"positive\": [\"117\", 0], \"negative\": [\"121\", 0]}}, \"122\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"116\", 0]}}, \"123\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"107\", 0]}}, \"127\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"
 😀 😀\", \"negative_text\": \"猫 \", \"prepend_text\": \"café\\t\", \"append_text\": \"\\t\"}}, \"129\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a,\\t\", \"clip\": [\"4\", 1]}}, \"128\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"129\", 0]}}, \"126\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"127\", 0], \"conditioning_2\": [\"128\", 0]}}, \"131\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\u001ca,
 \", \"strip_newlines\": false}}, \"130\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"131\", 0], \"clip\": [\"4\", 1]}}, \"125\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": false, \"on_true\": [\"126\", 0], \"on_false\": [\"130\", 0]}}, \"135\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\n…\", \"clip\": [\"4\", 1]}}, \"134\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"135\", 0]}}, \"133\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"134\", 0]}}, \"138\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u001c猫\", \"clip\": [\"4\", 1]}}, \"137\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"138\", 0]}}, \"139\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": \"\\ndetailed fur…\", \"prepend_text\": \" \", \"negative_text\": \"a,猫\"}}, \"136\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 1], \"on_true\": [\"137\", 0], \"on_false\": [\"139\", 0]}}, \"132\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 0], \"on_true\": [\"133\", 0], \"on_false\": [\"136\", 0]}}, \"124\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"123\", 0], \"model\": [\"4\", 0], \"positive\": [\"125\", 0], \"negative\": [\"132\", 0]}}, \"140\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"124\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-28", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"101\": {\"records\": [{\"text\": \"\\u001c\\u732b \", \"negative_text\": \"\\u2028 \\u0085\", \"prepend_text\": \"\\u732b\", \"append_text\": \"\", \"positive_text\": \"snow\\u0085\", \"negative_effective_text\": \"\\u2028 \\u0085\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u001c\\u732b \", \"negative_text\": \"\\u2028 \\u0085\", \"prepend_text\": \"\\u732b\\u001c\", \"append_text\": \"\\u3000\\u2028 \"}}, \"102\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\u001c\\u3000\"}}, \"103\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 1], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"104\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 1], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"105\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 1], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"106\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"103\", 0]}}, \"107\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"104\", 0]}}, \"110\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\u0085fox\\u3000\"}}, \"109\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"110\", 0]}}, \"114\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"\\ndetailed fur\"}}, \"113\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"114\", 0]}}, \"112\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"113\", 0], \"text_l\": [\"113\", 0]}}, \"116\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_a\": \"detailed fur\\u3000detailed fur\", \"text_d\": \"\\ufeff\\ud83d\\ude00\\u2028 \", \"text_c\": \"\\tsnow \", \"clean_whitespace\": true}}, \"115\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": [\"116\", 0], \"prepend_text\": \"\\u001c\\ud83d\\ude00\\u001c\", \"negative_text\": \"\\u001ca,\\ufeff\\ud83d\\ude00\"}}, \"111\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"112\", 0], \"conditioning_2\": [\"115\", 0]}}, \"108\": {\"class_type\": \"UltimateSDUpscaleNoUpscale\", \"inputs\": {\"model\": [\"4\", 0], \"positive\": [\"109\", 0], \"negative\": [\"111\", 0], \"upscaled_image\": [\"107\", 0]}}, \"118\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u3000snow\\u3000snow\", \"negative_text\": \"\\u0085fox\\u001c\", \"prepend_text\": \"foxcaf\\u00e9\", \"append_text\": \"\\ufeffsnow\\tcaf\\u00e9\"}}, \"117\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"108\", 0], \"model\": [\"4\", 0], \"positive\": [\"101\", 1], \"negative\": [\"118\", 0]}}, \"119\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"117\", 0]}}, \"120\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"105\", 0]}}, \"122\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"\\ufeffcaf\\u00e9\\u2028 a,\", \"prepend_text\": \"\\u3000caf\\u00e9 \", \"append_text\": \"\\u732b \", \"clip\": [\"4\", 1]}}, \"121\": {\"class_type\": \"UltimateSDUpscaleNoUpscale\", \"inputs\": {\"model\": [\"4\", 0], \"positive\": [\"101\", 1], \"negative\": [\"122\", 0], \"upscaled_image\": [\"120\", 0]}}, \"123\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"121\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-29", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\u3000a,\\u001c\", \"text_l\": \"\\u3000a,\\u001c\"}}, \"101\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"102\", 0]}}, \"103\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\ncaf\\u00e9\\t\", \"clip\": [\"4\", 1]}}, \"104\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"105\", 0]}}, \"105\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"5\", 0]}}, \"106\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u0085a,\\n\", \"clip\": [\"4\", 1]}}, \"109\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \" \\u732b\\u0085\"}}, \"108\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"109\", 0]}}, \"107\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": [\"108\", 0], \"prepend_text\": \" \\ud83d\\ude00\\u3000\", \"negative_text\": \"a,\\n\"}}, \"110\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"106\", 0], \"negative\": [\"107\", 0], \"latent_image\": [\"104\", 0]}}, \"111\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"104\", 0]}}, \"115\": {\"class_type\": \"StringConstant\", \"inputs\": {\"text\": \"\\ncaf\\u00e9\\u001c\"}}, \"114\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": [\"115\", 0], \"inputcount\": 1, \"delimiter\": \" \", \"return_list\": false}}, \"113\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"114\", 0], \"clip\": [\"4\", 1]}}, \"112\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"111\", 0], \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"113\", 0]}}, \"116\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"105\", 0]}}, \"117\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"116\", 0]}}, \"121\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\u732b\\ufeff\", \"strip_newlines\": false}}, \"120\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": [\"121\", 0], \"prepend_text\": \"\\u0085a,\\u0085fox\", \"append_text\": \"\\u3000a,\\t\", \"clip\": [\"4\", 1]}}, \"123\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"\\u732b\\ufeff\"}}, \"122\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"123\", 0]}}, \"119\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": false, \"on_true\": [\"120\", 0], \"on_false\": [\"122\", 0]}}, \"118\": {\"class_type\": \"DetailerForEach\", \"inputs\": {\"image\": [\"116\", 0], \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"119\", 0]}}, \"124\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"118\", 0]}}, \"125\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"110\", 0]}}, \"126\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"125\", 0]}}, \"127\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"125\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (JoinStringMulti).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt is chosen at run time (JoinStringMulti).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "JoinStringMulti", "id": "104"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "107", "state": "unresolved"}}, "name": "select-fuzz-0-30", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"\\u001c😀\\u001c\", \"string_2\": \"猫 detailed fur\", \"string_3\": \"detailed fur
 😀\", \"inputcount\": 3, \"delimiter\": \" \", \"return_list\": true}}, \"103\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"
 detailed fur…\", \"string_2\": [\"104\", 0], \"inputcount\": 2, \"delimiter\": \",\", \"return_list\": false}}, \"102\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"103\", 0], \"text_l\": [\"103\", 0]}}, \"101\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"102\", 0]}}, \"106\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": \" snow\\n\"}}, \"105\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": [\"106\", 0], \"prepend_text\": \"\\t…\", \"negative_text\": \"\\t\\u001c\"}}, \"107\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"105\", 0], \"latent_image\": [\"5\", 0]}}, \"108\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"107\", 0]}}, \"109\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"108\", 0]}}, \"110\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"108\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-31", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"102\": {\"records\": [{\"text\": \"\\tsnow\\u0085fox\", \"negative_text\": \"\\ufeff \", \"prepend_text\": \"caf\\u00e9\\ufeff\", \"append_text\": \"snow\", \"positive_text\": \"\\ufeffa,\", \"negative_effective_text\": \"\\ufeff \"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\tsnow…fox\", \"negative_text\": \" \", \"prepend_text\": \"café\", \"append_text\": \"\\u001csnow\\u001c\"}}, \"101\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"102\", 0]}}, \"103\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\u001ca,\\t\", \"text_l\": \"\"}}, \"104\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"104\", 0]}}, \"107\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\t…\", \"strip_newlines\": false}}, \"106\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_b\": [\"107\", 0], \"text_d\": \"\\t\\t\", \"clean_whitespace\": \"true\"}}, \"105\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"106\", 0], \"prepend_text\": \"café \", \"append_text\": \"a,\\ta,\", \"clip\": [\"4\", 1]}}, \"109\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"…😀…\", \"text_l\": \"\\n😀\\tcafé\"}}, \"112\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"detailed fur \", \"inputcount\": 1, \"delimiter\": \",\", \"return_list\": false}}, \"111\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"112\", 0], \"text_l\": \"snow\\t\"}}, \"110\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"111\", 0]}}, \"108\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": true, \"on_true\": [\"109\", 0], \"on_false\": [\"110\", 0]}}, \"113\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"105\", 0], \"negative\": [\"108\", 0], \"latent_image\": [\"5\", 0]}}, \"114\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"104\", 0]}}, \"118\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"\\tdetailed fur\\u001c\", \"string_2\": \"\\tsnow\\n\", \"inputcount\": 3, \"delimiter\": \",\", \"return_list\": false}}, \"117\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": [\"118\", 0], \"prepend_text\": \"snow…\", \"append_text\": \"\\u001ccafé\", \"clip\": [\"4\", 1]}}, \"116\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"117\", 0], \"conditioning_2\": [\"117\", 0]}}, \"115\": {\"class_type\": \"DetailerForEach\", \"inputs\": {\"image\": [\"114\", 0], \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"116\", 0], \"wildcard\": \"x\"}}, \"119\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"115\", 0]}}, \"120\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"113\", 0]}}, \"121\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"120\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-32", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"102\": {\"records\": [{\"text\": \"\\u001cfox\\tsnow\", \"negative_text\": \"\\u001c\\t\", \"prepend_text\": \"detailed fur\", \"append_text\": \"\\u732b\", \"positive_text\": \"\\tfox\", \"negative_effective_text\": \"\\u001c\\t\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u001cfox\\tsnow\", \"negative_text\": \"\\u001c\\t\", \"prepend_text\": \"
 detailed fur \", \"append_text\": \"…猫…\"}}, \"103\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\u001c猫 \", \"text_l\": \"\\ta, \"}}, \"101\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 1], \"on_true\": [\"102\", 1], \"on_false\": [\"103\", 0]}}, \"104\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"latent_image\": [\"5\", 0]}}, \"108\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"fox 猫\", \"clip\": [\"4\", 1]}}, \"107\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"108\", 0]}}, \"106\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"107\", 0]}}, \"105\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"106\", 0]}}, \"109\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"…😀\\u001c\"}}, \"110\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"105\", 0], \"negative\": [\"109\", 0], \"latent_image\": [\"5\", 0]}}, \"111\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"104\", 0]}}, \"112\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"111\", 0]}}, \"113\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"111\", 0]}}, \"114\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"110\", 0]}}, \"115\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"114\", 0]}}, \"116\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"114\", 0]}}, \"117\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"114\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-33", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"😀 \", \"clip\": [\"4\", 1]}}, \"102\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\t\\n\"}}, \"103\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"107\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_d\": \"\\ndetailed fur\\tfox\", \"text_a\": \"
 fox \", \"text_b\": \" café\\t\", \"clean_whitespace\": true}}, \"106\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": [\"107\", 0], \"string_2\": \" \\t\", \"inputcount\": 2, \"delimiter\": \" \", \"return_list\": false}}, \"105\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"106\", 0], \"text_l\": \"\"}}, \"104\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"105\", 0]}}, \"108\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"104\", 0], \"latent_image\": [\"5\", 0]}}, \"109\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"104\", 0], \"latent_image\": [\"5\", 0]}}, \"110\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"103\", 0]}}, \"111\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"110\", 0]}}, \"112\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"110\", 0]}}, \"113\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"108\", 0]}}, \"115\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"猫…\", \"text_l\": \"猫…\"}}, \"116\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"\\u001cfox\", \"prepend_text\": \"…a,\\t\", \"append_text\": \"
 😀café\", \"clip\": [\"4\", 1]}}, \"114\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"113\", 0], \"model\": [\"4\", 0], \"positive\": [\"115\", 0], \"negative\": [\"116\", 0]}}, \"117\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"109\", 0]}}, \"121\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \" café\\u001c\", \"prepend_text\": \"\\ta,\", \"append_text\": \"\\tdetailed furcafé\"}}, \"120\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": [\"121\", 0]}}, \"119\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"120\", 0], \"prepend_text\": \"\\tsnow \", \"append_text\": \"
 
 \", \"clip\": [\"4\", 1]}}, \"118\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"117\", 0], \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"119\", 0]}}, \"122\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"118\", 0]}}, \"123\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"118\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "select-fuzz-0-34", "records": {"parameters": "Negative prompt: blur"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-35", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"102\": {\"records\": [{\"text\": \"\\u001c\\u3000\", \"negative_text\": \"\\n\", \"prepend_text\": \"a,\", \"append_text\": \"\\ud83d\\ude00\\t\\ud83d\\ude00\", \"positive_text\": \" a,\\u3000\\ud83d\\ude00\", \"negative_effective_text\": \"\\n\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"detailed fur\\u0085\\ud83d\\ude00\"}}, \"102\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u001c\\u3000\", \"negative_text\": \"\\n\", \"prepend_text\": \"\\u3000a,\\n\", \"append_text\": \"\\u0085\\ud83d\\ude00\\t\\ud83d\\ude00\"}}, \"103\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"104\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"105\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"103\", 0]}}, \"106\": {\"class_type\": \"PreviewAny\"}, \"107\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"104\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-36", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_b\": \"\\u001csnow\\t\", \"text_c\": \"
 fox…\", \"clean_whitespace\": true}}, \"105\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \" a, \", \"inputcount\": 1, \"delimiter\": \",\", \"return_list\": false}}, \"103\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_a\": \" fox\", \"text_b\": [\"104\", 0], \"text_c\": [\"105\", 0], \"clean_whitespace\": \"false\"}}, \"102\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"103\", 0], \"text_l\": \"\\u001ccafé…fox\"}}, \"101\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"102\", 0]}}, \"107\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": \"café\", \"prepend_text\": \"fox detailed fur\", \"append_text\": \"\\t猫
 fox\", \"clip\": [\"4\", 1]}}, \"106\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"107\", 0]}}, \"108\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"106\", 0], \"latent_image\": [\"5\", 0]}}, \"112\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": \"fox\\n\"}}, \"111\": {\"class_type\": \"StringConstant\", \"inputs\": {\"text\": [\"112\", 0]}}, \"110\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": [\"111\", 0], \"prepend_text\": \"\\t猫\\nsnow\", \"append_text\": \"\\u001ca,…\", \"clip\": [\"4\", 1]}}, \"109\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"110\", 0]}}, \"115\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": \" snowdetailed fur\", \"prepend_text\": \"\\ndetailed fur \", \"append_text\": \"…fox
 detailed fur\", \"clip\": [\"4\", 1]}}, \"114\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"115\", 0]}}, \"113\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"114\", 0]}}, \"116\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"109\", 0], \"negative\": [\"113\", 0], \"latent_image\": [\"108\", 0]}}, \"117\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"108\", 0]}}, \"118\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"116\", 0]}}, \"120\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\tcafé
 \", \"clip\": [\"4\", 1]}}, \"119\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"118\", 0], \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"120\", 0]}}, \"121\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"119\", 0]}}, \"122\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"119\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-37", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \"\\na,\\n\\u732b\", \"string_b\": \"\\u3000snow\\u2028 \", \"delimiter\": \" \"}}, \"102\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \" \\ud83d\\ude00\\ufeff\", \"string_2\": [\"103\", 0], \"inputcount\": 2, \"delimiter\": \" \", \"return_list\": false}}, \"101\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": [\"102\", 0], \"prepend_text\": \"\\u0085detailed fur\", \"append_text\": \"detailed fur \\u732b\", \"clip\": [\"4\", 1]}}, \"106\": {\"class_type\": \"TextInput\", \"inputs\": {\"string\": \" \\ud83d\\ude00\\u001c\\ud83d\\ude00\"}}, \"105\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": [\"106\", 0], \"string_b\": \"\\u2028 \\u732b \", \"delimiter\": \"\"}}, \"104\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"105\", 0], \"text_l\": [\"105\", 0]}}, \"107\": {\"class_type\": \"KSamplerAdvanced\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"104\", 0], \"latent_image\": [\"5\", 0]}}, \"110\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"detailed fur \", \"prepend_text\": \"\\tsnow \", \"append_text\": \"\\n\\ud83d\\ude00 \"}}, \"109\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_c\": \"\\ufeffdetailed fur\\ufeff\", \"text_d\": [\"110\", 0], \"clean_whitespace\": true}}, \"108\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"109\", 0], \"text_l\": \"\\u001cfox\"}}, \"114\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \" caf\\u00e9\\u001c\"}}, \"113\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"114\", 0]}}, \"112\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"113\", 0]}}, \"111\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"112\", 0]}}, \"115\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"108\", 0], \"negative\": [\"111\", 0], \"latent_image\": [\"5\", 0]}}, \"116\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"107\", 0]}}, \"117\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"115\", 0]}}, \"121\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \" snow\\ufeff\", \"strip_newlines\": false}}, \"120\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"121\", 0], \"text_l\": [\"121\", 0]}}, \"123\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\nfox\\u3000a,\", \"text_l\": \"\\nfox\\u3000a,\"}}, \"122\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"123\", 0]}}, \"119\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": false, \"on_true\": [\"120\", 0], \"on_false\": [\"122\", 0]}}, \"118\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"117\", 0], \"model\": [\"4\", 0], \"positive\": [\"108\", 0], \"negative\": [\"119\", 0]}}, \"124\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"118\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "execution", "status": "resolved", "text": " a,"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a,a,"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "105", "state": "resolved"}}, "name": "select-fuzz-0-38", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"104\": {\"records\": [{\"text\": \"\\u3000fox\\u2028 \", \"negative_text\": \" a,\", \"prepend_text\": \"caf\\u00e9\", \"append_text\": \"\\ud83d\\ude00\", \"positive_text\": \" \\u732b\\u3000\", \"negative_effective_text\": \" a,\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"a,\\u0085\"}}, \"102\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"103\", 0]}}, \"101\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": [\"102\", 0], \"prepend_text\": \"\\u0085a,\\u0085\", \"negative_text\": \"\\u3000\\u732b\"}}, \"104\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u3000fox\\u2028 \", \"negative_text\": \" a,\", \"prepend_text\": \" caf\\u00e9\", \"append_text\": \"\\u2028 \\ud83d\\ude00\\n\"}}, \"105\": {\"class_type\": \"KSamplerAdvanced\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"104\", 1], \"latent_image\": [\"5\", 0]}}, \"106\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"105\", 0]}}, \"107\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"106\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "\n猫 fox"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "猫a,caféfox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "103", "state": "resolved"}}, "name": "select-fuzz-0-39", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": \"caféfox\", \"prepend_text\": \"\\n猫a,\", \"negative_text\": \"
 a,\"}}, \"102\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\n猫 fox\", \"clip\": [\"4\", 1]}}, \"103\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"107\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\t😀
 detailed fur\", \"strip_newlines\": true}}, \"106\": {\"class_type\": \"StringConstant\", \"inputs\": {\"text\": [\"107\", 0]}}, \"105\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"106\", 0], \"prepend_text\": \"猫 😀\", \"append_text\": \" a,\\u001c\", \"clip\": [\"4\", 1]}}, \"104\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"105\", 0]}}, \"108\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \"\\u001ca, \", \"prepend_text\": \"…fox \", \"negative_text\": \"…snow
 fox\"}}, \"109\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"104\", 0], \"negative\": [\"108\", 0], \"latent_image\": [\"5\", 0]}}, \"110\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"104\", 0], \"negative\": [\"108\", 0], \"latent_image\": [\"5\", 0]}}, \"111\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"103\", 0]}}, \"112\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"109\", 0]}}, \"113\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"112\", 0]}}, \"114\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"110\", 0]}}, \"115\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"114\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Cyclic latent ancestry", "reason_code": "malformed", "sampler_id": "103", "state": "unresolved"}}, "name": "select-fuzz-0-40", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \"😀 \", \"prepend_text\": \" café \", \"negative_text\": \"…😀\\n\"}}, \"102\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \" snow\\t\", \"prepend_text\": \"\\u001ca,…\", \"negative_text\": \" a,\\t\"}}, \"103\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"103\", 0]}}, \"104\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"103\", 0]}}, \"105\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"104\", 0]}}, \"106\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"104\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-41", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"108\": {\"records\": [{\"text\": \"\\u001csnow\\t\\ud83d\\ude00!\", \"negative_text\": \"\\u3000\\ud83d\\ude00 \", \"prepend_text\": \"\\ud83d\\ude00\\u0085\\u732b\", \"append_text\": \"\\ufefffox\", \"positive_text\": \"\\nsnow\\u2028 a,\", \"negative_effective_text\": \"\\u3000\\ud83d\\ude00 \"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": \"café\\n\", \"prepend_text\": \"\\nsnow\", \"negative_text\": \" fox…fox\"}}, \"103\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"104\", 0], \"conditioning_2\": [\"104\", 0]}}, \"107\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\t \", \"clip\": [\"4\", 1]}}, \"106\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"107\", 0]}}, \"108\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u001csnow\\t😀\", \"negative_text\": \" 😀 \", \"prepend_text\": \"…😀…猫\", \"append_text\": \"fox \"}}, \"105\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"106\", 0], \"conditioning_2\": [\"108\", 0]}}, \"102\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 0], \"on_true\": [\"103\", 0], \"on_false\": [\"105\", 0]}}, \"101\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"102\", 0]}}, \"110\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \"😀\\t😀\", \"prepend_text\": \"…😀\\n\", \"negative_text\": \"snow\\t\"}}, \"109\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"110\", 0]}}, \"111\": {\"class_type\": \"KSamplerAdvanced\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"109\", 0], \"latent_image\": [\"5\", 0]}}, \"112\": {\"class_type\": \"KSamplerAdvanced\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"109\", 0], \"latent_image\": [\"5\", 0]}}, \"116\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\tcafé
 detailed fur\", \"text_l\": \"\\tcafé
 detailed fur\"}}, \"115\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"116\", 0]}}, \"114\": {\"class_type\": null, \"inputs\": {\"value\": [\"115\", 0]}}, \"113\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"114\", 0]}}, \"118\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a,…\", \"clip\": [\"4\", 1]}}, \"117\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"118\", 0]}}, \"119\": {\"class_type\": \"KSamplerAdvanced\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"113\", 0], \"negative\": [\"117\", 0], \"latent_image\": [\"5\", 0]}}, \"120\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"111\", 0]}}, \"125\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\ncafé\\t\", \"clip\": [\"4\", 1]}}, \"124\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"125\", 0]}}, \"126\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"…snow\\t\", \"text_l\": \"…snow\\t\"}}, \"123\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"124\", 0], \"conditioning_2\": [\"126\", 0]}}, \"122\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"123\", 0]}}, \"128\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": \"…café\\u001c\", \"prepend_text\": \"\\ta,\", \"append_text\": \"…a,\\u001c\", \"clip\": [\"4\", 1]}}, \"127\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"128\", 0]}}, \"121\": {\"class_type\": \"UltimateSDUpscaleNoUpscale\", \"inputs\": {\"model\": [\"4\", 0], \"positive\": [\"122\", 0], \"negative\": [\"127\", 0], \"upscaled_image\": [\"120\", 0]}}, \"129\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"121\", 0]}}, \"130\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"112\", 0]}}, \"131\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"130\", 0]}}, \"132\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"130\", 0]}}, \"133\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"119\", 0]}}, \"135\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \" \", \"clip\": [\"4\", 1]}}, \"134\": {\"class_type\": \"DetailerForEach\", \"inputs\": {\"image\": [\"133\", 0], \"model\": [\"4\", 0], \"positive\": [\"113\", 0], \"negative\": [\"135\", 0]}}, \"138\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\ndetailed fur\", \"strip_newlines\": false}}, \"137\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"138\", 0], \"prepend_text\": \" detailed fur café\", \"append_text\": \"\\ta, \", \"clip\": [\"4\", 1]}}, \"141\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"\\t😀\", \"prepend_text\": \"a,\", \"append_text\": \"
 猫\\u001c\", \"clip\": [\"4\", 1]}}, \"140\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"141\", 0]}}, \"139\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"140\", 0]}}, \"136\": {\"class_type\": \"UltimateSDUpscaleNoUpscale\", \"inputs\": {\"model\": [\"4\", 0], \"positive\": [\"137\", 0], \"negative\": [\"139\", 0], \"upscaled_image\": [\"134\", 0]}}, \"142\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"136\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "snow\t"}}, "resolution": {"node": {"class_type": "ConditioningCombine", "id": "117"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "110", "state": "unresolved"}}, "name": "select-fuzz-0-42", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u3000caf\\u00e9\\u001c\", \"clip\": [\"4\", 1]}}, \"101\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"102\", 0]}}, \"103\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\tdetailed fur\\ufeff\", \"negative_text\": \"\\ufeffcaf\\u00e9\", \"prepend_text\": \"\\u3000detailed fur\\u0085\", \"append_text\": \"\\t\\ud83d\\ude00\\ufeff\\u732b\"}}, \"104\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"104\", 0]}}, \"105\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"104\", 0]}}, \"109\": {\"class_type\": \"StringConstant\", \"inputs\": {\"text\": \"\\u001ccaf\\u00e9\\t\"}}, \"108\": {\"class_type\": \"StringConstant\", \"inputs\": {\"text\": [\"109\", 0]}}, \"107\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"108\", 0], \"clip\": [\"4\", 1]}}, \"106\": {\"class_type\": \"UltimateSDUpscaleNoUpscale\", \"inputs\": {\"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"107\", 0], \"upscaled_image\": [\"105\", 0]}}, \"114\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"snow\\t\", \"clip\": [\"4\", 1]}}, \"113\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"114\", 0]}}, \"112\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"113\", 0]}}, \"111\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"112\", 0]}}, \"118\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\tfox\\u001c\", \"clip\": [\"4\", 1]}}, \"119\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \" detailed fur\\u001c\", \"clip\": [\"4\", 1]}}, \"117\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"118\", 0], \"conditioning_2\": [\"119\", 0]}}, \"120\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \" fox\", \"negative_text\": \"\\u3000\\u0085\", \"prepend_text\": \"\\nsnow\\u3000\", \"append_text\": \" \\ud83d\\ude00\\u2028 \"}}, \"116\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"117\", 0], \"conditioning_2\": [\"120\", 1]}}, \"115\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"116\", 0]}}, \"110\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"106\", 0], \"model\": [\"4\", 0], \"positive\": [\"111\", 0], \"negative\": [\"115\", 0]}}, \"121\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"110\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "select-fuzz-0-43", "records": {"parameters": " snow \n\n猫…\n café "}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "absent", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "😀 …snow 猫"}}, "resolution": {"node": null, "reason": "Negative input is absent", "reason_code": null, "sampler_id": "103", "state": "absent"}}, "name": "select-fuzz-0-44", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"\\u0085snow \", \"prepend_text\": \"\\t\\ud83d\\ude00\\n\", \"append_text\": \"\\t\\u732b\\u3000\", \"clip\": [\"4\", 1]}}, \"102\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"latent_image\": [\"5\", 0]}}, \"103\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"latent_image\": [\"5\", 0]}}, \"107\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\ufeff\\u732b\", \"strip_newlines\": true}}, \"106\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"107\", 0]}}, \"105\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"106\", 0]}}, \"104\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"105\", 0], \"text_l\": [\"105\", 0]}}, \"108\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u0085snow\\u001c\", \"clip\": [\"4\", 1]}}, \"109\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"104\", 0], \"negative\": [\"108\", 0], \"latent_image\": [\"5\", 0]}}, \"110\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"102\", 0]}}, \"111\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"110\", 0]}}, \"112\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"103\", 0]}}, \"113\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"112\", 0]}}, \"114\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"109\", 0]}}, \"115\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"114\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "zeroed-conditioning", "status": "resolved", "text": ""}, "positive": {"source": "graph-inferred", "status": "resolved", "text": ", 猫"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "108", "state": "resolved"}}, "name": "select-fuzz-0-45", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\n\\u732b \", \"strip_newlines\": false}}, \"101\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": [\"102\", 0], \"prepend_text\": \" \\ufeff\", \"negative_text\": \"\\u001c\\n\"}}, \"106\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": \"\\u3000\\ud83d\\ude00\\u3000\", \"prepend_text\": \" \\u732b\\u0085\", \"append_text\": \"\\u001cfox\\u001c\", \"clip\": [\"4\", 1]}}, \"105\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"106\", 0]}}, \"104\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"105\", 0]}}, \"103\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"104\", 0]}}, \"107\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"5\", 0]}}, \"108\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"5\", 0]}}, \"109\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"107\", 0]}}, \"110\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"109\", 0]}}, \"111\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"108\", 0]}}, \"112\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"111\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "select-fuzz-0-46", "records": {"parameters": "\u001c… 
 detailed fur Negative prompt: fox…\n"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Expected a typed graph link or text input", "reason_code": "malformed", "sampler_id": "109", "state": "unresolved"}}, "name": "select-fuzz-0-47", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"108\": {\"records\": [{\"text\": \"\\u2028 detailed fur\\t\", \"negative_text\": \"\\tfox\\u001c\", \"prepend_text\": \"\\ufeff\", \"append_text\": \"\\u732b \\u732b\", \"positive_text\": \"\\u001c\\u732b\\u2028 \", \"negative_effective_text\": \"\\tfox\\u001c\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"TextInput\", \"inputs\": {\"string\": \" café \"}}, \"103\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": [\"104\", 0]}}, \"106\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"\\nfox
 \", \"string_4\": \"snow\\nsnow\", \"inputcount\": 4, \"delimiter\": \" \", \"return_list\": false}}, \"105\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": [\"106\", 0], \"strip_newlines\": false}}, \"102\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": [\"103\", 0], \"string_b\": [\"105\", 0], \"delimiter\": \", \"}}, \"101\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"102\", 0], \"clip\": [\"4\", 1]}}, \"108\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"
 detailed fur\\t\", \"negative_text\": \"\\tfox\\u001c\", \"prepend_text\": \" \", \"append_text\": \"
 猫 猫\"}}, \"107\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"108\", 0]}}, \"109\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"107\", 0], \"latent_image\": [\"5\", 0]}}, \"111\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\nsnow\\n\", \"text_l\": \"\\nsnow\\n\"}}, \"110\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"111\", 0]}}, \"113\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"…detailed fur \", \"strip_newlines\": false}}, \"112\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"113\", 0], \"prepend_text\": \"snow\\t\", \"append_text\": \"
 😀\\u001cdetailed fur\", \"clip\": [\"4\", 1]}}, \"114\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"110\", 0], \"negative\": [\"112\", 0], \"latent_image\": [\"5\", 0]}}, \"115\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"109\", 0]}}, \"116\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"114\", 0]}}, \"117\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"116\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-48", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"105\": {\"records\": [{\"text\": \"\\u3000\\tfox\", \"negative_text\": \"\\u2028 detailed fur\\u0085a,\", \"prepend_text\": \"detailed fur\", \"append_text\": \"detailed fur\\ufeff\", \"positive_text\": \"\\nsnow\\u2028 \", \"negative_effective_text\": \"\\u2028 detailed fur\\u0085a,\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\ta, 😀\", \"strip_newlines\": false}}, \"103\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": [\"104\", 0]}}, \"102\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": [\"103\", 0], \"prepend_text\": \"\\nsnow\\u001c猫\", \"negative_text\": \"\\ncafé\"}}, \"101\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"102\", 0], \"conditioning_2\": [\"102\", 0]}}, \"105\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \" \\tfox\", \"negative_text\": \"
 detailed fur…a,\", \"prepend_text\": \"
 detailed fur\", \"append_text\": \"detailed fur\"}}, \"106\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"105\", 0], \"latent_image\": [\"5\", 0]}}, \"107\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"105\", 0], \"latent_image\": [\"107\", 0]}}, \"108\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"106\", 0]}}, \"109\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"108\", 0]}}, \"110\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"108\", 0]}}, \"111\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"107\", 0]}}, \"112\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"111\", 0]}}, \"115\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"
 café\\t\", \"prepend_text\": \"\\n😀
 \", \"append_text\": \"猫\", \"clip\": [\"4\", 1]}}, \"116\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"\\u001c\\u001ca,\"}}, \"114\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 0], \"on_true\": [\"115\", 0], \"on_false\": [\"116\", 0]}}, \"113\": {\"class_type\": \"UltimateSDUpscaleNoUpscale\", \"inputs\": {\"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"114\", 0], \"upscaled_image\": [\"111\", 0]}}, \"117\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"113\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "select-fuzz-0-49", "records": {"parameters": "Negative Template: n Steps: x\r\n"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-50", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"101\": {\"records\": [{\"text\": \"\\u2028 snow\\u3000\", \"negative_text\": \" detailed fur\\ufeff\", \"prepend_text\": \"\", \"append_text\": \"detailed fur\", \"positive_text\": \"\\u001c\\ud83d\\ude00\\t\", \"negative_effective_text\": \" detailed fur\\ufeff\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"
 snow \", \"negative_text\": \" detailed fur\", \"prepend_text\": \" \\t\", \"append_text\": \"\\tdetailed fur
 \"}}, \"104\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\n
 \", \"negative_text\": \"
 fox\\n\", \"prepend_text\": \"
 猫\\u001ca,\", \"append_text\": \"\\u001cdetailed fur\\t😀\"}}, \"103\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"104\", 0]}}, \"102\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"103\", 0]}}, \"105\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"106\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"107\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"105\", 0]}}, \"108\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"107\", 0]}}, \"109\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"107\", 0]}}, \"110\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"106\", 0]}}, \"114\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\ncafé\", \"strip_newlines\": true}}, \"113\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \"detailed fur 猫\", \"string_b\": [\"114\", 0], \"delimiter\": \", \"}}, \"112\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"113\", 0], \"prepend_text\": \"\\nfox \", \"append_text\": \" detailed fur \", \"clip\": [\"4\", 1]}}, \"111\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"110\", 0], \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"112\", 0]}}, \"115\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"111\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": "107", "state": "unresolved"}}, "name": "select-fuzz-0-51", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \" a, \", \"prepend_text\": \"…猫\", \"negative_text\": \"…\\n\"}}, \"105\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \" detailed fur\\n\", \"clip\": [\"4\", 1]}}, \"103\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"104\", 0], \"conditioning_2\": [\"105\", 0]}}, \"102\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"103\", 0]}}, \"101\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"102\", 0]}}, \"106\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"
 \\tfox\", \"negative_text\": \"
 \", \"prepend_text\": \"…café \", \"append_text\": \"…\\n\"}}, \"107\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"106\", 1], \"latent_image\": [\"5\", 0]}}, \"108\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"107\", 0]}}, \"109\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"108\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Sampler stages have different prompts", "reason_code": "multistage-differs", "sampler_id": "108", "state": "ambiguous"}}, "name": "select-fuzz-0-52", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"\\u001c
 \", \"prepend_text\": \"snow\\u001cdetailed fur\", \"append_text\": \"a,\"}}, \"102\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"103\", 0], \"clip\": [\"4\", 1]}}, \"101\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"102\", 0]}}, \"104\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \"\\ncafé
 snow\", \"prepend_text\": \"\\tfox
 \", \"negative_text\": \"
 
 \"}}, \"105\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"104\", 0], \"latent_image\": [\"5\", 0]}}, \"106\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"105\", 0]}}, \"107\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"106\", 0]}}, \"109\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \" snow\", \"clip\": [\"4\", 1]}}, \"112\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\u001cfox\\t\", \"text_l\": \"\\u001cfox\\t\"}}, \"111\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"112\", 0]}}, \"110\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"111\", 0]}}, \"108\": {\"class_type\": \"UltimateSDUpscaleNoUpscale\", \"inputs\": {\"model\": [\"4\", 0], \"positive\": [\"109\", 0], \"negative\": [\"110\", 0], \"upscaled_image\": [\"106\", 0]}}, \"113\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"missing\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-53", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"124\": {\"records\": [{\"text\": \"a,\\n\", \"negative_text\": \"\\n\\u2028 \", \"prepend_text\": \"a,\", \"append_text\": \"detailed fur\", \"positive_text\": \"\\ncaf\\u00e9\\u0085\", \"negative_effective_text\": \"\\n\\u2028 \"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\ufeff\"}}, \"105\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \"\\u2028 caf\\u00e9 \", \"string_b\": \"\\u0085\\u732b\\u2028 \", \"delimiter\": \" \"}}, \"104\": {\"class_type\": \"TextInput\", \"inputs\": {\"string\": [\"105\", 0]}}, \"103\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": [\"104\", 0]}}, \"102\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"103\", 0], \"clip\": [\"4\", 1]}}, \"106\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"108\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\tcaf\\u00e9\\u0085\\ud83d\\ude00\", \"negative_text\": \"\\u3000detailed fur\\u2028 caf\\u00e9\", \"prepend_text\": \" a,\\u3000caf\\u00e9\", \"append_text\": \"detailed fur\\u2028 \\ud83d\\ude00\"}}, \"110\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"fox\\n\", \"clip\": [\"4\", 1]}}, \"112\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\u001c\\ud83d\\ude00\\ufeffsnow\"}}, \"113\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"\\u001c\\ud83d\\ude00 \", \"prepend_text\": \"\\u2028 snow\\u0085\", \"append_text\": \"\\u001ca,\\ud83d\\ude00\", \"clip\": [\"4\", 1]}}, \"111\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": true, \"on_true\": [\"112\", 0], \"on_false\": [\"113\", 0]}}, \"109\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": false, \"on_true\": [\"110\", 0], \"on_false\": [\"111\", 0]}}, \"107\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"108\", 0], \"conditioning_2\": [\"109\", 0]}}, \"114\": {\"class_type\": \"KSamplerAdvanced\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"107\", 0], \"latent_image\": [\"5\", 0]}}, \"115\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"116\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"106\", 0]}}, \"117\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"116\", 0]}}, \"118\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"114\", 0]}}, \"119\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"118\", 0]}}, \"120\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"115\", 0]}}, \"121\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"120\", 0]}}, \"124\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"a,\\n\", \"negative_text\": \"\\n\\u2028 \", \"prepend_text\": \"\\na,\\u0085\", \"append_text\": \"detailed fur \"}}, \"126\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\nsnow\\u3000\"}}, \"125\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"126\", 0], \"conditioning_2\": [\"126\", 0]}}, \"123\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"124\", 1], \"conditioning_2\": [\"125\", 0]}}, \"122\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"120\", 0], \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"123\", 0]}}, \"127\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"122\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-54", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"122\": {\"records\": [{\"text\": \"\\u0085\\u732b\\t\", \"negative_text\": \"\\u2028 caf\\u00e9\\u3000\", \"prepend_text\": \"\\ud83d\\ude00\\u3000a,\", \"append_text\": \"caf\\u00e9\", \"positive_text\": \" \\ud83d\\ude00\\u3000\", \"negative_effective_text\": \"\\u2028 caf\\u00e9\\u3000\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\ta,\", \"clip\": [\"4\", 1]}}, \"101\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"102\", 0]}}, \"106\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": \"café \", \"prepend_text\": \"…a, café\", \"negative_text\": \"…a,\\n😀\"}}, \"105\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"106\", 0]}}, \"108\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"猫\", \"text_l\": \"猫\"}}, \"109\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\n猫\\n\", \"text_l\": \"\\n猫\\n\"}}, \"107\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": true, \"on_true\": [\"108\", 0], \"on_false\": [\"109\", 0]}}, \"104\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 1], \"on_true\": [\"105\", 0], \"on_false\": [\"107\", 0]}}, \"110\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"…fox…snow\"}}, \"103\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"104\", 0], \"conditioning_2\": [\"110\", 0]}}, \"111\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"5\", 0]}}, \"113\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"a,\"}}, \"112\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"113\", 0]}}, \"117\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_b\": \"猫\", \"text_d\": \"\", \"text_a\": \"a,
 \", \"clean_whitespace\": \"true\"}}, \"116\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \"😀 fox\", \"string_b\": [\"117\", 0], \"delimiter\": \"\"}}, \"115\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": [\"116\", 0]}}, \"114\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": [\"115\", 0], \"prepend_text\": \"\", \"negative_text\": \"\\u001cdetailed fur\\n\"}}, \"118\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"112\", 0], \"negative\": [\"114\", 0], \"latent_image\": [\"5\", 0]}}, \"119\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"112\", 0], \"negative\": [\"114\", 0], \"latent_image\": [\"118\", 0]}}, \"120\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"111\", 0]}}, \"122\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"…猫\\t\", \"negative_text\": \"
 café \", \"prepend_text\": \" 😀 a,\", \"append_text\": \" café \"}}, \"121\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"120\", 0], \"model\": [\"4\", 0], \"positive\": [\"112\", 0], \"negative\": [\"122\", 0]}}, \"123\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"121\", 0]}}, \"124\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"118\", 0]}}, \"125\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"124\", 0]}}, \"126\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"119\", 0]}}, \"128\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": \" 猫 \", \"prepend_text\": \"猫\\u001c😀\", \"append_text\": \" 猫\\tdetailed fur\", \"clip\": [\"4\", 1]}}, \"132\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"
 \", \"clip\": [\"4\", 1]}}, \"131\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"132\", 0]}}, \"130\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"131\", 0]}}, \"129\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"130\", 0], \"conditioning_2\": [\"130\", 0]}}, \"127\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"126\", 0], \"model\": [\"4\", 0], \"positive\": [\"128\", 0], \"negative\": [\"129\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "select-fuzz-0-55", "records": {"parameters": "…😀\t\r\nTemplate: t\rSteps: x Steps:٣, a\r\t\n\r"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "fox 😀 detailed fur 猫\u001c猫"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "detailed fur, fox 
 😀\u001c, … a,"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "106", "state": "resolved"}}, "name": "select-fuzz-0-56", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \"
 😀\\u001c\", \"string_b\": \"… \", \"delimiter\": \", \"}}, \"103\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": [\"104\", 0], \"prepend_text\": \" fox \", \"append_text\": \"a,\"}}, \"102\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"103\", 0]}}, \"101\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": [\"102\", 0], \"prepend_text\": \"detailed fur\\n\", \"negative_text\": \"😀
 \"}}, \"105\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \" detailed fur \", \"negative_text\": \"\\u001ca,…café\", \"prepend_text\": \"
 fox 😀\", \"append_text\": \"
 猫\\u001c猫\"}}, \"106\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"105\", 0], \"latent_image\": [\"5\", 0]}}, \"107\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"missing\", 0]}}, \"108\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"107\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (CLIPTextEncodeSDXL).", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "detailed fur, snow 
 a,
  a,"}}, "resolution": {"node": {"class_type": "CLIPTextEncodeSDXL", "id": "104"}, "reason": "Encoder parts have different texts", "reason_code": "composite", "sampler_id": "105", "state": "unresolved"}}, "name": "select-fuzz-0-57", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"107\": {\"records\": [{\"text\": \" snow\\u0085\", \"negative_text\": \"\\u001c\\u732b\\ufeff\", \"prepend_text\": \"fox\", \"append_text\": \"a,\\ufeff\\ud83d\\ude00\", \"positive_text\": \"\\ufeffcaf\\u00e9\\ufeff\", \"negative_effective_text\": \"\\u001c\\u732b\\ufeff\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"\\u0085snow\\ufeff\", \"string_2\": \"\\u2028 a,\\u2028 \", \"inputcount\": 2, \"delimiter\": \" \", \"return_list\": false}}, \"102\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": [\"103\", 0], \"string_b\": \"\\u3000a, \", \"delimiter\": \"\"}}, \"101\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": [\"102\", 0], \"prepend_text\": \"\\ufeffdetailed fur\\u2028 \", \"negative_text\": \"\\u001ccaf\\u00e9\\t\"}}, \"104\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\na,\\u3000\", \"text_l\": \" \"}}, \"105\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"104\", 0], \"latent_image\": [\"5\", 0]}}, \"107\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \" snow\\u0085\", \"negative_text\": \"\\u001c\\u732b\\ufeff\", \"prepend_text\": \"\\u001c\\u0085fox\", \"append_text\": \"\\u0085a,\\ufeff\\ud83d\\ude00\"}}, \"106\": {\"class_type\": \"Reroute\", \"inputs\": {}}, \"111\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\ncaf\\u00e9\\ufeffa,\", \"text_l\": \"\\u3000a,\\n\"}}, \"110\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"111\", 0]}}, \"109\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"110\", 0]}}, \"108\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"109\", 0]}}, \"112\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"106\", 0], \"negative\": [\"108\", 0], \"latent_image\": [\"5\", 0]}}, \"113\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"105\", 0]}}, \"114\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"113\", 0]}}, \"115\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"112\", 0]}}, \"119\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"\\u0085fox\\t\", \"inputcount\": 1, \"delimiter\": \" \", \"return_list\": false}}, \"118\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"119\", 0], \"text_l\": [\"119\", 0]}}, \"121\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": \"\\u0085\\n\"}}, \"120\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"121\", 0], \"prepend_text\": \"\\u0085detailed fur\\u3000\", \"append_text\": \"\\t\", \"clip\": [\"4\", 1]}}, \"117\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 1], \"on_true\": [\"118\", 0], \"on_false\": [\"120\", 0]}}, \"122\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": \"\\t\\u732b \", \"prepend_text\": \"\\u3000\\u732b\\u2028 \", \"negative_text\": \"\\tdetailed fur\\ta,\"}}, \"116\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"115\", 0], \"model\": [\"4\", 0], \"positive\": [\"117\", 0], \"negative\": [\"122\", 0]}}, \"124\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\u2028 snow \", \"text_l\": \"\"}}, \"125\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": \"\\u001c\\u732b\\u0085caf\\u00e9\", \"prepend_text\": \"\\ufeffcaf\\u00e9\\u0085\", \"negative_text\": \"\\n\\u732b\\t\"}}, \"123\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"116\", 0], \"model\": [\"4\", 0], \"positive\": [\"124\", 0], \"negative\": [\"125\", 0]}}, \"126\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"123\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": "108", "state": "unresolved"}}, "name": "select-fuzz-0-58", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"\\u001csnow\\n\", \"prepend_text\": \"\\u3000detailed fur\\ufeffsnow\", \"append_text\": \"\\u0085\\u3000\", \"clip\": [\"4\", 1]}}, \"102\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \" \\ufeff\"}}, \"103\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"104\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"105\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"103\", 0]}}, \"106\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"105\", 0]}}, \"107\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"104\", 0]}}, \"112\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \" fox a,\", \"clip\": [\"4\", 1]}}, \"111\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"112\", 0]}}, \"114\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \" detailed fur\\u001c\", \"clip\": [\"4\", 1]}}, \"113\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"114\", 0]}}, \"110\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": true, \"on_true\": [\"111\", 0], \"on_false\": [\"113\", 0]}}, \"109\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"110\", 0]}}, \"117\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_a\": \" \\ud83d\\ude00\\u3000\", \"text_b\": \"\\ncaf\\u00e9 \", \"text_d\": \"\\n\\ud83d\\ude00\\u001c\", \"clean_whitespace\": \"true\"}}, \"118\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"\\u001ccaf\\u00e9 \\u732b\", \"prepend_text\": \"\\u2028 \\u732b\\n\\u732b\", \"append_text\": \"\\ufeff \"}}, \"116\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": [\"117\", 0], \"string_b\": [\"118\", 0], \"delimiter\": \", \"}}, \"115\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": [\"116\", 0], \"prepend_text\": \"\\u2028 caf\\u00e9\", \"negative_text\": \"\\tcaf\\u00e9\\u3000\"}}, \"108\": {\"class_type\": \"DetailerForEach\", \"inputs\": {\"image\": [\"107\", 0], \"model\": [\"4\", 0], \"positive\": [\"109\", 0], \"negative\": [\"115\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Sampler stages have different prompts", "reason_code": "multistage-differs", "sampler_id": "113", "state": "ambiguous"}}, "name": "select-fuzz-0-59", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"…猫…\", \"prepend_text\": \"a,\", \"append_text\": \"
 detailed fur\\u001c\"}}, \"102\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": [\"103\", 0], \"prepend_text\": \"\\t猫\", \"negative_text\": \"\\n\\u001c\"}}, \"101\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"102\", 0]}}, \"104\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"latent_image\": [\"5\", 0]}}, \"106\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"fox\"}}, \"108\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\u001c😀 \", \"text_l\": \"\\nfox…\"}}, \"107\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"108\", 0]}}, \"105\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"106\", 0], \"conditioning_2\": [\"107\", 0]}}, \"109\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \" 😀a,\"}}, \"110\": {\"class_type\": \"KSamplerAdvanced\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"105\", 0], \"negative\": [\"109\", 0], \"latent_image\": [\"5\", 0]}}, \"111\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"latent_image\": [\"5\", 0]}}, \"112\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"104\", 0]}}, \"115\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u001ccafé\", \"negative_text\": \"\\u001c猫café\", \"prepend_text\": \"café\\n\", \"append_text\": \"…😀 \"}}, \"114\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"115\", 0]}}, \"119\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a,\\u001c\", \"clip\": [\"4\", 1]}}, \"120\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u001c猫\\u001c\", \"clip\": [\"4\", 1]}}, \"118\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"119\", 0], \"conditioning_2\": [\"120\", 0]}}, \"122\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u001cdetailed fursnow\", \"clip\": [\"4\", 1]}}, \"121\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"122\", 0], \"conditioning_2\": [\"122\", 0]}}, \"117\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"118\", 0], \"conditioning_2\": [\"121\", 0]}}, \"116\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"117\", 0]}}, \"113\": {\"class_type\": \"UltimateSDUpscaleNoUpscale\", \"inputs\": {\"model\": [\"4\", 0], \"positive\": [\"114\", 0], \"negative\": [\"116\", 0], \"upscaled_image\": [\"112\", 0]}}, \"123\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"113\", 0]}}, \"124\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"110\", 0]}}, \"125\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"124\", 0]}}, \"126\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"124\", 0]}}, \"127\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"111\", 0]}}, \"128\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"127\", 0]}}, \"131\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \" fox\", \"prepend_text\": \"\\ndetailed fur…\", \"append_text\": \" \\u001c\"}}, \"130\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"131\", 0], \"text_l\": [\"131\", 0]}}, \"129\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"127\", 0], \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"130\", 0]}}, \"132\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"129\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-0", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"fox\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"10\", 0]}}, \"12\": {\"class_type\": \"LatentUpscaleBy\", \"inputs\": {\"samples\": [\"10\", 0]}}, \"13\": {\"class_type\": \"ImageScaleBy\", \"inputs\": {\"image\": [\"12\", 0]}}, \"14\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"13\", 0]}}, \"15\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"6\", 0], \"conditioning_2\": [\"2\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"16\", 0]}}, \"18\": {\"class_type\": \"MysteryImageEffect\", \"inputs\": {\"image\": [\"17\", 0]}}, \"19\": {\"class_type\": \"Image Filter\", \"inputs\": {\"images\": [\"18\", 0]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"15\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"19\", 0]}}, \"21\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"20\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-1", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"fox\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"2\", 0]}}, \"12\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"10\", 0]}}, \"13\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"11\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"12\", 0]}}, \"14\": {\"class_type\": \"ConditioningAverage\", \"inputs\": {\"conditioning_to\": [\"5\", 0], \"conditioning_from\": [\"2\", 0]}}, \"15\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"13\", 0]}}, \"16\": {\"class_type\": \"MysteryImageEffect\", \"inputs\": {\"image\": [\"15\", 0]}}, \"17\": {\"class_type\": \"LatentUpscaleBy\", \"inputs\": {\"samples\": [\"16\", 0]}}, \"18\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"14\", 0], \"negative\": [\"6\", 0], \"latent_image\": [\"17\", 0]}}, \"19\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"18\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "added-conditioning", "status": "resolved", "text": "fox"}}, "resolution": {"node": null, "reason": "A later stage adds conditioning to the base prompt", "reason_code": null, "sampler_id": "10", "state": "resolved"}}, "name": "select-passthrough-fuzz-0-2", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"fox\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"ConditioningConcat\", \"inputs\": {\"conditioning_to\": [\"5\", 0], \"conditioning_from\": [\"2\", 0]}}, \"12\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"samples\": [\"10\", 0]}}, \"13\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"samples\": [\"12\", 0]}}, \"14\": {\"class_type\": \"ImageScaleBy\", \"inputs\": {\"image\": [\"13\", 0]}}, \"15\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"11\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"14\", 0]}}, \"16\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"15\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-3", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"fox\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"image\": [\"10\", 0]}}, \"12\": {\"class_type\": \"MysteryImageEffect\", \"inputs\": {\"image\": [\"11\", 0]}}, \"13\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"12\", 0]}}, \"14\": {\"class_type\": \"MysteryImageEffect\", \"inputs\": {\"image\": [\"13\", 0]}}, \"15\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"6\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"14\", 0]}}, \"16\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"15\", 0]}}, \"17\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"15\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "fox"}}, "resolution": {"node": null, "reason": "Every sampler branch uses the same prompt pair", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "select-passthrough-fuzz-0-4", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"fox\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"10\", 0]}}, \"12\": {\"class_type\": \"LatentUpscaleBy\", \"inputs\": {\"samples\": [\"10\", 0]}}, \"13\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"samples\": [\"12\", 0]}}, \"14\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"13\", 0], \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0]}}, \"15\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"14\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "15", "state": "resolved"}}, "name": "select-passthrough-fuzz-0-5", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"10\", 0]}}, \"12\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"11\", 0]}}, \"13\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"image\": [\"12\", 0]}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"image\": [\"13\", 0]}}, \"15\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"14\", 0]}}, \"16\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"15\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-6", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"fox\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"2\", 0]}}, \"12\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"samples\": [\"10\", 0]}}, \"13\": {\"class_type\": \"LatentUpscaleBy\", \"inputs\": {\"samples\": [\"12\", 0]}}, \"14\": {\"class_type\": \"MysteryImageEffect\", \"inputs\": {\"image\": [\"13\", 0]}}, \"15\": {\"class_type\": \"ImageScaleBy\", \"inputs\": {\"image\": [\"14\", 0]}}, \"16\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"11\", 0], \"negative\": [\"6\", 0], \"latent_image\": [\"15\", 0]}}, \"17\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"16\", 0]}}, \"18\": {\"class_type\": \"Image Filter\", \"inputs\": {\"images\": [\"16\", 0]}}, \"19\": {\"class_type\": \"ImageScaleBy\", \"inputs\": {\"image\": [\"18\", 0]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"6\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"19\", 0]}}, \"21\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"20\", 0]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"20\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-7", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"10\", 0]}}, \"12\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"samples\": [\"10\", 0]}}, \"13\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"12\", 0]}}, \"14\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"6\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"13\", 0]}}, \"15\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"14\", 0]}}, \"16\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"14\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningAverage).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (ConditioningAverage).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "ConditioningAverage", "id": "12"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "15", "state": "unresolved"}}, "name": "select-passthrough-fuzz-0-8", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"10\", 0]}}, \"12\": {\"class_type\": \"ConditioningAverage\", \"inputs\": {\"conditioning_to\": [\"5\", 0], \"conditioning_from\": [\"2\", 0]}}, \"13\": {\"class_type\": \"ImageScaleBy\", \"inputs\": {\"image\": [\"11\", 0]}}, \"14\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"13\", 0]}}, \"15\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"14\", 0], \"model\": [\"1\", 0], \"positive\": [\"12\", 0], \"negative\": [\"6\", 0]}}, \"16\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"15\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "16", "state": "resolved"}}, "name": "select-passthrough-fuzz-0-9", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"10\", 0]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"images\": [\"10\", 0]}}, \"13\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"image\": [\"12\", 0]}}, \"14\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"13\", 0]}}, \"15\": {\"class_type\": \"Image Filter\", \"inputs\": {\"images\": [\"14\", 0]}}, \"16\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"15\", 0]}}, \"17\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"16\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-10", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"fox\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"MysteryImageEffect\", \"inputs\": {\"image\": [\"10\", 0]}}, \"12\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"11\", 0]}}, \"13\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"12\", 0]}}, \"14\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"13\", 0]}}, \"15\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"14\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Sampler stages have different prompts", "reason_code": "multistage-differs", "sampler_id": "11", "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-11", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"fox\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"6\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"10\", 0]}}, \"12\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-12", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"fox\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"2\", 0], \"conditioning_2\": [\"6\", 0]}}, \"12\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"10\", 0], \"model\": [\"1\", 0], \"positive\": [\"11\", 0], \"negative\": [\"3\", 0]}}, \"13\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"12\", 0]}}, \"14\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"5\", 0], \"conditioning_2\": [\"2\", 0]}}, \"15\": {\"class_type\": \"MysteryImageEffect\", \"inputs\": {\"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"15\", 0]}}, \"17\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"16\", 0]}}, \"18\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"14\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"19\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"18\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-13", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"fox\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"ConditioningAverage\", \"inputs\": {\"conditioning_to\": [\"2\", 0], \"conditioning_from\": [\"5\", 0]}}, \"12\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"10\", 0]}}, \"13\": {\"class_type\": \"MysteryImageEffect\", \"inputs\": {\"image\": [\"12\", 0]}}, \"14\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"13\", 0]}}, \"15\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"11\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"14\", 0]}}, \"16\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"15\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "fox"}}, "resolution": {"node": null, "reason": "Every sampler branch uses the same prompt pair", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "select-passthrough-fuzz-0-14", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"fox\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"10\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"ImageScaleBy\", \"inputs\": {\"image\": [\"11\", 0]}}, \"14\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"13\", 0]}}, \"15\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"image\": [\"14\", 0]}}, \"16\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"15\", 0], \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0]}}, \"17\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"16\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "added-conditioning", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "A later stage adds conditioning to the base prompt", "reason_code": null, "sampler_id": "10", "state": "resolved"}}, "name": "select-passthrough-fuzz-0-15", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"ConditioningConcat\", \"inputs\": {\"conditioning_to\": [\"2\", 0], \"conditioning_from\": [\"6\", 0]}}, \"12\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"samples\": [\"10\", 0]}}, \"13\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"11\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"12\", 0]}}, \"14\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"13\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Sampler stages have different prompts", "reason_code": "multistage-differs", "sampler_id": "12", "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-16", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"10\", 0]}}, \"12\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"6\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"11\", 0]}}, \"13\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"12\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Sampler stages have different prompts", "reason_code": "multistage-differs", "sampler_id": "13", "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-17", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"10\", 0]}}, \"12\": {\"class_type\": \"ImageScaleBy\", \"inputs\": {\"image\": [\"11\", 0]}}, \"13\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"6\", 0], \"latent_image\": [\"12\", 0]}}, \"14\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"13\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-18", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"2\", 0]}}, \"12\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"image\": [\"10\", 0]}}, \"13\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"11\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"12\", 0]}}, \"14\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"13\", 0]}}, \"15\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"2\", 0], \"conditioning_2\": [\"6\", 0]}}, \"16\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"samples\": [\"13\", 0]}}, \"17\": {\"class_type\": \"ImageScaleBy\", \"inputs\": {\"image\": [\"16\", 0]}}, \"18\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"15\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"19\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"18\", 0]}}, \"20\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"18\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "added-conditioning", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "A later stage adds conditioning to the base prompt", "reason_code": null, "sampler_id": "10", "state": "resolved"}}, "name": "select-passthrough-fuzz-0-19", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"6\", 0], \"conditioning_2\": [\"2\", 0]}}, \"12\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"10\", 0]}}, \"13\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"11\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"12\", 0]}}, \"14\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"13\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningAverage).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (ConditioningAverage).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "ConditioningAverage", "id": "11"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "19", "state": "unresolved"}}, "name": "select-passthrough-fuzz-0-20", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"ConditioningAverage\", \"inputs\": {\"conditioning_to\": [\"6\", 0], \"conditioning_from\": [\"2\", 0]}}, \"12\": {\"class_type\": \"LatentUpscaleBy\", \"inputs\": {\"samples\": [\"10\", 0]}}, \"13\": {\"class_type\": \"ImageScaleBy\", \"inputs\": {\"image\": [\"12\", 0]}}, \"14\": {\"class_type\": \"ImageScaleBy\", \"inputs\": {\"image\": [\"13\", 0]}}, \"15\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"14\", 0], \"model\": [\"1\", 0], \"positive\": [\"11\", 0], \"negative\": [\"6\", 0]}}, \"16\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"15\", 0]}}, \"17\": {\"class_type\": \"Image Filter\", \"inputs\": {\"images\": [\"15\", 0]}}, \"18\": {\"class_type\": \"Image Filter\", \"inputs\": {\"images\": [\"17\", 0]}}, \"19\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"6\", 0], \"latent_image\": [\"18\", 0]}}, \"20\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"19\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "Every sampler branch uses the same prompt pair", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "select-passthrough-fuzz-0-21", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"10\", 0]}}, \"12\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"10\", 0]}}, \"13\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"12\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-22", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"fox\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"2\", 0]}}, \"12\": {\"class_type\": \"MysteryImageEffect\", \"inputs\": {\"image\": [\"10\", 0]}}, \"13\": {\"class_type\": \"Image Filter\", \"inputs\": {\"images\": [\"12\", 0]}}, \"14\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"11\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"13\", 0]}}, \"15\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"6\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"14\", 0]}}, \"16\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"15\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "added-conditioning", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "A later stage adds conditioning to the base prompt", "reason_code": null, "sampler_id": "10", "state": "resolved"}}, "name": "select-passthrough-fuzz-0-23", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"ConditioningConcat\", \"inputs\": {\"conditioning_to\": [\"5\", 0], \"conditioning_from\": [\"2\", 0]}}, \"12\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"10\", 0], \"model\": [\"1\", 0], \"positive\": [\"11\", 0], \"negative\": [\"3\", 0]}}, \"13\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"12\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "15", "state": "resolved"}}, "name": "select-passthrough-fuzz-0-24", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"10\", 0]}}, \"12\": {\"class_type\": \"ImageScaleBy\", \"inputs\": {\"image\": [\"10\", 0]}}, \"13\": {\"class_type\": \"LatentUpscaleBy\", \"inputs\": {\"samples\": [\"12\", 0]}}, \"14\": {\"class_type\": \"LatentUpscaleBy\", \"inputs\": {\"samples\": [\"13\", 0]}}, \"15\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"14\", 0]}}, \"16\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"15\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "12", "state": "resolved"}}, "name": "select-passthrough-fuzz-0-25", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"2\", 0]}}, \"12\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"11\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"10\", 0]}}, \"13\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"12\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Sampler stages have different prompts", "reason_code": "multistage-differs", "sampler_id": "12", "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-26", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"6\", 0], \"latent_image\": [\"10\", 0]}}, \"12\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"6\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"11\", 0]}}, \"13\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"12\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Sampler stages have different prompts", "reason_code": "multistage-differs", "sampler_id": "17", "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-27", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"fox\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"10\", 0]}}, \"12\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"11\", 0]}}, \"13\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"12\", 0]}}, \"14\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"13\", 0]}}, \"15\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"14\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"15\", 0]}}, \"17\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"6\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"16\", 0]}}, \"18\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"17\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningAverage).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (ConditioningAverage).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "ConditioningAverage", "id": "12"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "15", "state": "unresolved"}}, "name": "select-passthrough-fuzz-0-28", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"fox\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"10\", 0]}}, \"12\": {\"class_type\": \"ConditioningAverage\", \"inputs\": {\"conditioning_to\": [\"6\", 0], \"conditioning_from\": [\"2\", 0]}}, \"13\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"11\", 0]}}, \"14\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"13\", 0]}}, \"15\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"12\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"14\", 0]}}, \"16\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"15\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "15", "state": "resolved"}}, "name": "select-passthrough-fuzz-0-29", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"10\", 0]}}, \"12\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"10\", 0]}}, \"13\": {\"class_type\": \"Image Filter\", \"inputs\": {\"images\": [\"12\", 0]}}, \"14\": {\"class_type\": \"LatentUpscaleBy\", \"inputs\": {\"samples\": [\"13\", 0]}}, \"15\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"14\", 0]}}, \"16\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"15\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "11", "state": "resolved"}}, "name": "select-passthrough-fuzz-0-30", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"10\", 0], \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Sampler stages have different prompts", "reason_code": "multistage-differs", "sampler_id": "13", "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-31", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"image\": [\"10\", 0]}}, \"12\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"11\", 0]}}, \"13\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"6\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"12\", 0]}}, \"14\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"13\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "16", "state": "resolved"}}, "name": "select-passthrough-fuzz-0-32", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"2\", 0]}}, \"12\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"10\", 0]}}, \"13\": {\"class_type\": \"Image Filter\", \"inputs\": {\"images\": [\"12\", 0]}}, \"14\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"13\", 0]}}, \"15\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"14\", 0]}}, \"16\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"11\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"15\", 0]}}, \"17\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"16\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "12", "state": "resolved"}}, "name": "select-passthrough-fuzz-0-33", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"LatentUpscaleBy\", \"inputs\": {\"samples\": [\"10\", 0]}}, \"12\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"11\", 0]}}, \"13\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"12\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-34", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"10\", 0]}}, \"12\": {\"class_type\": \"ConditioningConcat\", \"inputs\": {\"conditioning_to\": [\"5\", 0], \"conditioning_from\": [\"2\", 0]}}, \"13\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"10\", 0]}}, \"14\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"13\", 0]}}, \"15\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"14\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"15\", 0]}}, \"17\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"12\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"16\", 0]}}, \"18\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"17\", 0]}}, \"19\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"17\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "added-conditioning", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "A later stage adds conditioning to the base prompt", "reason_code": null, "sampler_id": "10", "state": "resolved"}}, "name": "select-passthrough-fuzz-0-35", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"10\", 0]}}, \"12\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"2\", 0], \"conditioning_2\": [\"5\", 0]}}, \"13\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"10\", 0]}}, \"14\": {\"class_type\": \"LatentUpscaleBy\", \"inputs\": {\"samples\": [\"13\", 0]}}, \"15\": {\"class_type\": \"ImageScaleBy\", \"inputs\": {\"image\": [\"14\", 0]}}, \"16\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"12\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"15\", 0]}}, \"17\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"16\", 0]}}, \"18\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"16\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-36", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"5\", 0], \"conditioning_2\": [\"2\", 0]}}, \"12\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"11\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"10\", 0]}}, \"13\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"12\", 0]}}, \"14\": {\"class_type\": \"ConditioningConcat\", \"inputs\": {\"conditioning_to\": [\"5\", 0], \"conditioning_from\": [\"2\", 0]}}, \"15\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"14\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"15\", 0]}}, \"17\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"15\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "ConditioningCombine", "id": "16"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "19", "state": "unresolved"}}, "name": "select-passthrough-fuzz-0-37", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"ConditioningAverage\", \"inputs\": {\"conditioning_to\": [\"5\", 0], \"conditioning_from\": [\"2\", 0]}}, \"12\": {\"class_type\": \"ImageScaleBy\", \"inputs\": {\"image\": [\"10\", 0]}}, \"13\": {\"class_type\": \"LatentUpscaleBy\", \"inputs\": {\"samples\": [\"12\", 0]}}, \"14\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"11\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"13\", 0]}}, \"15\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"14\", 0]}}, \"16\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"5\", 0], \"conditioning_2\": [\"2\", 0]}}, \"17\": {\"class_type\": \"Image Filter\", \"inputs\": {\"images\": [\"14\", 0]}}, \"18\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"17\", 0]}}, \"19\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"16\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"18\", 0]}}, \"20\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"19\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-38", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"10\", 0]}}, \"12\": {\"class_type\": \"ConditioningAverage\", \"inputs\": {\"conditioning_to\": [\"2\", 0], \"conditioning_from\": [\"6\", 0]}}, \"13\": {\"class_type\": \"MysteryImageEffect\", \"inputs\": {\"image\": [\"10\", 0]}}, \"14\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"13\", 0], \"model\": [\"1\", 0], \"positive\": [\"12\", 0], \"negative\": [\"3\", 0]}}, \"15\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"14\", 0]}}, \"16\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"2\", 0], \"conditioning_2\": [\"6\", 0]}}, \"17\": {\"class_type\": \"MysteryImageEffect\", \"inputs\": {\"image\": [\"14\", 0]}}, \"18\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"16\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"19\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"18\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "11", "state": "resolved"}}, "name": "select-passthrough-fuzz-0-39", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"10\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}}"}}], "version": 2} +{"vectors": [{"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "encode", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": "3", "state": "unresolved"}}, "name": "empty-positive", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \" …\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": ""}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "feff-positive", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "Expected a typed graph link or text input", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "no-negative", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": null, \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "absent", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "Negative input is absent", "reason_code": null, "sampler_id": "3", "state": "absent"}}, "name": "negative-missing-input", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Expected a typed graph link or text input", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "float-slot", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0.0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Expected a typed graph link or text input", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "bool-slot", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", true], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "int-id", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [6, 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Missing or malformed graph node", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "dangling", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"60\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (CLIPTextEncode).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support (CLIPTextEncode).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "CLIPTextEncode", "id": "6"}, "reason": "Unsupported node semantics or output slot", "reason_code": "unsupported-node", "sampler_id": "3", "state": "unresolved"}}, "name": "wrong-slot", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 3], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Cyclic prompt graph", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "cycle", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"8\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Reroute input is not uniquely identifiable", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "reroute-ambiguous", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"6\", 0], \"in\": [\"6\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "last wins"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "duplicate-key", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"last wins\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "nan-input", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": NaN, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "x"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "class-type-number", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": 1.5, \"inputs\": {\"text\": \"x\"}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "x"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "class-type-missing", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"inputs\": {\"text\": \"x\"}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Missing or malformed graph node", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "inputs-list", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": [\"x\"]}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "API graph is missing or malformed", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "prompt-list", "records": {"prompt": "[1, 2]"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "API graph is missing or malformed", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "prompt-empty", "records": {"prompt": "{}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Prompt evidence is malformed", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "prompt-bom", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Prompt evidence is malformed", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "huge-int", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 99999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Prompt evidence is malformed", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "only-execution", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"8\": {\"records\": [{\"text\": \"fox\", \"negative_text\": \"blur\", \"positive_text\": \"fox executed\", \"negative_effective_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "No supported sampler was found.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "No supported sampler was found.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "No supported sampler pair found (saw XSampler, YGuider)", "reason_code": "no-sampler", "sampler_id": null, "state": "unresolved"}}, "name": "no-sampler", "records": {"prompt": "{\"1\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"x\", \"clip\": [\"4\", 1]}}, \"2\": {\"class_type\": \"XSampler\", \"inputs\": {\"positive\": [\"1\", 0]}}, \"9\": {\"class_type\": \"YGuider\", \"inputs\": {\"guider\": [\"1\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "No supported sampler was found.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "No supported sampler was found.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "No supported sampler pair found", "reason_code": "no-sampler", "sampler_id": null, "state": "unresolved"}}, "name": "no-sampler-plain", "records": {"prompt": "{\"1\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"x\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "sdxl-equal", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"a\", \"text_l\": \"a\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "sdxl-one", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"a\", \"text_l\": \"\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (CLIPTextEncodeSDXL).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (CLIPTextEncodeSDXL).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "CLIPTextEncodeSDXL", "id": "8"}, "reason": "Encoder parts have different texts", "reason_code": "composite", "sampler_id": "3", "state": "unresolved"}}, "name": "sdxl-differ", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"a\", \"text_l\": \"b\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "t"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "smz-false", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"smZ CLIPTextEncode\", \"inputs\": {\"text\": \"t\", \"text_g\": \"g\", \"text_l\": \"g\", \"with_SDXL\": false}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (smZ CLIPTextEncode).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt is chosen at run time (smZ CLIPTextEncode).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "smZ CLIPTextEncode", "id": "8"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "3", "state": "unresolved"}}, "name": "smz-true", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"smZ CLIPTextEncode\", \"inputs\": {\"text\": \"t\", \"text_g\": \"g\", \"text_l\": \"g\", \"with_SDXL\": true}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Malformed string node setting", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "smz-1", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"smZ CLIPTextEncode\", \"inputs\": {\"text\": \"t\", \"text_g\": \"g\", \"text_l\": \"g\", \"with_SDXL\": 1}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (smZ CLIPTextEncode).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support (smZ CLIPTextEncode).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "smZ CLIPTextEncode", "id": "8"}, "reason": "Linked string node setting", "reason_code": "unsupported-node", "sampler_id": "3", "state": "unresolved"}}, "name": "smz-[\"9\", 0]", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"smZ CLIPTextEncode\", \"inputs\": {\"text\": \"t\", \"text_g\": \"g\", \"text_l\": \"g\", \"with_SDXL\": [\"9\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "zeroed-conditioning", "status": "resolved", "text": ""}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "zeroed", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"8\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"6\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "passthrough", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"6\", 0], \"guidance\": 3.5}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "controlnet-slot1", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"8\", 1], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"ControlNetApplyAdvanced\", \"inputs\": {\"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "combine-equal", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"9\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"6\", 0], \"conditioning_2\": [\"9\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "ConditioningCombine", "id": "8"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "3", "state": "unresolved"}}, "name": "combine-differ", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"6\", 0], \"conditioning_2\": [\"7\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "neg"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "select-true", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"10\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": true, \"on_true\": [\"6\", 0], \"on_false\": [\"7\", 0]}}, \"10\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"neg\", \"clip\": [\"4\", 1]}}, \"9\": {\"class_type\": \"PrimitiveBoolean\", \"inputs\": {\"value\": true}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "neg"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "select-false", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"10\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": false, \"on_true\": [\"6\", 0], \"on_false\": [\"7\", 0]}}, \"10\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"neg\", \"clip\": [\"4\", 1]}}, \"9\": {\"class_type\": \"PrimitiveBoolean\", \"inputs\": {\"value\": true}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Selector branches have different prompts", "reason_code": null, "sampler_id": "3", "state": "ambiguous"}}, "name": "select-[\"9\", 0]", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"10\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"9\", 0], \"on_true\": [\"6\", 0], \"on_false\": [\"7\", 0]}}, \"10\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"neg\", \"clip\": [\"4\", 1]}}, \"9\": {\"class_type\": \"PrimitiveBoolean\", \"inputs\": {\"value\": true}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Malformed selector condition", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "select-1", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"10\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": 1, \"on_true\": [\"6\", 0], \"on_false\": [\"7\", 0]}}, \"10\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"neg\", \"clip\": [\"4\", 1]}}, \"9\": {\"class_type\": \"PrimitiveBoolean\", \"inputs\": {\"value\": true}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Malformed selector condition", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "select-\"true\"", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"10\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": \"true\", \"on_true\": [\"6\", 0], \"on_false\": [\"7\", 0]}}, \"10\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"neg\", \"clip\": [\"4\", 1]}}, \"9\": {\"class_type\": \"PrimitiveBoolean\", \"inputs\": {\"value\": true}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "select-converge", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"9\", 0], \"on_true\": [\"6\", 0], \"on_false\": [\"11\", 0]}}, \"11\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Selector branches have different prompts", "reason_code": null, "sampler_id": "3", "state": "ambiguous"}}, "name": "select-shared", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"12\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"9\", 0], \"on_true\": [\"6\", 0], \"on_false\": [\"7\", 0]}}, \"12\": {\"class_type\": \"Switch conditioning [Crystools]\", \"inputs\": {\"boolean\": [\"9\", 0], \"on_true\": [\"7\", 0], \"on_false\": [\"6\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (PromptSearchList).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt is chosen at run time (PromptSearchList).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "PromptSearchList", "id": "8"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "3", "state": "unresolved"}}, "name": "runtime", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptSearchList\", \"inputs\": {}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "x"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "unknown-encoder", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"FancyEncoderxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx\", \"inputs\": {\"text\": \"x\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": " multi\nline "}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "primitive", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"8\", 0], \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": \" multi\\nline \"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Output slot has an incompatible type", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "string-kind-mismatch", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"x\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": " a , "}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "string-concatenate", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"8\", 0], \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \" a \", \"string_b\": \"\", \"delimiter\": \", \"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a b"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "text-concatenate-\"true\"", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"8\", 0], \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_b\": \" b \", \"text_a\": \" a\", \"text_aa\": \"x\", \"text_c\": \"\", \"clean_whitespace\": \"true\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": " a b "}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "text-concatenate-\"False\"", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"8\", 0], \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_b\": \" b \", \"text_a\": \" a\", \"text_aa\": \"x\", \"text_c\": \"\", \"clean_whitespace\": \"False\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a b"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "text-concatenate-true", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"8\", 0], \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_b\": \" b \", \"text_a\": \" a\", \"text_aa\": \"x\", \"text_c\": \"\", \"clean_whitespace\": true}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a b"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "text-concatenate-\"TRUE\"", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"8\", 0], \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_b\": \" b \", \"text_a\": \" a\", \"text_aa\": \"x\", \"text_c\": \"\", \"clean_whitespace\": \"TRUE\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": " a b "}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "text-concatenate-0", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"8\", 0], \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_b\": \" b \", \"text_a\": \" a\", \"text_aa\": \"x\", \"text_c\": \"\", \"clean_whitespace\": 0}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "ab"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "strip-newlines-true", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"8\", 0], \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\n a\\nb \\n\", \"strip_newlines\": true}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "\n a\nb \n"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "strip-newlines-false", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"8\", 0], \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\n a\\nb \\n\", \"strip_newlines\": false}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Malformed string node setting", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "strip-newlines-1", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"8\", 0], \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\n a\\nb \\n\", \"strip_newlines\": 1}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": " | b"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "join-multi-3-false", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"8\", 0], \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"\", \"string_2\": \"b\", \"string_3\": \"\", \"string_4\": \"d\", \"inputcount\": 3, \"delimiter\": \" | \", \"return_list\": false}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": "3", "state": "unresolved"}}, "name": "join-multi-1-false", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"8\", 0], \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"\", \"string_2\": \"b\", \"string_3\": \"\", \"string_4\": \"d\", \"inputcount\": 1, \"delimiter\": \" | \", \"return_list\": false}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Malformed string node setting", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "join-multi-0-false", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"8\", 0], \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"\", \"string_2\": \"b\", \"string_3\": \"\", \"string_4\": \"d\", \"inputcount\": 0, \"delimiter\": \" | \", \"return_list\": false}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Malformed string node setting", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "join-multi-1001-false", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"8\", 0], \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"\", \"string_2\": \"b\", \"string_3\": \"\", \"string_4\": \"d\", \"inputcount\": 1001, \"delimiter\": \" | \", \"return_list\": false}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (JoinStringMulti).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt is chosen at run time (JoinStringMulti).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "JoinStringMulti", "id": "8"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "3", "state": "unresolved"}}, "name": "join-multi-2-true", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"8\", 0], \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"\", \"string_2\": \"b\", \"string_3\": \"\", \"string_4\": \"d\", \"inputcount\": 2, \"delimiter\": \" | \", \"return_list\": true}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Malformed string node setting", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "join-multi-2.0-false", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"8\", 0], \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"\", \"string_2\": \"b\", \"string_3\": \"\", \"string_4\": \"d\", \"inputcount\": 2.0, \"delimiter\": \" | \", \"return_list\": false}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Malformed string node setting", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "join-multi-true-false", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"8\", 0], \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"\", \"string_2\": \"b\", \"string_3\": \"\", \"string_4\": \"d\", \"inputcount\": true, \"delimiter\": \" | \", \"return_list\": false}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "before main"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "prompt-manager", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"main\", \"prepend_text\": \" before \", \"append_text\": \"\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Expected a typed graph link or text input", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "prompt-manager-null-prepend", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"main\", \"prepend_text\": null, \"append_text\": \"\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "lead,main"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "historical-PromptManagerV2-0", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": \" main \", \"negative_text\": \" neg \", \"prepend_text\": \"lead,\", \"append_text\": null}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "neg"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "historical-PromptManagerV2-1", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 1], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": \" main \", \"negative_text\": \" neg \", \"prepend_text\": \"lead,\", \"append_text\": null}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "lead,main"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "historical-PromptManagerPositive-0", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \" main \", \"negative_text\": \" neg \", \"prepend_text\": \"lead,\", \"append_text\": null}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "main"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "historical-PromptManagerNegative-0", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManagerNegative\", \"inputs\": {\"text\": \" main \", \"negative_text\": \" neg \", \"prepend_text\": \"lead,\", \"append_text\": null}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blur"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "pair-graph", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"8\", 1], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"fox\", \"negative_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "execution", "status": "resolved", "text": "blur"}, "positive": {"source": "execution", "status": "resolved", "text": "fox executed"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "pair-execution", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"8\": {\"records\": [{\"text\": \"fox\", \"negative_text\": \"blur\", \"positive_text\": \"fox executed\", \"negative_effective_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"8\", 1], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"fox\", \"negative_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blur"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "pair-execution-other-node", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"99\": {\"records\": [{\"text\": \"fox\", \"negative_text\": \"blur\", \"positive_text\": \"fox executed\", \"negative_effective_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"8\", 1], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"fox\", \"negative_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Execution evidence does not match recorded node inputs", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "pair-execution-mismatch", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"8\": {\"records\": [{\"text\": \"other\", \"negative_text\": \"blur\", \"positive_text\": \"fox executed\", \"negative_effective_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"8\", 1], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"fox\", \"negative_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Negative execution text must be unchanged", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "pair-execution-negative-changed", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"8\": {\"records\": [{\"text\": \"fox\", \"negative_text\": \"blur\", \"positive_text\": \"fox executed\", \"negative_effective_text\": \"x\", \"prepend_text\": \"\", \"append_text\": \"\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"8\", 1], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"fox\", \"negative_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "execution", "status": "resolved", "text": "blur"}, "positive": {"source": "execution", "status": "resolved", "text": "fox executed"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "pair-execution-version-true", "records": {"comfyassets_prompt_pairs": "{\"version\": true, \"nodes\": {\"8\": {\"records\": [{\"text\": \"fox\", \"negative_text\": \"blur\", \"positive_text\": \"fox executed\", \"negative_effective_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"8\", 1], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"fox\", \"negative_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "execution", "status": "resolved", "text": "blur"}, "positive": {"source": "execution", "status": "resolved", "text": "fox executed"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "pair-execution-version-float", "records": {"comfyassets_prompt_pairs": "{\"version\": 1.0, \"nodes\": {\"8\": {\"records\": [{\"text\": \"fox\", \"negative_text\": \"blur\", \"positive_text\": \"fox executed\", \"negative_effective_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"8\", 1], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"fox\", \"negative_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "execution", "status": "resolved", "text": "blur"}, "positive": {"source": "execution", "status": "resolved", "text": "fox executed"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "pair-execution-truncated", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"truncated\": [], \"nodes\": {\"8\": {\"records\": [{\"text\": \"fox\", \"negative_text\": \"blur\", \"positive_text\": \"fox executed\", \"negative_effective_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"8\", 1], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"fox\", \"negative_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Malformed execution evidence JSON", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "pair-execution-bad-json", "records": {"comfyassets_prompt_pairs": "{nope", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"8\", 1], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"fox\", \"negative_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Multiple distinct executions have no image anchor", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "pair-execution-two-records", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"8\": {\"records\": [{\"text\": \"fox\", \"negative_text\": \"blur\", \"positive_text\": \"fox executed\", \"negative_effective_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}, {\"text\": \"fox\", \"negative_text\": \"blur\", \"positive_text\": \"other\", \"negative_effective_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"8\", 1], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"fox\", \"negative_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "execution", "status": "resolved", "text": "blur"}, "positive": {"source": "execution", "status": "resolved", "text": "fox executed"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "pair-execution-runtime-input", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"8\": {\"records\": [{\"text\": \"fox\", \"negative_text\": \"blur\", \"positive_text\": \"fox executed\", \"negative_effective_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"8\", 1], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": [\"9\", 0], \"negative_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}}, \"9\": {\"class_type\": \"PromptSearchList\", \"inputs\": {}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (PromptManagerText).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support (PromptManagerText).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "PromptManagerText", "id": "9"}, "reason": "Unsupported node semantics or output slot", "reason_code": "unsupported-node", "sampler_id": "3", "state": "unresolved"}}, "name": "pair-execution-runtime-wrong-slot", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"8\": {\"records\": [{\"text\": \"fox\", \"negative_text\": \"blur\", \"positive_text\": \"fox executed\", \"negative_effective_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"8\", 1], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": [\"9\", 2], \"negative_text\": \"blur\", \"prepend_text\": \"\", \"append_text\": \"\"}}, \"9\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"x\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "custom-cfg", "records": {"prompt": "{\"3\": {\"class_type\": \"SamplerCustomAdvanced\", \"inputs\": {\"noise\": [\"20\", 0], \"guider\": [\"21\", 0], \"sampler\": [\"22\", 0], \"sigmas\": [\"23\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"21\": {\"class_type\": \"CFGGuider\", \"inputs\": {\"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"model\": [\"4\", 0], \"cfg\": 5}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "absent", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "Guider has no negative input", "reason_code": null, "sampler_id": "3", "state": "absent"}}, "name": "custom-basic", "records": {"prompt": "{\"3\": {\"class_type\": \"SamplerCustomAdvanced\", \"inputs\": {\"noise\": [\"20\", 0], \"guider\": [\"21\", 0], \"sampler\": [\"22\", 0], \"sigmas\": [\"23\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"21\": {\"class_type\": \"BasicGuider\", \"inputs\": {\"conditioning\": [\"6\", 0], \"model\": [\"4\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "absent", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "Guider has no negative input", "reason_code": null, "sampler_id": "3", "state": "absent"}}, "name": "custom-reroute-guider", "records": {"prompt": "{\"3\": {\"class_type\": \"SamplerCustomAdvanced\", \"inputs\": {\"noise\": [\"20\", 0], \"guider\": [\"21\", 0], \"sampler\": [\"22\", 0], \"sigmas\": [\"23\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"21\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"24\", 0]}}, \"24\": {\"class_type\": \"BasicGuider\", \"inputs\": {\"conditioning\": [\"6\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (DualCFGGuider).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support (DualCFGGuider).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "DualCFGGuider", "id": "21"}, "reason": "Unsupported guider", "reason_code": "unsupported-node", "sampler_id": "3", "state": "unresolved"}}, "name": "custom-unknown-guider", "records": {"prompt": "{\"3\": {\"class_type\": \"SamplerCustomAdvanced\", \"inputs\": {\"noise\": [\"20\", 0], \"guider\": [\"21\", 0], \"sampler\": [\"22\", 0], \"sigmas\": [\"23\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"21\": {\"class_type\": \"DualCFGGuider\", \"inputs\": {\"cond1\": [\"6\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (KSamplerPreview).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support (KSamplerPreview).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "KSamplerPreview", "id": "30"}, "reason": "Unsupported latent ancestry", "reason_code": "unsupported-node", "sampler_id": "3", "state": "unresolved"}}, "name": "latent-stage", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"LatentUpscale\", \"inputs\": {\"samples\": [\"30\", 0]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"30\": {\"class_type\": \"KSamplerPreview\", \"inputs\": {\"model\": [\"4\", 0], \"positive\": [\"6\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "latent-encode", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"31\", 0], \"vae\": [\"4\", 2]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"31\": {\"class_type\": \"LoadImage\", \"inputs\": {\"image\": \"x.png\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Cyclic latent ancestry", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "latent-cycle", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"LatentUpscale\", \"inputs\": {\"samples\": [\"3\", 0]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "override-ignored-\"\"", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0], \"wildcard\": \"\"}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "override-ignored-\"wild\"", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0], \"wildcard\": \"wild\"}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "override-ignored-[\"6\", 0]", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0], \"wildcard\": [\"6\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt exceeds inspection limits.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt exceeds inspection limits.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Resolution depth limit reached", "reason_code": "depth-limit", "sampler_id": "3", "state": "unresolved"}}, "name": "depth-limit", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"r69\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"deep\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"r0\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"6\", 0]}}, \"r1\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r0\", 0]}}, \"r2\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r1\", 0]}}, \"r3\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r2\", 0]}}, \"r4\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r3\", 0]}}, \"r5\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r4\", 0]}}, \"r6\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r5\", 0]}}, \"r7\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r6\", 0]}}, \"r8\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r7\", 0]}}, \"r9\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r8\", 0]}}, \"r10\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r9\", 0]}}, \"r11\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r10\", 0]}}, \"r12\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r11\", 0]}}, \"r13\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r12\", 0]}}, \"r14\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r13\", 0]}}, \"r15\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r14\", 0]}}, \"r16\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r15\", 0]}}, \"r17\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r16\", 0]}}, \"r18\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r17\", 0]}}, \"r19\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r18\", 0]}}, \"r20\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r19\", 0]}}, \"r21\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r20\", 0]}}, \"r22\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r21\", 0]}}, \"r23\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r22\", 0]}}, \"r24\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r23\", 0]}}, \"r25\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r24\", 0]}}, \"r26\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r25\", 0]}}, \"r27\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r26\", 0]}}, \"r28\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r27\", 0]}}, \"r29\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r28\", 0]}}, \"r30\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r29\", 0]}}, \"r31\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r30\", 0]}}, \"r32\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r31\", 0]}}, \"r33\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r32\", 0]}}, \"r34\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r33\", 0]}}, \"r35\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r34\", 0]}}, \"r36\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r35\", 0]}}, \"r37\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r36\", 0]}}, \"r38\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r37\", 0]}}, \"r39\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r38\", 0]}}, \"r40\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r39\", 0]}}, \"r41\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r40\", 0]}}, \"r42\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r41\", 0]}}, \"r43\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r42\", 0]}}, \"r44\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r43\", 0]}}, \"r45\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r44\", 0]}}, \"r46\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r45\", 0]}}, \"r47\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r46\", 0]}}, \"r48\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r47\", 0]}}, \"r49\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r48\", 0]}}, \"r50\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r49\", 0]}}, \"r51\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r50\", 0]}}, \"r52\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r51\", 0]}}, \"r53\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r52\", 0]}}, \"r54\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r53\", 0]}}, \"r55\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r54\", 0]}}, \"r56\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r55\", 0]}}, \"r57\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r56\", 0]}}, \"r58\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r57\", 0]}}, \"r59\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r58\", 0]}}, \"r60\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r59\", 0]}}, \"r61\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r60\", 0]}}, \"r62\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r61\", 0]}}, \"r63\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r62\", 0]}}, \"r64\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r63\", 0]}}, \"r65\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r64\", 0]}}, \"r66\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r65\", 0]}}, \"r67\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r66\", 0]}}, \"r68\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r67\", 0]}}, \"r69\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r68\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "deep"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "depth-near", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"r60\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"deep\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"r0\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"6\", 0]}}, \"r1\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r0\", 0]}}, \"r2\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r1\", 0]}}, \"r3\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r2\", 0]}}, \"r4\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r3\", 0]}}, \"r5\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r4\", 0]}}, \"r6\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r5\", 0]}}, \"r7\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r6\", 0]}}, \"r8\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r7\", 0]}}, \"r9\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r8\", 0]}}, \"r10\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r9\", 0]}}, \"r11\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r10\", 0]}}, \"r12\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r11\", 0]}}, \"r13\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r12\", 0]}}, \"r14\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r13\", 0]}}, \"r15\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r14\", 0]}}, \"r16\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r15\", 0]}}, \"r17\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r16\", 0]}}, \"r18\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r17\", 0]}}, \"r19\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r18\", 0]}}, \"r20\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r19\", 0]}}, \"r21\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r20\", 0]}}, \"r22\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r21\", 0]}}, \"r23\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r22\", 0]}}, \"r24\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r23\", 0]}}, \"r25\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r24\", 0]}}, \"r26\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r25\", 0]}}, \"r27\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r26\", 0]}}, \"r28\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r27\", 0]}}, \"r29\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r28\", 0]}}, \"r30\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r29\", 0]}}, \"r31\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r30\", 0]}}, \"r32\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r31\", 0]}}, \"r33\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r32\", 0]}}, \"r34\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r33\", 0]}}, \"r35\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r34\", 0]}}, \"r36\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r35\", 0]}}, \"r37\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r36\", 0]}}, \"r38\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r37\", 0]}}, \"r39\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r38\", 0]}}, \"r40\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r39\", 0]}}, \"r41\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r40\", 0]}}, \"r42\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r41\", 0]}}, \"r43\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r42\", 0]}}, \"r44\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r43\", 0]}}, \"r45\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r44\", 0]}}, \"r46\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r45\", 0]}}, \"r47\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r46\", 0]}}, \"r48\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r47\", 0]}}, \"r49\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r48\", 0]}}, \"r50\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r49\", 0]}}, \"r51\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r50\", 0]}}, \"r52\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r51\", 0]}}, \"r53\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r52\", 0]}}, \"r54\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r53\", 0]}}, \"r55\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r54\", 0]}}, \"r56\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r55\", 0]}}, \"r57\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r56\", 0]}}, \"r58\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r57\", 0]}}, \"r59\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r58\", 0]}}, \"r60\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"r59\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Saved PromptManager text was overwritten by another node", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "overwritten", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"shared\", \"clip\": [\"4\", 1], \"search_text\": \"\"}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"shared\", \"clip\": [\"4\", 1]}}}", "workflow": "{\"nodes\": [{\"id\": 6, \"type\": \"PromptManager\", \"widgets_values\": [\"own text\"]}, {\"id\": 7, \"type\": \"PromptManager\", \"widgets_values\": [\"other text\"]}]}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Saved PromptManager text was overwritten by another node", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "overwritten-subgraph", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"1:6\", 0], \"negative\": [\"1:7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"1:6\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"same\", \"clip\": [\"4\", 1]}}, \"1:7\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"same\"}}}", "workflow": "{\"nodes\": [{\"id\": 1, \"type\": \"sub-a\", \"widgets_values\": []}], \"definitions\": {\"subgraphs\": [{\"id\": \"sub-a\", \"nodes\": [{\"id\": 6, \"type\": \"PromptManagerFocused\", \"widgets_values\": {\"text\": \"a\"}}, {\"id\": 7, \"type\": \"PromptManagerFocused\", \"widgets_values\": [\"b\"]}]}]}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "shared"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "shared"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "overwritten-bad-workflow", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"shared\", \"clip\": [\"4\", 1], \"search_text\": \"\"}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"shared\", \"clip\": [\"4\", 1]}}}", "workflow": "{bad"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "shared"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "shared"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "workflow-type-list", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"shared\", \"clip\": [\"4\", 1], \"search_text\": \"\"}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"shared\", \"clip\": [\"4\", 1]}}}", "workflow": "{\"nodes\": [{\"id\": 6, \"type\": \"PromptManager\"}, {\"id\": 8, \"type\": [\"PromptManager\"]}]}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "shared"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "shared"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "workflow-type-dict", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"shared\", \"clip\": [\"4\", 1], \"search_text\": \"\"}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"shared\", \"clip\": [\"4\", 1]}}}", "workflow": "{\"nodes\": [{\"id\": 6, \"type\": \"PromptManager\"}, {\"id\": 8, \"type\": {\"a\": 1}}]}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "same"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "same"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "workflow-type-in-subgraph", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"1:6\", 0], \"negative\": [\"1:7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"1:6\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"same\", \"clip\": [\"4\", 1]}}, \"1:7\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"same\"}}}", "workflow": "{\"nodes\": [{\"id\": 1, \"type\": \"sub-a\", \"widgets_values\": []}], \"definitions\": {\"subgraphs\": [{\"id\": \"sub-a\", \"nodes\": [{\"id\": 2, \"type\": [1]}]}]}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Saved PromptManager text was overwritten by another node", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "workflow-type-skipped-keeps-overwritten", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"shared\", \"clip\": [\"4\", 1], \"search_text\": \"\"}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"shared\", \"clip\": [\"4\", 1]}}}", "workflow": "{\"nodes\": [{\"id\": 6, \"type\": \"PromptManager\", \"widgets_values\": [\"own text\"]}, {\"id\": 8, \"type\": [\"PromptManager\"]}, {\"id\": 7, \"type\": \"PromptManager\", \"widgets_values\": [\"other text\"]}]}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "shared"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "shared"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "workflow-type-without-id", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"shared\", \"clip\": [\"4\", 1], \"search_text\": \"\"}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"shared\", \"clip\": [\"4\", 1]}}}", "workflow": "{\"nodes\": [{\"id\": true, \"type\": [\"x\"]}, \"skipped\"]}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "Every sampler branch uses the same prompt pair", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "several-samplers", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "detailer", "records": {"prompt": "{\"3\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"5\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"wildcard\": \"\"}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": ""}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "17", "state": "resolved"}}, "name": "pass-through-any-switch-pair", "records": {"prompt": "{\"3\": {\"class_type\": \"SeedHistory\", \"inputs\": {\"seed\": 1538595059}}, \"5\": {\"class_type\": \"KikoProjectFilePath\", \"inputs\": {\"project_name\": \"demo\", \"filename\": \"final\"}}, \"6\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"model.safetensors\"}}, \"7\": {\"class_type\": \"CLIPLoader\", \"inputs\": {\"clip_name\": \"clip.safetensors\"}}, \"8\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"vae.safetensors\"}}, \"9\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"text\": \"\", \"loras\": [{\"name\": \"style-demo\", \"strength\": 1, \"active\": true}], \"model\": [\"6\", 0], \"clip\": [\"7\", 0]}}, \"10\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"negative_text\": \"\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"9\", 1]}}, \"15\": {\"class_type\": \"Any Switch (rgthree)\", \"inputs\": {\"any_02\": [\"10\", 0]}}, \"16\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 1536, \"batch_size\": 1}}, \"17\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": [\"3\", 0], \"steps\": 8, \"cfg\": 1.0, \"sampler_name\": \"er_sde\", \"scheduler\": \"beta\", \"denoise\": 1.0, \"model\": [\"9\", 0], \"positive\": [\"15\", 0], \"negative\": [\"10\", 1], \"latent_image\": [\"16\", 0]}}, \"18\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"17\", 0], \"vae\": [\"8\", 0]}}, \"19\": {\"class_type\": \"KikoSaveImage\", \"inputs\": {\"filename_prefix\": [\"5\", 0], \"images\": [\"18\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": ""}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "17", "state": "resolved"}}, "name": "pass-through-any-switch-same-pair", "records": {"prompt": "{\"3\": {\"class_type\": \"SeedHistory\", \"inputs\": {\"seed\": 1538595059}}, \"5\": {\"class_type\": \"KikoProjectFilePath\", \"inputs\": {\"project_name\": \"demo\", \"filename\": \"final\"}}, \"6\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"model.safetensors\"}}, \"7\": {\"class_type\": \"CLIPLoader\", \"inputs\": {\"clip_name\": \"clip.safetensors\"}}, \"8\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"vae.safetensors\"}}, \"9\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"text\": \"\", \"loras\": [{\"name\": \"style-demo\", \"strength\": 1, \"active\": true}], \"model\": [\"6\", 0], \"clip\": [\"7\", 0]}}, \"10\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"negative_text\": \"\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"9\", 1]}}, \"15\": {\"class_type\": \"Any Switch (rgthree)\", \"inputs\": {\"any_01\": [\"10\", 0], \"any_02\": [\"10\", 0]}}, \"16\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 1536, \"batch_size\": 1}}, \"17\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": [\"3\", 0], \"steps\": 8, \"cfg\": 1.0, \"sampler_name\": \"er_sde\", \"scheduler\": \"beta\", \"denoise\": 1.0, \"model\": [\"9\", 0], \"positive\": [\"15\", 0], \"negative\": [\"10\", 1], \"latent_image\": [\"16\", 0]}}, \"18\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"17\", 0], \"vae\": [\"8\", 0]}}, \"19\": {\"class_type\": \"KikoSaveImage\", \"inputs\": {\"filename_prefix\": [\"5\", 0], \"images\": [\"18\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": ""}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a red bicycle in the rain"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "17", "state": "resolved"}}, "name": "pass-through-any-switch-equal-texts", "records": {"prompt": "{\"3\": {\"class_type\": \"SeedHistory\", \"inputs\": {\"seed\": 1538595059}}, \"5\": {\"class_type\": \"KikoProjectFilePath\", \"inputs\": {\"project_name\": \"demo\", \"filename\": \"final\"}}, \"6\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"model.safetensors\"}}, \"7\": {\"class_type\": \"CLIPLoader\", \"inputs\": {\"clip_name\": \"clip.safetensors\"}}, \"8\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"vae.safetensors\"}}, \"9\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"text\": \"\", \"loras\": [{\"name\": \"style-demo\", \"strength\": 1, \"active\": true}], \"model\": [\"6\", 0], \"clip\": [\"7\", 0]}}, \"10\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"negative_text\": \"\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"9\", 1]}}, \"15\": {\"class_type\": \"Any Switch (rgthree)\", \"inputs\": {\"any_01\": [\"20\", 0], \"any_02\": [\"21\", 0]}}, \"16\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 1536, \"batch_size\": 1}}, \"17\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": [\"3\", 0], \"steps\": 8, \"cfg\": 1.0, \"sampler_name\": \"er_sde\", \"scheduler\": \"beta\", \"denoise\": 1.0, \"model\": [\"9\", 0], \"positive\": [\"15\", 0], \"negative\": [\"10\", 1], \"latent_image\": [\"16\", 0]}}, \"18\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"17\", 0], \"vae\": [\"8\", 0]}}, \"19\": {\"class_type\": \"KikoSaveImage\", \"inputs\": {\"filename_prefix\": [\"5\", 0], \"images\": [\"18\", 0]}}, \"20\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"7\", 0]}}, \"21\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"7\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Several prompts reach the sampler", "reason_code": null, "sampler_id": "17", "state": "ambiguous"}}, "name": "pass-through-any-switch-candidates", "records": {"prompt": "{\"3\": {\"class_type\": \"SeedHistory\", \"inputs\": {\"seed\": 1538595059}}, \"5\": {\"class_type\": \"KikoProjectFilePath\", \"inputs\": {\"project_name\": \"demo\", \"filename\": \"final\"}}, \"6\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"model.safetensors\"}}, \"7\": {\"class_type\": \"CLIPLoader\", \"inputs\": {\"clip_name\": \"clip.safetensors\"}}, \"8\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"vae.safetensors\"}}, \"9\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"text\": \"\", \"loras\": [{\"name\": \"style-demo\", \"strength\": 1, \"active\": true}], \"model\": [\"6\", 0], \"clip\": [\"7\", 0]}}, \"10\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"negative_text\": \"\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"9\", 1]}}, \"15\": {\"class_type\": \"Any Switch (rgthree)\", \"inputs\": {\"any_01\": [\"20\", 0], \"any_02\": [\"21\", 0]}}, \"16\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 1536, \"batch_size\": 1}}, \"17\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": [\"3\", 0], \"steps\": 8, \"cfg\": 1.0, \"sampler_name\": \"er_sde\", \"scheduler\": \"beta\", \"denoise\": 1.0, \"model\": [\"9\", 0], \"positive\": [\"15\", 0], \"negative\": [\"10\", 1], \"latent_image\": [\"16\", 0]}}, \"18\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"17\", 0], \"vae\": [\"8\", 0]}}, \"19\": {\"class_type\": \"KikoSaveImage\", \"inputs\": {\"filename_prefix\": [\"5\", 0], \"images\": [\"18\", 0]}}, \"20\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"clip\": [\"7\", 0]}}, \"21\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"7\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": ""}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "17", "state": "resolved"}}, "name": "pass-through-any-switch-prompt-manager-wins", "records": {"prompt": "{\"3\": {\"class_type\": \"SeedHistory\", \"inputs\": {\"seed\": 1538595059}}, \"5\": {\"class_type\": \"KikoProjectFilePath\", \"inputs\": {\"project_name\": \"demo\", \"filename\": \"final\"}}, \"6\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"model.safetensors\"}}, \"7\": {\"class_type\": \"CLIPLoader\", \"inputs\": {\"clip_name\": \"clip.safetensors\"}}, \"8\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"vae.safetensors\"}}, \"9\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"text\": \"\", \"loras\": [{\"name\": \"style-demo\", \"strength\": 1, \"active\": true}], \"model\": [\"6\", 0], \"clip\": [\"7\", 0]}}, \"10\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"negative_text\": \"\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"9\", 1]}}, \"15\": {\"class_type\": \"Any Switch (rgthree)\", \"inputs\": {\"any_01\": [\"20\", 0], \"any_02\": [\"10\", 0]}}, \"16\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 1536, \"batch_size\": 1}}, \"17\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": [\"3\", 0], \"steps\": 8, \"cfg\": 1.0, \"sampler_name\": \"er_sde\", \"scheduler\": \"beta\", \"denoise\": 1.0, \"model\": [\"9\", 0], \"positive\": [\"15\", 0], \"negative\": [\"10\", 1], \"latent_image\": [\"16\", 0]}}, \"18\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"17\", 0], \"vae\": [\"8\", 0]}}, \"19\": {\"class_type\": \"KikoSaveImage\", \"inputs\": {\"filename_prefix\": [\"5\", 0], \"images\": [\"18\", 0]}}, \"20\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"7\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (PromptSearchList).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt is chosen at run time (PromptSearchList).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "PromptSearchList", "id": "21"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "17", "state": "unresolved"}}, "name": "pass-through-any-switch-runtime-blocks", "records": {"prompt": "{\"3\": {\"class_type\": \"SeedHistory\", \"inputs\": {\"seed\": 1538595059}}, \"5\": {\"class_type\": \"KikoProjectFilePath\", \"inputs\": {\"project_name\": \"demo\", \"filename\": \"final\"}}, \"6\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"model.safetensors\"}}, \"7\": {\"class_type\": \"CLIPLoader\", \"inputs\": {\"clip_name\": \"clip.safetensors\"}}, \"8\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"vae.safetensors\"}}, \"9\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"text\": \"\", \"loras\": [{\"name\": \"style-demo\", \"strength\": 1, \"active\": true}], \"model\": [\"6\", 0], \"clip\": [\"7\", 0]}}, \"10\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"negative_text\": \"\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"9\", 1]}}, \"15\": {\"class_type\": \"Any Switch (rgthree)\", \"inputs\": {\"any_01\": [\"20\", 0], \"any_02\": [\"22\", 0]}}, \"16\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 1536, \"batch_size\": 1}}, \"17\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": [\"3\", 0], \"steps\": 8, \"cfg\": 1.0, \"sampler_name\": \"er_sde\", \"scheduler\": \"beta\", \"denoise\": 1.0, \"model\": [\"9\", 0], \"positive\": [\"15\", 0], \"negative\": [\"10\", 1], \"latent_image\": [\"16\", 0]}}, \"18\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"17\", 0], \"vae\": [\"8\", 0]}}, \"19\": {\"class_type\": \"KikoSaveImage\", \"inputs\": {\"filename_prefix\": [\"5\", 0], \"images\": [\"18\", 0]}}, \"20\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"21\", 0], \"clip\": [\"7\", 0]}}, \"21\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"search\": \"x\"}}, \"22\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"7\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (Any Switch (rgthree)).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support (Any Switch (rgthree)).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "Any Switch (rgthree)", "id": "15"}, "reason": "Unsupported node semantics or output slot", "reason_code": "unsupported-node", "sampler_id": "17", "state": "unresolved"}}, "name": "pass-through-any-switch-no-text", "records": {"prompt": "{\"3\": {\"class_type\": \"SeedHistory\", \"inputs\": {\"seed\": 1538595059}}, \"5\": {\"class_type\": \"KikoProjectFilePath\", \"inputs\": {\"project_name\": \"demo\", \"filename\": \"final\"}}, \"6\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"model.safetensors\"}}, \"7\": {\"class_type\": \"CLIPLoader\", \"inputs\": {\"clip_name\": \"clip.safetensors\"}}, \"8\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"vae.safetensors\"}}, \"9\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"text\": \"\", \"loras\": [{\"name\": \"style-demo\", \"strength\": 1, \"active\": true}], \"model\": [\"6\", 0], \"clip\": [\"7\", 0]}}, \"10\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"negative_text\": \"\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"9\", 1]}}, \"15\": {\"class_type\": \"Any Switch (rgthree)\", \"inputs\": {\"any_01\": [\"7\", 0]}}, \"16\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 1536, \"batch_size\": 1}}, \"17\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": [\"3\", 0], \"steps\": 8, \"cfg\": 1.0, \"sampler_name\": \"er_sde\", \"scheduler\": \"beta\", \"denoise\": 1.0, \"model\": [\"9\", 0], \"positive\": [\"15\", 0], \"negative\": [\"10\", 1], \"latent_image\": [\"16\", 0]}}, \"18\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"17\", 0], \"vae\": [\"8\", 0]}}, \"19\": {\"class_type\": \"KikoSaveImage\", \"inputs\": {\"filename_prefix\": [\"5\", 0], \"images\": [\"18\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": ""}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "17", "state": "resolved"}}, "name": "pass-through-unknown-chain", "records": {"prompt": "{\"3\": {\"class_type\": \"SeedHistory\", \"inputs\": {\"seed\": 1538595059}}, \"5\": {\"class_type\": \"KikoProjectFilePath\", \"inputs\": {\"project_name\": \"demo\", \"filename\": \"final\"}}, \"6\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"model.safetensors\"}}, \"7\": {\"class_type\": \"CLIPLoader\", \"inputs\": {\"clip_name\": \"clip.safetensors\"}}, \"8\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"vae.safetensors\"}}, \"9\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"text\": \"\", \"loras\": [{\"name\": \"style-demo\", \"strength\": 1, \"active\": true}], \"model\": [\"6\", 0], \"clip\": [\"7\", 0]}}, \"10\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"negative_text\": \"\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"9\", 1]}}, \"15\": {\"class_type\": \"Any Switch (rgthree)\", \"inputs\": {\"any_01\": [\"20\", 0]}}, \"16\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 1536, \"batch_size\": 1}}, \"17\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": [\"3\", 0], \"steps\": 8, \"cfg\": 1.0, \"sampler_name\": \"er_sde\", \"scheduler\": \"beta\", \"denoise\": 1.0, \"model\": [\"9\", 0], \"positive\": [\"15\", 0], \"negative\": [\"10\", 1], \"latent_image\": [\"16\", 0]}}, \"18\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"17\", 0], \"vae\": [\"8\", 0]}}, \"19\": {\"class_type\": \"KikoSaveImage\", \"inputs\": {\"filename_prefix\": [\"5\", 0], \"images\": [\"18\", 0]}}, \"20\": {\"class_type\": \"Router Node (vendor)\", \"inputs\": {\"in\": [\"10\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": ""}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a red bicycle in the rain"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "17", "state": "resolved"}}, "name": "pass-through-unknown-text-input", "records": {"prompt": "{\"3\": {\"class_type\": \"SeedHistory\", \"inputs\": {\"seed\": 1538595059}}, \"5\": {\"class_type\": \"KikoProjectFilePath\", \"inputs\": {\"project_name\": \"demo\", \"filename\": \"final\"}}, \"6\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"model.safetensors\"}}, \"7\": {\"class_type\": \"CLIPLoader\", \"inputs\": {\"clip_name\": \"clip.safetensors\"}}, \"8\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"vae.safetensors\"}}, \"9\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"text\": \"\", \"loras\": [{\"name\": \"style-demo\", \"strength\": 1, \"active\": true}], \"model\": [\"6\", 0], \"clip\": [\"7\", 0]}}, \"10\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"negative_text\": \"\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"9\", 1]}}, \"15\": {\"class_type\": \"Any Switch (rgthree)\", \"inputs\": {\"any_01\": [\"20\", 0]}}, \"16\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 1536, \"batch_size\": 1}}, \"17\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": [\"3\", 0], \"steps\": 8, \"cfg\": 1.0, \"sampler_name\": \"er_sde\", \"scheduler\": \"beta\", \"denoise\": 1.0, \"model\": [\"9\", 0], \"positive\": [\"15\", 0], \"negative\": [\"10\", 1], \"latent_image\": [\"16\", 0]}}, \"18\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"17\", 0], \"vae\": [\"8\", 0]}}, \"19\": {\"class_type\": \"KikoSaveImage\", \"inputs\": {\"filename_prefix\": [\"5\", 0], \"images\": [\"18\", 0]}}, \"20\": {\"class_type\": \"VendorTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"9\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "17", "state": "resolved"}}, "name": "pass-through-unknown-role-inputs", "records": {"prompt": "{\"3\": {\"class_type\": \"SeedHistory\", \"inputs\": {\"seed\": 1538595059}}, \"5\": {\"class_type\": \"KikoProjectFilePath\", \"inputs\": {\"project_name\": \"demo\", \"filename\": \"final\"}}, \"6\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"model.safetensors\"}}, \"7\": {\"class_type\": \"CLIPLoader\", \"inputs\": {\"clip_name\": \"clip.safetensors\"}}, \"8\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"vae.safetensors\"}}, \"9\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"text\": \"\", \"loras\": [{\"name\": \"style-demo\", \"strength\": 1, \"active\": true}], \"model\": [\"6\", 0], \"clip\": [\"7\", 0]}}, \"10\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"negative_text\": \"\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"9\", 1]}}, \"15\": {\"class_type\": \"Any Switch (rgthree)\", \"inputs\": {\"any_02\": [\"10\", 0]}}, \"16\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 1536, \"batch_size\": 1}}, \"17\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": [\"3\", 0], \"steps\": 8, \"cfg\": 1.0, \"sampler_name\": \"er_sde\", \"scheduler\": \"beta\", \"denoise\": 1.0, \"model\": [\"9\", 0], \"positive\": [\"20\", 0], \"negative\": [\"20\", 1], \"latent_image\": [\"16\", 0]}}, \"18\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"17\", 0], \"vae\": [\"8\", 0]}}, \"19\": {\"class_type\": \"KikoSaveImage\", \"inputs\": {\"filename_prefix\": [\"5\", 0], \"images\": [\"18\", 0]}}, \"20\": {\"class_type\": \"VendorControlApply\", \"inputs\": {\"positive\": [\"21\", 0], \"negative\": [\"22\", 0], \"control_net\": [\"8\", 0], \"image\": [\"8\", 0]}}, \"21\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"clip\": [\"7\", 0]}}, \"22\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"7\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": ""}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "17", "state": "resolved"}}, "name": "pass-through-unknown-conditioning-input", "records": {"prompt": "{\"3\": {\"class_type\": \"SeedHistory\", \"inputs\": {\"seed\": 1538595059}}, \"5\": {\"class_type\": \"KikoProjectFilePath\", \"inputs\": {\"project_name\": \"demo\", \"filename\": \"final\"}}, \"6\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"model.safetensors\"}}, \"7\": {\"class_type\": \"CLIPLoader\", \"inputs\": {\"clip_name\": \"clip.safetensors\"}}, \"8\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"vae.safetensors\"}}, \"9\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"text\": \"\", \"loras\": [{\"name\": \"style-demo\", \"strength\": 1, \"active\": true}], \"model\": [\"6\", 0], \"clip\": [\"7\", 0]}}, \"10\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"negative_text\": \"\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"9\", 1]}}, \"15\": {\"class_type\": \"Any Switch (rgthree)\", \"inputs\": {\"any_01\": [\"20\", 0]}}, \"16\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 1536, \"batch_size\": 1}}, \"17\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": [\"3\", 0], \"steps\": 8, \"cfg\": 1.0, \"sampler_name\": \"er_sde\", \"scheduler\": \"beta\", \"denoise\": 1.0, \"model\": [\"9\", 0], \"positive\": [\"15\", 0], \"negative\": [\"10\", 1], \"latent_image\": [\"16\", 0]}}, \"18\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"17\", 0], \"vae\": [\"8\", 0]}}, \"19\": {\"class_type\": \"KikoSaveImage\", \"inputs\": {\"filename_prefix\": [\"5\", 0], \"images\": [\"18\", 0]}}, \"20\": {\"class_type\": \"VendorStyleApply\", \"inputs\": {\"conditioning\": [\"10\", 0], \"style\": [\"21\", 0]}}, \"21\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"7\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (VendorTextGenerate).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt is chosen at run time (VendorTextGenerate).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "VendorTextGenerate", "id": "30"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "17", "state": "unresolved"}}, "name": "pass-through-generated-text-runtime", "records": {"prompt": "{\"3\": {\"class_type\": \"SeedHistory\", \"inputs\": {\"seed\": 1538595059}}, \"5\": {\"class_type\": \"KikoProjectFilePath\", \"inputs\": {\"project_name\": \"demo\", \"filename\": \"final\"}}, \"6\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"model.safetensors\"}}, \"7\": {\"class_type\": \"CLIPLoader\", \"inputs\": {\"clip_name\": \"clip.safetensors\"}}, \"8\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"vae.safetensors\"}}, \"9\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"text\": \"\", \"loras\": [{\"name\": \"style-demo\", \"strength\": 1, \"active\": true}], \"model\": [\"6\", 0], \"clip\": [\"7\", 0]}}, \"10\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": [\"30\", 0], \"negative_text\": \"\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"9\", 1]}}, \"15\": {\"class_type\": \"Any Switch (rgthree)\", \"inputs\": {\"any_02\": [\"10\", 0]}}, \"16\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 1536, \"batch_size\": 1}}, \"17\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": [\"3\", 0], \"steps\": 8, \"cfg\": 1.0, \"sampler_name\": \"er_sde\", \"scheduler\": \"beta\", \"denoise\": 1.0, \"model\": [\"9\", 0], \"positive\": [\"15\", 0], \"negative\": [\"10\", 1], \"latent_image\": [\"16\", 0]}}, \"18\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"17\", 0], \"vae\": [\"8\", 0]}}, \"19\": {\"class_type\": \"KikoSaveImage\", \"inputs\": {\"filename_prefix\": [\"5\", 0], \"images\": [\"18\", 0]}}, \"30\": {\"class_type\": \"VendorTextGenerate\", \"inputs\": {\"prompt\": [\"31\", 0], \"system_prompt\": [\"32\", 0], \"sampling_mode.seed\": 0, \"clip\": [\"7\", 0]}}, \"31\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": \"a red bicycle in the rain\"}}, \"32\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": \"You\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": ""}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a red bicycle in the rain"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "17", "state": "resolved"}}, "name": "pass-through-transformed-text", "records": {"prompt": "{\"3\": {\"class_type\": \"SeedHistory\", \"inputs\": {\"seed\": 1538595059}}, \"5\": {\"class_type\": \"KikoProjectFilePath\", \"inputs\": {\"project_name\": \"demo\", \"filename\": \"final\"}}, \"6\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"model.safetensors\"}}, \"7\": {\"class_type\": \"CLIPLoader\", \"inputs\": {\"clip_name\": \"clip.safetensors\"}}, \"8\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"vae.safetensors\"}}, \"9\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"text\": \"\", \"loras\": [{\"name\": \"style-demo\", \"strength\": 1, \"active\": true}], \"model\": [\"6\", 0], \"clip\": [\"7\", 0]}}, \"10\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": [\"30\", 0], \"negative_text\": \"\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"9\", 1]}}, \"15\": {\"class_type\": \"Any Switch (rgthree)\", \"inputs\": {\"any_02\": [\"10\", 0]}}, \"16\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 1536, \"batch_size\": 1}}, \"17\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": [\"3\", 0], \"steps\": 8, \"cfg\": 1.0, \"sampler_name\": \"er_sde\", \"scheduler\": \"beta\", \"denoise\": 1.0, \"model\": [\"9\", 0], \"positive\": [\"15\", 0], \"negative\": [\"10\", 1], \"latent_image\": [\"16\", 0]}}, \"18\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"17\", 0], \"vae\": [\"8\", 0]}}, \"19\": {\"class_type\": \"KikoSaveImage\", \"inputs\": {\"filename_prefix\": [\"5\", 0], \"images\": [\"18\", 0]}}, \"30\": {\"class_type\": \"VendorRegexReplace\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"pattern\": \"rain\", \"replace\": \"snow\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": ""}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a red bicycle in the rain"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "17", "state": "resolved"}}, "name": "pass-through-unknown-skips-clip", "records": {"prompt": "{\"3\": {\"class_type\": \"SeedHistory\", \"inputs\": {\"seed\": 1538595059}}, \"5\": {\"class_type\": \"KikoProjectFilePath\", \"inputs\": {\"project_name\": \"demo\", \"filename\": \"final\"}}, \"6\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"model.safetensors\"}}, \"7\": {\"class_type\": \"CLIPLoader\", \"inputs\": {\"clip_name\": \"clip.safetensors\"}}, \"8\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"vae.safetensors\"}}, \"9\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"text\": \"\", \"loras\": [{\"name\": \"style-demo\", \"strength\": 1, \"active\": true}], \"model\": [\"6\", 0], \"clip\": [\"7\", 0]}}, \"10\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"negative_text\": \"\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"9\", 1]}}, \"15\": {\"class_type\": \"Any Switch (rgthree)\", \"inputs\": {\"any_01\": [\"20\", 0]}}, \"16\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 1536, \"batch_size\": 1}}, \"17\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": [\"3\", 0], \"steps\": 8, \"cfg\": 1.0, \"sampler_name\": \"er_sde\", \"scheduler\": \"beta\", \"denoise\": 1.0, \"model\": [\"9\", 0], \"positive\": [\"15\", 0], \"negative\": [\"10\", 1], \"latent_image\": [\"16\", 0]}}, \"18\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"17\", 0], \"vae\": [\"8\", 0]}}, \"19\": {\"class_type\": \"KikoSaveImage\", \"inputs\": {\"filename_prefix\": [\"5\", 0], \"images\": [\"18\", 0]}}, \"20\": {\"class_type\": \"VendorPromptEncode\", \"inputs\": {\"prompt\": [\"21\", 0], \"clip\": [\"22\", 1]}}, \"21\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"a red bicycle in the rain\"}}, \"22\": {\"class_type\": \"VendorLoraLoader\", \"inputs\": {\"text\": \"\", \"clip\": [\"7\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "execution", "status": "resolved", "text": ""}, "positive": {"source": "execution", "status": "resolved", "text": "a generated caption of a lighthouse"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "17", "state": "resolved"}}, "name": "pass-through-generated-recorded", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"10\": {\"records\": [{\"text\": \"a generated caption of a lighthouse\", \"negative_text\": \"\", \"positive_text\": \"a generated caption of a lighthouse\", \"negative_effective_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"SeedHistory\", \"inputs\": {\"seed\": 1538595059}}, \"5\": {\"class_type\": \"KikoProjectFilePath\", \"inputs\": {\"project_name\": \"demo\", \"filename\": \"final\"}}, \"6\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"model.safetensors\"}}, \"7\": {\"class_type\": \"CLIPLoader\", \"inputs\": {\"clip_name\": \"clip.safetensors\"}}, \"8\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"vae.safetensors\"}}, \"9\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"text\": \"\", \"loras\": [{\"name\": \"style-demo\", \"strength\": 1, \"active\": true}], \"model\": [\"6\", 0], \"clip\": [\"7\", 0]}}, \"10\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": [\"30\", 0], \"negative_text\": \"\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"9\", 1]}}, \"15\": {\"class_type\": \"Any Switch (rgthree)\", \"inputs\": {\"any_02\": [\"10\", 0]}}, \"16\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 1536, \"batch_size\": 1}}, \"17\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": [\"3\", 0], \"steps\": 8, \"cfg\": 1.0, \"sampler_name\": \"er_sde\", \"scheduler\": \"beta\", \"denoise\": 1.0, \"model\": [\"9\", 0], \"positive\": [\"15\", 0], \"negative\": [\"10\", 1], \"latent_image\": [\"16\", 0]}}, \"18\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"17\", 0], \"vae\": [\"8\", 0]}}, \"19\": {\"class_type\": \"KikoSaveImage\", \"inputs\": {\"filename_prefix\": [\"5\", 0], \"images\": [\"18\", 0]}}, \"30\": {\"class_type\": \"VendorTextGenerate\", \"inputs\": {\"prompt\": [\"31\", 0], \"system_prompt\": [\"32\", 0], \"sampling_mode.seed\": 0, \"clip\": [\"7\", 0]}}, \"31\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": \"a red bicycle in the rain\"}}, \"32\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": \"You\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "execution", "status": "resolved", "text": ""}, "positive": {"source": "execution", "status": "resolved", "text": "a generated caption of a lighthouse"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "17", "state": "resolved"}}, "name": "pass-through-transformed-recorded", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"10\": {\"records\": [{\"text\": \"a generated caption of a lighthouse\", \"negative_text\": \"\", \"positive_text\": \"a generated caption of a lighthouse\", \"negative_effective_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"SeedHistory\", \"inputs\": {\"seed\": 1538595059}}, \"5\": {\"class_type\": \"KikoProjectFilePath\", \"inputs\": {\"project_name\": \"demo\", \"filename\": \"final\"}}, \"6\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"model.safetensors\"}}, \"7\": {\"class_type\": \"CLIPLoader\", \"inputs\": {\"clip_name\": \"clip.safetensors\"}}, \"8\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"vae.safetensors\"}}, \"9\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"text\": \"\", \"loras\": [{\"name\": \"style-demo\", \"strength\": 1, \"active\": true}], \"model\": [\"6\", 0], \"clip\": [\"7\", 0]}}, \"10\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": [\"30\", 0], \"negative_text\": \"\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"9\", 1]}}, \"15\": {\"class_type\": \"Any Switch (rgthree)\", \"inputs\": {\"any_02\": [\"10\", 0]}}, \"16\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 1536, \"batch_size\": 1}}, \"17\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": [\"3\", 0], \"steps\": 8, \"cfg\": 1.0, \"sampler_name\": \"er_sde\", \"scheduler\": \"beta\", \"denoise\": 1.0, \"model\": [\"9\", 0], \"positive\": [\"15\", 0], \"negative\": [\"10\", 1], \"latent_image\": [\"16\", 0]}}, \"18\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"17\", 0], \"vae\": [\"8\", 0]}}, \"19\": {\"class_type\": \"KikoSaveImage\", \"inputs\": {\"filename_prefix\": [\"5\", 0], \"images\": [\"18\", 0]}}, \"30\": {\"class_type\": \"VendorRegexReplace\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"pattern\": \"rain\", \"replace\": \"snow\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "execution", "status": "resolved", "text": ""}, "positive": {"source": "execution", "status": "resolved", "text": "a generated caption of a lighthouse"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "17", "state": "resolved"}}, "name": "pass-through-recorded-missing", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"10\": {\"records\": [{\"text\": \"a generated caption of a lighthouse\", \"negative_text\": \"\", \"positive_text\": \"a generated caption of a lighthouse\", \"negative_effective_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"SeedHistory\", \"inputs\": {\"seed\": 1538595059}}, \"5\": {\"class_type\": \"KikoProjectFilePath\", \"inputs\": {\"project_name\": \"demo\", \"filename\": \"final\"}}, \"6\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"model.safetensors\"}}, \"7\": {\"class_type\": \"CLIPLoader\", \"inputs\": {\"clip_name\": \"clip.safetensors\"}}, \"8\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"vae.safetensors\"}}, \"9\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"text\": \"\", \"loras\": [{\"name\": \"style-demo\", \"strength\": 1, \"active\": true}], \"model\": [\"6\", 0], \"clip\": [\"7\", 0]}}, \"10\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": [\"30\", 0], \"negative_text\": \"\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"9\", 1]}}, \"15\": {\"class_type\": \"Any Switch (rgthree)\", \"inputs\": {\"any_02\": [\"10\", 0]}}, \"16\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 1536, \"batch_size\": 1}}, \"17\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": [\"3\", 0], \"steps\": 8, \"cfg\": 1.0, \"sampler_name\": \"er_sde\", \"scheduler\": \"beta\", \"denoise\": 1.0, \"model\": [\"9\", 0], \"positive\": [\"15\", 0], \"negative\": [\"10\", 1], \"latent_image\": [\"16\", 0]}}, \"18\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"17\", 0], \"vae\": [\"8\", 0]}}, \"19\": {\"class_type\": \"KikoSaveImage\", \"inputs\": {\"filename_prefix\": [\"5\", 0], \"images\": [\"18\", 0]}}, \"30\": {\"class_type\": \"XLLM\", \"inputs\": {\"src\": [\"99\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "execution", "status": "resolved", "text": ""}, "positive": {"source": "execution", "status": "resolved", "text": "a generated caption of a lighthouse"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "17", "state": "resolved"}}, "name": "pass-through-recorded-several", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"10\": {\"records\": [{\"text\": \"a generated caption of a lighthouse\", \"negative_text\": \"\", \"positive_text\": \"a generated caption of a lighthouse\", \"negative_effective_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"SeedHistory\", \"inputs\": {\"seed\": 1538595059}}, \"5\": {\"class_type\": \"KikoProjectFilePath\", \"inputs\": {\"project_name\": \"demo\", \"filename\": \"final\"}}, \"6\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"model.safetensors\"}}, \"7\": {\"class_type\": \"CLIPLoader\", \"inputs\": {\"clip_name\": \"clip.safetensors\"}}, \"8\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"vae.safetensors\"}}, \"9\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"text\": \"\", \"loras\": [{\"name\": \"style-demo\", \"strength\": 1, \"active\": true}], \"model\": [\"6\", 0], \"clip\": [\"7\", 0]}}, \"10\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": [\"30\", 0], \"negative_text\": \"\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"9\", 1]}}, \"15\": {\"class_type\": \"Any Switch (rgthree)\", \"inputs\": {\"any_02\": [\"10\", 0]}}, \"16\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 1536, \"batch_size\": 1}}, \"17\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": [\"3\", 0], \"steps\": 8, \"cfg\": 1.0, \"sampler_name\": \"er_sde\", \"scheduler\": \"beta\", \"denoise\": 1.0, \"model\": [\"9\", 0], \"positive\": [\"15\", 0], \"negative\": [\"10\", 1], \"latent_image\": [\"16\", 0]}}, \"18\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"17\", 0], \"vae\": [\"8\", 0]}}, \"19\": {\"class_type\": \"KikoSaveImage\", \"inputs\": {\"filename_prefix\": [\"5\", 0], \"images\": [\"18\", 0]}}, \"30\": {\"class_type\": \"XLLM\", \"inputs\": {\"a\": [\"31\", 0], \"b\": [\"32\", 0]}}, \"31\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"a lighthouse on a cliff, golden hour\"}}, \"32\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"a red bicycle in the rain\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "execution", "status": "resolved", "text": ""}, "positive": {"source": "execution", "status": "resolved", "text": "a generated caption of a lighthouse"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "17", "state": "resolved"}}, "name": "pass-through-recorded-list-text", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"10\": {\"records\": [{\"text\": \"a generated caption of a lighthouse\", \"negative_text\": \"\", \"positive_text\": \"a generated caption of a lighthouse\", \"negative_effective_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"SeedHistory\", \"inputs\": {\"seed\": 1538595059}}, \"5\": {\"class_type\": \"KikoProjectFilePath\", \"inputs\": {\"project_name\": \"demo\", \"filename\": \"final\"}}, \"6\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"model.safetensors\"}}, \"7\": {\"class_type\": \"CLIPLoader\", \"inputs\": {\"clip_name\": \"clip.safetensors\"}}, \"8\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"vae.safetensors\"}}, \"9\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"text\": \"\", \"loras\": [{\"name\": \"style-demo\", \"strength\": 1, \"active\": true}], \"model\": [\"6\", 0], \"clip\": [\"7\", 0]}}, \"10\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": [\"30\", 0], \"negative_text\": \"\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"9\", 1]}}, \"15\": {\"class_type\": \"Any Switch (rgthree)\", \"inputs\": {\"any_02\": [\"10\", 0]}}, \"16\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 1536, \"batch_size\": 1}}, \"17\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": [\"3\", 0], \"steps\": 8, \"cfg\": 1.0, \"sampler_name\": \"er_sde\", \"scheduler\": \"beta\", \"denoise\": 1.0, \"model\": [\"9\", 0], \"positive\": [\"15\", 0], \"negative\": [\"10\", 1], \"latent_image\": [\"16\", 0]}}, \"18\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"17\", 0], \"vae\": [\"8\", 0]}}, \"19\": {\"class_type\": \"KikoSaveImage\", \"inputs\": {\"filename_prefix\": [\"5\", 0], \"images\": [\"18\", 0]}}, \"30\": {\"class_type\": \"XLLM\", \"inputs\": {\"text\": [1, 2, 3]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": ""}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a red bicycle in the rain"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "17", "state": "resolved"}}, "name": "pass-through-seeded-encoder-behind-noise", "records": {"prompt": "{\"3\": {\"class_type\": \"SeedHistory\", \"inputs\": {\"seed\": 1538595059}}, \"5\": {\"class_type\": \"KikoProjectFilePath\", \"inputs\": {\"project_name\": \"demo\", \"filename\": \"final\"}}, \"6\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"model.safetensors\"}}, \"7\": {\"class_type\": \"CLIPLoader\", \"inputs\": {\"clip_name\": \"clip.safetensors\"}}, \"8\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"vae.safetensors\"}}, \"9\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"text\": \"\", \"loras\": [{\"name\": \"style-demo\", \"strength\": 1, \"active\": true}], \"model\": [\"6\", 0], \"clip\": [\"7\", 0]}}, \"10\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"negative_text\": \"\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"9\", 1]}}, \"15\": {\"class_type\": \"Any Switch (rgthree)\", \"inputs\": {\"any_01\": [\"20\", 0]}}, \"16\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 1536, \"batch_size\": 1}}, \"17\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": [\"3\", 0], \"steps\": 8, \"cfg\": 1.0, \"sampler_name\": \"er_sde\", \"scheduler\": \"beta\", \"denoise\": 1.0, \"model\": [\"9\", 0], \"positive\": [\"15\", 0], \"negative\": [\"10\", 1], \"latent_image\": [\"16\", 0]}}, \"18\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"17\", 0], \"vae\": [\"8\", 0]}}, \"19\": {\"class_type\": \"KikoSaveImage\", \"inputs\": {\"filename_prefix\": [\"5\", 0], \"images\": [\"18\", 0]}}, \"20\": {\"class_type\": \"XNoise\", \"inputs\": {\"conditioning\": [\"21\", 0]}}, \"21\": {\"class_type\": \"XSeedEncode\", \"inputs\": {\"clip\": [\"7\", 0], \"text\": \"a red bicycle in the rain\", \"seed\": 3}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (XApply).", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": {"class_type": "XApply", "id": "20"}, "reason": "Unsupported node semantics or output slot", "reason_code": "unsupported-node", "sampler_id": "17", "state": "unresolved"}}, "name": "pass-through-unlinked-role-input", "records": {"prompt": "{\"3\": {\"class_type\": \"SeedHistory\", \"inputs\": {\"seed\": 1538595059}}, \"5\": {\"class_type\": \"KikoProjectFilePath\", \"inputs\": {\"project_name\": \"demo\", \"filename\": \"final\"}}, \"6\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"model.safetensors\"}}, \"7\": {\"class_type\": \"CLIPLoader\", \"inputs\": {\"clip_name\": \"clip.safetensors\"}}, \"8\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"vae.safetensors\"}}, \"9\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"text\": \"\", \"loras\": [{\"name\": \"style-demo\", \"strength\": 1, \"active\": true}], \"model\": [\"6\", 0], \"clip\": [\"7\", 0]}}, \"10\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"negative_text\": \"\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"9\", 1]}}, \"15\": {\"class_type\": \"Any Switch (rgthree)\", \"inputs\": {\"any_02\": [\"10\", 0]}}, \"16\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 1536, \"batch_size\": 1}}, \"17\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": [\"3\", 0], \"steps\": 8, \"cfg\": 1.0, \"sampler_name\": \"er_sde\", \"scheduler\": \"beta\", \"denoise\": 1.0, \"model\": [\"9\", 0], \"positive\": [\"20\", 0], \"negative\": [\"20\", 1], \"latent_image\": [\"16\", 0]}}, \"18\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"17\", 0], \"vae\": [\"8\", 0]}}, \"19\": {\"class_type\": \"KikoSaveImage\", \"inputs\": {\"filename_prefix\": [\"5\", 0], \"images\": [\"18\", 0]}}, \"20\": {\"class_type\": \"XApply\", \"inputs\": {\"positive\": [\"21\", 0], \"negative_opt\": \"\"}}, \"21\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"clip\": [\"7\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Several prompts reach the sampler", "reason_code": null, "sampler_id": "17", "state": "ambiguous"}}, "name": "pass-through-one-text-twice", "records": {"prompt": "{\"3\": {\"class_type\": \"SeedHistory\", \"inputs\": {\"seed\": 1538595059}}, \"5\": {\"class_type\": \"KikoProjectFilePath\", \"inputs\": {\"project_name\": \"demo\", \"filename\": \"final\"}}, \"6\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"model.safetensors\"}}, \"7\": {\"class_type\": \"CLIPLoader\", \"inputs\": {\"clip_name\": \"clip.safetensors\"}}, \"8\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"vae.safetensors\"}}, \"9\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"text\": \"\", \"loras\": [{\"name\": \"style-demo\", \"strength\": 1, \"active\": true}], \"model\": [\"6\", 0], \"clip\": [\"7\", 0]}}, \"10\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"negative_text\": \"\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"9\", 1]}}, \"15\": {\"class_type\": \"Any Switch (rgthree)\", \"inputs\": {\"any_01\": [\"20\", 0], \"any_02\": [\"23\", 0]}}, \"16\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 1536, \"batch_size\": 1}}, \"17\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": [\"3\", 0], \"steps\": 8, \"cfg\": 1.0, \"sampler_name\": \"er_sde\", \"scheduler\": \"beta\", \"denoise\": 1.0, \"model\": [\"9\", 0], \"positive\": [\"15\", 0], \"negative\": [\"10\", 1], \"latent_image\": [\"16\", 0]}}, \"18\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"17\", 0], \"vae\": [\"8\", 0]}}, \"19\": {\"class_type\": \"KikoSaveImage\", \"inputs\": {\"filename_prefix\": [\"5\", 0], \"images\": [\"18\", 0]}}, \"20\": {\"class_type\": \"XB\", \"inputs\": {\"p\": [\"21\", 0], \"q\": [\"22\", 0]}}, \"21\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"clip\": [\"7\", 0]}}, \"22\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"7\", 0]}}, \"23\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"clip\": [\"7\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a red vintage car in the rain"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "31", "state": "resolved"}}, "name": "anchor-branch-3", "records": {"__file_name": "s45_branch_3_00002_.png", "prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a knit beanie on a wooden table\", \"clip\": [\"1\", 1]}}, \"11\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"10\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"2\", 0]}}, \"12\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"11\", 0], \"vae\": [\"1\", 2]}}, \"13\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"bench/run/s45_branch_1\", \"images\": [\"12\", 0]}}, \"20\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"an old fishing boat at dawn\", \"clip\": [\"1\", 1]}}, \"21\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"20\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"2\", 0]}}, \"22\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"21\", 0], \"vae\": [\"1\", 2]}}, \"23\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"bench/run/s45_branch_2\", \"images\": [\"22\", 0]}}, \"30\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red vintage car in the rain\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"30\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"2\", 0]}}, \"32\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"31\", 0], \"vae\": [\"1\", 2]}}, \"33\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"bench/run/s45_branch_3\", \"images\": [\"32\", 0]}}, \"40\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cozy library with tall shelves\", \"clip\": [\"1\", 1]}}, \"41\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"40\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"2\", 0]}}, \"42\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"41\", 0], \"vae\": [\"1\", 2]}}, \"43\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"bench/run/s45_branch_4\", \"images\": [\"42\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "anchor-branch-unanchored", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a knit beanie on a wooden table\", \"clip\": [\"1\", 1]}}, \"11\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"10\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"2\", 0]}}, \"12\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"11\", 0], \"vae\": [\"1\", 2]}}, \"13\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"bench/run/s45_branch_1\", \"images\": [\"12\", 0]}}, \"20\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"an old fishing boat at dawn\", \"clip\": [\"1\", 1]}}, \"21\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"20\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"2\", 0]}}, \"22\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"21\", 0], \"vae\": [\"1\", 2]}}, \"23\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"bench/run/s45_branch_2\", \"images\": [\"22\", 0]}}, \"30\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red vintage car in the rain\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"30\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"2\", 0]}}, \"32\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"31\", 0], \"vae\": [\"1\", 2]}}, \"33\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"bench/run/s45_branch_3\", \"images\": [\"32\", 0]}}, \"40\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cozy library with tall shelves\", \"clip\": [\"1\", 1]}}, \"41\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"40\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"2\", 0]}}, \"42\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"41\", 0], \"vae\": [\"1\", 2]}}, \"43\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"bench/run/s45_branch_4\", \"images\": [\"42\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "anchor-branch-no-match", "records": {"__file_name": "photo_00001_.png", "prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a knit beanie on a wooden table\", \"clip\": [\"1\", 1]}}, \"11\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"10\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"2\", 0]}}, \"12\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"11\", 0], \"vae\": [\"1\", 2]}}, \"13\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"bench/run/s45_branch_1\", \"images\": [\"12\", 0]}}, \"20\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"an old fishing boat at dawn\", \"clip\": [\"1\", 1]}}, \"21\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"20\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"2\", 0]}}, \"22\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"21\", 0], \"vae\": [\"1\", 2]}}, \"23\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"bench/run/s45_branch_2\", \"images\": [\"22\", 0]}}, \"30\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red vintage car in the rain\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"30\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"2\", 0]}}, \"32\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"31\", 0], \"vae\": [\"1\", 2]}}, \"33\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"bench/run/s45_branch_3\", \"images\": [\"32\", 0]}}, \"40\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cozy library with tall shelves\", \"clip\": [\"1\", 1]}}, \"41\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"40\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"2\", 0]}}, \"42\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"41\", 0], \"vae\": [\"1\", 2]}}, \"43\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"bench/run/s45_branch_4\", \"images\": [\"42\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "an old fishing boat at dawn"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "21", "state": "resolved"}}, "name": "anchor-branch-linked", "records": {"__file_name": "s45_branch_2_00007_.png", "prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a knit beanie on a wooden table\", \"clip\": [\"1\", 1]}}, \"11\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"10\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"2\", 0]}}, \"12\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"11\", 0], \"vae\": [\"1\", 2]}}, \"13\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": [\"90\", 0], \"images\": [\"12\", 0]}}, \"20\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"an old fishing boat at dawn\", \"clip\": [\"1\", 1]}}, \"21\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"20\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"2\", 0]}}, \"22\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"21\", 0], \"vae\": [\"1\", 2]}}, \"23\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": [\"91\", 0], \"images\": [\"22\", 0]}}, \"30\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red vintage car in the rain\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"30\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"2\", 0]}}, \"32\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"31\", 0], \"vae\": [\"1\", 2]}}, \"33\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": [\"92\", 0], \"images\": [\"32\", 0]}}, \"40\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cozy library with tall shelves\", \"clip\": [\"1\", 1]}}, \"41\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"40\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"2\", 0]}}, \"42\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"41\", 0], \"vae\": [\"1\", 2]}}, \"43\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": [\"93\", 0], \"images\": [\"42\", 0]}}, \"90\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"bench/run/s45_branch_1\"}}, \"91\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"bench/run/s45_branch_2\"}}, \"92\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"bench/run/s45_branch_3\"}}, \"93\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"bench/run/s45_branch_4\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a cozy library with tall shelves"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "41", "state": "resolved"}}, "name": "anchor-branch-unknown-saver", "records": {"__file_name": "s45_branch_4_00001.webp", "prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a knit beanie on a wooden table\", \"clip\": [\"1\", 1]}}, \"11\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"10\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"2\", 0]}}, \"12\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"11\", 0], \"vae\": [\"1\", 2]}}, \"13\": {\"class_type\": \"VendorSaveImage\", \"inputs\": {\"filename_prefix\": \"bench/run/s45_branch_1\", \"images\": [\"12\", 0]}}, \"20\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"an old fishing boat at dawn\", \"clip\": [\"1\", 1]}}, \"21\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"20\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"2\", 0]}}, \"22\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"21\", 0], \"vae\": [\"1\", 2]}}, \"23\": {\"class_type\": \"VendorSaveImage\", \"inputs\": {\"filename_prefix\": \"bench/run/s45_branch_2\", \"images\": [\"22\", 0]}}, \"30\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red vintage car in the rain\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"30\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"2\", 0]}}, \"32\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"31\", 0], \"vae\": [\"1\", 2]}}, \"33\": {\"class_type\": \"VendorSaveImage\", \"inputs\": {\"filename_prefix\": \"bench/run/s45_branch_3\", \"images\": [\"32\", 0]}}, \"40\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cozy library with tall shelves\", \"clip\": [\"1\", 1]}}, \"41\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"40\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"2\", 0]}}, \"42\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"41\", 0], \"vae\": [\"1\", 2]}}, \"43\": {\"class_type\": \"VendorSaveImage\", \"inputs\": {\"filename_prefix\": \"bench/run/s45_branch_4\", \"images\": [\"42\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "anchor-shared-prefix", "records": {"__file_name": "IMG_GEN_00371_.png", "prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a knit beanie on a wooden table\", \"clip\": [\"1\", 1]}}, \"11\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"10\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"2\", 0]}}, \"12\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"11\", 0], \"vae\": [\"1\", 2]}}, \"13\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"dataset/IMG_GEN\", \"images\": [\"12\", 0]}}, \"20\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"an old fishing boat at dawn\", \"clip\": [\"1\", 1]}}, \"21\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"20\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"2\", 0]}}, \"22\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"21\", 0], \"vae\": [\"1\", 2]}}, \"23\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"dataset/IMG_GEN\", \"images\": [\"22\", 0]}}, \"30\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red vintage car in the rain\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"30\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"2\", 0]}}, \"32\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"31\", 0], \"vae\": [\"1\", 2]}}, \"33\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"dataset/IMG_GEN\", \"images\": [\"32\", 0]}}, \"40\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cozy library with tall shelves\", \"clip\": [\"1\", 1]}}, \"41\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"40\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"2\", 0]}}, \"42\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"41\", 0], \"vae\": [\"1\", 2]}}, \"43\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"dataset/IMG_GEN\", \"images\": [\"42\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a knit beanie on a wooden table"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "114", "state": "resolved"}}, "name": "anchor-same-links", "records": {"__file_name": "final_00003_.png", "prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"90\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a knit beanie on a wooden table\", \"clip\": [\"1\", 1]}}, \"63\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"90\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"2\", 0]}}, \"30\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"63\", 0], \"vae\": [\"1\", 2]}}, \"98\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"draft\", \"images\": [\"30\", 0]}}, \"110\": {\"class_type\": \"VendorGpuCleaner\", \"inputs\": {\"anything\": [\"63\", 0]}}, \"108\": {\"class_type\": \"LatentUpscaleBy\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"scale_by\": 1.2, \"samples\": [\"110\", 0]}}, \"114\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.5, \"model\": [\"1\", 0], \"positive\": [\"90\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"108\", 0]}}, \"113\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"114\", 0], \"vae\": [\"1\", 2]}}, \"115\": {\"class_type\": \"VendorGpuCleaner\", \"inputs\": {\"anything\": [\"113\", 0]}}, \"107\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"final\", \"images\": [\"115\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a knit beanie on a wooden table"}}, "resolution": {"node": null, "reason": "Every sampler branch uses the same prompt pair", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "anchor-same-links-unanchored", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"90\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a knit beanie on a wooden table\", \"clip\": [\"1\", 1]}}, \"63\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"90\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"2\", 0]}}, \"30\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"63\", 0], \"vae\": [\"1\", 2]}}, \"98\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"draft\", \"images\": [\"30\", 0]}}, \"110\": {\"class_type\": \"VendorGpuCleaner\", \"inputs\": {\"anything\": [\"63\", 0]}}, \"108\": {\"class_type\": \"LatentUpscaleBy\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"scale_by\": 1.2, \"samples\": [\"110\", 0]}}, \"114\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.5, \"model\": [\"1\", 0], \"positive\": [\"90\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"108\", 0]}}, \"113\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"114\", 0], \"vae\": [\"1\", 2]}}, \"115\": {\"class_type\": \"VendorGpuCleaner\", \"inputs\": {\"anything\": [\"113\", 0]}}, \"107\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"final\", \"images\": [\"115\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Several sampler stages were found; their prompts were not compared.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Several sampler stages were found; their prompts were not compared.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Multistage sampler ancestry is ambiguous", "reason_code": null, "sampler_id": "114", "state": "unresolved"}}, "name": "anchor-other-links", "records": {"__file_name": "final_00003_.png", "prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"90\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a knit beanie on a wooden table\", \"clip\": [\"1\", 1]}}, \"63\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"90\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"2\", 0]}}, \"30\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"63\", 0], \"vae\": [\"1\", 2]}}, \"98\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"draft\", \"images\": [\"30\", 0]}}, \"110\": {\"class_type\": \"VendorGpuCleaner\", \"inputs\": {\"anything\": [\"63\", 0]}}, \"108\": {\"class_type\": \"LatentUpscaleBy\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"scale_by\": 1.2, \"samples\": [\"110\", 0]}}, \"114\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.5, \"model\": [\"1\", 0], \"positive\": [\"91\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"108\", 0]}}, \"113\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"114\", 0], \"vae\": [\"1\", 2]}}, \"115\": {\"class_type\": \"VendorGpuCleaner\", \"inputs\": {\"anything\": [\"113\", 0]}}, \"107\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"final\", \"images\": [\"115\", 0]}}, \"91\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"an old fishing boat at dawn\", \"clip\": [\"1\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Several sampler stages were found; their prompts were not compared.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Several sampler stages were found; their prompts were not compared.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Multistage sampler ancestry is ambiguous", "reason_code": null, "sampler_id": "13", "state": "unresolved"}}, "name": "anchor-hidden-earlier", "records": {"__file_name": "out_00001_.png", "prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"cat X\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"dog Y\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"5\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"2\", 0]}}, \"11\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"6\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"10\", 0]}}, \"12\": {\"class_type\": \"LatentBlend\", \"inputs\": {\"samples1\": [\"11\", 0], \"samples2\": [\"2\", 0], \"blend_factor\": 0.5}}, \"13\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.5, \"model\": [\"1\", 0], \"positive\": [\"6\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"12\", 0]}}, \"14\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"13\", 0], \"vae\": [\"1\", 2]}}, \"15\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"out\", \"images\": [\"14\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Several sampler stages were found; their prompts were not compared.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Several sampler stages were found; their prompts were not compared.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Multistage sampler ancestry is ambiguous", "reason_code": null, "sampler_id": "13", "state": "unresolved"}}, "name": "anchor-hidden-override", "records": {"__file_name": "out_00001_.png", "prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"cat X\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"dog Y\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"5\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"2\", 0]}}, \"11\": {\"class_type\": \"KSampler (Efficient)\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"6\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"2\", 0], \"script\": [\"40\", 0]}}, \"40\": {\"class_type\": \"XY Plot\", \"inputs\": {\"grid_spacing\": 0}}, \"12\": {\"class_type\": \"LatentBlend\", \"inputs\": {\"samples1\": [\"11\", 0], \"samples2\": [\"2\", 0], \"blend_factor\": 0.5}}, \"13\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.5, \"model\": [\"1\", 0], \"positive\": [\"6\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"12\", 0]}}, \"14\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"13\", 0], \"vae\": [\"1\", 2]}}, \"15\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"out\", \"images\": [\"14\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a knit beanie on a wooden table"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "114", "state": "resolved"}}, "name": "anchor-first-stage-no-latent", "records": {"__file_name": "final_00003_.png", "prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"90\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a knit beanie on a wooden table\", \"clip\": [\"1\", 1]}}, \"63\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"90\", 0], \"negative\": [\"3\", 0]}}, \"30\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"63\", 0], \"vae\": [\"1\", 2]}}, \"98\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"draft\", \"images\": [\"30\", 0]}}, \"110\": {\"class_type\": \"VendorGpuCleaner\", \"inputs\": {\"anything\": [\"63\", 0]}}, \"108\": {\"class_type\": \"LatentUpscaleBy\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"scale_by\": 1.2, \"samples\": [\"110\", 0]}}, \"114\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.5, \"model\": [\"1\", 0], \"positive\": [\"90\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"108\", 0]}}, \"113\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"114\", 0], \"vae\": [\"1\", 2]}}, \"115\": {\"class_type\": \"VendorGpuCleaner\", \"inputs\": {\"anything\": [\"113\", 0]}}, \"107\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"final\", \"images\": [\"115\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Several sampler stages were found; their prompts were not compared.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Several sampler stages were found; their prompts were not compared.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Multistage sampler ancestry is ambiguous", "reason_code": null, "sampler_id": "114", "state": "unresolved"}}, "name": "anchor-first-stage-literal-latent", "records": {"__file_name": "final_00003_.png", "prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"90\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a knit beanie on a wooden table\", \"clip\": [\"1\", 1]}}, \"63\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"90\", 0], \"negative\": [\"3\", 0], \"latent_image\": \"latent\"}}, \"30\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"63\", 0], \"vae\": [\"1\", 2]}}, \"98\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"draft\", \"images\": [\"30\", 0]}}, \"110\": {\"class_type\": \"VendorGpuCleaner\", \"inputs\": {\"anything\": [\"63\", 0]}}, \"108\": {\"class_type\": \"LatentUpscaleBy\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"scale_by\": 1.2, \"samples\": [\"110\", 0]}}, \"114\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.5, \"model\": [\"1\", 0], \"positive\": [\"90\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"108\", 0]}}, \"113\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"114\", 0], \"vae\": [\"1\", 2]}}, \"115\": {\"class_type\": \"VendorGpuCleaner\", \"inputs\": {\"anything\": [\"113\", 0]}}, \"107\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"final\", \"images\": [\"115\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Several sampler stages were found; their prompts were not compared.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Several sampler stages were found; their prompts were not compared.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Multistage sampler ancestry is ambiguous", "reason_code": null, "sampler_id": "114", "state": "unresolved"}}, "name": "anchor-first-stage-missing-latent", "records": {"__file_name": "final_00003_.png", "prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"90\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a knit beanie on a wooden table\", \"clip\": [\"1\", 1]}}, \"63\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"90\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"999\", 0]}}, \"30\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"63\", 0], \"vae\": [\"1\", 2]}}, \"98\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"draft\", \"images\": [\"30\", 0]}}, \"110\": {\"class_type\": \"VendorGpuCleaner\", \"inputs\": {\"anything\": [\"63\", 0]}}, \"108\": {\"class_type\": \"LatentUpscaleBy\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"scale_by\": 1.2, \"samples\": [\"110\", 0]}}, \"114\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.5, \"model\": [\"1\", 0], \"positive\": [\"90\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"108\", 0]}}, \"113\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"114\", 0], \"vae\": [\"1\", 2]}}, \"115\": {\"class_type\": \"VendorGpuCleaner\", \"inputs\": {\"anything\": [\"113\", 0]}}, \"107\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"final\", \"images\": [\"115\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Several sampler stages were found; their prompts were not compared.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Several sampler stages were found; their prompts were not compared.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Multistage sampler ancestry is ambiguous", "reason_code": null, "sampler_id": "114", "state": "unresolved"}}, "name": "anchor-first-stage-cyclic-latent", "records": {"__file_name": "final_00003_.png", "prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"90\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a knit beanie on a wooden table\", \"clip\": [\"1\", 1]}}, \"63\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"90\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"70\", 0]}}, \"30\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"63\", 0], \"vae\": [\"1\", 2]}}, \"98\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"draft\", \"images\": [\"30\", 0]}}, \"110\": {\"class_type\": \"VendorGpuCleaner\", \"inputs\": {\"anything\": [\"63\", 0]}}, \"108\": {\"class_type\": \"LatentUpscaleBy\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"scale_by\": 1.2, \"samples\": [\"110\", 0]}}, \"114\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.5, \"model\": [\"1\", 0], \"positive\": [\"90\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"108\", 0]}}, \"113\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"114\", 0], \"vae\": [\"1\", 2]}}, \"115\": {\"class_type\": \"VendorGpuCleaner\", \"inputs\": {\"anything\": [\"113\", 0]}}, \"107\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"final\", \"images\": [\"115\", 0]}}, \"70\": {\"class_type\": \"VendorLatentOp\", \"inputs\": {\"samples\": [\"63\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Several sampler stages were found; their prompts were not compared.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Several sampler stages were found; their prompts were not compared.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Multistage sampler ancestry is ambiguous", "reason_code": null, "sampler_id": "114", "state": "unresolved"}}, "name": "anchor-first-stage-stage-shaped", "records": {"__file_name": "final_00003_.png", "prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"90\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a knit beanie on a wooden table\", \"clip\": [\"1\", 1]}}, \"63\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"90\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"70\", 0]}}, \"30\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"63\", 0], \"vae\": [\"1\", 2]}}, \"98\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"draft\", \"images\": [\"30\", 0]}}, \"110\": {\"class_type\": \"VendorGpuCleaner\", \"inputs\": {\"anything\": [\"63\", 0]}}, \"108\": {\"class_type\": \"LatentUpscaleBy\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"scale_by\": 1.2, \"samples\": [\"110\", 0]}}, \"114\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.5, \"model\": [\"1\", 0], \"positive\": [\"90\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"108\", 0]}}, \"113\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"114\", 0], \"vae\": [\"1\", 2]}}, \"115\": {\"class_type\": \"VendorGpuCleaner\", \"inputs\": {\"anything\": [\"113\", 0]}}, \"107\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"final\", \"images\": [\"115\", 0]}}, \"70\": {\"class_type\": \"VendorSampler\", \"inputs\": {\"model\": [\"1\", 0], \"positive\": [\"90\", 0], \"latent_image\": [\"2\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Several sampler stages were found; their prompts were not compared.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Several sampler stages were found; their prompts were not compared.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Multistage sampler ancestry is ambiguous", "reason_code": null, "sampler_id": "114", "state": "unresolved"}}, "name": "anchor-first-stage-detailer", "records": {"__file_name": "final_00003_.png", "prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"90\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a knit beanie on a wooden table\", \"clip\": [\"1\", 1]}}, \"63\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"90\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"2\", 0], \"image\": [\"30\", 0]}}, \"30\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"63\", 0], \"vae\": [\"1\", 2]}}, \"98\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"draft\", \"images\": [\"30\", 0]}}, \"110\": {\"class_type\": \"VendorGpuCleaner\", \"inputs\": {\"anything\": [\"63\", 0]}}, \"108\": {\"class_type\": \"LatentUpscaleBy\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"scale_by\": 1.2, \"samples\": [\"110\", 0]}}, \"114\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.5, \"model\": [\"1\", 0], \"positive\": [\"90\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"108\", 0]}}, \"113\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"114\", 0], \"vae\": [\"1\", 2]}}, \"115\": {\"class_type\": \"VendorGpuCleaner\", \"inputs\": {\"anything\": [\"113\", 0]}}, \"107\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"final\", \"images\": [\"115\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "embedded-parameters", "status": "resolved", "text": "blur"}, "positive": {"source": "embedded-parameters", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "parameters-only", "records": {"parameters": "a fox\nNegative prompt: blur\nSteps: 20, Sampler: euler"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "prompt-and-parameters", "records": {"parameters": "ignored", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "Every sampler branch uses the same prompt pair", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "select-two-identical", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-two-differ", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-two-negative-differs", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"8\", 0], \"latent_image\": [\"5\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-identical-without-negative", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"latent_image\": [\"5\", 0]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"latent_image\": [\"5\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-one-unresolved", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"missing\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-both-unresolved", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"x\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"y\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "Every sampler branch uses the same prompt pair", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "select-three-identical-one-advanced", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"10\": {\"class_type\": \"KSamplerAdvanced\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-same-text-other-recipe", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"11\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"11\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"fox\", \"prepend_text\": \"a\", \"append_text\": \"\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "9", "state": "resolved"}}, "name": "select-multistage-latent", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"3\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-selector-and-plain", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"12\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"12\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 0], \"on_true\": [\"6\", 0], \"on_false\": [\"8\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "select-preview-dropped", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"13\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"3\", 0]}}, \"14\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"9\", 0]}}, \"15\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"13\", 0]}}, \"16\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"14\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-all-previews-kept", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"13\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"3\", 0]}}, \"14\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"9\", 0]}}, \"15\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"13\", 0]}}, \"16\": {\"class_type\": \"Image Comparer (rgthree)\", \"inputs\": {\"images\": [\"14\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-preview-and-file", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"13\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"3\", 0]}}, \"14\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"9\", 0]}}, \"15\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"13\", 0]}}, \"16\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"14\", 0]}}, \"17\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"14\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "select-unconsumed-stage-kept", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"14\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"9\", 0]}}, \"16\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"14\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-preview-unhashable-class", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"14\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"9\", 0]}}, \"16\": {\"class_type\": [\"PreviewImage\"], \"inputs\": {\"images\": [\"14\", 0]}}, \"17\": {\"class_type\": {\"a\": 1}, \"inputs\": {\"images\": [\"3\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "select-preview-through-bad-node", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"13\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"3\", 0]}}, \"15\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"13\", 0]}}, \"16\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"9\", 0]}}, \"18\": \"not a node\", \"19\": {\"class_type\": \"Note\", \"inputs\": {\"x\": [\"18\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "11", "state": "resolved"}}, "name": "select-detailer-same-prompt", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"10\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"3\", 0]}}, \"11\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"10\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Sampler stages have different prompts", "reason_code": "multistage-differs", "sampler_id": "11", "state": "ambiguous"}}, "name": "select-detailer-differs", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"10\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"3\", 0]}}, \"11\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"10\", 0], \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-detailer-and-own-output", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"10\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"3\", 0]}}, \"11\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"10\", 0], \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"10\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Expected an image link", "reason_code": "malformed", "sampler_id": "11", "state": "unresolved"}}, "name": "select-detailer-image-literal", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"11\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": \"not a link\", \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Cyclic sampler stage ancestry", "reason_code": "malformed", "sampler_id": "11", "state": "unresolved"}}, "name": "select-detailer-cycle", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"11\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"10\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"10\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"11\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Sampler stages have different prompts", "reason_code": "multistage-differs", "sampler_id": "21", "state": "ambiguous"}}, "name": "select-detailer-chain", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"10\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"3\", 0]}}, \"11\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"10\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"21\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"11\", 0], \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"21\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "21", "state": "resolved"}}, "name": "select-detailer-chain-same", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"10\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"3\", 0]}}, \"11\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"10\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"21\": {\"class_type\": \"DetailerForEach\", \"inputs\": {\"image\": [\"11\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"21\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Sampler stages have different prompts", "reason_code": "multistage-differs", "sampler_id": "11", "state": "ambiguous"}}, "name": "select-detailer-two-upstream", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"9\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"10\": {\"class_type\": \"ImageBlend\", \"inputs\": {\"image1\": [\"13\", 0], \"image2\": [\"14\", 0]}}, \"13\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"3\", 0]}}, \"14\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"9\", 0]}}, \"11\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"10\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (MysterySampler).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support (MysterySampler).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "MysterySampler", "id": "10"}, "reason": "Unsupported sampler stage ancestry", "reason_code": "unsupported-node", "sampler_id": "11", "state": "unresolved"}}, "name": "select-detailer-unsupported-stage", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"10\": {\"class_type\": \"MysterySampler\", \"inputs\": {\"positive\": [\"6\", 0], \"model\": [\"4\", 0]}}, \"11\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"10\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Missing or malformed graph node", "reason_code": "malformed", "sampler_id": "11", "state": "unresolved"}}, "name": "select-detailer-upstream-unresolved", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"gone\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"10\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"3\", 0]}}, \"11\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"10\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Selector branches have different prompts", "reason_code": null, "sampler_id": "11", "state": "ambiguous"}}, "name": "select-detailer-upstream-selector", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"15\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"15\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 0], \"on_true\": [\"6\", 0], \"on_false\": [\"8\", 0]}}, \"10\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"3\", 0]}}, \"11\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"10\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (FaceDetailer).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt is chosen at run time (FaceDetailer).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "FaceDetailer", "id": "11"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "11", "state": "unresolved"}}, "name": "select-detailer-wildcard", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"10\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"3\", 0]}}, \"11\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"10\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"wildcard\": \"[x|y]\"}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-detailer-no-upscaled-image", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"10\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"3\", 0]}}, \"11\": {\"class_type\": \"UltimateSDUpscaleNoUpscale\", \"inputs\": {\"image\": [\"10\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "11", "state": "resolved"}}, "name": "select-detailer-no-sampler-upstream", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"10\": {\"class_type\": \"LoadImage\", \"inputs\": {\"image\": \"a.png\"}}, \"11\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"10\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-detailer-deep-ancestry", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"d0\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"3\", 0]}}, \"d1\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d0\", 0]}}, \"d2\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d1\", 0]}}, \"d3\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d2\", 0]}}, \"d4\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d3\", 0]}}, \"d5\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d4\", 0]}}, \"d6\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d5\", 0]}}, \"d7\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d6\", 0]}}, \"d8\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d7\", 0]}}, \"d9\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d8\", 0]}}, \"d10\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d9\", 0]}}, \"d11\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d10\", 0]}}, \"d12\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d11\", 0]}}, \"d13\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d12\", 0]}}, \"d14\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d13\", 0]}}, \"d15\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d14\", 0]}}, \"d16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d15\", 0]}}, \"d17\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d16\", 0]}}, \"d18\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d17\", 0]}}, \"d19\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d18\", 0]}}, \"d20\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d19\", 0]}}, \"d21\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d20\", 0]}}, \"d22\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d21\", 0]}}, \"d23\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d22\", 0]}}, \"d24\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d23\", 0]}}, \"d25\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d24\", 0]}}, \"d26\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d25\", 0]}}, \"d27\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d26\", 0]}}, \"d28\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d27\", 0]}}, \"d29\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d28\", 0]}}, \"d30\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d29\", 0]}}, \"d31\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d30\", 0]}}, \"d32\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d31\", 0]}}, \"d33\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d32\", 0]}}, \"d34\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d33\", 0]}}, \"d35\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d34\", 0]}}, \"d36\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d35\", 0]}}, \"d37\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d36\", 0]}}, \"d38\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d37\", 0]}}, \"d39\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d38\", 0]}}, \"d40\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d39\", 0]}}, \"d41\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d40\", 0]}}, \"d42\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d41\", 0]}}, \"d43\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d42\", 0]}}, \"d44\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d43\", 0]}}, \"d45\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d44\", 0]}}, \"d46\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d45\", 0]}}, \"d47\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d46\", 0]}}, \"d48\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d47\", 0]}}, \"d49\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d48\", 0]}}, \"d50\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d49\", 0]}}, \"d51\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d50\", 0]}}, \"d52\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d51\", 0]}}, \"d53\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d52\", 0]}}, \"d54\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d53\", 0]}}, \"d55\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d54\", 0]}}, \"d56\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d55\", 0]}}, \"d57\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d56\", 0]}}, \"d58\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d57\", 0]}}, \"d59\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d58\", 0]}}, \"d60\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d59\", 0]}}, \"d61\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d60\", 0]}}, \"d62\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d61\", 0]}}, \"d63\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d62\", 0]}}, \"d64\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d63\", 0]}}, \"d65\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d64\", 0]}}, \"d66\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d65\", 0]}}, \"d67\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d66\", 0]}}, \"d68\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d67\", 0]}}, \"d69\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"d68\", 0]}}, \"11\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"d69\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt exceeds inspection limits.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt exceeds inspection limits.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Resolution depth limit reached", "reason_code": "depth-limit", "sampler_id": "s66", "state": "unresolved"}}, "name": "select-detailer-stacked-past-depth", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"s0\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"3\", 0]}}, \"s1\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s0\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s2\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s1\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s3\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s2\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s4\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s3\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s5\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s4\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s6\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s5\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s7\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s6\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s8\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s7\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s9\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s8\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s10\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s9\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s11\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s10\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s12\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s11\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s13\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s12\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s14\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s13\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s15\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s14\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s16\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s15\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s17\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s16\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s18\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s17\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s19\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s18\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s20\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s19\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s21\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s20\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s22\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s21\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s23\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s22\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s24\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s23\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s25\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s24\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s26\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s25\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s27\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s26\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s28\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s27\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s29\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s28\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s30\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s29\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s31\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s30\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s32\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s31\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s33\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s32\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s34\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s33\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s35\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s34\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s36\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s35\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s37\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s36\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s38\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s37\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s39\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s38\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s40\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s39\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s41\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s40\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s42\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s41\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s43\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s42\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s44\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s43\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s45\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s44\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s46\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s45\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s47\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s46\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s48\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s47\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s49\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s48\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s50\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s49\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s51\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s50\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s52\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s51\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s53\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s52\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s54\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s53\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s55\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s54\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s56\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s55\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s57\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s56\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s58\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s57\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s59\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s58\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s60\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s59\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s61\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s60\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s62\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s61\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s63\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s62\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s64\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s63\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s65\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s64\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"s66\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"s65\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"s66\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Cyclic sampler stage ancestry", "reason_code": "malformed", "sampler_id": "21", "state": "unresolved"}}, "name": "select-detailer-mutual-cycle", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a cat\", \"clip\": [\"4\", 1]}}, \"11\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"21\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"21\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"11\", 0], \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"21\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "20", "state": "resolved"}}, "name": "select-hires-fix", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Sampler stages have different prompts", "reason_code": "multistage-differs", "sampler_id": "20", "state": "ambiguous"}}, "name": "select-hires-fix-differs", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"5\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "Every sampler branch uses the same prompt pair", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "select-hires-fix-unlisted", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"MysteryImageEffect\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (TextGenerate).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support (TextGenerate).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "TextGenerate", "id": "6"}, "reason": "Unsupported node semantics or output slot", "reason_code": "unsupported-node", "sampler_id": "20", "state": "unresolved"}}, "name": "select-hires-fix-generated", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"6\", 0], \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"6\": {\"class_type\": \"TextGenerate\", \"inputs\": {\"prompt\": \"write a prompt\", \"model\": [\"1\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "zeroed-conditioning", "status": "resolved", "text": ""}, "positive": {"source": "added-conditioning", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "A later stage adds conditioning to the base prompt", "reason_code": null, "sampler_id": "50", "state": "resolved"}}, "name": "select-flux-three-stage", "records": {"prompt": "{\"1\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"flux\"}}, \"2\": {\"class_type\": \"DualCLIPLoader\", \"inputs\": {\"type\": \"flux\"}}, \"3\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"ae\"}}, \"30\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"32\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"2\", 0]}}, \"33\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"32\", 0]}}, \"34\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"30\", 0]}}, \"35\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"30\", 0], \"conditioning_2\": [\"31\", 0]}}, \"36\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1080, \"height\": 1920, \"batch_size\": 4}}, \"40\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"36\", 0]}}, \"41\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"40\", 0], \"vae\": [\"3\", 0]}}, \"42\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"images\": [\"41\", 0]}}, \"43\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"42\", 0]}}, \"44\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"42\", 0], \"vae\": [\"3\", 0]}}, \"50\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"44\", 0]}}, \"51\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"50\", 0], \"vae\": [\"3\", 0]}}, \"52\": {\"class_type\": \"ImageScaleDownBy\", \"inputs\": {\"scale_by\": 0.75, \"images\": [\"51\", 0]}}, \"53\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"51\", 0]}}, \"54\": {\"class_type\": \"Image Comparer (rgthree)\", \"inputs\": {\"image_a\": [\"51\", 0], \"image_b\": [\"42\", 0]}}, \"60\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"upscale_by\": 2.0, \"seed\": 7, \"steps\": 4, \"denoise\": 0.35, \"image\": [\"52\", 0], \"model\": [\"1\", 0], \"positive\": [\"35\", 0], \"negative\": [\"33\", 0], \"vae\": [\"3\", 0]}}, \"61\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"flux\", \"images\": [\"60\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "zeroed-conditioning", "status": "resolved", "text": ""}, "positive": {"source": "added-conditioning", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "A later stage adds conditioning to the base prompt", "reason_code": null, "sampler_id": "50", "state": "resolved"}}, "name": "select-flux-concat", "records": {"prompt": "{\"1\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"flux\"}}, \"2\": {\"class_type\": \"DualCLIPLoader\", \"inputs\": {\"type\": \"flux\"}}, \"3\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"ae\"}}, \"30\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"32\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"2\", 0]}}, \"33\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"32\", 0]}}, \"34\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"30\", 0]}}, \"35\": {\"class_type\": \"ConditioningConcat\", \"inputs\": {\"conditioning_to\": [\"30\", 0], \"conditioning_from\": [\"31\", 0]}}, \"36\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1080, \"height\": 1920, \"batch_size\": 4}}, \"40\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"36\", 0]}}, \"41\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"40\", 0], \"vae\": [\"3\", 0]}}, \"42\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"images\": [\"41\", 0]}}, \"43\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"42\", 0]}}, \"44\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"42\", 0], \"vae\": [\"3\", 0]}}, \"50\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"44\", 0]}}, \"51\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"50\", 0], \"vae\": [\"3\", 0]}}, \"52\": {\"class_type\": \"ImageScaleDownBy\", \"inputs\": {\"scale_by\": 0.75, \"images\": [\"51\", 0]}}, \"53\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"51\", 0]}}, \"54\": {\"class_type\": \"Image Comparer (rgthree)\", \"inputs\": {\"image_a\": [\"51\", 0], \"image_b\": [\"42\", 0]}}, \"60\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"upscale_by\": 2.0, \"seed\": 7, \"steps\": 4, \"denoise\": 0.35, \"image\": [\"52\", 0], \"model\": [\"1\", 0], \"positive\": [\"35\", 0], \"negative\": [\"33\", 0], \"vae\": [\"3\", 0]}}, \"61\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"flux\", \"images\": [\"60\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningAverage).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (ConditioningAverage).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "ConditioningAverage", "id": "35"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "60", "state": "unresolved"}}, "name": "select-flux-average", "records": {"prompt": "{\"1\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"flux\"}}, \"2\": {\"class_type\": \"DualCLIPLoader\", \"inputs\": {\"type\": \"flux\"}}, \"3\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"ae\"}}, \"30\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"32\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"2\", 0]}}, \"33\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"32\", 0]}}, \"34\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"30\", 0]}}, \"35\": {\"class_type\": \"ConditioningAverage\", \"inputs\": {\"conditioning_to\": [\"30\", 0], \"conditioning_from\": [\"31\", 0]}}, \"36\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1080, \"height\": 1920, \"batch_size\": 4}}, \"40\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"36\", 0]}}, \"41\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"40\", 0], \"vae\": [\"3\", 0]}}, \"42\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"images\": [\"41\", 0]}}, \"43\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"42\", 0]}}, \"44\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"42\", 0], \"vae\": [\"3\", 0]}}, \"50\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"44\", 0]}}, \"51\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"50\", 0], \"vae\": [\"3\", 0]}}, \"52\": {\"class_type\": \"ImageScaleDownBy\", \"inputs\": {\"scale_by\": 0.75, \"images\": [\"51\", 0]}}, \"53\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"51\", 0]}}, \"54\": {\"class_type\": \"Image Comparer (rgthree)\", \"inputs\": {\"image_a\": [\"51\", 0], \"image_b\": [\"42\", 0]}}, \"60\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"upscale_by\": 2.0, \"seed\": 7, \"steps\": 4, \"denoise\": 0.35, \"image\": [\"52\", 0], \"model\": [\"1\", 0], \"positive\": [\"35\", 0], \"negative\": [\"33\", 0], \"vae\": [\"3\", 0]}}, \"61\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"flux\", \"images\": [\"60\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-edit-batch", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"LoadImage\", \"inputs\": {\"image\": \"ref.png\"}}, \"3\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"2\", 0], \"vae\": [\"1\", 2]}}, \"4\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"edit\"}}, \"100\": {\"class_type\": \"TextEncodeQwenImageEdit\", \"inputs\": {\"prompt\": \"edit number 0: change the pose\", \"clip\": [\"1\", 1]}}, \"101\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"100\", 0], \"negative\": [\"100\", 0], \"latent_image\": [\"3\", 0]}}, \"102\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"101\", 0], \"vae\": [\"1\", 2]}}, \"103\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": [\"4\", 0], \"images\": [\"102\", 0]}}, \"110\": {\"class_type\": \"TextEncodeQwenImageEdit\", \"inputs\": {\"prompt\": \"edit number 1: change the pose\", \"clip\": [\"1\", 1]}}, \"111\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"110\", 0], \"negative\": [\"110\", 0], \"latent_image\": [\"3\", 0]}}, \"112\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"111\", 0], \"vae\": [\"1\", 2]}}, \"113\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": [\"4\", 0], \"images\": [\"112\", 0]}}, \"120\": {\"class_type\": \"TextEncodeQwenImageEdit\", \"inputs\": {\"prompt\": \"edit number 2: change the pose\", \"clip\": [\"1\", 1]}}, \"121\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"120\", 0], \"negative\": [\"120\", 0], \"latent_image\": [\"3\", 0]}}, \"122\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"121\", 0], \"vae\": [\"1\", 2]}}, \"123\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": [\"4\", 0], \"images\": [\"122\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "ConditioningCombine", "id": "35"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "60", "state": "unresolved"}}, "name": "select-flux-without-base", "records": {"prompt": "{\"1\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"flux\"}}, \"2\": {\"class_type\": \"DualCLIPLoader\", \"inputs\": {\"type\": \"flux\"}}, \"3\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"ae\"}}, \"30\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"32\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"2\", 0]}}, \"33\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"32\", 0]}}, \"34\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"30\", 0]}}, \"35\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"37\", 0], \"conditioning_2\": [\"31\", 0]}}, \"36\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1080, \"height\": 1920, \"batch_size\": 4}}, \"40\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"36\", 0]}}, \"41\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"40\", 0], \"vae\": [\"3\", 0]}}, \"42\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"images\": [\"41\", 0]}}, \"43\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"42\", 0]}}, \"44\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"42\", 0], \"vae\": [\"3\", 0]}}, \"50\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"44\", 0]}}, \"51\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"50\", 0], \"vae\": [\"3\", 0]}}, \"52\": {\"class_type\": \"ImageScaleDownBy\", \"inputs\": {\"scale_by\": 0.75, \"images\": [\"51\", 0]}}, \"53\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"51\", 0]}}, \"54\": {\"class_type\": \"Image Comparer (rgthree)\", \"inputs\": {\"image_a\": [\"51\", 0], \"image_b\": [\"42\", 0]}}, \"60\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"upscale_by\": 2.0, \"seed\": 7, \"steps\": 4, \"denoise\": 0.35, \"image\": [\"52\", 0], \"model\": [\"1\", 0], \"positive\": [\"35\", 0], \"negative\": [\"33\", 0], \"vae\": [\"3\", 0]}}, \"61\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"flux\", \"images\": [\"60\", 0]}}, \"37\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "ConditioningCombine", "id": "35"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "60", "state": "unresolved"}}, "name": "select-flux-other-negative", "records": {"prompt": "{\"1\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"flux\"}}, \"2\": {\"class_type\": \"DualCLIPLoader\", \"inputs\": {\"type\": \"flux\"}}, \"3\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"ae\"}}, \"30\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"32\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"2\", 0]}}, \"33\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"32\", 0]}}, \"34\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"30\", 0]}}, \"35\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"30\", 0], \"conditioning_2\": [\"31\", 0]}}, \"36\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1080, \"height\": 1920, \"batch_size\": 4}}, \"40\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"36\", 0]}}, \"41\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"40\", 0], \"vae\": [\"3\", 0]}}, \"42\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"images\": [\"41\", 0]}}, \"43\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"42\", 0]}}, \"44\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"42\", 0], \"vae\": [\"3\", 0]}}, \"50\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"44\", 0]}}, \"51\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"50\", 0], \"vae\": [\"3\", 0]}}, \"52\": {\"class_type\": \"ImageScaleDownBy\", \"inputs\": {\"scale_by\": 0.75, \"images\": [\"51\", 0]}}, \"53\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"51\", 0]}}, \"54\": {\"class_type\": \"Image Comparer (rgthree)\", \"inputs\": {\"image_a\": [\"51\", 0], \"image_b\": [\"42\", 0]}}, \"60\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"upscale_by\": 2.0, \"seed\": 7, \"steps\": 4, \"denoise\": 0.35, \"image\": [\"52\", 0], \"model\": [\"1\", 0], \"positive\": [\"35\", 0], \"negative\": [\"38\", 0], \"vae\": [\"3\", 0]}}, \"61\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"flux\", \"images\": [\"60\", 0]}}, \"38\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"watermark\", \"clip\": [\"1\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-hires-fix-cycle", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"20\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"10\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "20", "state": "resolved"}}, "name": "select-hires-fix-reroute", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"18\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"18\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"16\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "Every sampler branch uses the same prompt pair", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "select-hires-fix-both-saved", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"24\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-hires-fix-missing-latent", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"99\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "ConditioningCombine", "id": "35"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "60", "state": "unresolved"}}, "name": "select-flux-negative-unsupported", "records": {"prompt": "{\"1\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"flux\"}}, \"2\": {\"class_type\": \"DualCLIPLoader\", \"inputs\": {\"type\": \"flux\"}}, \"3\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"ae\"}}, \"30\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"32\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"2\", 0]}}, \"33\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"32\", 0]}}, \"34\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"30\", 0]}}, \"35\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"30\", 0], \"conditioning_2\": [\"31\", 0]}}, \"36\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1080, \"height\": 1920, \"batch_size\": 4}}, \"40\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"36\", 0]}}, \"41\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"40\", 0], \"vae\": [\"3\", 0]}}, \"42\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"images\": [\"41\", 0]}}, \"43\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"42\", 0]}}, \"44\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"42\", 0], \"vae\": [\"3\", 0]}}, \"50\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"44\", 0]}}, \"51\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"50\", 0], \"vae\": [\"3\", 0]}}, \"52\": {\"class_type\": \"ImageScaleDownBy\", \"inputs\": {\"scale_by\": 0.75, \"images\": [\"51\", 0]}}, \"53\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"51\", 0]}}, \"54\": {\"class_type\": \"Image Comparer (rgthree)\", \"inputs\": {\"image_a\": [\"51\", 0], \"image_b\": [\"42\", 0]}}, \"60\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"upscale_by\": 2.0, \"seed\": 7, \"steps\": 4, \"denoise\": 0.35, \"image\": [\"52\", 0], \"model\": [\"1\", 0], \"positive\": [\"35\", 0], \"negative\": [\"38\", 0], \"vae\": [\"3\", 0]}}, \"61\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"flux\", \"images\": [\"60\", 0]}}, \"38\": {\"class_type\": \"MysteryNegative\", \"inputs\": {\"seed\": 1}}}"}}, {"evidence": {"prompts": {"negative": {"source": "zeroed-conditioning", "status": "resolved", "text": ""}, "positive": {"source": "added-conditioning", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "A later stage adds conditioning to the base prompt", "reason_code": null, "sampler_id": "50", "state": "resolved"}}, "name": "select-flux-reroute-input", "records": {"prompt": "{\"1\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"flux\"}}, \"2\": {\"class_type\": \"DualCLIPLoader\", \"inputs\": {\"type\": \"flux\"}}, \"3\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"ae\"}}, \"30\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"32\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"2\", 0]}}, \"33\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"32\", 0]}}, \"34\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"30\", 0]}}, \"35\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"30\", 0], \"conditioning_2\": [\"31\", 0]}}, \"36\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1080, \"height\": 1920, \"batch_size\": 4}}, \"40\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"36\", 0]}}, \"41\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"40\", 0], \"vae\": [\"3\", 0]}}, \"42\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"images\": [\"41\", 0]}}, \"43\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"42\", 0]}}, \"44\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"42\", 0], \"vae\": [\"3\", 0]}}, \"50\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"44\", 0]}}, \"51\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"50\", 0], \"vae\": [\"3\", 0]}}, \"52\": {\"class_type\": \"ImageScaleDownBy\", \"inputs\": {\"scale_by\": 0.75, \"images\": [\"51\", 0]}}, \"53\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"51\", 0]}}, \"54\": {\"class_type\": \"Image Comparer (rgthree)\", \"inputs\": {\"image_a\": [\"51\", 0], \"image_b\": [\"42\", 0]}}, \"60\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"upscale_by\": 2.0, \"seed\": 7, \"steps\": 4, \"denoise\": 0.35, \"image\": [\"52\", 0], \"model\": [\"1\", 0], \"positive\": [\"39\", 0], \"negative\": [\"33\", 0], \"vae\": [\"3\", 0]}}, \"61\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"flux\", \"images\": [\"60\", 0]}}, \"39\": {\"class_type\": \"Reroute\", \"inputs\": {\"input\": [\"35\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (CLIPTextEncodeSDXL).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (CLIPTextEncodeSDXL).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "CLIPTextEncodeSDXL", "id": "39"}, "reason": "Encoder parts have different texts", "reason_code": "composite", "sampler_id": "60", "state": "unresolved"}}, "name": "select-flux-encoder-parts", "records": {"prompt": "{\"1\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"flux\"}}, \"2\": {\"class_type\": \"DualCLIPLoader\", \"inputs\": {\"type\": \"flux\"}}, \"3\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"ae\"}}, \"30\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"32\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"2\", 0]}}, \"33\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"32\", 0]}}, \"34\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"30\", 0]}}, \"35\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"30\", 0], \"conditioning_2\": [\"31\", 0]}}, \"36\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1080, \"height\": 1920, \"batch_size\": 4}}, \"40\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"36\", 0]}}, \"41\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"40\", 0], \"vae\": [\"3\", 0]}}, \"42\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"images\": [\"41\", 0]}}, \"43\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"42\", 0]}}, \"44\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"42\", 0], \"vae\": [\"3\", 0]}}, \"50\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"44\", 0]}}, \"51\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"50\", 0], \"vae\": [\"3\", 0]}}, \"52\": {\"class_type\": \"ImageScaleDownBy\", \"inputs\": {\"scale_by\": 0.75, \"images\": [\"51\", 0]}}, \"53\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"51\", 0]}}, \"54\": {\"class_type\": \"Image Comparer (rgthree)\", \"inputs\": {\"image_a\": [\"51\", 0], \"image_b\": [\"42\", 0]}}, \"60\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"upscale_by\": 2.0, \"seed\": 7, \"steps\": 4, \"denoise\": 0.35, \"image\": [\"52\", 0], \"model\": [\"1\", 0], \"positive\": [\"39\", 0], \"negative\": [\"33\", 0], \"vae\": [\"3\", 0]}}, \"61\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"flux\", \"images\": [\"60\", 0]}}, \"39\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"a lighthouse on a cliff, golden hour\", \"text_l\": \"film grain, analog photo\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "Every sampler branch uses the same prompt pair", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "select-edge-hires-fix-two-refiners", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"30\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.4, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"31\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"30\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "Every sampler branch uses the same prompt pair", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "select-edge-hires-fix-denoised-slot", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 1], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-edge-hires-fix-self-latent", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"30\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"32\", 0]}}, \"31\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"30\", 0]}}, \"32\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"31\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "Every sampler branch uses the same prompt pair", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "select-edge-hires-fix-lineage-cycle", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"30\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"32\", 0]}}, \"31\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"32\", 0]}}, \"32\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"31\", 0]}}, \"33\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"30\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "ConditioningCombine", "id": "35"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "60", "state": "unresolved"}}, "name": "select-edge-flux-base-stages-differ", "records": {"prompt": "{\"1\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"flux\"}}, \"2\": {\"class_type\": \"DualCLIPLoader\", \"inputs\": {\"type\": \"flux\"}}, \"3\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"ae\"}}, \"30\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"32\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"2\", 0]}}, \"33\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"32\", 0]}}, \"34\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"30\", 0]}}, \"35\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"30\", 0], \"conditioning_2\": [\"31\", 0]}}, \"36\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1080, \"height\": 1920, \"batch_size\": 4}}, \"40\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"39\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"36\", 0]}}, \"41\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"40\", 0], \"vae\": [\"3\", 0]}}, \"42\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"images\": [\"41\", 0]}}, \"43\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"42\", 0]}}, \"44\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"42\", 0], \"vae\": [\"3\", 0]}}, \"50\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"44\", 0]}}, \"51\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"50\", 0], \"vae\": [\"3\", 0]}}, \"52\": {\"class_type\": \"ImageScaleDownBy\", \"inputs\": {\"scale_by\": 0.75, \"images\": [\"51\", 0]}}, \"53\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"51\", 0]}}, \"54\": {\"class_type\": \"Image Comparer (rgthree)\", \"inputs\": {\"image_a\": [\"51\", 0], \"image_b\": [\"42\", 0]}}, \"60\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"upscale_by\": 2.0, \"seed\": 7, \"steps\": 4, \"denoise\": 0.35, \"image\": [\"52\", 0], \"model\": [\"1\", 0], \"positive\": [\"35\", 0], \"negative\": [\"33\", 0], \"vae\": [\"3\", 0]}}, \"61\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"flux\", \"images\": [\"60\", 0]}}, \"39\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "ConditioningCombine", "id": "35"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "60", "state": "unresolved"}}, "name": "select-edge-flux-no-last-negative", "records": {"prompt": "{\"1\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"flux\"}}, \"2\": {\"class_type\": \"DualCLIPLoader\", \"inputs\": {\"type\": \"flux\"}}, \"3\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"ae\"}}, \"30\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"32\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"2\", 0]}}, \"33\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"32\", 0]}}, \"34\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"30\", 0]}}, \"35\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"30\", 0], \"conditioning_2\": [\"31\", 0]}}, \"36\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1080, \"height\": 1920, \"batch_size\": 4}}, \"40\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"36\", 0]}}, \"41\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"40\", 0], \"vae\": [\"3\", 0]}}, \"42\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"images\": [\"41\", 0]}}, \"43\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"42\", 0]}}, \"44\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"42\", 0], \"vae\": [\"3\", 0]}}, \"50\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"44\", 0]}}, \"51\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"50\", 0], \"vae\": [\"3\", 0]}}, \"52\": {\"class_type\": \"ImageScaleDownBy\", \"inputs\": {\"scale_by\": 0.75, \"images\": [\"51\", 0]}}, \"53\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"51\", 0]}}, \"54\": {\"class_type\": \"Image Comparer (rgthree)\", \"inputs\": {\"image_a\": [\"51\", 0], \"image_b\": [\"42\", 0]}}, \"60\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"upscale_by\": 2.0, \"seed\": 7, \"steps\": 4, \"denoise\": 0.35, \"image\": [\"52\", 0], \"model\": [\"1\", 0], \"positive\": [\"35\", 0], \"vae\": [\"3\", 0]}}, \"61\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"flux\", \"images\": [\"60\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "ConditioningCombine", "id": "35"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "60", "state": "unresolved"}}, "name": "select-edge-flux-unreadable-base", "records": {"prompt": "{\"1\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"flux\"}}, \"2\": {\"class_type\": \"DualCLIPLoader\", \"inputs\": {\"type\": \"flux\"}}, \"3\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"ae\"}}, \"30\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"32\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"2\", 0]}}, \"33\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"32\", 0]}}, \"34\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"30\", 0]}}, \"35\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"30\", 0], \"conditioning_2\": [\"31\", 0]}}, \"36\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1080, \"height\": 1920, \"batch_size\": 4}}, \"40\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"39\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"36\", 0]}}, \"41\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"40\", 0], \"vae\": [\"3\", 0]}}, \"42\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"images\": [\"41\", 0]}}, \"43\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"42\", 0]}}, \"44\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"42\", 0], \"vae\": [\"3\", 0]}}, \"50\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"39\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"44\", 0]}}, \"51\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"50\", 0], \"vae\": [\"3\", 0]}}, \"52\": {\"class_type\": \"ImageScaleDownBy\", \"inputs\": {\"scale_by\": 0.75, \"images\": [\"51\", 0]}}, \"53\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"51\", 0]}}, \"54\": {\"class_type\": \"Image Comparer (rgthree)\", \"inputs\": {\"image_a\": [\"51\", 0], \"image_b\": [\"42\", 0]}}, \"60\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"upscale_by\": 2.0, \"seed\": 7, \"steps\": 4, \"denoise\": 0.35, \"image\": [\"52\", 0], \"model\": [\"1\", 0], \"positive\": [\"35\", 0], \"negative\": [\"33\", 0], \"vae\": [\"3\", 0]}}, \"61\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"flux\", \"images\": [\"60\", 0]}}, \"39\": {\"class_type\": \"MysteryPrompt\", \"inputs\": {\"seed\": 1}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-edge-flux-unsupported-ancestry", "records": {"prompt": "{\"1\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"flux\"}}, \"2\": {\"class_type\": \"DualCLIPLoader\", \"inputs\": {\"type\": \"flux\"}}, \"3\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"ae\"}}, \"30\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"32\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"2\", 0]}}, \"33\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"32\", 0]}}, \"34\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"30\", 0]}}, \"35\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"30\", 0], \"conditioning_2\": [\"31\", 0]}}, \"36\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1080, \"height\": 1920, \"batch_size\": 4}}, \"40\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"36\", 0]}}, \"41\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"40\", 0], \"vae\": [\"3\", 0]}}, \"42\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"images\": [\"41\", 0]}}, \"43\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"42\", 0]}}, \"44\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"42\", 0], \"vae\": [\"3\", 0]}}, \"50\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"44\", 0]}}, \"51\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"50\", 0], \"vae\": [\"3\", 0]}}, \"52\": {\"class_type\": \"ImageScaleDownBy\", \"inputs\": {\"scale_by\": 0.75, \"images\": [\"39\", 0]}}, \"53\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"51\", 0]}}, \"54\": {\"class_type\": \"Image Comparer (rgthree)\", \"inputs\": {\"image_a\": [\"51\", 0], \"image_b\": [\"42\", 0]}}, \"60\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"upscale_by\": 2.0, \"seed\": 7, \"steps\": 4, \"denoise\": 0.35, \"image\": [\"52\", 0], \"model\": [\"1\", 0], \"positive\": [\"35\", 0], \"negative\": [\"33\", 0], \"vae\": [\"3\", 0]}}, \"61\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"flux\", \"images\": [\"60\", 0]}}, \"39\": {\"class_type\": \"MysteryUpscaler\", \"inputs\": {\"image\": [\"51\", 0], \"model\": [\"1\", 0], \"positive\": [\"34\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-edge-flux-custom-advanced-last", "records": {"prompt": "{\"1\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"flux\"}}, \"2\": {\"class_type\": \"DualCLIPLoader\", \"inputs\": {\"type\": \"flux\"}}, \"3\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"ae\"}}, \"30\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"32\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"2\", 0]}}, \"33\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"32\", 0]}}, \"34\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"30\", 0]}}, \"35\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"30\", 0], \"conditioning_2\": [\"31\", 0]}}, \"36\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1080, \"height\": 1920, \"batch_size\": 4}}, \"40\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"36\", 0]}}, \"41\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"40\", 0], \"vae\": [\"3\", 0]}}, \"42\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"images\": [\"41\", 0]}}, \"43\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"42\", 0]}}, \"44\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"42\", 0], \"vae\": [\"3\", 0]}}, \"50\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"44\", 0]}}, \"51\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"50\", 0], \"vae\": [\"3\", 0]}}, \"52\": {\"class_type\": \"ImageScaleDownBy\", \"inputs\": {\"scale_by\": 0.75, \"images\": [\"51\", 0]}}, \"53\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"51\", 0]}}, \"54\": {\"class_type\": \"Image Comparer (rgthree)\", \"inputs\": {\"image_a\": [\"51\", 0], \"image_b\": [\"42\", 0]}}, \"60\": {\"class_type\": \"SamplerCustomAdvanced\", \"inputs\": {\"noise\": [\"62\", 0], \"guider\": [\"63\", 0], \"sampler\": [\"64\", 0], \"sigmas\": [\"65\", 0], \"latent_image\": [\"66\", 0]}}, \"61\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"flux\", \"images\": [\"67\", 0]}}, \"62\": {\"class_type\": \"RandomNoise\", \"inputs\": {\"noise_seed\": 1}}, \"63\": {\"class_type\": \"CFGGuider\", \"inputs\": {\"model\": [\"1\", 0], \"positive\": [\"35\", 0], \"negative\": [\"33\", 0]}}, \"64\": {\"class_type\": \"KSamplerSelect\", \"inputs\": {\"sampler_name\": \"euler\"}}, \"65\": {\"class_type\": \"BasicScheduler\", \"inputs\": {\"steps\": 4}}, \"66\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"52\", 0]}}, \"67\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"60\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "runtime-parts-omitted", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "Text added at run time, such as trigger words, is not included", "reason_code": null, "sampler_id": "20", "state": "resolved"}}, "name": "select-runtime-trigger-prepend", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": [\"8\", 0], \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"7\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"model\": [\"1\", 0], \"clip\": [\"1\", 1], \"text\": \"\"}}, \"8\": {\"class_type\": \"TriggerWord Toggle (LoraManager)\", \"inputs\": {\"group_mode\": true, \"default_active\": true, \"toggle_trigger_words\": {\"__value__\": [{\"text\": \"trig9word\", \"active\": true}]}, \"orinalMessage\": \"trig9word\", \"trigger_words\": [\"7\", 2]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "runtime-parts-omitted", "status": "resolved", "text": "masterpiece a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "Every sampler branch uses the same prompt pair", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "select-runtime-trigger-append-single", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"masterpiece\", \"append_text\": [\"8\", 0], \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"7\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"model\": [\"1\", 0], \"clip\": [\"1\", 1], \"text\": \"\"}}, \"8\": {\"class_type\": \"TriggerWord Toggle (LoraManager)\", \"inputs\": {\"group_mode\": true, \"default_active\": true, \"toggle_trigger_words\": {\"__value__\": [{\"text\": \"trig9word\", \"active\": true}]}, \"orinalMessage\": \"trig9word\", \"trigger_words\": [\"7\", 2]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "trig9word a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "20", "state": "resolved"}}, "name": "select-runtime-traced-prepend", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": [\"8\", 0], \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"7\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"model\": [\"1\", 0], \"clip\": [\"1\", 1], \"text\": \"\"}}, \"8\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"trig9word\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (MysteryWords).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support (MysteryWords).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "MysteryWords", "id": "8"}, "reason": "Unsupported node semantics or output slot", "reason_code": "unsupported-node", "sampler_id": "20", "state": "unresolved"}}, "name": "select-runtime-unknown-prepend", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": [\"8\", 0], \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"7\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"model\": [\"1\", 0], \"clip\": [\"1\", 1], \"text\": \"\"}}, \"8\": {\"class_type\": \"MysteryWords\", \"inputs\": {\"group_mode\": true, \"default_active\": true, \"toggle_trigger_words\": {\"__value__\": [{\"text\": \"trig9word\", \"active\": true}]}, \"orinalMessage\": \"trig9word\", \"trigger_words\": [\"7\", 2]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (TriggerWord Toggle (LoraManager)).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt is chosen at run time (TriggerWord Toggle (LoraManager)).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "TriggerWord Toggle (LoraManager)", "id": "8"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "20", "state": "unresolved"}}, "name": "select-runtime-indirect-prepend", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": [\"9\", 0], \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"7\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"model\": [\"1\", 0], \"clip\": [\"1\", 1], \"text\": \"\"}}, \"8\": {\"class_type\": \"TriggerWord Toggle (LoraManager)\", \"inputs\": {\"group_mode\": true, \"default_active\": true, \"toggle_trigger_words\": {\"__value__\": [{\"text\": \"trig9word\", \"active\": true}]}, \"orinalMessage\": \"trig9word\", \"trigger_words\": [\"7\", 2]}}, \"9\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \"kept\", \"string_b\": [\"8\", 0], \"delimiter\": \"\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (TriggerWord Toggle (LoraManager)).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt is chosen at run time (TriggerWord Toggle (LoraManager)).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "TriggerWord Toggle (LoraManager)", "id": "8"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "20", "state": "unresolved"}}, "name": "select-runtime-runtime-main-text", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": [\"8\", 0], \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"7\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"model\": [\"1\", 0], \"clip\": [\"1\", 1], \"text\": \"\"}}, \"8\": {\"class_type\": \"TriggerWord Toggle (LoraManager)\", \"inputs\": {\"group_mode\": true, \"default_active\": true, \"toggle_trigger_words\": {\"__value__\": [{\"text\": \"trig9word\", \"active\": true}]}, \"orinalMessage\": \"trig9word\", \"trigger_words\": [\"7\", 2]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "runtime-parts-omitted", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "Text added at run time, such as trigger words, is not included", "reason_code": null, "sampler_id": "20", "state": "resolved"}}, "name": "select-runtime-trigger-pair", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": [\"8\", 0], \"append_text\": \"\", \"clip\": [\"1\", 1], \"negative_text\": \"blurry, lowres\"}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"2\", 1], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"2\", 1], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"7\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"model\": [\"1\", 0], \"clip\": [\"1\", 1], \"text\": \"\"}}, \"8\": {\"class_type\": \"TriggerWord Toggle (LoraManager)\", \"inputs\": {\"group_mode\": true, \"default_active\": true, \"toggle_trigger_words\": {\"__value__\": [{\"text\": \"trig9word\", \"active\": true}]}, \"orinalMessage\": \"trig9word\", \"trigger_words\": [\"7\", 2]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "runtime-parts-omitted", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "Text added at run time, such as trigger words, is not included", "reason_code": null, "sampler_id": "20", "state": "resolved"}}, "name": "select-runtime-search-list-append", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": [\"8\", 0], \"append_text\": [\"30\", 0], \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"7\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"model\": [\"1\", 0], \"clip\": [\"1\", 1], \"text\": \"\"}}, \"8\": {\"class_type\": \"TriggerWord Toggle (LoraManager)\", \"inputs\": {\"group_mode\": true, \"default_active\": true, \"toggle_trigger_words\": {\"__value__\": [{\"text\": \"trig9word\", \"active\": true}]}, \"orinalMessage\": \"trig9word\", \"trigger_words\": [\"7\", 2]}}, \"30\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"search\": \"x\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "runtime-parts-omitted", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "Text added at run time, such as trigger words, is not included", "reason_code": null, "sampler_id": "20", "state": "resolved"}}, "name": "select-runtime-through-text-encode", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"9\", 0]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"7\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"model\": [\"1\", 0], \"clip\": [\"1\", 1], \"text\": \"\"}}, \"8\": {\"class_type\": \"TriggerWord Toggle (LoraManager)\", \"inputs\": {\"group_mode\": true, \"default_active\": true, \"toggle_trigger_words\": {\"__value__\": [{\"text\": \"trig9word\", \"active\": true}]}, \"orinalMessage\": \"trig9word\", \"trigger_words\": [\"7\", 2]}}, \"9\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": [\"8\", 0], \"append_text\": \"\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "runtime-parts-omitted", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "Text added at run time, such as trigger words, is not included", "reason_code": null, "sampler_id": "20", "state": "resolved"}}, "name": "select-runtime-through-chained", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": [\"9\", 0], \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"7\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"model\": [\"1\", 0], \"clip\": [\"1\", 1], \"text\": \"\"}}, \"8\": {\"class_type\": \"TriggerWord Toggle (LoraManager)\", \"inputs\": {\"group_mode\": true, \"default_active\": true, \"toggle_trigger_words\": {\"__value__\": [{\"text\": \"trig9word\", \"active\": true}]}, \"orinalMessage\": \"trig9word\", \"trigger_words\": [\"7\", 2]}}, \"9\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": [\"8\", 0], \"append_text\": \"\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "runtime-parts-omitted", "status": "resolved", "text": "a lighthouse on a cliff, golden hour, extra"}}, "resolution": {"node": null, "reason": "Text added at run time, such as trigger words, is not included", "reason_code": null, "sampler_id": "20", "state": "resolved"}}, "name": "select-runtime-through-concat", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"19\", 0]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"7\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"model\": [\"1\", 0], \"clip\": [\"1\", 1], \"text\": \"\"}}, \"8\": {\"class_type\": \"TriggerWord Toggle (LoraManager)\", \"inputs\": {\"group_mode\": true, \"default_active\": true, \"toggle_trigger_words\": {\"__value__\": [{\"text\": \"trig9word\", \"active\": true}]}, \"orinalMessage\": \"trig9word\", \"trigger_words\": [\"7\", 2]}}, \"9\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": [\"8\", 0], \"append_text\": \"\"}}, \"19\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": [\"9\", 0], \"string_b\": \"extra\", \"delimiter\": \", \"}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-runtime-branches-with-and-without", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": [\"8\", 0], \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"9\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"7\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"model\": [\"1\", 0], \"clip\": [\"1\", 1], \"text\": \"\"}}, \"8\": {\"class_type\": \"TriggerWord Toggle (LoraManager)\", \"inputs\": {\"group_mode\": true, \"default_active\": true, \"toggle_trigger_words\": {\"__value__\": [{\"text\": \"trig9word\", \"active\": true}]}, \"orinalMessage\": \"trig9word\", \"trigger_words\": [\"7\", 2]}}, \"9\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Sampler stages have different prompts", "reason_code": "multistage-differs", "sampler_id": "20", "state": "ambiguous"}}, "name": "select-runtime-stage-with-and-without", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": [\"8\", 0], \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"9\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"7\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"model\": [\"1\", 0], \"clip\": [\"1\", 1], \"text\": \"\"}}, \"8\": {\"class_type\": \"TriggerWord Toggle (LoraManager)\", \"inputs\": {\"group_mode\": true, \"default_active\": true, \"toggle_trigger_words\": {\"__value__\": [{\"text\": \"trig9word\", \"active\": true}]}, \"orinalMessage\": \"trig9word\", \"trigger_words\": [\"7\", 2]}}, \"9\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (JoinStringMulti).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt is chosen at run time (JoinStringMulti).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "JoinStringMulti", "id": "9"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "20", "state": "unresolved"}}, "name": "select-runtime-join-multi-flag", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": [\"9\", 0], \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1024, \"height\": 512, \"batch_size\": 4}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"10\", 0], \"vae\": [\"1\", 2]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"ontimeout\": \"send none\", \"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"x4\"}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"upscale_model\": [\"13\", 0], \"image\": [\"12\", 0]}}, \"15\": {\"class_type\": \"ResolutionCalculator\", \"inputs\": {\"scale_factor\": 1.5, \"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"upscale_method\": \"nearest-exact\", \"width\": [\"15\", 0], \"height\": [\"15\", 1], \"crop\": \"disabled\", \"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"16\", 0], \"vae\": [\"1\", 2]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"21\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"tile_size\": 512, \"samples\": [\"20\", 0], \"vae\": [\"1\", 2]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"hires\", \"images\": [\"21\", 0]}}, \"23\": {\"class_type\": \"PlaySound|pysssss\", \"inputs\": {\"any\": [\"21\", 0]}}, \"9\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"inputcount\": 2, \"delimiter\": \" \", \"return_list\": [\"98\", 0], \"string_1\": \"static words\", \"string_2\": \"more\"}}, \"98\": {\"class_type\": \"PrimitiveBoolean\", \"inputs\": {\"value\": false}}}"}}, {"evidence": {"prompts": {"negative": {"source": "zeroed-conditioning", "status": "resolved", "text": ""}, "positive": {"source": "added-conditioning", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "A later stage adds conditioning to the base prompt", "reason_code": null, "sampler_id": "50", "state": "resolved"}}, "name": "select-runtime-flux-other-full-prompt", "records": {"prompt": "{\"1\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"flux\"}}, \"2\": {\"class_type\": \"DualCLIPLoader\", \"inputs\": {\"type\": \"flux\"}}, \"3\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"ae\"}}, \"30\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"32\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"2\", 0]}}, \"33\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"32\", 0]}}, \"34\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"30\", 0]}}, \"35\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"30\", 0], \"conditioning_2\": [\"31\", 0]}}, \"36\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1080, \"height\": 1920, \"batch_size\": 4}}, \"40\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"36\", 0]}}, \"41\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"40\", 0], \"vae\": [\"3\", 0]}}, \"42\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"images\": [\"41\", 0]}}, \"43\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"42\", 0]}}, \"44\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"42\", 0], \"vae\": [\"3\", 0]}}, \"50\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"44\", 0]}}, \"51\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"50\", 0], \"vae\": [\"3\", 0]}}, \"52\": {\"class_type\": \"ImageScaleDownBy\", \"inputs\": {\"scale_by\": 0.75, \"images\": [\"51\", 0]}}, \"53\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"51\", 0]}}, \"54\": {\"class_type\": \"Image Comparer (rgthree)\", \"inputs\": {\"image_a\": [\"51\", 0], \"image_b\": [\"42\", 0]}}, \"60\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"upscale_by\": 2.0, \"seed\": 7, \"steps\": 4, \"denoise\": 0.35, \"image\": [\"52\", 0], \"model\": [\"1\", 0], \"positive\": [\"35\", 0], \"negative\": [\"33\", 0], \"vae\": [\"3\", 0]}}, \"61\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"flux\", \"images\": [\"60\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "zeroed-conditioning", "status": "resolved", "text": ""}, "positive": {"source": "runtime-parts-omitted-and-added-conditioning", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "A later stage adds conditioning to the base prompt", "reason_code": null, "sampler_id": "50", "state": "resolved"}}, "name": "select-runtime-flux-trigger", "records": {"prompt": "{\"1\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"flux\"}}, \"2\": {\"class_type\": \"DualCLIPLoader\", \"inputs\": {\"type\": \"flux\"}}, \"3\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"ae\"}}, \"30\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": [\"8\", 0], \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"32\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"2\", 0]}}, \"33\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"32\", 0]}}, \"34\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"30\", 0]}}, \"35\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"30\", 0], \"conditioning_2\": [\"31\", 0]}}, \"36\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1080, \"height\": 1920, \"batch_size\": 4}}, \"40\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"36\", 0]}}, \"41\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"40\", 0], \"vae\": [\"3\", 0]}}, \"42\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"images\": [\"41\", 0]}}, \"43\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"42\", 0]}}, \"44\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"42\", 0], \"vae\": [\"3\", 0]}}, \"50\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"44\", 0]}}, \"51\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"50\", 0], \"vae\": [\"3\", 0]}}, \"52\": {\"class_type\": \"ImageScaleDownBy\", \"inputs\": {\"scale_by\": 0.75, \"images\": [\"51\", 0]}}, \"53\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"51\", 0]}}, \"54\": {\"class_type\": \"Image Comparer (rgthree)\", \"inputs\": {\"image_a\": [\"51\", 0], \"image_b\": [\"42\", 0]}}, \"60\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"upscale_by\": 2.0, \"seed\": 7, \"steps\": 4, \"denoise\": 0.35, \"image\": [\"52\", 0], \"model\": [\"1\", 0], \"positive\": [\"35\", 0], \"negative\": [\"33\", 0], \"vae\": [\"3\", 0]}}, \"61\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"flux\", \"images\": [\"60\", 0]}}, \"7\": {\"class_type\": \"Lora Loader (LoraManager)\", \"inputs\": {\"model\": [\"1\", 0], \"clip\": [\"2\", 0], \"text\": \"x\"}}, \"8\": {\"class_type\": \"TriggerWord Toggle (LoraManager)\", \"inputs\": {\"group_mode\": true, \"default_active\": true, \"toggle_trigger_words\": {\"__value__\": [{\"text\": \"trig9word\", \"active\": true}]}, \"orinalMessage\": \"trig9word\", \"trigger_words\": [\"7\", 2]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-runtime-flux-custom-advanced-chained", "records": {"prompt": "{\"1\": {\"class_type\": \"UNETLoader\", \"inputs\": {\"unet_name\": \"flux\"}}, \"2\": {\"class_type\": \"DualCLIPLoader\", \"inputs\": {\"type\": \"flux\"}}, \"3\": {\"class_type\": \"VAELoader\", \"inputs\": {\"vae_name\": \"ae\"}}, \"30\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"31\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"32\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"2\", 0]}}, \"33\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"32\", 0]}}, \"34\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"30\", 0]}}, \"35\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"30\", 0], \"conditioning_2\": [\"31\", 0]}}, \"36\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"width\": 1080, \"height\": 1920, \"batch_size\": 4}}, \"40\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"36\", 0]}}, \"41\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"40\", 0], \"vae\": [\"3\", 0]}}, \"42\": {\"class_type\": \"Image Filter\", \"inputs\": {\"timeout\": 600, \"images\": [\"41\", 0]}}, \"43\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"42\", 0]}}, \"44\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"42\", 0], \"vae\": [\"3\", 0]}}, \"50\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 0.25, \"model\": [\"1\", 0], \"positive\": [\"34\", 0], \"negative\": [\"33\", 0], \"latent_image\": [\"44\", 0]}}, \"51\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"50\", 0], \"vae\": [\"3\", 0]}}, \"52\": {\"class_type\": \"ImageScaleDownBy\", \"inputs\": {\"scale_by\": 0.75, \"images\": [\"51\", 0]}}, \"53\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"51\", 0]}}, \"54\": {\"class_type\": \"Image Comparer (rgthree)\", \"inputs\": {\"image_a\": [\"51\", 0], \"image_b\": [\"42\", 0]}}, \"60\": {\"class_type\": \"SamplerCustomAdvanced\", \"inputs\": {\"guider\": [\"63\", 0], \"latent_image\": [\"66\", 0]}}, \"61\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"flux\", \"images\": [\"67\", 0]}}, \"63\": {\"class_type\": \"CFGGuider\", \"inputs\": {\"positive\": [\"35\", 0], \"negative\": [\"33\", 0]}}, \"66\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"51\", 0]}}, \"67\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"60\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "embedded-parameters", "status": "resolved", "text": "blur"}, "positive": {"source": "embedded-parameters", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "parameters-basic", "records": {"parameters": "a fox\nNegative prompt: blur\nSteps: 20, Sampler: euler, CFG scale: 7"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "absent", "text": null}, "positive": {"source": "embedded-parameters", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "Negative prompt delimiter is absent", "reason_code": null, "sampler_id": null, "state": "absent"}}, "name": "parameters-no-negative", "records": {"parameters": "a fox\nSteps: 20, Sampler: euler, CFG scale: 7"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple negative prompt delimiters", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "parameters-two-delimiters", "records": {"parameters": "a\nNegative prompt: b\nNegative prompt: c\nSteps: 20, Sampler: euler, CFG scale: 7"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": null, "state": "unresolved"}}, "name": "parameters-leading-delimiter", "records": {"parameters": "Negative prompt: blur\nSteps: 20, Sampler: euler, CFG scale: 7"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": null, "state": "unresolved"}}, "name": "parameters-blank-positive", "records": {"parameters": " …\nNegative prompt: blur\nSteps: 20, Sampler: euler, CFG scale: 7"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "parameters-footer-not-last", "records": {"parameters": "a fox\nSteps: 20, Sampler: euler, CFG scale: 7\nmore text"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "parameters-two-footers", "records": {"parameters": "a\nSteps: 20, Sampler: euler, CFG scale: 7\nSteps: 20, Sampler: euler, CFG scale: 7"}}, {"evidence": {"prompts": {"negative": {"source": "embedded-parameters", "status": "resolved", "text": "blur"}, "positive": {"source": "embedded-parameters", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "parameters-bare-footer", "records": {"parameters": "a fox\nNegative prompt: blur\nSteps: 20"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "absent", "text": null}, "positive": {"source": "embedded-parameters", "status": "resolved", "text": "a fox\nSteps: 5"}}, "resolution": {"node": null, "reason": "Negative prompt delimiter is absent", "reason_code": null, "sampler_id": null, "state": "absent"}}, "name": "parameters-bare-and-full", "records": {"parameters": "a fox\nSteps: 5\nSteps: 20, Sampler: euler, CFG scale: 7"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "parameters-two-bare", "records": {"parameters": "a\nSteps: 1\nSteps: 2"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "absent", "text": null}, "positive": {"source": "embedded-parameters", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "Negative prompt delimiter is absent", "reason_code": null, "sampler_id": null, "state": "absent"}}, "name": "parameters-template", "records": {"parameters": "a fox\nSteps: 20, Sampler: euler, CFG scale: 7\nTemplate: {a|b}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "absent", "text": null}, "positive": {"source": "embedded-parameters", "status": "resolved", "text": "a"}}, "resolution": {"node": null, "reason": "Negative prompt delimiter is absent", "reason_code": null, "sampler_id": null, "state": "absent"}}, "name": "parameters-both-templates", "records": {"parameters": "a\nSteps: 20, Sampler: euler, CFG scale: 7\nTemplate: x\nNegative Template: y"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "parameters-templates-reversed", "records": {"parameters": "a\nSteps: 20, Sampler: euler, CFG scale: 7\nNegative Template: y\nTemplate: x"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "parameters-two-templates", "records": {"parameters": "a\nSteps: 20, Sampler: euler, CFG scale: 7\nTemplate: x\nTemplate: y"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "parameters-template-multiline", "records": {"parameters": "a\nSteps: 20, Sampler: euler, CFG scale: 7\nTemplate: x\nmore"}}, {"evidence": {"prompts": {"negative": {"source": "embedded-parameters", "status": "resolved", "text": "blur"}, "positive": {"source": "embedded-parameters", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "parameters-crlf", "records": {"parameters": "a fox\r\nNegative prompt: blur\r\nSteps: 20, Sampler: euler, CFG scale: 7\r\n"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "parameters-cr-only", "records": {"parameters": "a fox\rNegative prompt: blur\rSteps: 20, Sampler: euler, CFG scale: 7"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "absent", "text": null}, "positive": {"source": "embedded-parameters", "status": "resolved", "text": "a"}}, "resolution": {"node": null, "reason": "Negative prompt delimiter is absent", "reason_code": null, "sampler_id": null, "state": "absent"}}, "name": "parameters-cr-template", "records": {"parameters": "a\nSteps: 20, Sampler: euler, CFG scale: 7\rTemplate: x"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "parameters-line-separator", "records": {"parameters": "a fox
Steps: 20, Sampler: euler, CFG scale: 7"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "parameters-next-line", "records": {"parameters": "a fox…Steps: 20, Sampler: euler, CFG scale: 7"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "absent", "text": null}, "positive": {"source": "embedded-parameters", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "Negative prompt delimiter is absent", "reason_code": null, "sampler_id": null, "state": "absent"}}, "name": "parameters-spaced-steps", "records": {"parameters": "a fox\nSteps:\n 20 \n, x"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "absent", "text": null}, "positive": {"source": "embedded-parameters", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "Negative prompt delimiter is absent", "reason_code": null, "sampler_id": null, "state": "absent"}}, "name": "parameters-steps-newline-bare", "records": {"parameters": "a fox\nSteps:\n20\n"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "absent", "text": null}, "positive": {"source": "embedded-parameters", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "Negative prompt delimiter is absent", "reason_code": null, "sampler_id": null, "state": "absent"}}, "name": "parameters-arabic-digits", "records": {"parameters": "a fox\nSteps: ٢٠, Sampler: euler"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "absent", "text": null}, "positive": {"source": "embedded-parameters", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "Negative prompt delimiter is absent", "reason_code": null, "sampler_id": null, "state": "absent"}}, "name": "parameters-fullwidth-digits", "records": {"parameters": "a fox\nSteps: 2, x"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "parameters-no-digits", "records": {"parameters": "a fox\nSteps: , x"}}, {"evidence": {"prompts": {"negative": {"source": "embedded-parameters", "status": "resolved", "text": "blur"}, "positive": {"source": "embedded-parameters", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "parameters-trailing-spaces", "records": {"parameters": "a fox \nNegative prompt: blur \nSteps: 20, Sampler: euler, CFG scale: 7 \n \n"}}, {"evidence": {"prompts": {"negative": {"source": "embedded-parameters", "status": "resolved", "text": ""}, "positive": {"source": "embedded-parameters", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "parameters-empty-negative", "records": {"parameters": "a fox\nNegative prompt:\nSteps: 20, Sampler: euler, CFG scale: 7"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "absent", "text": null}, "positive": {"source": null, "status": "absent", "text": null}}, "resolution": {"node": null, "reason": "No A1111 parameters", "reason_code": null, "sampler_id": null, "state": "absent"}}, "name": "parameters-empty", "records": {"parameters": ""}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": null, "state": "unresolved"}}, "name": "parameters-only-footer", "records": {"parameters": "Steps: 20, Sampler: euler, CFG scale: 7"}}, {"evidence": {"prompts": {"negative": {"source": "embedded-parameters", "status": "resolved", "text": "blur"}, "positive": {"source": "embedded-parameters", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "parameters-with-execution", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {}}", "parameters": "a fox\nNegative prompt: blur\nSteps: 20, Sampler: euler, CFG scale: 7"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "
   café\u001csnow"}}, "resolution": {"node": {"class_type": "ConditioningCombine", "id": "102"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-0", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"103\": {\"records\": [{\"text\": \"\\u001csnow \", \"negative_text\": \"\\u0085\\u2028 detailed fur\", \"prepend_text\": \"\\u732b\", \"append_text\": \"\\ud83d\\ude00\", \"positive_text\": \"snow\\u3000\", \"negative_effective_text\": \"\\u0085\\u2028 detailed fur\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": \"
  \", \"prepend_text\": \"\\u001c…\", \"append_text\": \"\\ncafé\\u001csnow\", \"clip\": [\"4\", 1]}}, \"103\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u001csnow \", \"negative_text\": \"…
 detailed fur\", \"prepend_text\": \"…猫
 \", \"append_text\": \"
 😀\"}}, \"105\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \"…snow\\n\", \"prepend_text\": \"\\n猫\\t\", \"negative_text\": \"snow \"}}, \"104\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"105\", 0]}}, \"102\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"103\", 0], \"conditioning_2\": [\"104\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "zeroed-conditioning", "status": "resolved", "text": ""}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "猫, snow"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "fuzz-0-1", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": \"\\u001csnow
 \", \"prepend_text\": \"
 猫
 \", \"negative_text\": \"snow \"}}, \"105\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u001c café\", \"clip\": [\"4\", 1]}}, \"104\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"105\", 0]}}, \"103\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"104\", 0]}}, \"102\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"103\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Expected a typed graph link or text input", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-2", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"106\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"105\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \" a, \"}}, \"104\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"105\", 0]}}, \"103\": {\"class_type\": \"TextInput\", \"inputs\": {\"text\": [\"104\", 0]}}, \"102\": {\"class_type\": \"TextInput\", \"inputs\": {\"string\": [\"103\", 0]}}, \"101\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"102\", 0], \"text_l\": \"\"}}, \"108\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\t猫\", \"clip\": [\"4\", 1]}}, \"109\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"snow\\n\"}}, \"107\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 1], \"on_true\": [\"108\", 0], \"on_false\": [\"109\", 0]}}, \"111\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"…snow\", \"text_l\": \"…snow\"}}, \"110\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"111\", 0]}}, \"106\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": false, \"on_true\": [\"107\", 0], \"on_false\": [\"110\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "café, 😀"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "café, snow\u001c \tfox
  猫"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "fuzz-0-3", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"105\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \"\\nsnow\\u001c\", \"string_b\": \"\\tfox\\u2028 \", \"delimiter\": \" \"}}, \"103\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": [\"104\", 0], \"string_b\": \"\\u3000\\u732b\\u001c\", \"delimiter\": \" \"}}, \"102\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": [\"103\", 0]}}, \"101\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": [\"102\", 0], \"prepend_text\": \"\\ufeffcaf\\u00e9\\n\", \"negative_text\": \"caf\\u00e9\\t\"}}, \"106\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": \"\\u3000\\ud83d\\ude00\\u0085\", \"prepend_text\": \"\\u001ccaf\\u00e9\\u2028 \", \"negative_text\": \"\\ufeffsnow\\u0085\"}}, \"105\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"106\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Missing or malformed graph node", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-4", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"107\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"StringConcatenate\"}, \"105\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_a\": \"\\t\\u2028 \", \"text_b\": \"\\u2028 fox\", \"clean_whitespace\": \"false\"}}, \"106\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": \"\\nsnow\\t\"}}, \"103\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_c\": [\"104\", 0], \"text_b\": [\"105\", 0], \"text_d\": [\"106\", 0], \"clean_whitespace\": \"false\"}}, \"102\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"103\", 0]}}, \"101\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": [\"102\", 0], \"prepend_text\": \"\\u3000a,fox\", \"negative_text\": \"\\u2028 snow\\n\\u732b\"}}, \"110\": {\"class_type\": \"StringConstant\", \"inputs\": {\"string\": \"\\u001c \"}}, \"109\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"110\", 0], \"text_l\": [\"110\", 0]}}, \"108\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"109\", 0]}}, \"111\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \" caf\\u00e9\\u001c\"}}, \"107\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"108\", 0], \"conditioning_2\": [\"111\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Selector branches have different prompts", "reason_code": null, "sampler_id": "3", "state": "ambiguous"}}, "name": "fuzz-0-5", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"112\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"\\ufeffdetailed fur\\u0085\", \"prepend_text\": \"\\t\\u732b\\u3000\", \"append_text\": \"caf\\u00e9\\ta,\"}}, \"103\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"104\", 0], \"clip\": [\"4\", 1]}}, \"102\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"103\", 0]}}, \"107\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u001ccaf\\u00e9\\t\", \"clip\": [\"4\", 1]}}, \"109\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u0085detailed fur\\u2028 snow\", \"clip\": [\"4\", 1]}}, \"108\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"109\", -1], \"conditioning_2\": [\"109\", -1]}}, \"106\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": true, \"on_true\": [\"107\", 0], \"on_false\": [\"108\", 0]}}, \"111\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u001ccaf\\u00e9\\u2028 \", \"clip\": [\"4\", 1]}}, \"110\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"111\", 0]}}, \"105\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": true, \"on_true\": [\"106\", 0], \"on_false\": [\"110\", 0]}}, \"101\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 0], \"on_true\": [\"102\", 0], \"on_false\": [\"105\", 0]}}, \"113\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"\\ufeff\\u0085\", \"prepend_text\": \"\\u0085snow\\ufeff\", \"append_text\": \"\\u3000fox\\u001c\", \"clip\": [\"4\", 1]}}, \"114\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\tdetailed fur snow\"}}, \"112\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 0], \"on_true\": [\"113\", 0], \"on_false\": [\"114\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "a, 猫\t"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "…猫\u001c"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "fuzz-0-6", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 1], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\ufeff\\n\", \"negative_text\": \"\\u0085\\u732b\\u001c\", \"prepend_text\": \"\\tdetailed fur\\n\", \"append_text\": \" fox\\u2028 \"}}, \"102\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": \"\\u732b\\t\", \"prepend_text\": \"\\u3000a,\\u2028 \", \"append_text\": \" \\t\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "😀"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "\n猫"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "fuzz-0-7", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 1], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"…\", \"negative_text\": \"\\n猫\", \"prepend_text\": \"…a,\", \"append_text\": \"\\u001ccafé \"}}, \"103\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"😀\"}}, \"102\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"103\", 0], \"text_l\": [\"103\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (PromptSearchList).", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "…detailed fur
 "}}, "resolution": {"node": {"class_type": "PromptSearchList", "id": "102"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-8", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"…detailed fur
 \"}}, \"102\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \" 猫\\u001c\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "fox, snow  detailed fur café"}}, "resolution": {"node": null, "reason": "Missing or malformed graph node", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-9", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"105\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"…snow\", \"string_3\": \" detailed fur café\", \"inputcount\": 3, \"delimiter\": \" \", \"return_list\": false}}, \"103\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": [\"104\", 0]}}, \"102\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": [\"103\", 0], \"strip_newlines\": false}}, \"101\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": [\"102\", 0], \"prepend_text\": \"fox\", \"negative_text\": \"snow\\t\"}}, \"106\": {\"class_type\": \"TextInput\"}, \"105\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"106\", 0], \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "\ndetailed furfox"}}, "resolution": {"node": null, "reason": "Expected a typed graph link or text input", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-10", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"\\ndetailed fur\\ufefffox\"}}, \"105\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"detailed fur\\ufeff\", \"strip_newlines\": true}}, \"104\": {\"class_type\": \"TextInput\", \"inputs\": {\"string\": [\"105\", 0]}}, \"107\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": \"\\u001cfox\\u2028 \"}}, \"108\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\nsnow\\u2028 \", \"strip_newlines\": false}}, \"106\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": [\"107\", 0], \"string_b\": [\"108\", 0], \"delimiter\": \" \"}}, \"103\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": [\"104\", 0], \"string_2\": [\"106\", 0], \"inputcount\": 2, \"delimiter\": \",\", \"return_list\": false}}, \"102\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": [\"103\", 0], \"prepend_text\": \"\\tdetailed fur\\u3000\", \"negative_text\": \" detailed fur caf\\u00e9\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Cyclic prompt graph", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-11", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \"\\u0085snow \", \"string_b\": \"a,\\u0085\\u732b\", \"delimiter\": \", \"}}, \"103\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"104\", 0]}}, \"102\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": [\"102\", 0]}}, \"101\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": [\"102\", 0], \"prepend_text\": \" caf\\u00e9\\nsnow\", \"negative_text\": \"\\ud83d\\ude00\\u0085\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Missing or malformed graph node", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-12", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"105\": {\"class_type\": \"PrimitiveString\"}, \"104\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"105\", 0]}}, \"103\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"104\", 0], \"clip\": [\"4\", 1]}}, \"102\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"103\", 0]}}, \"101\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"102\", 0], \"conditioning_2\": [\"102\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Missing or malformed graph node", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-13", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"107\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\"}, \"105\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\ncaf\\u00e9\\u001c\", \"clip\": [\"4\", 1]}}, \"106\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"caf\\u00e9\", \"clip\": [\"4\", 1]}}, \"104\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": false, \"on_true\": [\"105\", 0], \"on_false\": [\"106\", 0]}}, \"103\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"104\", 0]}}, \"102\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"103\", 0]}}, \"101\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"102\", 0]}}, \"110\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \"\\tsnow\\u001ccaf\\u00e9\", \"string_b\": \"\\ufeffdetailed fur\\t\", \"delimiter\": \", \"}}, \"109\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_d\": \"\\ufeffa,\\u2028 detailed fur\", \"text_b\": \"\\u0085\\n\", \"text_c\": [\"110\", 0], \"clean_whitespace\": \"true\"}}, \"108\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"109\", 0], \"prepend_text\": \"\\n\\u0085\", \"append_text\": \"\\ta,\\ufeff\", \"clip\": [\"4\", 1]}}, \"107\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"108\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Missing or malformed graph node", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-14", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\"}, \"101\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \"\\u001csnow\\u001c\", \"prepend_text\": \"\\tdetailed fur\\ufeff\", \"negative_text\": \"\\ndetailed fur\\u001c\"}}, \"103\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\ud83d\\ude00\\u3000\"}}, \"104\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": \"\\u001ca,\\u001c\", \"prepend_text\": \"\\nsnow\\ud83d\\ude00\", \"append_text\": \"\\u001ca, \", \"clip\": [\"4\", 1]}}, \"102\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"103\", 0], \"conditioning_2\": [\"104\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "ConditioningCombine", "id": "101"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-15", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"103\": {\"records\": [{\"text\": \"\\u2028 \\u732b\\u2028 detailed fur\", \"negative_text\": \"\\u001c\\ud83d\\ude00\\ufeff\", \"prepend_text\": \"caf\\u00e9\", \"append_text\": \"detailed fur\\ufeff\\ud83d\\ude00\", \"positive_text\": \"\\ufeffdetailed fur\\n\", \"negative_effective_text\": \"\\u001c\\ud83d\\ude00\\ufeff\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"105\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u2028 \\u732b\\u2028 detailed fur\", \"negative_text\": \"\\u001c\\ud83d\\ude00\\ufeff\", \"prepend_text\": \"\\tcaf\\u00e9 \", \"append_text\": \"\\u3000detailed fur\\ufeff\\ud83d\\ude00\"}}, \"102\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"103\", 0], \"conditioning_2\": [\"103\", 0]}}, \"104\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\t\", \"clip\": [\"4\", 1]}}, \"101\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"102\", 0], \"conditioning_2\": [\"104\", 0]}}, \"108\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \"\\u3000fox\\u0085fox\", \"string_b\": \"\\u001c\\ud83d\\ude00\\n\\ud83d\\ude00\", \"delimiter\": \"\"}}, \"107\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": [\"108\", 0], \"string_b\": \"\\ufeffa,\\u3000detailed fur\", \"delimiter\": \" \"}}, \"106\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": [\"107\", 0], \"prepend_text\": \"\\u3000caf\\u00e9\\ufeff\", \"append_text\": \"\\ta,\\tcaf\\u00e9\", \"clip\": [\"4\", 1]}}, \"110\": {\"class_type\": \"TextInput\", \"inputs\": {\"text\": \"\\n\\u732b\\ufeff\"}}, \"109\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": [\"110\", 0], \"prepend_text\": \"detailed fursnow\", \"negative_text\": \"\\ta,\"}}, \"105\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 1], \"on_true\": [\"106\", 0], \"on_false\": [\"109\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (Unknown).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support (Unknown).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "Unknown", "id": "104"}, "reason": "Unsupported node semantics or output slot", "reason_code": "unsupported-node", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-16", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"105\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"Unknown\", \"inputs\": {\"string_1\": \" \", \"string_2\": \"
 detailed fur\", \"string_3\": \"\\na,\\u001cfox\", \"inputcount\": 3, \"delimiter\": \" \", \"return_list\": false}}, \"103\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"104\", 0], \"text_l\": [\"104\", 0]}}, \"102\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"103\", 0]}}, \"101\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"102\", 0], \"conditioning_2\": [\"102\", 0]}}, \"106\": {\"class_type\": \"StringConstant\", \"inputs\": {\"text\": \" snow…\"}}, \"105\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": [\"106\", 0], \"prepend_text\": \"a,\\u001cfox\", \"append_text\": \"\\na, a,\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "ConditioningCombine", "id": "102"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-17", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"103\": {\"records\": [{\"text\": \"\\u001c\\u0085\", \"negative_text\": \"\\nfox\\u001c\", \"prepend_text\": \"fox\\ufeff\", \"append_text\": \"\\ufefffox\", \"positive_text\": \" snow caf\\u00e9\", \"negative_effective_text\": \"\\nfox\\u001c\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"107\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u001c\\u0085\", \"negative_text\": \"\\nfox\\u001c\", \"prepend_text\": \" fox\\ufeff\", \"append_text\": \"\\ufefffox\\u3000\"}}, \"105\": {\"class_type\": \"StringConstant\", \"inputs\": {\"string\": \"\\n\\n\\ud83d\\ude00\"}}, \"104\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": [\"105\", 0], \"prepend_text\": \"\\u0085a,\\u3000\\ud83d\\ude00\", \"negative_text\": \"\\u2028 \\u732b\\u001c\"}}, \"102\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"103\", 1], \"conditioning_2\": [\"104\", 0]}}, \"106\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \"snow detailed fur\", \"prepend_text\": \"\\n\\u732b\\u001c\", \"negative_text\": \"detailed fur\\ud83d\\ude00\"}}, \"101\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"102\", 0]}}, \"109\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"\\n\\u732b \"}}, \"110\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"\\na,\\ufeffcaf\\u00e9\"}}, \"108\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": false, \"on_true\": [\"109\", 0], \"on_false\": [\"110\", 0]}}, \"107\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"108\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (PromptSearchList).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt is chosen at run time (PromptSearchList).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "PromptSearchList", "id": "101"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-18", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\tdetailed fur\\t\"}}, \"102\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\n\\ncaf\\u00e9\", \"text_l\": \"\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (PromptSearchList).", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a, detailed fur, café"}}, "resolution": {"node": {"class_type": "PromptSearchList", "id": "105"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-19", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"105\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \"\\ncafé\", \"prepend_text\": \"a, detailed fur\", \"negative_text\": \"\\na,\\u001c\"}}, \"104\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"…猫…\", \"clip\": [\"4\", 1]}}, \"102\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 1], \"on_true\": [\"103\", 0], \"on_false\": [\"104\", 0]}}, \"101\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"102\", 0]}}, \"105\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\u001ca,\\t\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (PromptSearchList).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt is chosen at run time (PromptSearchList).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "PromptSearchList", "id": "101"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-20", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\u0085fox\\ufeff\"}}, \"102\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u0085snow\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-21", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \"\\u001ccaf\\u00e9\\u0085\", \"prepend_text\": \"\\u3000detailed fur\", \"negative_text\": \"\\u001c\"}}, \"101\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"102\", 0]}}, \"103\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"\\tcaf\\u00e9 \", \"prepend_text\": \"\\t\\u732b\", \"append_text\": \"\\tcaf\\u00e9 \", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "detailed fur \u001ccaféa, fox"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "\tfox\u001c"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "fuzz-0-22", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"\\tfox\\u001c\"}}, \"103\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": \"\\u001ccaf\\u00e9\\ufeffa,\"}}, \"102\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": [\"103\", 0], \"prepend_text\": \"\\tdetailed fur\\u0085\", \"append_text\": \"\\u3000fox\\u001c\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "\u001c😀…"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "foxfox, \u001c猫
 "}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "fuzz-0-23", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"104\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \"\\ufefffoxfox\", \"string_b\": \"\\u001c\\u732b\\u2028 \", \"delimiter\": \", \"}}, \"102\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": [\"103\", 0], \"inputcount\": 1, \"delimiter\": \",\", \"return_list\": false}}, \"101\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"102\", 0], \"clip\": [\"4\", 1]}}, \"106\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"\\tcaf\\u00e9\\u0085\"}}, \"105\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"106\", 0]}}, \"110\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"\\u001c\\ud83d\\ude00\\u0085\"}}, \"109\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"110\", 0]}}, \"108\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": [\"109\", 0]}}, \"107\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"108\", 0], \"clip\": [\"4\", 1]}}, \"104\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": false, \"on_true\": [\"105\", 0], \"on_false\": [\"107\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-24", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"104\", 1], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": \"\\u001c\"}}, \"102\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"103\", 0], \"clip\": [\"4\", 1]}}, \"101\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"102\", 0]}}, \"104\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u001ccafé
 café\", \"negative_text\": \" detailed fur 😀\", \"prepend_text\": \"detailed fur\\u001c\", \"append_text\": \"
 a,…detailed fur\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-25", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"…\"}}, \"101\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"102\", 0]}}, \"105\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\t猫…\", \"clip\": [\"4\", 1]}}, \"104\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"105\", 0]}}, \"103\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"104\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-26", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"106\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"105\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\tdetailed fur \", \"clip\": [\"4\", 1]}}, \"104\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"105\", 0], \"conditioning_2\": [\"105\", 0]}}, \"103\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"104\", 0]}}, \"102\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"103\", 0]}}, \"101\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"102\", 0]}}, \"106\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\ncaf\\u00e9\\ufeff\", \"negative_text\": \"\\u3000detailed fur\\u001ca,\", \"prepend_text\": \"\\u0085snow\\u001cfox\", \"append_text\": \"\\u001c\\u732b\\u3000\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Missing or malformed graph node", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-27", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"106\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"105\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"a, \"}}, \"104\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"105\", 0]}}, \"103\": {\"class_type\": \"Text Concatenate\", \"inputs\": []}, \"102\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"103\", 0]}}, \"101\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"102\", 0], \"clip\": [\"4\", 1]}}, \"106\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\tdetailed fur\\u001c\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Missing or malformed graph node", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-28", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\"}, \"101\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"
 detailed fur\\t\", \"negative_text\": \" snow
 😀\", \"prepend_text\": \"\\n😀…\", \"append_text\": \"\\u001c😀
 \"}}, \"102\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": \"\\tfox…\", \"prepend_text\": \" 猫\", \"negative_text\": \"café…\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-29", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 1], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"snow \", \"negative_text\": \"\\u0085\\u0085\", \"prepend_text\": \"\\u2028 a, fox\", \"append_text\": \"\\tcaf\\u00e9\"}}, \"102\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\u001cdetailed fur\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "fox…detailed fur \u001c猫 snow a,"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a,\u001c"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "fuzz-0-30", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"a,\\u001c\", \"text_l\": \"a,\\u001c\"}}, \"102\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"\\u001c猫 snow\", \"prepend_text\": \" fox…detailed fur\", \"append_text\": \"a,\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Expected a typed graph link or text input", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-31", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"106\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \"\\u0085a, \", \"string_b\": \"caf\\u00e9\\u2028 \", \"delimiter\": \", \"}}, \"105\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": \"\\u0085caf\\u00e9\\u2028 \"}}, \"103\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": [\"104\", 0], \"string_b\": [\"105\", 0], \"delimiter\": \"\"}}, \"102\": {\"class_type\": \"TextInput\", \"inputs\": {\"string\": [\"103\", 0]}}, \"101\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": [\"102\", 0], \"prepend_text\": \"\\tcaf\\u00e9\\n\", \"negative_text\": \"\\u0085fox\\ufeff\"}}, \"106\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"\\u001ca,\\t\", \"prepend_text\": \"\\u0085\\u732b\\t\", \"append_text\": \"\\ufeffa,\\t\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "detailed fur "}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "foxsnow"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "fuzz-0-32", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"104\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_a\": \"…foxsnow\", \"clean_whitespace\": true}}, \"102\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"103\", 0], \"clip\": [\"4\", 1]}}, \"101\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"102\", 0]}}, \"105\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"detailed fur \"}}, \"104\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"105\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "fox fox 猫 café…fox …a,\t fox café\ta, snow"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "snow, fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "fuzz-0-33", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"103\": {\"records\": [{\"text\": \" caf\\u00e9\\u3000!\", \"negative_text\": \"\\u0085snow\\u3000\", \"prepend_text\": \"detailed fur\", \"append_text\": \"\", \"positive_text\": \"\\u001c\\ud83d\\ude00\\u2028 \", \"negative_effective_text\": \"\\u0085snow\\u3000\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"106\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \" café \", \"negative_text\": \"…snow \", \"prepend_text\": \"\\n detailed fur\", \"append_text\": \"\\n \"}}, \"105\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": \"\\u001cfox…\", \"prepend_text\": \" snow
 \", \"negative_text\": \"café detailed fur\"}}, \"104\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"105\", 0]}}, \"102\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": false, \"on_true\": [\"103\", 1], \"on_false\": [\"104\", 0]}}, \"101\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"102\", 0]}}, \"109\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_c\": \"…a,\\t\", \"text_d\": \"fox\\n\", \"text_a\": \"\\u001ccafé…fox\", \"clean_whitespace\": \"false\"}}, \"108\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_c\": [\"109\", 0], \"clean_whitespace\": true}}, \"107\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": [\"108\", 0], \"prepend_text\": \" fox 猫\", \"append_text\": \"…café\\ta,\"}}, \"106\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"107\", 0], \"prepend_text\": \"\\tfox \", \"append_text\": \"snow \", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-34", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"111\": {\"records\": [{\"text\": \"\\nsnow\\u001c\", \"negative_text\": \"\\tdetailed fur \", \"prepend_text\": \"snow\", \"append_text\": \"\\ufeffa,\", \"positive_text\": \"\\u001c\\n\", \"negative_effective_text\": \"\\tdetailed fur \"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"106\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"105\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\nfox\\u2028 \", \"clip\": [\"4\", 1]}}, \"104\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"105\", 0]}}, \"103\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"104\", 0]}}, \"102\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"103\", 0]}}, \"101\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"102\", 0]}}, \"109\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": \"\\ta,\\u2028 \", \"prepend_text\": \"\\u2028 caf\\u00e9\\u3000\", \"append_text\": \"\\u2028 \\ud83d\\ude00\\n\", \"clip\": [\"4\", 1]}}, \"110\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": \"\\u3000\\u2028 \", \"prepend_text\": \"\\u3000detailed fur \", \"append_text\": \"\\tcaf\\u00e9\", \"clip\": [\"4\", 1]}}, \"108\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": true, \"on_true\": [\"109\", 0], \"on_false\": [\"110\", 0]}}, \"111\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\nsnow\\u001c\", \"negative_text\": \"\\tdetailed fur \", \"prepend_text\": \"snow\\u0085\", \"append_text\": \"\\ufeffa, \"}}, \"107\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"108\", 0], \"conditioning_2\": [\"111\", 0]}}, \"106\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"107\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "\t😀\t"}, "positive": {"source": "execution", "status": "resolved", "text": "fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "fuzz-0-35", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"101\": {\"records\": [{\"text\": \"caf\\u00e9\\u2028 \", \"negative_text\": \"\\n\\u3000caf\\u00e9\", \"prepend_text\": \"caf\\u00e9\\ufeff\", \"append_text\": \"snow\", \"positive_text\": \"\\ufefffox\\ufeff\", \"negative_effective_text\": \"\\n\\u3000caf\\u00e9\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 1], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"caf\\u00e9\\u2028 \", \"negative_text\": \"\\n\\u3000caf\\u00e9\", \"prepend_text\": \"\\u3000caf\\u00e9\\ufeff\", \"append_text\": \"\\u3000snow\\u3000\"}}, \"102\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\ufeff\\ud83d\\ude00\\ta,\", \"negative_text\": \"\\t\\ud83d\\ude00\\t\", \"prepend_text\": \" \\u3000\", \"append_text\": \"\\u3000snow\\u001c\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (CLIPTextEncodeSDXL).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (CLIPTextEncodeSDXL).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "CLIPTextEncodeSDXL", "id": "101"}, "reason": "Encoder parts have different texts", "reason_code": "composite", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-36", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"café
 fox\", \"text_l\": \"
 \"}}, \"103\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\n猫\"}}, \"107\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"…\", \"clip\": [\"4\", 1]}}, \"106\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"107\", 0]}}, \"109\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \" 😀 a,\", \"clip\": [\"4\", 1]}}, \"110\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \" café\\n猫\", \"clip\": [\"4\", 1]}}, \"108\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": true, \"on_true\": [\"109\", 0], \"on_false\": [\"110\", 0]}}, \"105\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"106\", 0], \"conditioning_2\": [\"108\", 0]}}, \"111\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \"\\tsnow \", \"prepend_text\": \"猫…\", \"negative_text\": \"…detailed fur\\u001c\"}}, \"104\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"105\", 0], \"conditioning_2\": [\"111\", 0]}}, \"102\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": true, \"on_true\": [\"103\", 0], \"on_false\": [\"104\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "…猫\t"}}, "resolution": {"node": null, "reason": "Execution evidence does not match recorded node inputs", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-37", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"104\": {\"records\": [{\"text\": \"\\ndetailed fur\\u2028 !\", \"negative_text\": \"\\na,\\u2028 \", \"prepend_text\": \"\", \"append_text\": \"detailed fur\", \"positive_text\": \" \\ud83d\\ude00\\n\", \"negative_effective_text\": \"\\na,\\u2028 \"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"104\", 1], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": null, \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"\\u0085\\u732b\\t\", \"inputcount\": 1, \"delimiter\": \",\", \"return_list\": false}}, \"102\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"103\", 0], \"text_l\": [\"103\", 0]}}, \"101\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"102\", 0], \"conditioning_2\": [\"102\", 0]}}, \"104\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\ndetailed fur\\u2028 \", \"negative_text\": \"\\na,\\u2028 \", \"prepend_text\": \" \\u0085\", \"append_text\": \"\\ndetailed fur\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "
 fox\t猫"}}, "resolution": {"node": null, "reason": "Missing or malformed graph node", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-38", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u2028 fox\\t\\u732b\", \"clip\": [\"4\", 1]}}, \"105\": {\"class_type\": \"TextInput\", \"inputs\": {\"string\": \"\\u3000\\u732b\\u3000\"}}, \"104\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": [\"105\", 0], \"strip_newlines\": true}}, \"103\": {\"class_type\": \"StringConstant\", \"inputs\": {\"string\": [\"104\", 0]}}, \"102\": {\"class_type\": \"PromptManagerV2\"}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "猫… 猫"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "
 snow
 \t"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "fuzz-0-39", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"105\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"\\u2028 snow\\u2028 \"}}, \"103\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"104\", 0]}}, \"102\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_b\": [\"103\", 0], \"text_c\": \"\\ufeff\\t\", \"clean_whitespace\": \"false\"}}, \"101\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"102\", 0], \"clip\": [\"4\", 1]}}, \"108\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\ufeff\\u732b\\u0085\", \"strip_newlines\": false}}, \"107\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"108\", 0]}}, \"106\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": [\"107\", 0], \"prepend_text\": \"\", \"append_text\": \"\\ufeff\\u732b\\u3000\", \"clip\": [\"4\", 1]}}, \"105\": {\"class_type\": \"Unknown\", \"inputs\": {\"conditioning_1\": [\"106\", 0], \"conditioning_2\": [\"106\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Execution evidence does not match recorded node inputs", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-40", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"102\": {\"records\": [{\"text\": \"\\n\\ud83d\\ude00\\u2028 !\", \"negative_text\": \" fox\\t\", \"prepend_text\": \"caf\\u00e9\\ufeff\", \"append_text\": \"detailed fur\\ufeffdetailed fur\", \"positive_text\": \"\\u0085\\u732b\\u0085detailed fur\", \"negative_effective_text\": \" fox\\t\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\n\\ud83d\\ude00\\u2028 \", \"negative_text\": \" fox\\t\", \"prepend_text\": \"\\u0085caf\\u00e9\\ufeff\", \"append_text\": \"\\ndetailed fur\\ufeffdetailed fur\"}}, \"101\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"102\", 0]}}, \"106\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"fox\", \"strip_newlines\": true}}, \"105\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"106\", 0]}}, \"104\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": [\"105\", 0]}}, \"103\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": [\"104\", 0], \"prepend_text\": \" detailed fur\\u001c\", \"negative_text\": \"\\u0085\\na,\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "detailed fur snow"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "snow\tsnow"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "fuzz-0-41", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"snow\\tsnow\"}}, \"104\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \" detailed fur \"}}, \"103\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": [\"104\", 0], \"strip_newlines\": true}}, \"102\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"103\", 0], \"prepend_text\": \"\\t\\u001c\", \"append_text\": \"
 snow \", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-42", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": \"猫\", \"prepend_text\": \"
 a,\\t\", \"append_text\": \" \\u001c\", \"clip\": [\"4\", 1]}}, \"101\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"102\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "café, detailed fur snow a, café \t😀"}, "positive": {"source": "execution", "status": "resolved", "text": "snow "}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "fuzz-0-43", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"105\": {\"records\": [{\"text\": \"\\u3000a,\\u3000\", \"negative_text\": \"snow\\u3000\", \"prepend_text\": \"caf\\u00e9detailed fur\", \"append_text\": \"fox\\u001csnow\", \"positive_text\": \"\\u0085\\u732b\\u2028 \", \"negative_effective_text\": \"snow\\u3000\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"106\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"café…\", \"text_l\": \"café…\"}}, \"103\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"104\", 0], \"conditioning_2\": [\"104\", 0]}}, \"102\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"103\", 0]}}, \"105\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \" a, \", \"negative_text\": \"snow \", \"prepend_text\": \"\\tcafédetailed fur\", \"append_text\": \"\\nfox\\u001csnow\"}}, \"101\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": false, \"on_true\": [\"102\", 0], \"on_false\": [\"105\", 1]}}, \"109\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_a\": \"\\na, \", \"text_c\": \"\\ncafé\\n\", \"clean_whitespace\": true}}, \"108\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \" detailed fur snow\", \"string_2\": [\"109\", 0], \"string_3\": \"\\t😀…\", \"inputcount\": 3, \"delimiter\": \" \", \"return_list\": false}}, \"107\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": [\"108\", 0], \"prepend_text\": \"…café\\u001c\", \"negative_text\": \"snow…\"}}, \"106\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"107\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "absent", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "😀 😀"}}, "resolution": {"node": null, "reason": "Negative input is absent", "reason_code": null, "sampler_id": "3", "state": "absent"}}, "name": "fuzz-0-44", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\ud83d\\ude00 \\ud83d\\ude00\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "café\u001cdetailed fur, detailed fur"}}, "resolution": {"node": null, "reason": "Missing or malformed graph node", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-45", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"106\": {\"records\": [{\"text\": \"\\u001cfox\\u3000!\", \"negative_text\": \"\\n\\ud83d\\ude00\\u0085\", \"prepend_text\": \"\\ufeff\", \"append_text\": \"a,\", \"positive_text\": \"\\ufeffdetailed fur\\ud83d\\ude00\", \"negative_effective_text\": \"\\n\\ud83d\\ude00\\u0085\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": \"
 detailed fur \", \"prepend_text\": \"…café\\u001cdetailed fur\", \"negative_text\": \"\\u001cfox\"}}, \"105\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"
 😀\"}}, \"104\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"105\", 0]}}, \"103\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": []}, \"106\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u001cfox \", \"negative_text\": \"\\n😀…\", \"prepend_text\": \"
 \", \"append_text\": \" a,\\t\"}}, \"102\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"103\", 0], \"conditioning_2\": [\"106\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (CLIPTextEncodeSDXL).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (CLIPTextEncodeSDXL).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "CLIPTextEncodeSDXL", "id": "102"}, "reason": "Encoder parts have different texts", "reason_code": "composite", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-46", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"106\": {\"records\": [{\"text\": \"\\t\\u732b\\u2028 \", \"negative_text\": \"\\u001cfox\\ufeff\", \"prepend_text\": \"fox\\u3000detailed fur\", \"append_text\": \"detailed fur\", \"positive_text\": \" fox \\u732b\", \"negative_effective_text\": \"\\u001cfox\\ufeff\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"107\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \" detailed fur\", \"prepend_text\": \"café
 \", \"append_text\": \"\\ncafé\\n\"}}, \"102\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"103\", 0], \"text_l\": \"\\t😀
 猫\"}}, \"106\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\t猫
 \", \"negative_text\": \"\\u001cfox\", \"prepend_text\": \"\\nfox detailed fur\", \"append_text\": \"\\ndetailed fur
 \"}}, \"105\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"106\", 0]}}, \"104\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"105\", 0]}}, \"101\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 1], \"on_true\": [\"102\", 0], \"on_false\": [\"104\", 0]}}, \"110\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_b\": \"fox
 \", \"text_c\": \"猫\", \"text_a\": \"\\t😀\", \"clean_whitespace\": \"false\"}}, \"109\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": [\"110\", 0], \"inputcount\": 1, \"delimiter\": \",\", \"return_list\": false}}, \"108\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"109\", 0], \"prepend_text\": \"\\u001c😀\\t猫\", \"append_text\": \" a,\", \"clip\": [\"4\", 1]}}, \"107\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"108\", 0], \"conditioning_2\": [\"108\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Selector branches have different prompts", "reason_code": null, "sampler_id": "3", "state": "ambiguous"}}, "name": "fuzz-0-47", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"105\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \" detailed fur
 猫\"}}, \"104\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"\\tcafé
 \", \"prepend_text\": \"
 …😀\", \"append_text\": \"fox\\n\", \"clip\": [\"4\", 1]}}, \"103\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"104\", 0]}}, \"101\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 0], \"on_true\": [\"102\", 0], \"on_false\": [\"103\", 0]}}, \"105\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \" 😀\", \"text_l\": \" 😀\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Missing or malformed graph node", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-48", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": []}, \"101\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"\\u001cfoxcafé\"}}, \"106\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \" detailed fur \"}}, \"105\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"106\", 0]}}, \"104\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"105\", 0], \"prepend_text\": \"\\tfox
 猫\", \"append_text\": \" 猫…café\", \"clip\": [\"4\", 1]}}, \"103\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"104\", 0]}}, \"102\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"103\", 0], \"conditioning_2\": [\"103\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (PromptSearchList).", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "café
 😀"}}, "resolution": {"node": {"class_type": "PromptSearchList", "id": "102"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-49", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"café
 😀\", \"clip\": [\"4\", 1]}}, \"102\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"a,\\t\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (PromptSearchList).", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "😀"}}, "resolution": {"node": {"class_type": "PromptSearchList", "id": "105"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-50", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"104\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \" \\t\"}}, \"102\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"103\", 0]}}, \"101\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": [\"102\", 0], \"prepend_text\": \"\\u2028 \\ud83d\\ude00\\u2028 \", \"negative_text\": \"\\ufeffdetailed fur\\t\"}}, \"105\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \" caf\\u00e9\\ufeffsnow\"}}, \"104\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"105\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "ConditioningCombine", "id": "101"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-51", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"105\": {\"records\": [{\"text\": \"\\ufeffcaf\\u00e9\\u2028 \", \"negative_text\": \"\\t\\u732b\\t\", \"prepend_text\": \"\\ufeff\\ud83d\\ude00\\u001cdetailed fur\", \"append_text\": \"fox\", \"positive_text\": \"\\ud83d\\ude00\\t\", \"negative_effective_text\": \"\\t\\u732b\\t\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"106\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"a,\\tdetailed fur\", \"prepend_text\": \"\\nfox\\n\", \"append_text\": \"fox\\u3000\\ud83d\\ude00\"}}, \"103\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \"caf\\u00e9 \", \"string_b\": [\"104\", 0], \"delimiter\": \", \"}}, \"102\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"103\", 0], \"text_l\": [\"103\", 0]}}, \"105\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\ufeffcaf\\u00e9\\u2028 \", \"negative_text\": \"\\t\\u732b\\t\", \"prepend_text\": \"\\ufeff\\ud83d\\ude00\\u001cdetailed fur\", \"append_text\": \"fox\\u2028 \"}}, \"101\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"102\", 0], \"conditioning_2\": [\"105\", 0]}}, \"109\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \" a,\\na,\", \"string_b\": \"\\ufeff\\u2028 \", \"delimiter\": \"\"}}, \"108\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"109\", 0]}}, \"107\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": [\"108\", 0]}}, \"106\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"107\", 0], \"text_l\": [\"107\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": " a,"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "fox, a,"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "fuzz-0-52", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\"}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \" a,\\t\", \"strip_newlines\": true}}, \"101\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": [\"102\", 0], \"prepend_text\": \"\\tfox \", \"negative_text\": \" snow
 😀\"}}, \"103\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \" a,\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Selector branches have different prompts", "reason_code": null, "sampler_id": "3", "state": "ambiguous"}}, "name": "fuzz-0-53", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"106\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\nsnow\\ufeffdetailed fur\", \"negative_text\": \"\\nfox\\u2028 \", \"prepend_text\": \"a,\", \"append_text\": \"\\ta,\\u001c\"}}, \"105\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"\\u0085caf\\u00e9\", \"prepend_text\": \"\\ufeffcaf\\u00e9\\u3000\", \"append_text\": \"\\ufeff\\u732b\"}}, \"104\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": [\"105\", 0], \"strip_newlines\": true}}, \"103\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": [\"104\", 0], \"prepend_text\": \"\\ufeffa,\\u0085\", \"append_text\": \"\\tdetailed fur\\u3000detailed fur\", \"clip\": [\"4\", 1]}}, \"101\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 0], \"on_true\": [\"102\", 0], \"on_false\": [\"103\", 0]}}, \"109\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\ufeff\\u732b\\u0085\", \"negative_text\": \"\\ta,\\n\\ud83d\\ude00\", \"prepend_text\": \"\\u2028 caf\\u00e9\\u2028 \", \"append_text\": \" \\ufeffcaf\\u00e9\"}}, \"108\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"109\", 1]}}, \"111\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\u001cdetailed fur\\u001c\", \"strip_newlines\": false}}, \"110\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"111\", 0], \"text_l\": \"\"}}, \"107\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"108\", 0], \"conditioning_2\": [\"110\", 0]}}, \"106\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"107\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Execution evidence does not match recorded node inputs", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-54", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"102\": {\"records\": [{\"text\": \"\\ufeffdetailed fur\\u0085!\", \"negative_text\": \"\\u3000fox \", \"prepend_text\": \"caf\\u00e9\", \"append_text\": \"\", \"positive_text\": \"\\ufeffa,\\n\", \"negative_effective_text\": \"\\u3000fox \"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"detailed fur…\", \"negative_text\": \" fox \", \"prepend_text\": \"…café\\u001c\", \"append_text\": \"
 \\u001c\"}}, \"101\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"102\", 1], \"conditioning_2\": [\"102\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "No supported sampler was found.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "No supported sampler was found.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "No supported sampler pair found", "reason_code": "no-sampler", "sampler_id": null, "state": "unresolved"}}, "name": "fuzz-0-55", "records": {"prompt": "{\"3\": {\"class_type\": null, \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"105\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"fox \", \"strip_newlines\": false}}, \"103\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": [\"104\", 0], \"string_b\": \"\\u3000caf\\u00e9\\u2028 \", \"delimiter\": \"\"}}, \"102\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"103\", 0]}}, \"101\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"102\", 0], \"clip\": [\"4\", 1]}}, \"109\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\tcaf\\u00e9\\n\\ud83d\\ude00\", \"clip\": [\"4\", 1]}}, \"108\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"109\", 0]}}, \"107\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"108\", 0]}}, \"106\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"107\", 0]}}, \"105\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"106\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (PromptSearchList).", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "\t猫"}}, "resolution": {"node": {"class_type": "PromptSearchList", "id": "102"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-56", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"\\t\\u732b\"}}, \"102\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\u001csnow\\u001c\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-57", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"105\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": []}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\u3000caf\\u00e9\\t\"}}, \"103\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"104\", 0]}}, \"102\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"103\", 0]}}, \"101\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"102\", 0]}}, \"106\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\ufeffa,\\ufeff\\ud83d\\ude00\"}}, \"107\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \" a,\\ufeff\\ud83d\\ude00\"}}, \"105\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": false, \"on_true\": [\"106\", 0], \"on_false\": [\"107\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (CLIPTextEncodeSDXL).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (CLIPTextEncodeSDXL).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "CLIPTextEncodeSDXL", "id": "101"}, "reason": "Encoder parts have different texts", "reason_code": "composite", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-58", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"107\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"StringConstant\", \"inputs\": {\"string\": \"😀\"}}, \"103\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_d\": \"
 猫\\t\", \"text_a\": \"…detailed fur
 detailed fur\", \"text_b\": [\"104\", 0], \"clean_whitespace\": true}}, \"106\": {\"class_type\": \"StringConstant\", \"inputs\": {\"string\": \"
 detailed fur \"}}, \"105\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": [\"106\", 0], \"strip_newlines\": false}}, \"102\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": [\"103\", 0], \"string_b\": [\"105\", 0], \"delimiter\": \" \"}}, \"101\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"102\", 0], \"text_l\": \"猫\\ndetailed fur\"}}, \"107\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"
 猫\\n\", \"negative_text\": \"\\nsnow
 猫\", \"prepend_text\": \"
 detailed fur \", \"append_text\": \"\\u001c\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Expected a typed graph link or text input", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "fuzz-0-59", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"\\nfox\\t\", \"prepend_text\": \" \\ud83d\\ude00\\u001c\", \"append_text\": \"\\u001csnow \"}}, \"101\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {}}, \"104\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\ncaf\\u00e9\\u3000\"}}, \"103\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"104\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "
   café\u001csnow"}}, "resolution": {"node": {"class_type": "ConditioningCombine", "id": "102"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "106", "state": "unresolved"}}, "name": "select-fuzz-0-0", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"103\": {\"records\": [{\"text\": \"\\u001csnow \", \"negative_text\": \"\\u0085\\u2028 detailed fur\", \"prepend_text\": \"\\u732b\", \"append_text\": \"\\ud83d\\ude00\", \"positive_text\": \"snow\\u3000\", \"negative_effective_text\": \"\\u0085\\u2028 detailed fur\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"\\u2028 \\u3000\", \"prepend_text\": \"\\u001c\\u0085\", \"append_text\": \"\\ncaf\\u00e9\\u001csnow\", \"clip\": [\"4\", 1]}}, \"103\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u001csnow \", \"negative_text\": \"\\u0085\\u2028 detailed fur\", \"prepend_text\": \"\\u0085\\u732b\\u2028 \", \"append_text\": \"\\u2028 \\ud83d\\ude00\"}}, \"105\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \"\\u0085snow\\n\", \"prepend_text\": \"\\n\\u732b\\t\", \"negative_text\": \"\\ufeffsnow \"}}, \"104\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"105\", 0]}}, \"102\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"103\", 0], \"conditioning_2\": [\"104\", 0]}}, \"106\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"107\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"106\", 0]}}, \"108\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"107\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-1", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"snow \", \"negative_text\": \"\\n😀\\tcafé\", \"prepend_text\": \"😀café\", \"append_text\": \"\\tfox \"}}, \"106\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \" a, \"}}, \"105\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"106\", 0]}}, \"104\": {\"class_type\": \"TextInput\", \"inputs\": {\"text\": [\"105\", 0]}}, \"103\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": [\"104\", 0], \"strip_newlines\": false}}, \"102\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"103\", 0], \"prepend_text\": \"\\n猫\", \"append_text\": \" 猫…\", \"clip\": [\"4\", 1]}}, \"107\": {\"class_type\": \"KSamplerAdvanced\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 1], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"109\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"
 snow猫\", \"strip_newlines\": true}}, \"108\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"109\", 0], \"text_l\": [\"109\", 0]}}, \"110\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"猫\\t\", \"text_l\": \"猫\\t\"}}, \"111\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"108\", 0], \"negative\": [\"110\", 0], \"latent_image\": [\"5\", 0]}}, \"112\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"107\", 0]}}, \"115\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \"\\u001ca, \", \"string_b\": \" detailed fur\\n\", \"delimiter\": \" \"}}, \"114\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"115\", 0], \"text_l\": [\"115\", 0]}}, \"118\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \"café\", \"string_b\": \" 😀…\", \"delimiter\": \" \"}}, \"117\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_c\": [\"118\", 0], \"clean_whitespace\": \"false\"}}, \"116\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"117\", 0], \"clip\": [\"4\", 1]}}, \"113\": {\"class_type\": \"DetailerForEach\", \"inputs\": {\"image\": [\"112\", 0], \"model\": [\"4\", 0], \"positive\": [\"114\", 0], \"negative\": [\"116\", 0]}}, \"119\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"113\", 0]}}, \"120\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"113\", 0]}}, \"121\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"111\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "ConditioningCombine", "id": "101"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "104", "state": "unresolved"}}, "name": "select-fuzz-0-2", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"\\t\\ud83d\\ude00\\u3000\"}}, \"103\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\na,\\t\", \"text_l\": \"\\na,\\t\"}}, \"101\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"102\", 0], \"conditioning_2\": [\"103\", 0]}}, \"104\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"latent_image\": [\"5\", 0]}}, \"105\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"104\", 0]}}, \"106\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"105\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "select-fuzz-0-3", "records": {"parameters": "Steps:٣, a\r\nfox\r"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "select-fuzz-0-4", "records": {"parameters": "Negative prompt: blur \tfox 
 a,
Negative prompt:\n"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "select-fuzz-0-5", "records": {"parameters": "\u001ccafé Negative Template: n\n"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "
 😀"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": " snow 猫"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "111", "state": "resolved"}}, "name": "select-fuzz-0-6", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"105\": {\"records\": [{\"text\": \"\\u001csnow\\ufeff\", \"negative_text\": \"\\ud83d\\ude00\\t\", \"prepend_text\": \"\\ud83d\\ude00\", \"append_text\": \"detailed fur\", \"positive_text\": \"\\u0085snow\\ufeff\", \"negative_effective_text\": \"\\ud83d\\ude00\\t\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": \"detailed fur…\"}}, \"103\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"104\", 0]}}, \"102\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_c\": \"fox😀\", \"text_a\": [\"103\", 0], \"text_d\": \" 😀😀\", \"clean_whitespace\": \"false\"}}, \"101\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": [\"102\", 0], \"prepend_text\": \"…a, \", \"negative_text\": \"fox\\u001c😀\"}}, \"105\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u001csnow\", \"negative_text\": \"😀\\t\", \"prepend_text\": \" 😀 \", \"append_text\": \"\\u001cdetailed fur \"}}, \"106\": {\"class_type\": \"KSamplerAdvanced\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"105\", 0], \"latent_image\": [\"5\", 0]}}, \"109\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \" snow 猫\"}}, \"108\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"109\", 0]}}, \"107\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"108\", 0]}}, \"110\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"
 😀\", \"clip\": [\"4\", 1]}}, \"111\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"107\", 0], \"negative\": [\"110\", 0], \"latent_image\": [\"5\", 0]}}, \"112\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"106\", 0]}}, \"117\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \" 猫…fox\", \"clip\": [\"4\", 1]}}, \"116\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"117\", 0]}}, \"115\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"116\", 0]}}, \"118\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": \" 😀\\n\", \"prepend_text\": \"\\ncafé detailed fur\", \"negative_text\": \"…café \"}}, \"114\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"115\", 0], \"conditioning_2\": [\"118\", 0]}}, \"121\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": \"
 …\", \"prepend_text\": \"猫
 \", \"append_text\": \"\\nfox…\", \"clip\": [\"4\", 1]}}, \"120\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"121\", 0]}}, \"119\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"120\", 0]}}, \"113\": {\"class_type\": \"UltimateSDUpscaleNoUpscale\", \"inputs\": {\"model\": [\"4\", 0], \"positive\": [\"114\", 0], \"negative\": [\"119\", 0], \"upscaled_image\": [\"112\", 0]}}, \"122\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"113\", 0]}}, \"123\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"111\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-7", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"110\": {\"records\": [{\"text\": \"\\u0085snow\\ufeff\", \"negative_text\": \"\\u001cdetailed fur\\u3000\", \"prepend_text\": \"caf\\u00e9\\ta,\", \"append_text\": \"fox\\ufeff\", \"positive_text\": \" caf\\u00e9\\u0085\", \"negative_effective_text\": \"\\u001cdetailed fur\\u3000\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"\\ncafé\"}}, \"103\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": [\"104\", 0], \"prepend_text\": \"a,\\t\", \"negative_text\": \"a,
 \"}}, \"106\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \" 猫\\u001c\", \"string_b\": \"  \", \"delimiter\": \"\"}}, \"105\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"106\", 0], \"clip\": [\"4\", 1]}}, \"102\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"103\", 0], \"conditioning_2\": [\"105\", 0]}}, \"101\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"102\", 0]}}, \"107\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"latent_image\": [\"5\", 0]}}, \"110\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"…snow\", \"negative_text\": \"\\u001cdetailed fur \", \"prepend_text\": \"café\\ta,\", \"append_text\": \"fox\"}}, \"109\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"110\", 1], \"conditioning_2\": [\"110\", 1]}}, \"108\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"109\", 0]}}, \"111\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": \"\\ta, \", \"prepend_text\": \"…猫 \", \"negative_text\": \"snow\"}}, \"112\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"108\", 0], \"negative\": [\"111\", 0], \"latent_image\": [\"5\", 0]}}, \"114\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"\\tdetailed fur\\u001c\"}}, \"115\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"
 猫\"}}, \"113\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": true, \"on_true\": [\"114\", 0], \"on_false\": [\"115\", 0]}}, \"119\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": \"\\u001cfox
 \"}}, \"120\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\nsnow
 \", \"strip_newlines\": false}}, \"118\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": [\"119\", 0], \"string_b\": [\"120\", 0], \"delimiter\": \" \"}}, \"117\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": [\"118\", 0], \"prepend_text\": \"\\u001csnow\\t\", \"negative_text\": \" snow \"}}, \"116\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"117\", 0]}}, \"121\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"113\", 0], \"negative\": [\"116\", 0], \"latent_image\": [\"5\", 0]}}, \"122\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"107\", 0]}}, \"123\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"122\", 0]}}, \"124\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"122\", 0]}}, \"125\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"112\", 0]}}, \"128\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \" a,\", \"text_l\": \" a,\"}}, \"131\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\t猫snow\", \"clip\": [\"4\", 1]}}, \"132\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"😀…\", \"clip\": [\"4\", 1]}}, \"130\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": true, \"on_true\": [\"131\", 0], \"on_false\": [\"132\", 0]}}, \"129\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"130\", 0]}}, \"127\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"128\", 0], \"conditioning_2\": [\"129\", 0]}}, \"126\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"125\", 0], \"model\": [\"4\", 0], \"positive\": [\"113\", 0], \"negative\": [\"127\", 0]}}, \"133\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"126\", 0]}}, \"134\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"121\", 0]}}, \"135\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"134\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": null, "state": "unresolved"}}, "name": "select-fuzz-0-8", "records": {"parameters": "Steps:٣, a
\u001ca,\t\n"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (PromptSearchList).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt is chosen at run time (PromptSearchList).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "PromptSearchList", "id": "119"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "117", "state": "unresolved"}}, "name": "select-fuzz-0-9", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"127\": {\"records\": [{\"text\": \"\\u0085\\u3000\", \"negative_text\": \"\\u2028 a,\\ufeff\", \"prepend_text\": \"\", \"append_text\": \"\\u732b\", \"positive_text\": \"snow \", \"negative_effective_text\": \"\\u2028 a,\\ufeff\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"…猫\\n\", \"strip_newlines\": false}}, \"103\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": [\"104\", 0], \"prepend_text\": \"…detailed fur\", \"append_text\": \"detailed fur \", \"clip\": [\"4\", 1]}}, \"102\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"103\", 0]}}, \"101\": {\"class_type\": \"Unknown\", \"inputs\": {\"conditioning_1\": [\"102\", 0], \"conditioning_2\": [\"102\", 0]}}, \"108\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"…😀café\"}}, \"107\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"108\", 0]}}, \"106\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"a,
 detailed fur\", \"string_2\": [\"107\", 0], \"string_3\": \"
 café\", \"inputcount\": 3, \"delimiter\": \" \", \"return_list\": false}}, \"105\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": [\"106\", 0], \"prepend_text\": \" café\\n\", \"append_text\": \"…café…\", \"clip\": [\"4\", 1]}}, \"109\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"105\", 0], \"latent_image\": [\"5\", 0]}}, \"113\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"\\u001csnow\\u001c\"}}, \"112\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": [\"113\", 0], \"prepend_text\": \"\\tdetailed fur\", \"append_text\": \"\\ndetailed fur\\u001c\"}}, \"111\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"112\", 0], \"clip\": [\"4\", 1]}}, \"110\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"111\", 0], \"conditioning_2\": [\"111\", 0]}}, \"114\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"😀 \"}}, \"115\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"110\", 0], \"negative\": [\"114\", 0], \"latent_image\": [\"109\", 0]}}, \"116\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"109\", 0]}}, \"119\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \" fox \"}}, \"118\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"119\", 0], \"conditioning_2\": [\"119\", 0]}}, \"122\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_d\": \"\\u001c😀
 猫\", \"clean_whitespace\": true}}, \"121\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": [\"122\", 0], \"strip_newlines\": true}}, \"120\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"121\", 0], \"text_l\": [\"121\", 0]}}, \"117\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"116\", 0], \"model\": [\"4\", 0], \"positive\": [\"118\", 0], \"negative\": [\"120\", 0]}}, \"123\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"115\", 0]}}, \"125\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\tsnow \"}}, \"127\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"… \", \"negative_text\": \"
 a,\", \"prepend_text\": \"\\u001c\", \"append_text\": \"猫\"}}, \"126\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"127\", 1]}}, \"124\": {\"class_type\": \"UltimateSDUpscaleNoUpscale\", \"inputs\": {\"model\": [\"4\", 0], \"positive\": [\"125\", 0], \"negative\": [\"126\", 0], \"upscaled_image\": [\"123\", 0]}}, \"128\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"124\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": "110", "state": "unresolved"}}, "name": "select-fuzz-0-10", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"113\": {\"records\": [{\"text\": \"\\u0085detailed fur\\ufeffdetailed fur\", \"negative_text\": \"\\ufeff\\u001c\", \"prepend_text\": \"a,\\u001cfox\", \"append_text\": \"a,fox\", \"positive_text\": \"\\u3000\\u732b\\u3000\", \"negative_effective_text\": \"\\ufeff\\u001c\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"105\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\nsnow\\u3000\", \"clip\": [\"4\", 1]}}, \"104\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"105\", 0], \"conditioning_2\": [\"105\", 0]}}, \"103\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"104\", 0]}}, \"102\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"103\", 0]}}, \"101\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"102\", 0]}}, \"106\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": \"\\ta,\\tcaf\\u00e9\", \"prepend_text\": \"\\ufeffa,\\u3000\", \"append_text\": \"\\ufeffdetailed fur\\n\", \"clip\": [\"4\", 1]}}, \"107\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"106\", 0], \"latent_image\": [\"5\", 0]}}, \"108\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"107\", 0]}}, \"109\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"108\", 0]}}, \"112\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\n\\ud83d\\ude00 \"}}, \"113\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u0085detailed fur\\ufeffdetailed fur\", \"negative_text\": \"\\ufeff\\u001c\", \"prepend_text\": \"\\na,\\u001cfox\", \"append_text\": \"\\ta,fox\"}}, \"111\": {\"class_type\": \"Unknown\", \"inputs\": {\"boolean\": true, \"on_true\": [\"112\", 0], \"on_false\": [\"113\", 1]}}, \"110\": {\"class_type\": \"DetailerForEach\", \"inputs\": {\"image\": [\"108\", 0], \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"111\", 0]}}, \"114\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"110\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-11", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"105\": {\"records\": [{\"text\": \"\\u001c\\u0085\", \"negative_text\": \"\\nfox\\u001c\", \"prepend_text\": \"fox\\ufeff\", \"append_text\": \"\\ufefffox\", \"positive_text\": \" snow caf\\u00e9\", \"negative_effective_text\": \"\\nfox\\u001c\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\na,\\n\", \"strip_newlines\": false}}, \"101\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"102\", 0], \"clip\": [\"4\", 1]}}, \"105\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u001c…\", \"negative_text\": \"\\nfox\\u001c\", \"prepend_text\": \" fox\", \"append_text\": \"fox \"}}, \"107\": {\"class_type\": \"StringConstant\", \"inputs\": {\"string\": \"\\n\\n😀\"}}, \"106\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": [\"107\", 0], \"prepend_text\": \"…a, 😀\", \"negative_text\": \"
 猫\\u001c\"}}, \"104\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"105\", 1], \"conditioning_2\": [\"106\", 0]}}, \"108\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \"snow detailed fur\", \"prepend_text\": \"\\n猫\\u001c\", \"negative_text\": \"detailed fur😀\"}}, \"103\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"104\", 0], \"conditioning_2\": [\"108\", 0]}}, \"109\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"5\", 0]}}, \"111\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"\\n猫 \"}}, \"110\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"111\", 0]}}, \"116\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\tcafé\", \"clip\": [\"4\", 0.0]}}, \"115\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"116\", 0]}}, \"114\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"115\", 0], \"conditioning_2\": [\"115\", 0]}}, \"118\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\tdetailed fur\\t\"}}, \"117\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"118\", 0]}}, \"113\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 1], \"on_true\": [\"114\", 0], \"on_false\": [\"117\", 0]}}, \"112\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"113\", 0]}}, \"119\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"110\", 0], \"negative\": [\"112\", 0], \"latent_image\": [\"5\", 0]}}, \"120\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"5\", 0]}}, \"121\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"109\", 0]}}, \"122\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"121\", 0]}}, \"123\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"121\", 0]}}, \"124\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"119\", 0]}}, \"125\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"124\", 0]}}, \"126\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"120\", 0]}}, \"130\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"\\ncafé\", \"inputcount\": 1, \"delimiter\": \",\", \"return_list\": false}}, \"129\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": [\"130\", 0]}}, \"128\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"129\", 0], \"text_l\": \"\"}}, \"132\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"…猫…\", \"prepend_text\": \"\\n😀…\", \"append_text\": \"\\u001cfox…\", \"clip\": [\"4\", 1]}}, \"131\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"132\", 0], \"conditioning_2\": [\"132\", 0]}}, \"127\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"126\", 0], \"model\": [\"4\", 0], \"positive\": [\"128\", 0], \"negative\": [\"131\", 0]}}, \"133\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"127\", 0]}}, \"134\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"127\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": " detailed fur"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": " café\n"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "105", "state": "resolved"}}, "name": "select-fuzz-0-12", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \" café\\n\", \"clip\": [\"4\", 1]}}, \"104\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \" detailed fur\"}}, \"103\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"104\", 0]}}, \"102\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"103\", 0], \"conditioning_2\": [\"103\", 0]}}, \"105\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"106\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"105\", 0]}}, \"107\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"106\", 0]}}, \"108\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"106\", 0]}}, \"109\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"106\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-13", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\t猫\", \"text_l\": \"\"}}, \"101\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"102\", 0]}}, \"104\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": \" fox\"}}, \"103\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": [\"104\", 0], \"prepend_text\": \"…😀\\t\", \"negative_text\": \"
 a,\\t\"}}, \"105\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"5\", 0]}}, \"106\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"5\", 0]}}, \"107\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"105\", 0]}}, \"109\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"😀\", \"negative_text\": \" detailed fur…\", \"prepend_text\": \"😀😀\", \"append_text\": \"\\na, \"}}, \"108\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"107\", 0], \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"109\", 1]}}, \"110\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"108\", 0]}}, \"111\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"106\", 0]}}, \"112\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"111\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "select-fuzz-0-14", "records": {"parameters": "Negative prompt:\r\ncafé…\r\n"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "café "}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "detailed fur 😀, snow \u001c café
 café"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "105", "state": "resolved"}}, "name": "select-fuzz-0-15", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"\\u001c\", \"prepend_text\": \"\\nsnow\\u2028 \", \"append_text\": \"\\u001ccaf\\u00e9\\u2028 caf\\u00e9\"}}, \"102\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_b\": [\"103\", 0], \"clean_whitespace\": true}}, \"101\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": [\"102\", 0], \"prepend_text\": \" detailed fur\\u3000\\ud83d\\ude00\", \"negative_text\": \"detailed fur\\u001c\"}}, \"104\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u0085\\u732b\\u3000\", \"negative_text\": \"caf\\u00e9\\u3000\", \"prepend_text\": \"detailed fur\\n\", \"append_text\": \"\\u0085caf\\u00e9\\n\"}}, \"105\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"104\", 1], \"latent_image\": [\"5\", 0]}}, \"106\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"105\", 0]}}, \"107\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"106\", 0]}}, \"108\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"106\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": "135", "state": "unresolved"}}, "name": "select-fuzz-0-16", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"107\": {\"records\": [{\"text\": \"\\tcaf\\u00e9\\t\", \"negative_text\": \"fox\\u2028 \", \"prepend_text\": \"caf\\u00e9\", \"append_text\": \"snow\\u2028 \\ud83d\\ude00\", \"positive_text\": \"\\u001ca,\\u001c\", \"negative_effective_text\": \"fox\\u2028 \"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\u3000detailed fur\\u3000\", \"strip_newlines\": false}}, \"105\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"\\u0085caf\\u00e9\\u001c\", \"prepend_text\": \"detailed fur\\ufeff\", \"append_text\": \"\\tfox \"}}, \"103\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"\\u0085a, \", \"string_2\": [\"104\", 0], \"string_3\": [\"105\", 0], \"inputcount\": 3, \"delimiter\": \",\", \"return_list\": false}}, \"102\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_a\": [\"103\", 0], \"text_b\": \" \", \"clean_whitespace\": \"true\"}}, \"101\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": [\"102\", 0], \"prepend_text\": \"\\u0085detailed fur\\t\", \"negative_text\": \"\\u001cdetailed fur\\t\"}}, \"107\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\tcaf\\u00e9\\t\", \"negative_text\": \"fox\\u2028 \", \"prepend_text\": \"\\u3000caf\\u00e9\\u0085\", \"append_text\": \" snow\\u2028 \\ud83d\\ude00\"}}, \"106\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"107\", 0], \"conditioning_2\": [\"107\", 0]}}, \"108\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"106\", 0], \"latent_image\": [\"108\", 0]}}, \"111\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_a\": \"\\u2028 a,\", \"text_c\": \"\\u3000a,\\ufeff\", \"clean_whitespace\": \"false\"}}, \"112\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \"caf\\u00e9\\t\\u732b\", \"string_b\": \"\\ud83d\\ude00\\u3000\", \"delimiter\": \" \"}}, \"110\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_a\": \"\\ufeff\\u732b\\ufeff\", \"text_b\": [\"111\", 0], \"text_d\": [\"112\", 0], \"clean_whitespace\": true}}, \"109\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"110\", 0], \"clip\": [\"4\", 1]}}, \"113\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\ufeffa,\\u001c\", \"text_l\": \"\\ufeffa,\\u001c\"}}, \"114\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"109\", 0], \"negative\": [\"113\", 0], \"latent_image\": [\"5\", 0]}}, \"115\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"108\", 0]}}, \"119\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"\\u0085snow fox\", \"prepend_text\": \"\\tdetailed fur\", \"append_text\": \"\\u2028 \\ufefffox\", \"clip\": [\"4\", 1]}}, \"118\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"119\", 0]}}, \"120\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": \"\\u2028 snow \", \"prepend_text\": \" \\ud83d\\ude00\", \"append_text\": \"fox\\u3000\", \"clip\": [\"4\", 1]}}, \"117\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"118\", 0], \"conditioning_2\": [\"120\", 0]}}, \"124\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\na,\", \"clip\": [\"4\", 1]}}, \"123\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"124\", 0]}}, \"122\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"123\", 0]}}, \"121\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"122\", 0]}}, \"116\": {\"class_type\": \"DetailerForEach\", \"inputs\": {\"image\": [\"115\", 0], \"model\": [\"4\", 0], \"positive\": [\"117\", 0], \"negative\": [\"121\", 0]}}, \"125\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"116\", 0]}}, \"126\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"114\", 0]}}, \"131\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u3000\\u0085\", \"clip\": [\"4\", 1]}}, \"130\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"131\", 0]}}, \"133\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u3000fox\\t\", \"clip\": [\"4\", 1]}}, \"132\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"133\", 0]}}, \"129\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": false, \"on_true\": [\"130\", 0], \"on_false\": [\"132\", 0]}}, \"128\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"129\", 0]}}, \"134\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"\\tcaf\\u00e9a,\"}}, \"127\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"126\", 0], \"model\": [\"4\", 0], \"positive\": [\"128\", 0], \"negative\": [\"134\", 0]}}, \"139\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\tdetailed fur\", \"clip\": [\"4\", 1]}}, \"138\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"139\", 0]}}, \"137\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"138\", 0]}}, \"136\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"137\", 0]}}, \"135\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"127\", 0], \"model\": [\"4\", 0], \"positive\": [\"109\", 0], \"negative\": [\"136\", 0]}}, \"140\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"135\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "select-fuzz-0-17", "records": {"parameters": " detailed fur \r\nNegative Template: n\r\nNegative Template: n
Steps:٣, a\r\nNegative prompt: blur
"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Selector branches have different prompts", "reason_code": null, "sampler_id": "110", "state": "ambiguous"}}, "name": "select-fuzz-0-18", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": \"\\u0085detailed fur \", \"prepend_text\": \"caf\\u00e9\\u3000detailed fur\", \"negative_text\": \"\\u3000detailed fur \"}}, \"105\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"\\u001csnow\\u0085\", \"prepend_text\": \"\\u0085\\u2028 \", \"append_text\": \"\\n\\ud83d\\ude00\\t\", \"clip\": [\"4\", 1]}}, \"107\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u3000fox\\u001c\", \"clip\": [\"4\", 1]}}, \"108\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"detailed fur\\u001c\", \"clip\": [\"4\", 1]}}, \"106\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 0], \"on_true\": [\"107\", 0], \"on_false\": [\"108\", 0]}}, \"104\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 1], \"on_true\": [\"105\", 0], \"on_false\": [\"106\", 0]}}, \"103\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"104\", 0]}}, \"102\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"103\", 0]}}, \"109\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"110\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"111\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"109\", 0]}}, \"114\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": \" detailed fur\\u2028 \", \"prepend_text\": \"\\tcaf\\u00e9\\t\\u732b\", \"append_text\": \"caf\\u00e9\\ufeff\", \"clip\": [\"4\", 1]}}, \"113\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"114\", 0]}}, \"118\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"\\u2028 a,\\u2028 \"}}, \"117\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"118\", 0]}}, \"116\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"117\", 0], \"prepend_text\": \"\\u3000\\ud83d\\ude00\\n\", \"append_text\": \"\\u3000a,\\u3000\", \"clip\": [\"4\", 1]}}, \"119\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u3000detailed fur \", \"negative_text\": \"\\tcaf\\u00e9\", \"prepend_text\": \"\\u2028 snow\\n\", \"append_text\": \"\\u2028 snow\\u001c\"}}, \"115\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": true, \"on_true\": [\"116\", 0], \"on_false\": [\"119\", 1]}}, \"112\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"111\", 0], \"model\": [\"4\", 0], \"positive\": [\"113\", 0], \"negative\": [\"115\", 0]}}, \"122\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"\\ufeffa,\\u001c\", \"prepend_text\": \"\\ncaf\\u00e9\\u2028 \", \"append_text\": \" caf\\u00e9\"}}, \"121\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"122\", 0], \"text_l\": \"\\u2028 detailed fur\\n\"}}, \"120\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"112\", 0], \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"121\", 0], \"wildcard\": \"\"}}, \"123\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"120\", 0]}}, \"124\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"110\", 0]}}, \"125\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"124\", 0]}}, \"126\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"124\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-19", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_c\": \"\\t \", \"clean_whitespace\": \"false\"}}, \"102\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \"\\u2028 \\u2028 \", \"string_b\": [\"103\", 0], \"delimiter\": \", \"}}, \"101\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"102\", 0], \"clip\": [\"4\", 1]}}, \"104\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"\\nsnow\\u001csnow\", \"prepend_text\": \"\\tfox\\t\", \"append_text\": \"\\nfox\", \"clip\": [\"4\", 1]}}, \"105\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"104\", 0], \"latent_image\": [\"5\", 0]}}, \"108\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"\\u001c\\ud83d\\ude00\\na,\"}}, \"107\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"108\", 0]}}, \"106\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": [\"107\", 0], \"prepend_text\": \"\\u2028 a, detailed fur\", \"negative_text\": \"\\na,\\u3000\"}}, \"111\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \"\\tsnow\\u3000\", \"prepend_text\": \"\\ufeff\\u732b\\u0085\", \"negative_text\": \"\\u0085detailed fur\\u001c\"}}, \"110\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"111\", 0]}}, \"109\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"110\", 0], \"conditioning_2\": [\"110\", 0]}}, \"112\": {\"class_type\": \"KSamplerAdvanced\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"106\", 0], \"negative\": [\"109\", 0], \"latent_image\": [\"5\", 0]}}, \"113\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \"\\ta,\\n\", \"prepend_text\": \"\\u0085\\ndetailed fur\", \"negative_text\": \"\\u3000\\u2028 \"}}, \"114\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"113\", 0], \"latent_image\": [\"5\", 0]}}, \"115\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"105\", 0]}}, \"119\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\ufeffa,\\u3000\", \"text_l\": \"\\ufeffa,\\u3000\"}}, \"120\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"detailed fur a,\", \"prepend_text\": \"\\tsnow\\t\", \"append_text\": \"\\u0085fox\\n\", \"clip\": [\"4\", 1]}}, \"118\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": true, \"on_true\": [\"119\", 0], \"on_false\": [\"120\", 0]}}, \"117\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"118\", 0]}}, \"121\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"\\nsnow\\ufefffox\", \"prepend_text\": \"\\u2028 detailed fur \", \"append_text\": \"\\n\\u732b\\u3000\", \"clip\": [\"4\", 1]}}, \"116\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"115\", 0], \"model\": [\"4\", 0], \"positive\": [\"117\", 0], \"negative\": [\"121\", 0]}}, \"126\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"\\u0085\\t\"}}, \"125\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"126\", 0]}}, \"124\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": [\"125\", 0], \"inputcount\": 1, \"delimiter\": \" \", \"return_list\": false}}, \"123\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"124\", 0], \"clip\": [\"4\", 1]}}, \"127\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\tcaf\\u00e9\\u3000a,\", \"text_l\": \"\\tcaf\\u00e9\\u3000a,\"}}, \"122\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"116\", 0], \"model\": [\"4\", 0], \"positive\": [\"123\", 0], \"negative\": [\"127\", 0]}}, \"128\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"122\", 0]}}, \"129\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"112\", 0]}}, \"130\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"129\", 0]}}, \"131\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"129\", 0]}}, \"132\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"129\", 0]}}, \"133\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"114\", 0]}}, \"137\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\ufeff\\u732b\\u0085\", \"strip_newlines\": false}}, \"136\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"137\", 0]}}, \"135\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": [\"136\", 0], \"prepend_text\": \"\", \"append_text\": \"\\ufeff\\u732b\\u3000\", \"clip\": [\"4\", 1]}}, \"140\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \"\\u0085\\t\", \"prepend_text\": \"\\u2028 snow\\nsnow\", \"negative_text\": \"caf\\u00e9\\u0085caf\\u00e9\"}}, \"139\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"140\", 0]}}, \"138\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"139\", 0]}}, \"134\": {\"class_type\": \"UltimateSDUpscaleNoUpscale\", \"inputs\": {\"model\": [\"4\", 0], \"positive\": [\"135\", 0], \"negative\": [\"138\", 0], \"upscaled_image\": [\"133\", 0]}}, \"141\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"134\", 0]}}, \"142\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"134\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Sampler stages have different prompts", "reason_code": "multistage-differs", "sampler_id": "111", "state": "ambiguous"}}, "name": "select-fuzz-0-20", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"103\": {\"records\": [{\"text\": \"\\t\\n\", \"negative_text\": \"\\u732b\\ufeff\", \"prepend_text\": \"\\u732bcaf\\u00e9\", \"append_text\": \"\", \"positive_text\": \"\\u2028 detailed fur\\u001c\", \"negative_effective_text\": \"\\u732b\\ufeff\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\t\\n\", \"negative_text\": \"猫\", \"prepend_text\": \"…猫café\", \"append_text\": \"\\n\\n\"}}, \"104\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\ta,
 \"}}, \"102\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": false, \"on_true\": [\"103\", 1], \"on_false\": [\"104\", 0]}}, \"105\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \"… snow\", \"prepend_text\": \"\\tdetailed fur\", \"negative_text\": \"\\na,猫\"}}, \"101\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": false, \"on_true\": [\"102\", 0], \"on_false\": [\"105\", 0]}}, \"108\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"
 snow \", \"prepend_text\": \"fox\\n\", \"append_text\": \"…😀 \"}}, \"107\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": [\"108\", 0]}}, \"106\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"107\", 0], \"prepend_text\": \"\\nfox
 \", \"append_text\": \"😀 \", \"clip\": [\"4\", 1]}}, \"109\": {\"class_type\": \"KSamplerAdvanced\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"106\", 0], \"latent_image\": [\"5\", 0]}}, \"110\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"109\", 0]}}, \"115\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \" fox\\t\", \"clip\": [\"4\", 1]}}, \"116\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"snow
 \", \"clip\": [\"4\", 1]}}, \"114\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_2\": [\"116\", 0]}}, \"113\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"114\", 0]}}, \"112\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"113\", 0]}}, \"111\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"110\", 0], \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"112\", 0]}}, \"117\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"111\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Cyclic latent ancestry", "reason_code": "malformed", "sampler_id": "108", "state": "unresolved"}}, "name": "select-fuzz-0-21", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\u001c\\ud83d\\ude00\\u3000\\ud83d\\ude00\", \"strip_newlines\": false}}, \"101\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"102\", 0], \"text_l\": \"\"}}, \"106\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\u0085snow\\u2028 \", \"strip_newlines\": true}}, \"107\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\u3000\\u732b\\ufeff\", \"strip_newlines\": false}}, \"105\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_a\": [\"106\", 0], \"text_c\": [\"107\", 0], \"clean_whitespace\": true}}, \"104\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \" detailed fur snow\", \"string_2\": [\"105\", 0], \"inputcount\": 3, \"delimiter\": \",\", \"return_list\": false}}, \"103\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": [\"104\", 0], \"prepend_text\": \"\\u2028 \\u732b\\n\", \"negative_text\": \"\\u0085caf\\u00e9\\u001c\"}}, \"108\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"108\", 0]}}, \"109\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"108\", 0]}}, \"110\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"109\", 0]}}, \"111\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"109\", 0]}}, \"112\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"109\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-22", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"110\": {\"records\": [{\"text\": \"\\n\\u3000snow\", \"negative_text\": \"\\u001csnow\\t\", \"prepend_text\": \"\\ufefffox\", \"append_text\": \"\\u732b\\ufeffdetailed fur\", \"positive_text\": \"caf\\u00e9\\u2028 \", \"negative_effective_text\": \"\\u001csnow\\t\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\ufeffsnow\\u3000\", \"negative_text\": \"\\u3000snow \", \"prepend_text\": \"\\ufeffa,\\tdetailed fur\", \"append_text\": \"\\u001cfox\"}}, \"101\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"102\", 1]}}, \"103\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"\\u0085\\ud83d\\ude00\"}}, \"104\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"5\", 0]}}, \"108\": {\"class_type\": \"TextInput\", \"inputs\": {\"string\": \"\\u001ca,\\u2028 \"}}, \"107\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"108\", 0], \"clip\": [\"4\", 1]}}, \"106\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"107\", 0]}}, \"105\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"106\", 0], \"conditioning_2\": [\"106\", 0]}}, \"110\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\n\\u3000snow\", \"negative_text\": \"\\u001csnow\\t\", \"prepend_text\": \"\\ufefffox\\u0085\", \"append_text\": \" \\u732b\\ufeffdetailed fur\"}}, \"114\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\t\\ud83d\\ude00\\u2028 \\u732b\", \"clip\": [\"4\", 1]}}, \"113\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"114\", 0]}}, \"115\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"\\ncaf\\u00e9\\t\", \"prepend_text\": \"\\u2028 \\ud83d\\ude00\", \"append_text\": \"\\nfox\\u3000detailed fur\", \"clip\": [\"4\", 1]}}, \"112\": {\"class_type\": \"ConditioningCombine\"}, \"111\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"112\", 0]}}, \"109\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": false, \"on_true\": [\"110\", 0], \"on_false\": [\"111\", 0]}}, \"116\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"105\", 0], \"negative\": [\"109\", 0], \"latent_image\": [\"5\", 0]}}, \"117\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"105\", 0], \"negative\": [\"109\", 0], \"latent_image\": [\"5\", 0]}}, \"118\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"104\", 0]}}, \"119\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"118\", 0]}}, \"120\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"116\", 0]}}, \"124\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"\\u001cdetailed fur\\u0085\", \"prepend_text\": \"\\u001csnow\\t\", \"append_text\": \"\\nfox\"}}, \"123\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": [\"124\", 0], \"strip_newlines\": true}}, \"122\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"123\", 0], \"clip\": [\"4\", 1]}}, \"121\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"120\", 0], \"model\": [\"4\", 0], \"positive\": [\"105\", 0], \"negative\": [\"122\", 0]}}, \"127\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"caf\\u00e9\\u0085\"}}, \"126\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"127\", 0]}}, \"125\": {\"class_type\": \"DetailerForEach\", \"inputs\": {\"image\": [\"121\", 0], \"model\": [\"4\", 0], \"positive\": [\"105\", 0], \"negative\": [\"126\", 0]}}, \"128\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"125\", 0]}}, \"129\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"117\", 0]}}, \"133\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": \"\\ufeff\\ud83d\\ude00\\ufeff\\ud83d\\ude00\", \"prepend_text\": \"\\u0085a,\\u3000\", \"append_text\": \"\\u3000\\ud83d\\ude00\\n\\u732b\", \"clip\": [\"4\", 1]}}, \"132\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"133\", 0]}}, \"131\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"132\", 0]}}, \"134\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u2028 caf\\u00e9\\u2028 \", \"negative_text\": \"\\u2028 \\u0085\\ud83d\\ude00\", \"prepend_text\": \"\\ufefffox\\n\", \"append_text\": \"\\ufeffsnowsnow\"}}, \"130\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"129\", 0], \"model\": [\"4\", 0], \"positive\": [\"131\", 0], \"negative\": [\"134\", 0]}}, \"135\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"130\", 0]}}, \"136\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"130\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "execution", "status": "resolved", "text": "😀\t"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "fox snowfox \u001csnow snow snow \tsnow  fox 😀"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "118", "state": "resolved"}}, "name": "select-fuzz-0-23", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"117\": {\"records\": [{\"text\": \"\\ufeffcaf\\u00e9\\u2028 \", \"negative_text\": \"\\t\\u732b\\t\", \"prepend_text\": \"\\ufeff\\ud83d\\ude00\\u001cdetailed fur\", \"append_text\": \"fox\", \"positive_text\": \"\\ud83d\\ude00\\t\", \"negative_effective_text\": \"\\t\\u732b\\t\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"105\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"\\u0085snow\\u3000\"}}, \"104\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"105\", 0]}}, \"106\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_c\": \"\\u0085\\u732b\\u3000caf\\u00e9\", \"clean_whitespace\": \"true\"}}, \"103\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_b\": [\"104\", 0], \"text_d\": [\"106\", 0], \"clean_whitespace\": \"false\"}}, \"102\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": [\"103\", 0]}}, \"101\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"102\", 0], \"clip\": [\"4\", 1]}}, \"109\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\nfox\", \"negative_text\": \"caf\\u00e9\\u2028 \\ud83d\\ude00\", \"prepend_text\": \"\\u0085\\u732b\", \"append_text\": \"\\ta,\\u001c\"}}, \"108\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"109\", 1]}}, \"107\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"108\", 0]}}, \"110\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"107\", 0], \"latent_image\": [\"111\", 0]}}, \"111\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"107\", 0], \"latent_image\": [\"5\", 0]}}, \"115\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"\\u001csnow\\u3000snow\", \"prepend_text\": \"\\u0085snowfox\", \"append_text\": \"\\tsnow\\u3000\"}}, \"116\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": \"\\tsnow\\u3000\"}}, \"114\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": [\"115\", 0], \"string_b\": [\"116\", 0], \"delimiter\": \" \"}}, \"113\": {\"class_type\": \"StringConstant\", \"inputs\": {\"string\": [\"114\", 0]}}, \"112\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": [\"113\", 0], \"prepend_text\": \"\\nfox\\n\", \"append_text\": \"fox\\u3000\\ud83d\\ude00\", \"clip\": [\"4\", 1]}}, \"117\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\ufeffcaf\\u00e9\\u2028 \", \"negative_text\": \"\\t\\u732b\\t\", \"prepend_text\": \"\\ufeff\\ud83d\\ude00\\u001cdetailed fur\", \"append_text\": \"fox\\u2028 \"}}, \"118\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"112\", 0], \"negative\": [\"117\", 0], \"latent_image\": [\"5\", 0]}}, \"119\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"110\", 0]}}, \"120\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"119\", 0]}}, \"121\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"111\", 0]}}, \"122\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"121\", 0]}}, \"123\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"118\", 0]}}, \"124\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"123\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (PromptSearchList).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt is chosen at run time (PromptSearchList).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "PromptSearchList", "id": "114"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "121", "state": "unresolved"}}, "name": "select-fuzz-0-24", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"101\": {\"records\": [{\"text\": \" a,\\ufeff\", \"negative_text\": \"\\u3000\\u2028 \", \"prepend_text\": \"\\u732b\", \"append_text\": \"a,\", \"positive_text\": \"detailed fur \", \"negative_effective_text\": \"\\u3000\\u2028 \"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \" a,\\ufeff\", \"negative_text\": \"\\u3000\\u2028 \", \"prepend_text\": \" \\u732b\\t\", \"append_text\": \"\\u2028 a,\\t\"}}, \"105\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\u2028 fox\\u3000\", \"strip_newlines\": false}}, \"104\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": [\"105\", 0], \"prepend_text\": \"\\u0085fox\\n\", \"append_text\": \"\\ufeffsnow\\u0085\"}}, \"103\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"104\", 0], \"prepend_text\": \"\\nfox\\u2028 \", \"append_text\": \"a,\", \"clip\": [\"4\", 1]}}, \"108\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \"\\u3000fox\\n\", \"prepend_text\": \"\\ufeffa,\\t\", \"negative_text\": \"\\ufeffcaf\\u00e9\\u3000\"}}, \"109\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"\\nfox\\ufeff\"}}, \"107\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 0], \"on_true\": [\"108\", 0], \"on_false\": [\"109\", 0]}}, \"106\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"107\", 0]}}, \"102\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 1], \"on_true\": [\"103\", 0], \"on_false\": [\"106\", 0]}}, \"110\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"114\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\u2028 detailed fur\\u3000detailed fur\"}}, \"113\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"114\", 0]}}, \"117\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\n\\ud83d\\ude00\\n\", \"clip\": [\"4\", 1]}}, \"116\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"117\", 0]}}, \"119\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\na,\\t\", \"clip\": [\"4\", 1]}}, \"120\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\t\\ud83d\\ude00\\u2028 snow\", \"clip\": [\"4\", 1]}}, \"118\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 1], \"on_true\": [\"119\", 0], \"on_false\": [\"120\", 0]}}, \"115\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"116\", 0], \"conditioning_2\": [\"118\", 0]}}, \"112\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 1], \"on_true\": [\"113\", 0], \"on_false\": [\"115\", 0]}}, \"111\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"112\", 0]}}, \"121\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"111\", 0], \"latent_image\": [\"5\", 0]}}, \"125\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\u2028 \\n\\ud83d\\ude00\", \"text_l\": \"\\u2028 \\n\\ud83d\\ude00\"}}, \"127\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u0085fox\\u732b\", \"clip\": [\"4\", 1]}}, \"128\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\t \\ud83d\\ude00\", \"clip\": [\"4\", 1]}}, \"126\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 1], \"on_true\": [\"127\", 0], \"on_false\": [\"128\", 0]}}, \"124\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": false, \"on_true\": [\"125\", 0], \"on_false\": [\"126\", 0]}}, \"123\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"124\", 0]}}, \"122\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"123\", 0]}}, \"132\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"\\u001cdetailed fur\\ufeff\", \"string_3\": \" snow\\u2028 \", \"inputcount\": 4, \"delimiter\": \",\", \"return_list\": false}}, \"131\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"132\", 0]}}, \"130\": {\"class_type\": \"StringConstant\", \"inputs\": {\"string\": [\"131\", 0]}}, \"129\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"130\", 0], \"prepend_text\": \" \\u732bsnow\", \"append_text\": \"\\u001csnow\\u3000\", \"clip\": [\"4\", 1]}}, \"133\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"122\", 0], \"negative\": [\"129\", 0], \"latent_image\": [\"5\", 0]}}, \"134\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"110\", 0]}}, \"139\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u001c\\u001c\\ud83d\\ude00\", \"clip\": [\"4\", 1]}}, \"138\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"139\", 0]}}, \"137\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"138\", 0]}}, \"136\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"137\", 0]}}, \"135\": {\"class_type\": \"DetailerForEach\", \"inputs\": {\"image\": [\"134\", 0], \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"136\", 0], \"wildcard\": [\"4\", 0]}}, \"140\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"135\", 0]}}, \"141\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"121\", 0]}}, \"142\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"141\", 0]}}, \"143\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"133\", 0]}}, \"144\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"143\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (CLIPTextEncodeSDXL).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (CLIPTextEncodeSDXL).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "CLIPTextEncodeSDXL", "id": "102"}, "reason": "Encoder parts have different texts", "reason_code": "composite", "sampler_id": "112", "state": "unresolved"}}, "name": "select-fuzz-0-25", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"109\": {\"records\": [{\"text\": \" caf\\u00e9\\u3000snow\", \"negative_text\": \"\\u2028 caf\\u00e9\\ufeff\\ud83d\\ude00\", \"prepend_text\": \"\\u732b\", \"append_text\": \"\", \"positive_text\": \"\\u3000detailed fur\\u2028 caf\\u00e9\", \"negative_effective_text\": \"\\u2028 caf\\u00e9\\ufeff\\ud83d\\ude00\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"105\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"\\ncafé\"}}, \"104\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"105\", 0]}}, \"103\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"\\t猫\", \"string_2\": [\"104\", 0], \"inputcount\": 2, \"delimiter\": \",\", \"return_list\": false}}, \"102\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"103\", 0], \"text_l\": \"\\u001c猫 \"}}, \"101\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"102\", 0], \"conditioning_2\": [\"102\", 0]}}, \"109\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \" café snow\", \"negative_text\": \"
 café😀\", \"prepend_text\": \"
 猫\\t\", \"append_text\": \"\\u001c…\"}}, \"108\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"109\", 1], \"conditioning_2\": [\"109\", 1]}}, \"107\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"108\", 0]}}, \"106\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"107\", 0], \"conditioning_2\": [\"107\", 0]}}, \"110\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"106\", 0], \"latent_image\": [\"5\", 0]}}, \"111\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"110\", 0]}}, \"113\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \" \\t猫\", \"negative_text\": \"\\nsnow \", \"prepend_text\": \"
 猫
 \", \"append_text\": \" 猫 \"}}, \"112\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"111\", 0], \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"113\", 1]}}, \"114\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"112\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-26", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"112\": {\"records\": [{\"text\": \"\\ufeffa,\\t\", \"negative_text\": \"\\u3000\\ud83d\\ude00\\ncaf\\u00e9\", \"prepend_text\": \"\", \"append_text\": \"fox\", \"positive_text\": \"\\u0085snow \", \"negative_effective_text\": \"\\u3000\\ud83d\\ude00\\ncaf\\u00e9\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\n\\n\"}}, \"102\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"103\", 0]}}, \"105\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \" \", \"clip\": [\"4\", 1]}}, \"104\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"105\", 0]}}, \"101\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 0], \"on_true\": [\"102\", 0], \"on_false\": [\"104\", 0]}}, \"109\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"…snow\\n\", \"prepend_text\": \" 猫\", \"append_text\": \"\\ta,\\ta,\"}}, \"108\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": [\"109\", 0], \"inputcount\": 1, \"delimiter\": \",\", \"return_list\": false}}, \"107\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"108\", 0], \"prepend_text\": \" a,\\n😀\", \"append_text\": \"
 detailed fur \", \"clip\": [\"4\", 1]}}, \"106\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"107\", 0], \"conditioning_2\": [\"107\", 0]}}, \"110\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"106\", 0], \"latent_image\": [\"5\", 0]}}, \"112\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"a,\\t\", \"negative_text\": \" 😀\\ncafé\", \"prepend_text\": \"\\t
 \", \"append_text\": \"\\tfox\\u001c\"}}, \"111\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"112\", 0]}}, \"113\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"😀\\u001c\"}}, \"114\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"111\", 0], \"negative\": [\"113\", 0], \"latent_image\": [\"5\", 0]}}, \"115\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"110\", 0]}}, \"116\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"115\", 0]}}, \"117\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"114\", 0]}}, \"119\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"猫\\t\"}}, \"120\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\tsnow 😀\"}}, \"118\": {\"class_type\": \"DetailerForEach\", \"inputs\": {\"image\": [\"117\", 0], \"model\": [\"4\", 0], \"positive\": [\"119\", 0], \"negative\": [\"120\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-27", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"127\": {\"records\": [{\"text\": \"\\u2028 \\ud83d\\ude00 \\ud83d\\ude00\", \"negative_text\": \"\\u732b \", \"prepend_text\": \"\\ufeffcaf\\u00e9\", \"append_text\": \"\", \"positive_text\": \" snow\\u001cdetailed fur\", \"negative_effective_text\": \"\\u732b \"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": \"\\u001cdetailed fur \", \"prepend_text\": \"\\u001c猫\\n\", \"negative_text\": \"\\t猫
 a,\"}}, \"101\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"102\", 0]}}, \"103\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"latent_image\": [\"5\", 0]}}, \"104\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"…detailed fur\\n\", \"negative_text\": \"\\u001c猫\\u001c\", \"prepend_text\": \"\\u001csnow…fox\", \"append_text\": \" \"}}, \"106\": {\"class_type\": \"StringConstantMultiline\"}, \"105\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"106\", 0], \"prepend_text\": \"\\ndetailed fur\", \"append_text\": \"\\t\\u001c\", \"clip\": [\"4\", 1]}}, \"107\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"104\", 0], \"negative\": [\"105\", 0], \"latent_image\": [\"5\", 0]}}, \"108\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"103\", 0]}}, \"112\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"…detailed fur\\t\", \"strip_newlines\": true}}, \"111\": {\"class_type\": \"TextInput\", \"inputs\": {\"text\": [\"112\", 0]}}, \"110\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"111\", 0], \"text_l\": [\"111\", 0]}}, \"115\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \" detailed fur…\"}}, \"114\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"115\", 0]}}, \"113\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": [\"114\", 0], \"prepend_text\": \" \\tdetailed fur\", \"negative_text\": \"猫 \"}}, \"109\": {\"class_type\": \"UltimateSDUpscaleNoUpscale\", \"inputs\": {\"model\": [\"4\", 0], \"positive\": [\"110\", 0], \"negative\": [\"113\", 0], \"upscaled_image\": [\"108\", 0]}}, \"120\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u001c😀
 a,\", \"clip\": [\"4\", 1]}}, \"119\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"120\", 0]}}, \"118\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"119\", 0]}}, \"117\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"118\", 0], \"conditioning_2\": [\"118\", 0]}}, \"121\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"…\\n\", \"clip\": [\"4\", 1]}}, \"116\": {\"class_type\": \"DetailerForEach\", \"inputs\": {\"image\": [\"109\", 0], \"model\": [\"4\", 0], \"positive\": [\"117\", 0], \"negative\": [\"121\", 0]}}, \"122\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"116\", 0]}}, \"123\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"107\", 0]}}, \"127\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"
 😀 😀\", \"negative_text\": \"猫 \", \"prepend_text\": \"café\\t\", \"append_text\": \"\\t\"}}, \"129\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a,\\t\", \"clip\": [\"4\", 1]}}, \"128\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"129\", 0]}}, \"126\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"127\", 0], \"conditioning_2\": [\"128\", 0]}}, \"131\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\u001ca,
 \", \"strip_newlines\": false}}, \"130\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"131\", 0], \"clip\": [\"4\", 1]}}, \"125\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": false, \"on_true\": [\"126\", 0], \"on_false\": [\"130\", 0]}}, \"135\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\n…\", \"clip\": [\"4\", 1]}}, \"134\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"135\", 0]}}, \"133\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"134\", 0]}}, \"138\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u001c猫\", \"clip\": [\"4\", 1]}}, \"137\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"138\", 0]}}, \"139\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": \"\\ndetailed fur…\", \"prepend_text\": \" \", \"negative_text\": \"a,猫\"}}, \"136\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 1], \"on_true\": [\"137\", 0], \"on_false\": [\"139\", 0]}}, \"132\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 0], \"on_true\": [\"133\", 0], \"on_false\": [\"136\", 0]}}, \"124\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"123\", 0], \"model\": [\"4\", 0], \"positive\": [\"125\", 0], \"negative\": [\"132\", 0]}}, \"140\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"124\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-28", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"101\": {\"records\": [{\"text\": \"\\u001c\\u732b \", \"negative_text\": \"\\u2028 \\u0085\", \"prepend_text\": \"\\u732b\", \"append_text\": \"\", \"positive_text\": \"snow\\u0085\", \"negative_effective_text\": \"\\u2028 \\u0085\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u001c\\u732b \", \"negative_text\": \"\\u2028 \\u0085\", \"prepend_text\": \"\\u732b\\u001c\", \"append_text\": \"\\u3000\\u2028 \"}}, \"102\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\u001c\\u3000\"}}, \"103\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 1], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"104\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 1], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"105\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 1], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"106\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"103\", 0]}}, \"107\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"104\", 0]}}, \"110\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\u0085fox\\u3000\"}}, \"109\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"110\", 0]}}, \"114\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"\\ndetailed fur\"}}, \"113\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"114\", 0]}}, \"112\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"113\", 0], \"text_l\": [\"113\", 0]}}, \"116\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_a\": \"detailed fur\\u3000detailed fur\", \"text_d\": \"\\ufeff\\ud83d\\ude00\\u2028 \", \"text_c\": \"\\tsnow \", \"clean_whitespace\": true}}, \"115\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": [\"116\", 0], \"prepend_text\": \"\\u001c\\ud83d\\ude00\\u001c\", \"negative_text\": \"\\u001ca,\\ufeff\\ud83d\\ude00\"}}, \"111\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"112\", 0], \"conditioning_2\": [\"115\", 0]}}, \"108\": {\"class_type\": \"UltimateSDUpscaleNoUpscale\", \"inputs\": {\"model\": [\"4\", 0], \"positive\": [\"109\", 0], \"negative\": [\"111\", 0], \"upscaled_image\": [\"107\", 0]}}, \"118\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u3000snow\\u3000snow\", \"negative_text\": \"\\u0085fox\\u001c\", \"prepend_text\": \"foxcaf\\u00e9\", \"append_text\": \"\\ufeffsnow\\tcaf\\u00e9\"}}, \"117\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"108\", 0], \"model\": [\"4\", 0], \"positive\": [\"101\", 1], \"negative\": [\"118\", 0]}}, \"119\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"117\", 0]}}, \"120\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"105\", 0]}}, \"122\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"\\ufeffcaf\\u00e9\\u2028 a,\", \"prepend_text\": \"\\u3000caf\\u00e9 \", \"append_text\": \"\\u732b \", \"clip\": [\"4\", 1]}}, \"121\": {\"class_type\": \"UltimateSDUpscaleNoUpscale\", \"inputs\": {\"model\": [\"4\", 0], \"positive\": [\"101\", 1], \"negative\": [\"122\", 0], \"upscaled_image\": [\"120\", 0]}}, \"123\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"121\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-29", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\u3000a,\\u001c\", \"text_l\": \"\\u3000a,\\u001c\"}}, \"101\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"102\", 0]}}, \"103\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\ncaf\\u00e9\\t\", \"clip\": [\"4\", 1]}}, \"104\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"105\", 0]}}, \"105\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"5\", 0]}}, \"106\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u0085a,\\n\", \"clip\": [\"4\", 1]}}, \"109\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \" \\u732b\\u0085\"}}, \"108\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"109\", 0]}}, \"107\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": [\"108\", 0], \"prepend_text\": \" \\ud83d\\ude00\\u3000\", \"negative_text\": \"a,\\n\"}}, \"110\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"106\", 0], \"negative\": [\"107\", 0], \"latent_image\": [\"104\", 0]}}, \"111\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"104\", 0]}}, \"115\": {\"class_type\": \"StringConstant\", \"inputs\": {\"text\": \"\\ncaf\\u00e9\\u001c\"}}, \"114\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": [\"115\", 0], \"inputcount\": 1, \"delimiter\": \" \", \"return_list\": false}}, \"113\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"114\", 0], \"clip\": [\"4\", 1]}}, \"112\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"111\", 0], \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"113\", 0]}}, \"116\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"105\", 0]}}, \"117\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"116\", 0]}}, \"121\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\u732b\\ufeff\", \"strip_newlines\": false}}, \"120\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": [\"121\", 0], \"prepend_text\": \"\\u0085a,\\u0085fox\", \"append_text\": \"\\u3000a,\\t\", \"clip\": [\"4\", 1]}}, \"123\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"\\u732b\\ufeff\"}}, \"122\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"123\", 0]}}, \"119\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": false, \"on_true\": [\"120\", 0], \"on_false\": [\"122\", 0]}}, \"118\": {\"class_type\": \"DetailerForEach\", \"inputs\": {\"image\": [\"116\", 0], \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"119\", 0]}}, \"124\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"118\", 0]}}, \"125\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"110\", 0]}}, \"126\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"125\", 0]}}, \"127\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"125\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (JoinStringMulti).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt is chosen at run time (JoinStringMulti).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "JoinStringMulti", "id": "104"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "107", "state": "unresolved"}}, "name": "select-fuzz-0-30", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"\\u001c😀\\u001c\", \"string_2\": \"猫 detailed fur\", \"string_3\": \"detailed fur
 😀\", \"inputcount\": 3, \"delimiter\": \" \", \"return_list\": true}}, \"103\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"
 detailed fur…\", \"string_2\": [\"104\", 0], \"inputcount\": 2, \"delimiter\": \",\", \"return_list\": false}}, \"102\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"103\", 0], \"text_l\": [\"103\", 0]}}, \"101\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"102\", 0]}}, \"106\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": \" snow\\n\"}}, \"105\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": [\"106\", 0], \"prepend_text\": \"\\t…\", \"negative_text\": \"\\t\\u001c\"}}, \"107\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"105\", 0], \"latent_image\": [\"5\", 0]}}, \"108\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"107\", 0]}}, \"109\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"108\", 0]}}, \"110\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"108\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-31", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"102\": {\"records\": [{\"text\": \"\\tsnow\\u0085fox\", \"negative_text\": \"\\ufeff \", \"prepend_text\": \"caf\\u00e9\\ufeff\", \"append_text\": \"snow\", \"positive_text\": \"\\ufeffa,\", \"negative_effective_text\": \"\\ufeff \"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\tsnow…fox\", \"negative_text\": \" \", \"prepend_text\": \"café\", \"append_text\": \"\\u001csnow\\u001c\"}}, \"101\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"102\", 0]}}, \"103\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\u001ca,\\t\", \"text_l\": \"\"}}, \"104\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"104\", 0]}}, \"107\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\t…\", \"strip_newlines\": false}}, \"106\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_b\": [\"107\", 0], \"text_d\": \"\\t\\t\", \"clean_whitespace\": \"true\"}}, \"105\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"106\", 0], \"prepend_text\": \"café \", \"append_text\": \"a,\\ta,\", \"clip\": [\"4\", 1]}}, \"109\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"…😀…\", \"text_l\": \"\\n😀\\tcafé\"}}, \"112\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"detailed fur \", \"inputcount\": 1, \"delimiter\": \",\", \"return_list\": false}}, \"111\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"112\", 0], \"text_l\": \"snow\\t\"}}, \"110\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"111\", 0]}}, \"108\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": true, \"on_true\": [\"109\", 0], \"on_false\": [\"110\", 0]}}, \"113\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"105\", 0], \"negative\": [\"108\", 0], \"latent_image\": [\"5\", 0]}}, \"114\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"104\", 0]}}, \"118\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"\\tdetailed fur\\u001c\", \"string_2\": \"\\tsnow\\n\", \"inputcount\": 3, \"delimiter\": \",\", \"return_list\": false}}, \"117\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": [\"118\", 0], \"prepend_text\": \"snow…\", \"append_text\": \"\\u001ccafé\", \"clip\": [\"4\", 1]}}, \"116\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"117\", 0], \"conditioning_2\": [\"117\", 0]}}, \"115\": {\"class_type\": \"DetailerForEach\", \"inputs\": {\"image\": [\"114\", 0], \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"116\", 0], \"wildcard\": \"x\"}}, \"119\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"115\", 0]}}, \"120\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"113\", 0]}}, \"121\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"120\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-32", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"102\": {\"records\": [{\"text\": \"\\u001cfox\\tsnow\", \"negative_text\": \"\\u001c\\t\", \"prepend_text\": \"detailed fur\", \"append_text\": \"\\u732b\", \"positive_text\": \"\\tfox\", \"negative_effective_text\": \"\\u001c\\t\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u001cfox\\tsnow\", \"negative_text\": \"\\u001c\\t\", \"prepend_text\": \"
 detailed fur \", \"append_text\": \"…猫…\"}}, \"103\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\u001c猫 \", \"text_l\": \"\\ta, \"}}, \"101\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 1], \"on_true\": [\"102\", 1], \"on_false\": [\"103\", 0]}}, \"104\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"latent_image\": [\"5\", 0]}}, \"108\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"fox 猫\", \"clip\": [\"4\", 1]}}, \"107\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"108\", 0]}}, \"106\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"107\", 0]}}, \"105\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"106\", 0]}}, \"109\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"…😀\\u001c\"}}, \"110\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"105\", 0], \"negative\": [\"109\", 0], \"latent_image\": [\"5\", 0]}}, \"111\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"104\", 0]}}, \"112\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"111\", 0]}}, \"113\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"111\", 0]}}, \"114\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"110\", 0]}}, \"115\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"114\", 0]}}, \"116\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"114\", 0]}}, \"117\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"114\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-33", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"😀 \", \"clip\": [\"4\", 1]}}, \"102\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\t\\n\"}}, \"103\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"107\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_d\": \"\\ndetailed fur\\tfox\", \"text_a\": \"
 fox \", \"text_b\": \" café\\t\", \"clean_whitespace\": true}}, \"106\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": [\"107\", 0], \"string_2\": \" \\t\", \"inputcount\": 2, \"delimiter\": \" \", \"return_list\": false}}, \"105\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"106\", 0], \"text_l\": \"\"}}, \"104\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"105\", 0]}}, \"108\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"104\", 0], \"latent_image\": [\"5\", 0]}}, \"109\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"104\", 0], \"latent_image\": [\"5\", 0]}}, \"110\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"103\", 0]}}, \"111\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"110\", 0]}}, \"112\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"110\", 0]}}, \"113\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"108\", 0]}}, \"115\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"猫…\", \"text_l\": \"猫…\"}}, \"116\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"\\u001cfox\", \"prepend_text\": \"…a,\\t\", \"append_text\": \"
 😀café\", \"clip\": [\"4\", 1]}}, \"114\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"113\", 0], \"model\": [\"4\", 0], \"positive\": [\"115\", 0], \"negative\": [\"116\", 0]}}, \"117\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"109\", 0]}}, \"121\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \" café\\u001c\", \"prepend_text\": \"\\ta,\", \"append_text\": \"\\tdetailed furcafé\"}}, \"120\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": [\"121\", 0]}}, \"119\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"120\", 0], \"prepend_text\": \"\\tsnow \", \"append_text\": \"
 
 \", \"clip\": [\"4\", 1]}}, \"118\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"117\", 0], \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"119\", 0]}}, \"122\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"118\", 0]}}, \"123\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"118\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "select-fuzz-0-34", "records": {"parameters": "Negative prompt: blur"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-35", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"102\": {\"records\": [{\"text\": \"\\u001c\\u3000\", \"negative_text\": \"\\n\", \"prepend_text\": \"a,\", \"append_text\": \"\\ud83d\\ude00\\t\\ud83d\\ude00\", \"positive_text\": \" a,\\u3000\\ud83d\\ude00\", \"negative_effective_text\": \"\\n\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"detailed fur\\u0085\\ud83d\\ude00\"}}, \"102\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u001c\\u3000\", \"negative_text\": \"\\n\", \"prepend_text\": \"\\u3000a,\\n\", \"append_text\": \"\\u0085\\ud83d\\ude00\\t\\ud83d\\ude00\"}}, \"103\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"104\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"105\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"103\", 0]}}, \"106\": {\"class_type\": \"PreviewAny\"}, \"107\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"104\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-36", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_b\": \"\\u001csnow\\t\", \"text_c\": \"
 fox…\", \"clean_whitespace\": true}}, \"105\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \" a, \", \"inputcount\": 1, \"delimiter\": \",\", \"return_list\": false}}, \"103\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_a\": \" fox\", \"text_b\": [\"104\", 0], \"text_c\": [\"105\", 0], \"clean_whitespace\": \"false\"}}, \"102\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"103\", 0], \"text_l\": \"\\u001ccafé…fox\"}}, \"101\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"102\", 0]}}, \"107\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": \"café\", \"prepend_text\": \"fox detailed fur\", \"append_text\": \"\\t猫
 fox\", \"clip\": [\"4\", 1]}}, \"106\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"107\", 0]}}, \"108\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"106\", 0], \"latent_image\": [\"5\", 0]}}, \"112\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": \"fox\\n\"}}, \"111\": {\"class_type\": \"StringConstant\", \"inputs\": {\"text\": [\"112\", 0]}}, \"110\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": [\"111\", 0], \"prepend_text\": \"\\t猫\\nsnow\", \"append_text\": \"\\u001ca,…\", \"clip\": [\"4\", 1]}}, \"109\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"110\", 0]}}, \"115\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": \" snowdetailed fur\", \"prepend_text\": \"\\ndetailed fur \", \"append_text\": \"…fox
 detailed fur\", \"clip\": [\"4\", 1]}}, \"114\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"115\", 0]}}, \"113\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"114\", 0]}}, \"116\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"109\", 0], \"negative\": [\"113\", 0], \"latent_image\": [\"108\", 0]}}, \"117\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"108\", 0]}}, \"118\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"116\", 0]}}, \"120\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\tcafé
 \", \"clip\": [\"4\", 1]}}, \"119\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"118\", 0], \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"120\", 0]}}, \"121\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"119\", 0]}}, \"122\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"119\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-37", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \"\\na,\\n\\u732b\", \"string_b\": \"\\u3000snow\\u2028 \", \"delimiter\": \" \"}}, \"102\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \" \\ud83d\\ude00\\ufeff\", \"string_2\": [\"103\", 0], \"inputcount\": 2, \"delimiter\": \" \", \"return_list\": false}}, \"101\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": [\"102\", 0], \"prepend_text\": \"\\u0085detailed fur\", \"append_text\": \"detailed fur \\u732b\", \"clip\": [\"4\", 1]}}, \"106\": {\"class_type\": \"TextInput\", \"inputs\": {\"string\": \" \\ud83d\\ude00\\u001c\\ud83d\\ude00\"}}, \"105\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": [\"106\", 0], \"string_b\": \"\\u2028 \\u732b \", \"delimiter\": \"\"}}, \"104\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"105\", 0], \"text_l\": [\"105\", 0]}}, \"107\": {\"class_type\": \"KSamplerAdvanced\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"104\", 0], \"latent_image\": [\"5\", 0]}}, \"110\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"detailed fur \", \"prepend_text\": \"\\tsnow \", \"append_text\": \"\\n\\ud83d\\ude00 \"}}, \"109\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_c\": \"\\ufeffdetailed fur\\ufeff\", \"text_d\": [\"110\", 0], \"clean_whitespace\": true}}, \"108\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"109\", 0], \"text_l\": \"\\u001cfox\"}}, \"114\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \" caf\\u00e9\\u001c\"}}, \"113\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"114\", 0]}}, \"112\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"113\", 0]}}, \"111\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"112\", 0]}}, \"115\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"108\", 0], \"negative\": [\"111\", 0], \"latent_image\": [\"5\", 0]}}, \"116\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"107\", 0]}}, \"117\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"115\", 0]}}, \"121\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \" snow\\ufeff\", \"strip_newlines\": false}}, \"120\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"121\", 0], \"text_l\": [\"121\", 0]}}, \"123\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\nfox\\u3000a,\", \"text_l\": \"\\nfox\\u3000a,\"}}, \"122\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"123\", 0]}}, \"119\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": false, \"on_true\": [\"120\", 0], \"on_false\": [\"122\", 0]}}, \"118\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"117\", 0], \"model\": [\"4\", 0], \"positive\": [\"108\", 0], \"negative\": [\"119\", 0]}}, \"124\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"118\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "execution", "status": "resolved", "text": " a,"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a,a,"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "105", "state": "resolved"}}, "name": "select-fuzz-0-38", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"104\": {\"records\": [{\"text\": \"\\u3000fox\\u2028 \", \"negative_text\": \" a,\", \"prepend_text\": \"caf\\u00e9\", \"append_text\": \"\\ud83d\\ude00\", \"positive_text\": \" \\u732b\\u3000\", \"negative_effective_text\": \" a,\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \"a,\\u0085\"}}, \"102\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"103\", 0]}}, \"101\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": [\"102\", 0], \"prepend_text\": \"\\u0085a,\\u0085\", \"negative_text\": \"\\u3000\\u732b\"}}, \"104\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u3000fox\\u2028 \", \"negative_text\": \" a,\", \"prepend_text\": \" caf\\u00e9\", \"append_text\": \"\\u2028 \\ud83d\\ude00\\n\"}}, \"105\": {\"class_type\": \"KSamplerAdvanced\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"104\", 1], \"latent_image\": [\"5\", 0]}}, \"106\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"105\", 0]}}, \"107\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"106\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "\n猫 fox"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "猫a,caféfox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "103", "state": "resolved"}}, "name": "select-fuzz-0-39", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": \"caféfox\", \"prepend_text\": \"\\n猫a,\", \"negative_text\": \"
 a,\"}}, \"102\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\n猫 fox\", \"clip\": [\"4\", 1]}}, \"103\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"107\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\t😀
 detailed fur\", \"strip_newlines\": true}}, \"106\": {\"class_type\": \"StringConstant\", \"inputs\": {\"text\": [\"107\", 0]}}, \"105\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"106\", 0], \"prepend_text\": \"猫 😀\", \"append_text\": \" a,\\u001c\", \"clip\": [\"4\", 1]}}, \"104\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"105\", 0]}}, \"108\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \"\\u001ca, \", \"prepend_text\": \"…fox \", \"negative_text\": \"…snow
 fox\"}}, \"109\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"104\", 0], \"negative\": [\"108\", 0], \"latent_image\": [\"5\", 0]}}, \"110\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"104\", 0], \"negative\": [\"108\", 0], \"latent_image\": [\"5\", 0]}}, \"111\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"103\", 0]}}, \"112\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"109\", 0]}}, \"113\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"112\", 0]}}, \"114\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"110\", 0]}}, \"115\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"114\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Cyclic latent ancestry", "reason_code": "malformed", "sampler_id": "103", "state": "unresolved"}}, "name": "select-fuzz-0-40", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \"😀 \", \"prepend_text\": \" café \", \"negative_text\": \"…😀\\n\"}}, \"102\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \" snow\\t\", \"prepend_text\": \"\\u001ca,…\", \"negative_text\": \" a,\\t\"}}, \"103\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"103\", 0]}}, \"104\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"103\", 0]}}, \"105\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"104\", 0]}}, \"106\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"104\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-41", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"108\": {\"records\": [{\"text\": \"\\u001csnow\\t\\ud83d\\ude00!\", \"negative_text\": \"\\u3000\\ud83d\\ude00 \", \"prepend_text\": \"\\ud83d\\ude00\\u0085\\u732b\", \"append_text\": \"\\ufefffox\", \"positive_text\": \"\\nsnow\\u2028 a,\", \"negative_effective_text\": \"\\u3000\\ud83d\\ude00 \"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": \"café\\n\", \"prepend_text\": \"\\nsnow\", \"negative_text\": \" fox…fox\"}}, \"103\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"104\", 0], \"conditioning_2\": [\"104\", 0]}}, \"107\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\t \", \"clip\": [\"4\", 1]}}, \"106\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"107\", 0]}}, \"108\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u001csnow\\t😀\", \"negative_text\": \" 😀 \", \"prepend_text\": \"…😀…猫\", \"append_text\": \"fox \"}}, \"105\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"106\", 0], \"conditioning_2\": [\"108\", 0]}}, \"102\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 0], \"on_true\": [\"103\", 0], \"on_false\": [\"105\", 0]}}, \"101\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"102\", 0]}}, \"110\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \"😀\\t😀\", \"prepend_text\": \"…😀\\n\", \"negative_text\": \"snow\\t\"}}, \"109\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"110\", 0]}}, \"111\": {\"class_type\": \"KSamplerAdvanced\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"109\", 0], \"latent_image\": [\"5\", 0]}}, \"112\": {\"class_type\": \"KSamplerAdvanced\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"109\", 0], \"latent_image\": [\"5\", 0]}}, \"116\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\tcafé
 detailed fur\", \"text_l\": \"\\tcafé
 detailed fur\"}}, \"115\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"116\", 0]}}, \"114\": {\"class_type\": null, \"inputs\": {\"value\": [\"115\", 0]}}, \"113\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"114\", 0]}}, \"118\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a,…\", \"clip\": [\"4\", 1]}}, \"117\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"118\", 0]}}, \"119\": {\"class_type\": \"KSamplerAdvanced\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"113\", 0], \"negative\": [\"117\", 0], \"latent_image\": [\"5\", 0]}}, \"120\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"111\", 0]}}, \"125\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\ncafé\\t\", \"clip\": [\"4\", 1]}}, \"124\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"125\", 0]}}, \"126\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"…snow\\t\", \"text_l\": \"…snow\\t\"}}, \"123\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"124\", 0], \"conditioning_2\": [\"126\", 0]}}, \"122\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"123\", 0]}}, \"128\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": \"…café\\u001c\", \"prepend_text\": \"\\ta,\", \"append_text\": \"…a,\\u001c\", \"clip\": [\"4\", 1]}}, \"127\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"128\", 0]}}, \"121\": {\"class_type\": \"UltimateSDUpscaleNoUpscale\", \"inputs\": {\"model\": [\"4\", 0], \"positive\": [\"122\", 0], \"negative\": [\"127\", 0], \"upscaled_image\": [\"120\", 0]}}, \"129\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"121\", 0]}}, \"130\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"112\", 0]}}, \"131\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"130\", 0]}}, \"132\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"130\", 0]}}, \"133\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"119\", 0]}}, \"135\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \" \", \"clip\": [\"4\", 1]}}, \"134\": {\"class_type\": \"DetailerForEach\", \"inputs\": {\"image\": [\"133\", 0], \"model\": [\"4\", 0], \"positive\": [\"113\", 0], \"negative\": [\"135\", 0]}}, \"138\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\ndetailed fur\", \"strip_newlines\": false}}, \"137\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"138\", 0], \"prepend_text\": \" detailed fur café\", \"append_text\": \"\\ta, \", \"clip\": [\"4\", 1]}}, \"141\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"\\t😀\", \"prepend_text\": \"a,\", \"append_text\": \"
 猫\\u001c\", \"clip\": [\"4\", 1]}}, \"140\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"141\", 0]}}, \"139\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"140\", 0]}}, \"136\": {\"class_type\": \"UltimateSDUpscaleNoUpscale\", \"inputs\": {\"model\": [\"4\", 0], \"positive\": [\"137\", 0], \"negative\": [\"139\", 0], \"upscaled_image\": [\"134\", 0]}}, \"142\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"136\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "snow\t"}}, "resolution": {"node": {"class_type": "ConditioningCombine", "id": "117"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "110", "state": "unresolved"}}, "name": "select-fuzz-0-42", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u3000caf\\u00e9\\u001c\", \"clip\": [\"4\", 1]}}, \"101\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"102\", 0]}}, \"103\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\tdetailed fur\\ufeff\", \"negative_text\": \"\\ufeffcaf\\u00e9\", \"prepend_text\": \"\\u3000detailed fur\\u0085\", \"append_text\": \"\\t\\ud83d\\ude00\\ufeff\\u732b\"}}, \"104\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"104\", 0]}}, \"105\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"104\", 0]}}, \"109\": {\"class_type\": \"StringConstant\", \"inputs\": {\"text\": \"\\u001ccaf\\u00e9\\t\"}}, \"108\": {\"class_type\": \"StringConstant\", \"inputs\": {\"text\": [\"109\", 0]}}, \"107\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"108\", 0], \"clip\": [\"4\", 1]}}, \"106\": {\"class_type\": \"UltimateSDUpscaleNoUpscale\", \"inputs\": {\"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"107\", 0], \"upscaled_image\": [\"105\", 0]}}, \"114\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"snow\\t\", \"clip\": [\"4\", 1]}}, \"113\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"114\", 0]}}, \"112\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"113\", 0]}}, \"111\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"112\", 0]}}, \"118\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\tfox\\u001c\", \"clip\": [\"4\", 1]}}, \"119\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \" detailed fur\\u001c\", \"clip\": [\"4\", 1]}}, \"117\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"118\", 0], \"conditioning_2\": [\"119\", 0]}}, \"120\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \" fox\", \"negative_text\": \"\\u3000\\u0085\", \"prepend_text\": \"\\nsnow\\u3000\", \"append_text\": \" \\ud83d\\ude00\\u2028 \"}}, \"116\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"117\", 0], \"conditioning_2\": [\"120\", 1]}}, \"115\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"116\", 0]}}, \"110\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"106\", 0], \"model\": [\"4\", 0], \"positive\": [\"111\", 0], \"negative\": [\"115\", 0]}}, \"121\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"110\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "select-fuzz-0-43", "records": {"parameters": " snow \n\n猫…\n café "}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "absent", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "😀 …snow 猫"}}, "resolution": {"node": null, "reason": "Negative input is absent", "reason_code": null, "sampler_id": "103", "state": "absent"}}, "name": "select-fuzz-0-44", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"\\u0085snow \", \"prepend_text\": \"\\t\\ud83d\\ude00\\n\", \"append_text\": \"\\t\\u732b\\u3000\", \"clip\": [\"4\", 1]}}, \"102\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"latent_image\": [\"5\", 0]}}, \"103\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"latent_image\": [\"5\", 0]}}, \"107\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\ufeff\\u732b\", \"strip_newlines\": true}}, \"106\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"107\", 0]}}, \"105\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"106\", 0]}}, \"104\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"105\", 0], \"text_l\": [\"105\", 0]}}, \"108\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u0085snow\\u001c\", \"clip\": [\"4\", 1]}}, \"109\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"104\", 0], \"negative\": [\"108\", 0], \"latent_image\": [\"5\", 0]}}, \"110\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"102\", 0]}}, \"111\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"110\", 0]}}, \"112\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"103\", 0]}}, \"113\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"112\", 0]}}, \"114\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"109\", 0]}}, \"115\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"114\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "zeroed-conditioning", "status": "resolved", "text": ""}, "positive": {"source": "graph-inferred", "status": "resolved", "text": ", 猫"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "108", "state": "resolved"}}, "name": "select-fuzz-0-45", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\n\\u732b \", \"strip_newlines\": false}}, \"101\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": [\"102\", 0], \"prepend_text\": \" \\ufeff\", \"negative_text\": \"\\u001c\\n\"}}, \"106\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": \"\\u3000\\ud83d\\ude00\\u3000\", \"prepend_text\": \" \\u732b\\u0085\", \"append_text\": \"\\u001cfox\\u001c\", \"clip\": [\"4\", 1]}}, \"105\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"106\", 0]}}, \"104\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"105\", 0]}}, \"103\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"104\", 0]}}, \"107\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"5\", 0]}}, \"108\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"5\", 0]}}, \"109\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"107\", 0]}}, \"110\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"109\", 0]}}, \"111\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"108\", 0]}}, \"112\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"111\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "select-fuzz-0-46", "records": {"parameters": "\u001c… 
 detailed fur Negative prompt: fox…\n"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Expected a typed graph link or text input", "reason_code": "malformed", "sampler_id": "109", "state": "unresolved"}}, "name": "select-fuzz-0-47", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"108\": {\"records\": [{\"text\": \"\\u2028 detailed fur\\t\", \"negative_text\": \"\\tfox\\u001c\", \"prepend_text\": \"\\ufeff\", \"append_text\": \"\\u732b \\u732b\", \"positive_text\": \"\\u001c\\u732b\\u2028 \", \"negative_effective_text\": \"\\tfox\\u001c\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"TextInput\", \"inputs\": {\"string\": \" café \"}}, \"103\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": [\"104\", 0]}}, \"106\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"\\nfox
 \", \"string_4\": \"snow\\nsnow\", \"inputcount\": 4, \"delimiter\": \" \", \"return_list\": false}}, \"105\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": [\"106\", 0], \"strip_newlines\": false}}, \"102\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": [\"103\", 0], \"string_b\": [\"105\", 0], \"delimiter\": \", \"}}, \"101\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"102\", 0], \"clip\": [\"4\", 1]}}, \"108\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"
 detailed fur\\t\", \"negative_text\": \"\\tfox\\u001c\", \"prepend_text\": \" \", \"append_text\": \"
 猫 猫\"}}, \"107\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"108\", 0]}}, \"109\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"107\", 0], \"latent_image\": [\"5\", 0]}}, \"111\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\nsnow\\n\", \"text_l\": \"\\nsnow\\n\"}}, \"110\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"111\", 0]}}, \"113\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"…detailed fur \", \"strip_newlines\": false}}, \"112\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"113\", 0], \"prepend_text\": \"snow\\t\", \"append_text\": \"
 😀\\u001cdetailed fur\", \"clip\": [\"4\", 1]}}, \"114\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"110\", 0], \"negative\": [\"112\", 0], \"latent_image\": [\"5\", 0]}}, \"115\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"109\", 0]}}, \"116\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"114\", 0]}}, \"117\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"116\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-48", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"105\": {\"records\": [{\"text\": \"\\u3000\\tfox\", \"negative_text\": \"\\u2028 detailed fur\\u0085a,\", \"prepend_text\": \"detailed fur\", \"append_text\": \"detailed fur\\ufeff\", \"positive_text\": \"\\nsnow\\u2028 \", \"negative_effective_text\": \"\\u2028 detailed fur\\u0085a,\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\ta, 😀\", \"strip_newlines\": false}}, \"103\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": [\"104\", 0]}}, \"102\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": [\"103\", 0], \"prepend_text\": \"\\nsnow\\u001c猫\", \"negative_text\": \"\\ncafé\"}}, \"101\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"102\", 0], \"conditioning_2\": [\"102\", 0]}}, \"105\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \" \\tfox\", \"negative_text\": \"
 detailed fur…a,\", \"prepend_text\": \"
 detailed fur\", \"append_text\": \"detailed fur\"}}, \"106\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"105\", 0], \"latent_image\": [\"5\", 0]}}, \"107\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"105\", 0], \"latent_image\": [\"107\", 0]}}, \"108\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"106\", 0]}}, \"109\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"108\", 0]}}, \"110\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"108\", 0]}}, \"111\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"107\", 0]}}, \"112\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"111\", 0]}}, \"115\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"
 café\\t\", \"prepend_text\": \"\\n😀
 \", \"append_text\": \"猫\", \"clip\": [\"4\", 1]}}, \"116\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"\\u001c\\u001ca,\"}}, \"114\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 0], \"on_true\": [\"115\", 0], \"on_false\": [\"116\", 0]}}, \"113\": {\"class_type\": \"UltimateSDUpscaleNoUpscale\", \"inputs\": {\"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"114\", 0], \"upscaled_image\": [\"111\", 0]}}, \"117\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"113\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "select-fuzz-0-49", "records": {"parameters": "Negative Template: n Steps: x\r\n"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-50", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"101\": {\"records\": [{\"text\": \"\\u2028 snow\\u3000\", \"negative_text\": \" detailed fur\\ufeff\", \"prepend_text\": \"\", \"append_text\": \"detailed fur\", \"positive_text\": \"\\u001c\\ud83d\\ude00\\t\", \"negative_effective_text\": \" detailed fur\\ufeff\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"
 snow \", \"negative_text\": \" detailed fur\", \"prepend_text\": \" \\t\", \"append_text\": \"\\tdetailed fur
 \"}}, \"104\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\n
 \", \"negative_text\": \"
 fox\\n\", \"prepend_text\": \"
 猫\\u001ca,\", \"append_text\": \"\\u001cdetailed fur\\t😀\"}}, \"103\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"104\", 0]}}, \"102\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"103\", 0]}}, \"105\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"106\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"107\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"105\", 0]}}, \"108\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"107\", 0]}}, \"109\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"107\", 0]}}, \"110\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"106\", 0]}}, \"114\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\ncafé\", \"strip_newlines\": true}}, \"113\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \"detailed fur 猫\", \"string_b\": [\"114\", 0], \"delimiter\": \", \"}}, \"112\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"113\", 0], \"prepend_text\": \"\\nfox \", \"append_text\": \" detailed fur \", \"clip\": [\"4\", 1]}}, \"111\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"110\", 0], \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"112\", 0]}}, \"115\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"111\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": "107", "state": "unresolved"}}, "name": "select-fuzz-0-51", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \" a, \", \"prepend_text\": \"…猫\", \"negative_text\": \"…\\n\"}}, \"105\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \" detailed fur\\n\", \"clip\": [\"4\", 1]}}, \"103\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"104\", 0], \"conditioning_2\": [\"105\", 0]}}, \"102\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"103\", 0]}}, \"101\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"102\", 0]}}, \"106\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"
 \\tfox\", \"negative_text\": \"
 \", \"prepend_text\": \"…café \", \"append_text\": \"…\\n\"}}, \"107\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"106\", 1], \"latent_image\": [\"5\", 0]}}, \"108\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"107\", 0]}}, \"109\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"108\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Sampler stages have different prompts", "reason_code": "multistage-differs", "sampler_id": "108", "state": "ambiguous"}}, "name": "select-fuzz-0-52", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"\\u001c
 \", \"prepend_text\": \"snow\\u001cdetailed fur\", \"append_text\": \"a,\"}}, \"102\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"103\", 0], \"clip\": [\"4\", 1]}}, \"101\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"102\", 0]}}, \"104\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": \"\\ncafé
 snow\", \"prepend_text\": \"\\tfox
 \", \"negative_text\": \"
 
 \"}}, \"105\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"104\", 0], \"latent_image\": [\"5\", 0]}}, \"106\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"105\", 0]}}, \"107\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"106\", 0]}}, \"109\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \" snow\", \"clip\": [\"4\", 1]}}, \"112\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\u001cfox\\t\", \"text_l\": \"\\u001cfox\\t\"}}, \"111\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"112\", 0]}}, \"110\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"111\", 0]}}, \"108\": {\"class_type\": \"UltimateSDUpscaleNoUpscale\", \"inputs\": {\"model\": [\"4\", 0], \"positive\": [\"109\", 0], \"negative\": [\"110\", 0], \"upscaled_image\": [\"106\", 0]}}, \"113\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"missing\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-53", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"124\": {\"records\": [{\"text\": \"a,\\n\", \"negative_text\": \"\\n\\u2028 \", \"prepend_text\": \"a,\", \"append_text\": \"detailed fur\", \"positive_text\": \"\\ncaf\\u00e9\\u0085\", \"negative_effective_text\": \"\\n\\u2028 \"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\ufeff\"}}, \"105\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \"\\u2028 caf\\u00e9 \", \"string_b\": \"\\u0085\\u732b\\u2028 \", \"delimiter\": \" \"}}, \"104\": {\"class_type\": \"TextInput\", \"inputs\": {\"string\": [\"105\", 0]}}, \"103\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": [\"104\", 0]}}, \"102\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"103\", 0], \"clip\": [\"4\", 1]}}, \"106\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"108\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\tcaf\\u00e9\\u0085\\ud83d\\ude00\", \"negative_text\": \"\\u3000detailed fur\\u2028 caf\\u00e9\", \"prepend_text\": \" a,\\u3000caf\\u00e9\", \"append_text\": \"detailed fur\\u2028 \\ud83d\\ude00\"}}, \"110\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"fox\\n\", \"clip\": [\"4\", 1]}}, \"112\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\u001c\\ud83d\\ude00\\ufeffsnow\"}}, \"113\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"\\u001c\\ud83d\\ude00 \", \"prepend_text\": \"\\u2028 snow\\u0085\", \"append_text\": \"\\u001ca,\\ud83d\\ude00\", \"clip\": [\"4\", 1]}}, \"111\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": true, \"on_true\": [\"112\", 0], \"on_false\": [\"113\", 0]}}, \"109\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": false, \"on_true\": [\"110\", 0], \"on_false\": [\"111\", 0]}}, \"107\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"108\", 0], \"conditioning_2\": [\"109\", 0]}}, \"114\": {\"class_type\": \"KSamplerAdvanced\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"107\", 0], \"latent_image\": [\"5\", 0]}}, \"115\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"116\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"106\", 0]}}, \"117\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"116\", 0]}}, \"118\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"114\", 0]}}, \"119\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"118\", 0]}}, \"120\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"115\", 0]}}, \"121\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"120\", 0]}}, \"124\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"a,\\n\", \"negative_text\": \"\\n\\u2028 \", \"prepend_text\": \"\\na,\\u0085\", \"append_text\": \"detailed fur \"}}, \"126\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\nsnow\\u3000\"}}, \"125\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"126\", 0], \"conditioning_2\": [\"126\", 0]}}, \"123\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"124\", 1], \"conditioning_2\": [\"125\", 0]}}, \"122\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"120\", 0], \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"123\", 0]}}, \"127\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"122\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-fuzz-0-54", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"122\": {\"records\": [{\"text\": \"\\u0085\\u732b\\t\", \"negative_text\": \"\\u2028 caf\\u00e9\\u3000\", \"prepend_text\": \"\\ud83d\\ude00\\u3000a,\", \"append_text\": \"caf\\u00e9\", \"positive_text\": \" \\ud83d\\ude00\\u3000\", \"negative_effective_text\": \"\\u2028 caf\\u00e9\\u3000\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\ta,\", \"clip\": [\"4\", 1]}}, \"101\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"102\", 0]}}, \"106\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": \"café \", \"prepend_text\": \"…a, café\", \"negative_text\": \"…a,\\n😀\"}}, \"105\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"106\", 0]}}, \"108\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"猫\", \"text_l\": \"猫\"}}, \"109\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\n猫\\n\", \"text_l\": \"\\n猫\\n\"}}, \"107\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": true, \"on_true\": [\"108\", 0], \"on_false\": [\"109\", 0]}}, \"104\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 1], \"on_true\": [\"105\", 0], \"on_false\": [\"107\", 0]}}, \"110\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"…fox…snow\"}}, \"103\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"104\", 0], \"conditioning_2\": [\"110\", 0]}}, \"111\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"5\", 0]}}, \"113\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"a,\"}}, \"112\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"113\", 0]}}, \"117\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_b\": \"猫\", \"text_d\": \"\", \"text_a\": \"a,
 \", \"clean_whitespace\": \"true\"}}, \"116\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \"😀 fox\", \"string_b\": [\"117\", 0], \"delimiter\": \"\"}}, \"115\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": [\"116\", 0]}}, \"114\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": [\"115\", 0], \"prepend_text\": \"\", \"negative_text\": \"\\u001cdetailed fur\\n\"}}, \"118\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"112\", 0], \"negative\": [\"114\", 0], \"latent_image\": [\"5\", 0]}}, \"119\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"112\", 0], \"negative\": [\"114\", 0], \"latent_image\": [\"118\", 0]}}, \"120\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"111\", 0]}}, \"122\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"…猫\\t\", \"negative_text\": \"
 café \", \"prepend_text\": \" 😀 a,\", \"append_text\": \" café \"}}, \"121\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"120\", 0], \"model\": [\"4\", 0], \"positive\": [\"112\", 0], \"negative\": [\"122\", 0]}}, \"123\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"121\", 0]}}, \"124\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"118\", 0]}}, \"125\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"124\", 0]}}, \"126\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"119\", 0]}}, \"128\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": \" 猫 \", \"prepend_text\": \"猫\\u001c😀\", \"append_text\": \" 猫\\tdetailed fur\", \"clip\": [\"4\", 1]}}, \"132\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"
 \", \"clip\": [\"4\", 1]}}, \"131\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"132\", 0]}}, \"130\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"131\", 0]}}, \"129\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"130\", 0], \"conditioning_2\": [\"130\", 0]}}, \"127\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"126\", 0], \"model\": [\"4\", 0], \"positive\": [\"128\", 0], \"negative\": [\"129\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "A1111 settings footer is not unique", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "select-fuzz-0-55", "records": {"parameters": "…😀\t\r\nTemplate: t\rSteps: x Steps:٣, a\r\t\n\r"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "fox 😀 detailed fur 猫\u001c猫"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "detailed fur, fox 
 😀\u001c, … a,"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "106", "state": "resolved"}}, "name": "select-fuzz-0-56", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \"
 😀\\u001c\", \"string_b\": \"… \", \"delimiter\": \", \"}}, \"103\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": [\"104\", 0], \"prepend_text\": \" fox \", \"append_text\": \"a,\"}}, \"102\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"103\", 0]}}, \"101\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": [\"102\", 0], \"prepend_text\": \"detailed fur\\n\", \"negative_text\": \"😀
 \"}}, \"105\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \" detailed fur \", \"negative_text\": \"\\u001ca,…café\", \"prepend_text\": \"
 fox 😀\", \"append_text\": \"
 猫\\u001c猫\"}}, \"106\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"105\", 0], \"latent_image\": [\"5\", 0]}}, \"107\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"missing\", 0]}}, \"108\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"107\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (CLIPTextEncodeSDXL).", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "detailed fur, snow 
 a,
  a,"}}, "resolution": {"node": {"class_type": "CLIPTextEncodeSDXL", "id": "104"}, "reason": "Encoder parts have different texts", "reason_code": "composite", "sampler_id": "105", "state": "unresolved"}}, "name": "select-fuzz-0-57", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"107\": {\"records\": [{\"text\": \" snow\\u0085\", \"negative_text\": \"\\u001c\\u732b\\ufeff\", \"prepend_text\": \"fox\", \"append_text\": \"a,\\ufeff\\ud83d\\ude00\", \"positive_text\": \"\\ufeffcaf\\u00e9\\ufeff\", \"negative_effective_text\": \"\\u001c\\u732b\\ufeff\"}]}}}", "prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"\\u0085snow\\ufeff\", \"string_2\": \"\\u2028 a,\\u2028 \", \"inputcount\": 2, \"delimiter\": \" \", \"return_list\": false}}, \"102\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": [\"103\", 0], \"string_b\": \"\\u3000a, \", \"delimiter\": \"\"}}, \"101\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": [\"102\", 0], \"prepend_text\": \"\\ufeffdetailed fur\\u2028 \", \"negative_text\": \"\\u001ccaf\\u00e9\\t\"}}, \"104\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\na,\\u3000\", \"text_l\": \" \"}}, \"105\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"104\", 0], \"latent_image\": [\"5\", 0]}}, \"107\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \" snow\\u0085\", \"negative_text\": \"\\u001c\\u732b\\ufeff\", \"prepend_text\": \"\\u001c\\u0085fox\", \"append_text\": \"\\u0085a,\\ufeff\\ud83d\\ude00\"}}, \"106\": {\"class_type\": \"Reroute\", \"inputs\": {}}, \"111\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\ncaf\\u00e9\\ufeffa,\", \"text_l\": \"\\u3000a,\\n\"}}, \"110\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"111\", 0]}}, \"109\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"110\", 0]}}, \"108\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"109\", 0]}}, \"112\": {\"class_type\": \"SamplerCustom\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"106\", 0], \"negative\": [\"108\", 0], \"latent_image\": [\"5\", 0]}}, \"113\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"105\", 0]}}, \"114\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"113\", 0]}}, \"115\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"112\", 0]}}, \"119\": {\"class_type\": \"JoinStringMulti\", \"inputs\": {\"string_1\": \"\\u0085fox\\t\", \"inputcount\": 1, \"delimiter\": \" \", \"return_list\": false}}, \"118\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"119\", 0], \"text_l\": [\"119\", 0]}}, \"121\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": \"\\u0085\\n\"}}, \"120\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"121\", 0], \"prepend_text\": \"\\u0085detailed fur\\u3000\", \"append_text\": \"\\t\", \"clip\": [\"4\", 1]}}, \"117\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 1], \"on_true\": [\"118\", 0], \"on_false\": [\"120\", 0]}}, \"122\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": \"\\t\\u732b \", \"prepend_text\": \"\\u3000\\u732b\\u2028 \", \"negative_text\": \"\\tdetailed fur\\ta,\"}}, \"116\": {\"class_type\": \"FaceDetailer\", \"inputs\": {\"image\": [\"115\", 0], \"model\": [\"4\", 0], \"positive\": [\"117\", 0], \"negative\": [\"122\", 0]}}, \"124\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\u2028 snow \", \"text_l\": \"\"}}, \"125\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": \"\\u001c\\u732b\\u0085caf\\u00e9\", \"prepend_text\": \"\\ufeffcaf\\u00e9\\u0085\", \"negative_text\": \"\\n\\u732b\\t\"}}, \"123\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"116\", 0], \"model\": [\"4\", 0], \"positive\": [\"124\", 0], \"negative\": [\"125\", 0]}}, \"126\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"123\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": "108", "state": "unresolved"}}, "name": "select-fuzz-0-58", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"\\u001csnow\\n\", \"prepend_text\": \"\\u3000detailed fur\\ufeffsnow\", \"append_text\": \"\\u0085\\u3000\", \"clip\": [\"4\", 1]}}, \"102\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \" \\ufeff\"}}, \"103\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"104\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"105\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"103\", 0]}}, \"106\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"105\", 0]}}, \"107\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"104\", 0]}}, \"112\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \" fox a,\", \"clip\": [\"4\", 1]}}, \"111\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"112\", 0]}}, \"114\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \" detailed fur\\u001c\", \"clip\": [\"4\", 1]}}, \"113\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"114\", 0]}}, \"110\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": true, \"on_true\": [\"111\", 0], \"on_false\": [\"113\", 0]}}, \"109\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"110\", 0]}}, \"117\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_a\": \" \\ud83d\\ude00\\u3000\", \"text_b\": \"\\ncaf\\u00e9 \", \"text_d\": \"\\n\\ud83d\\ude00\\u001c\", \"clean_whitespace\": \"true\"}}, \"118\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"\\u001ccaf\\u00e9 \\u732b\", \"prepend_text\": \"\\u2028 \\u732b\\n\\u732b\", \"append_text\": \"\\ufeff \"}}, \"116\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": [\"117\", 0], \"string_b\": [\"118\", 0], \"delimiter\": \", \"}}, \"115\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": [\"116\", 0], \"prepend_text\": \"\\u2028 caf\\u00e9\", \"negative_text\": \"\\tcaf\\u00e9\\u3000\"}}, \"108\": {\"class_type\": \"DetailerForEach\", \"inputs\": {\"image\": [\"107\", 0], \"model\": [\"4\", 0], \"positive\": [\"109\", 0], \"negative\": [\"115\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Sampler stages have different prompts", "reason_code": "multistage-differs", "sampler_id": "113", "state": "ambiguous"}}, "name": "select-fuzz-0-59", "records": {"prompt": "{\"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"…猫…\", \"prepend_text\": \"a,\", \"append_text\": \"
 detailed fur\\u001c\"}}, \"102\": {\"class_type\": \"PromptManagerV2\", \"inputs\": {\"text\": [\"103\", 0], \"prepend_text\": \"\\t猫\", \"negative_text\": \"\\n\\u001c\"}}, \"101\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"102\", 0]}}, \"104\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"latent_image\": [\"5\", 0]}}, \"106\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"fox\"}}, \"108\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \"\\u001c😀 \", \"text_l\": \"\\nfox…\"}}, \"107\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"108\", 0]}}, \"105\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"106\", 0], \"conditioning_2\": [\"107\", 0]}}, \"109\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \" 😀a,\"}}, \"110\": {\"class_type\": \"KSamplerAdvanced\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"105\", 0], \"negative\": [\"109\", 0], \"latent_image\": [\"5\", 0]}}, \"111\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"latent_image\": [\"5\", 0]}}, \"112\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"104\", 0]}}, \"115\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\u001ccafé\", \"negative_text\": \"\\u001c猫café\", \"prepend_text\": \"café\\n\", \"append_text\": \"…😀 \"}}, \"114\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"115\", 0]}}, \"119\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a,\\u001c\", \"clip\": [\"4\", 1]}}, \"120\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u001c猫\\u001c\", \"clip\": [\"4\", 1]}}, \"118\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"119\", 0], \"conditioning_2\": [\"120\", 0]}}, \"122\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\u001cdetailed fursnow\", \"clip\": [\"4\", 1]}}, \"121\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"122\", 0], \"conditioning_2\": [\"122\", 0]}}, \"117\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"118\", 0], \"conditioning_2\": [\"121\", 0]}}, \"116\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"117\", 0]}}, \"113\": {\"class_type\": \"UltimateSDUpscaleNoUpscale\", \"inputs\": {\"model\": [\"4\", 0], \"positive\": [\"114\", 0], \"negative\": [\"116\", 0], \"upscaled_image\": [\"112\", 0]}}, \"123\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"113\", 0]}}, \"124\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"110\", 0]}}, \"125\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"124\", 0]}}, \"126\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"124\", 0]}}, \"127\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"111\", 0]}}, \"128\": {\"class_type\": \"PreviewAny\", \"inputs\": {\"images\": [\"127\", 0]}}, \"131\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \" fox\", \"prepend_text\": \"\\ndetailed fur…\", \"append_text\": \" \\u001c\"}}, \"130\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"131\", 0], \"text_l\": [\"131\", 0]}}, \"129\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"127\", 0], \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"130\", 0]}}, \"132\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"129\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-0", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"fox\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"10\", 0]}}, \"12\": {\"class_type\": \"LatentUpscaleBy\", \"inputs\": {\"samples\": [\"10\", 0]}}, \"13\": {\"class_type\": \"ImageScaleBy\", \"inputs\": {\"image\": [\"12\", 0]}}, \"14\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"13\", 0]}}, \"15\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"6\", 0], \"conditioning_2\": [\"2\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"14\", 0]}}, \"17\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"16\", 0]}}, \"18\": {\"class_type\": \"MysteryImageEffect\", \"inputs\": {\"image\": [\"17\", 0]}}, \"19\": {\"class_type\": \"Image Filter\", \"inputs\": {\"images\": [\"18\", 0]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"15\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"19\", 0]}}, \"21\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"20\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-1", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"fox\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"2\", 0]}}, \"12\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"10\", 0]}}, \"13\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"11\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"12\", 0]}}, \"14\": {\"class_type\": \"ConditioningAverage\", \"inputs\": {\"conditioning_to\": [\"5\", 0], \"conditioning_from\": [\"2\", 0]}}, \"15\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"13\", 0]}}, \"16\": {\"class_type\": \"MysteryImageEffect\", \"inputs\": {\"image\": [\"15\", 0]}}, \"17\": {\"class_type\": \"LatentUpscaleBy\", \"inputs\": {\"samples\": [\"16\", 0]}}, \"18\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"14\", 0], \"negative\": [\"6\", 0], \"latent_image\": [\"17\", 0]}}, \"19\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"18\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "added-conditioning", "status": "resolved", "text": "fox"}}, "resolution": {"node": null, "reason": "A later stage adds conditioning to the base prompt", "reason_code": null, "sampler_id": "10", "state": "resolved"}}, "name": "select-passthrough-fuzz-0-2", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"fox\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"ConditioningConcat\", \"inputs\": {\"conditioning_to\": [\"5\", 0], \"conditioning_from\": [\"2\", 0]}}, \"12\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"samples\": [\"10\", 0]}}, \"13\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"samples\": [\"12\", 0]}}, \"14\": {\"class_type\": \"ImageScaleBy\", \"inputs\": {\"image\": [\"13\", 0]}}, \"15\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"11\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"14\", 0]}}, \"16\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"15\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-3", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"fox\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"image\": [\"10\", 0]}}, \"12\": {\"class_type\": \"MysteryImageEffect\", \"inputs\": {\"image\": [\"11\", 0]}}, \"13\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"12\", 0]}}, \"14\": {\"class_type\": \"MysteryImageEffect\", \"inputs\": {\"image\": [\"13\", 0]}}, \"15\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"6\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"14\", 0]}}, \"16\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"15\", 0]}}, \"17\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"15\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "fox"}}, "resolution": {"node": null, "reason": "Every sampler branch uses the same prompt pair", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "select-passthrough-fuzz-0-4", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"fox\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"10\", 0]}}, \"12\": {\"class_type\": \"LatentUpscaleBy\", \"inputs\": {\"samples\": [\"10\", 0]}}, \"13\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"samples\": [\"12\", 0]}}, \"14\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"13\", 0], \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0]}}, \"15\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"14\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "15", "state": "resolved"}}, "name": "select-passthrough-fuzz-0-5", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"10\", 0]}}, \"12\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"11\", 0]}}, \"13\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"image\": [\"12\", 0]}}, \"14\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"image\": [\"13\", 0]}}, \"15\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"14\", 0]}}, \"16\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"15\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-6", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"fox\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"2\", 0]}}, \"12\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"samples\": [\"10\", 0]}}, \"13\": {\"class_type\": \"LatentUpscaleBy\", \"inputs\": {\"samples\": [\"12\", 0]}}, \"14\": {\"class_type\": \"MysteryImageEffect\", \"inputs\": {\"image\": [\"13\", 0]}}, \"15\": {\"class_type\": \"ImageScaleBy\", \"inputs\": {\"image\": [\"14\", 0]}}, \"16\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"11\", 0], \"negative\": [\"6\", 0], \"latent_image\": [\"15\", 0]}}, \"17\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"16\", 0]}}, \"18\": {\"class_type\": \"Image Filter\", \"inputs\": {\"images\": [\"16\", 0]}}, \"19\": {\"class_type\": \"ImageScaleBy\", \"inputs\": {\"image\": [\"18\", 0]}}, \"20\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"6\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"19\", 0]}}, \"21\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"20\", 0]}}, \"22\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"20\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-7", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"10\", 0]}}, \"12\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"samples\": [\"10\", 0]}}, \"13\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"12\", 0]}}, \"14\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"6\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"13\", 0]}}, \"15\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"14\", 0]}}, \"16\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"14\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningAverage).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (ConditioningAverage).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "ConditioningAverage", "id": "12"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "15", "state": "unresolved"}}, "name": "select-passthrough-fuzz-0-8", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"10\", 0]}}, \"12\": {\"class_type\": \"ConditioningAverage\", \"inputs\": {\"conditioning_to\": [\"5\", 0], \"conditioning_from\": [\"2\", 0]}}, \"13\": {\"class_type\": \"ImageScaleBy\", \"inputs\": {\"image\": [\"11\", 0]}}, \"14\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"13\", 0]}}, \"15\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"14\", 0], \"model\": [\"1\", 0], \"positive\": [\"12\", 0], \"negative\": [\"6\", 0]}}, \"16\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"15\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "16", "state": "resolved"}}, "name": "select-passthrough-fuzz-0-9", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"10\", 0]}}, \"12\": {\"class_type\": \"Image Filter\", \"inputs\": {\"images\": [\"10\", 0]}}, \"13\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"image\": [\"12\", 0]}}, \"14\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"13\", 0]}}, \"15\": {\"class_type\": \"Image Filter\", \"inputs\": {\"images\": [\"14\", 0]}}, \"16\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"15\", 0]}}, \"17\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"16\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "fox"}}, "resolution": {"node": null, "reason": "Every sampler branch uses the same prompt pair", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "select-passthrough-fuzz-0-10", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"fox\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"MysteryImageEffect\", \"inputs\": {\"image\": [\"10\", 0]}}, \"12\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"11\", 0]}}, \"13\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"12\", 0]}}, \"14\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"13\", 0]}}, \"15\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"14\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Sampler stages have different prompts", "reason_code": "multistage-differs", "sampler_id": "11", "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-11", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"fox\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"6\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"10\", 0]}}, \"12\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-12", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"fox\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"2\", 0], \"conditioning_2\": [\"6\", 0]}}, \"12\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"10\", 0], \"model\": [\"1\", 0], \"positive\": [\"11\", 0], \"negative\": [\"3\", 0]}}, \"13\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"12\", 0]}}, \"14\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"5\", 0], \"conditioning_2\": [\"2\", 0]}}, \"15\": {\"class_type\": \"MysteryImageEffect\", \"inputs\": {\"image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"15\", 0]}}, \"17\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"16\", 0]}}, \"18\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"14\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"19\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"18\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-13", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"fox\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"ConditioningAverage\", \"inputs\": {\"conditioning_to\": [\"2\", 0], \"conditioning_from\": [\"5\", 0]}}, \"12\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"10\", 0]}}, \"13\": {\"class_type\": \"MysteryImageEffect\", \"inputs\": {\"image\": [\"12\", 0]}}, \"14\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"13\", 0]}}, \"15\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"11\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"14\", 0]}}, \"16\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"15\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "fox"}}, "resolution": {"node": null, "reason": "Every sampler branch uses the same prompt pair", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "select-passthrough-fuzz-0-14", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"fox\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"10\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}, \"13\": {\"class_type\": \"ImageScaleBy\", \"inputs\": {\"image\": [\"11\", 0]}}, \"14\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"13\", 0]}}, \"15\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"image\": [\"14\", 0]}}, \"16\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"15\", 0], \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0]}}, \"17\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"16\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "added-conditioning", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "A later stage adds conditioning to the base prompt", "reason_code": null, "sampler_id": "10", "state": "resolved"}}, "name": "select-passthrough-fuzz-0-15", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"ConditioningConcat\", \"inputs\": {\"conditioning_to\": [\"2\", 0], \"conditioning_from\": [\"6\", 0]}}, \"12\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"samples\": [\"10\", 0]}}, \"13\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"11\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"12\", 0]}}, \"14\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"13\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Sampler stages have different prompts", "reason_code": "multistage-differs", "sampler_id": "12", "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-16", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"10\", 0]}}, \"12\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"6\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"11\", 0]}}, \"13\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"12\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Sampler stages have different prompts", "reason_code": "multistage-differs", "sampler_id": "13", "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-17", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"10\", 0]}}, \"12\": {\"class_type\": \"ImageScaleBy\", \"inputs\": {\"image\": [\"11\", 0]}}, \"13\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"6\", 0], \"latent_image\": [\"12\", 0]}}, \"14\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"13\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-18", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"2\", 0]}}, \"12\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"image\": [\"10\", 0]}}, \"13\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"11\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"12\", 0]}}, \"14\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"13\", 0]}}, \"15\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"2\", 0], \"conditioning_2\": [\"6\", 0]}}, \"16\": {\"class_type\": \"VAEDecodeTiled\", \"inputs\": {\"samples\": [\"13\", 0]}}, \"17\": {\"class_type\": \"ImageScaleBy\", \"inputs\": {\"image\": [\"16\", 0]}}, \"18\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"15\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"19\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"18\", 0]}}, \"20\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"18\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "added-conditioning", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "A later stage adds conditioning to the base prompt", "reason_code": null, "sampler_id": "10", "state": "resolved"}}, "name": "select-passthrough-fuzz-0-19", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"6\", 0], \"conditioning_2\": [\"2\", 0]}}, \"12\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"10\", 0]}}, \"13\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"11\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"12\", 0]}}, \"14\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"13\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningAverage).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (ConditioningAverage).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "ConditioningAverage", "id": "11"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "19", "state": "unresolved"}}, "name": "select-passthrough-fuzz-0-20", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"ConditioningAverage\", \"inputs\": {\"conditioning_to\": [\"6\", 0], \"conditioning_from\": [\"2\", 0]}}, \"12\": {\"class_type\": \"LatentUpscaleBy\", \"inputs\": {\"samples\": [\"10\", 0]}}, \"13\": {\"class_type\": \"ImageScaleBy\", \"inputs\": {\"image\": [\"12\", 0]}}, \"14\": {\"class_type\": \"ImageScaleBy\", \"inputs\": {\"image\": [\"13\", 0]}}, \"15\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"14\", 0], \"model\": [\"1\", 0], \"positive\": [\"11\", 0], \"negative\": [\"6\", 0]}}, \"16\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"15\", 0]}}, \"17\": {\"class_type\": \"Image Filter\", \"inputs\": {\"images\": [\"15\", 0]}}, \"18\": {\"class_type\": \"Image Filter\", \"inputs\": {\"images\": [\"17\", 0]}}, \"19\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"6\", 0], \"latent_image\": [\"18\", 0]}}, \"20\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"19\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "Every sampler branch uses the same prompt pair", "reason_code": null, "sampler_id": null, "state": "resolved"}}, "name": "select-passthrough-fuzz-0-21", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"10\", 0]}}, \"12\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"10\", 0]}}, \"13\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"12\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-22", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"fox\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"2\", 0]}}, \"12\": {\"class_type\": \"MysteryImageEffect\", \"inputs\": {\"image\": [\"10\", 0]}}, \"13\": {\"class_type\": \"Image Filter\", \"inputs\": {\"images\": [\"12\", 0]}}, \"14\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"11\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"13\", 0]}}, \"15\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"6\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"14\", 0]}}, \"16\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"15\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "added-conditioning", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "A later stage adds conditioning to the base prompt", "reason_code": null, "sampler_id": "10", "state": "resolved"}}, "name": "select-passthrough-fuzz-0-23", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"ConditioningConcat\", \"inputs\": {\"conditioning_to\": [\"5\", 0], \"conditioning_from\": [\"2\", 0]}}, \"12\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"10\", 0], \"model\": [\"1\", 0], \"positive\": [\"11\", 0], \"negative\": [\"3\", 0]}}, \"13\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"12\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "15", "state": "resolved"}}, "name": "select-passthrough-fuzz-0-24", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"10\", 0]}}, \"12\": {\"class_type\": \"ImageScaleBy\", \"inputs\": {\"image\": [\"10\", 0]}}, \"13\": {\"class_type\": \"LatentUpscaleBy\", \"inputs\": {\"samples\": [\"12\", 0]}}, \"14\": {\"class_type\": \"LatentUpscaleBy\", \"inputs\": {\"samples\": [\"13\", 0]}}, \"15\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"14\", 0]}}, \"16\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"15\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "12", "state": "resolved"}}, "name": "select-passthrough-fuzz-0-25", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"2\", 0]}}, \"12\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"11\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"10\", 0]}}, \"13\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"12\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Sampler stages have different prompts", "reason_code": "multistage-differs", "sampler_id": "12", "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-26", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"6\", 0], \"latent_image\": [\"10\", 0]}}, \"12\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"6\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"11\", 0]}}, \"13\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"12\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Sampler stages have different prompts", "reason_code": "multistage-differs", "sampler_id": "17", "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-27", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"fox\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"10\", 0]}}, \"12\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"11\", 0]}}, \"13\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"12\", 0]}}, \"14\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"13\", 0]}}, \"15\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"14\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"15\", 0]}}, \"17\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"6\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"16\", 0]}}, \"18\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"17\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningAverage).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (ConditioningAverage).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "ConditioningAverage", "id": "12"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "15", "state": "unresolved"}}, "name": "select-passthrough-fuzz-0-28", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"fox\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"10\", 0]}}, \"12\": {\"class_type\": \"ConditioningAverage\", \"inputs\": {\"conditioning_to\": [\"6\", 0], \"conditioning_from\": [\"2\", 0]}}, \"13\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"11\", 0]}}, \"14\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"13\", 0]}}, \"15\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"12\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"14\", 0]}}, \"16\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"15\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "15", "state": "resolved"}}, "name": "select-passthrough-fuzz-0-29", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"10\", 0]}}, \"12\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"10\", 0]}}, \"13\": {\"class_type\": \"Image Filter\", \"inputs\": {\"images\": [\"12\", 0]}}, \"14\": {\"class_type\": \"LatentUpscaleBy\", \"inputs\": {\"samples\": [\"13\", 0]}}, \"15\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"14\", 0]}}, \"16\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"15\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "11", "state": "resolved"}}, "name": "select-passthrough-fuzz-0-30", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"10\", 0], \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Sampler stages have different prompts", "reason_code": "multistage-differs", "sampler_id": "13", "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-31", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"image\": [\"10\", 0]}}, \"12\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"11\", 0]}}, \"13\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"6\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"12\", 0]}}, \"14\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"13\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "16", "state": "resolved"}}, "name": "select-passthrough-fuzz-0-32", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"2\", 0]}}, \"12\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"10\", 0]}}, \"13\": {\"class_type\": \"Image Filter\", \"inputs\": {\"images\": [\"12\", 0]}}, \"14\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"13\", 0]}}, \"15\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"14\", 0]}}, \"16\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"11\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"15\", 0]}}, \"17\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"16\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "12", "state": "resolved"}}, "name": "select-passthrough-fuzz-0-33", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"LatentUpscaleBy\", \"inputs\": {\"samples\": [\"10\", 0]}}, \"12\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"11\", 0]}}, \"13\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"12\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-34", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"10\", 0]}}, \"12\": {\"class_type\": \"ConditioningConcat\", \"inputs\": {\"conditioning_to\": [\"5\", 0], \"conditioning_from\": [\"2\", 0]}}, \"13\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"10\", 0]}}, \"14\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"13\", 0]}}, \"15\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"14\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"15\", 0]}}, \"17\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"12\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"16\", 0]}}, \"18\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"17\", 0]}}, \"19\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"17\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "added-conditioning", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "A later stage adds conditioning to the base prompt", "reason_code": null, "sampler_id": "10", "state": "resolved"}}, "name": "select-passthrough-fuzz-0-35", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"10\", 0]}}, \"12\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"2\", 0], \"conditioning_2\": [\"5\", 0]}}, \"13\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"10\", 0]}}, \"14\": {\"class_type\": \"LatentUpscaleBy\", \"inputs\": {\"samples\": [\"13\", 0]}}, \"15\": {\"class_type\": \"ImageScaleBy\", \"inputs\": {\"image\": [\"14\", 0]}}, \"16\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"12\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"15\", 0]}}, \"17\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"16\", 0]}}, \"18\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"16\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-36", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"5\", 0], \"conditioning_2\": [\"2\", 0]}}, \"12\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"11\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"10\", 0]}}, \"13\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"12\", 0]}}, \"14\": {\"class_type\": \"ConditioningConcat\", \"inputs\": {\"conditioning_to\": [\"5\", 0], \"conditioning_from\": [\"2\", 0]}}, \"15\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"14\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"15\", 0]}}, \"17\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"15\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "ConditioningCombine", "id": "16"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "19", "state": "unresolved"}}, "name": "select-passthrough-fuzz-0-37", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"ConditioningAverage\", \"inputs\": {\"conditioning_to\": [\"5\", 0], \"conditioning_from\": [\"2\", 0]}}, \"12\": {\"class_type\": \"ImageScaleBy\", \"inputs\": {\"image\": [\"10\", 0]}}, \"13\": {\"class_type\": \"LatentUpscaleBy\", \"inputs\": {\"samples\": [\"12\", 0]}}, \"14\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"11\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"13\", 0]}}, \"15\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"14\", 0]}}, \"16\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"5\", 0], \"conditioning_2\": [\"2\", 0]}}, \"17\": {\"class_type\": \"Image Filter\", \"inputs\": {\"images\": [\"14\", 0]}}, \"18\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"17\", 0]}}, \"19\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"16\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"18\", 0]}}, \"20\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"19\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-38", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"10\", 0]}}, \"12\": {\"class_type\": \"ConditioningAverage\", \"inputs\": {\"conditioning_to\": [\"2\", 0], \"conditioning_from\": [\"6\", 0]}}, \"13\": {\"class_type\": \"MysteryImageEffect\", \"inputs\": {\"image\": [\"10\", 0]}}, \"14\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"13\", 0], \"model\": [\"1\", 0], \"positive\": [\"12\", 0], \"negative\": [\"3\", 0]}}, \"15\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"14\", 0]}}, \"16\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"2\", 0], \"conditioning_2\": [\"6\", 0]}}, \"17\": {\"class_type\": \"MysteryImageEffect\", \"inputs\": {\"image\": [\"14\", 0]}}, \"18\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"16\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"19\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"18\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "11", "state": "resolved"}}, "name": "select-passthrough-fuzz-0-39", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"10\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}}"}}], "version": 2} diff --git a/tests/js/support/local-inspect-oracle.mjs b/tests/js/support/local-inspect-oracle.mjs index c85d1d12..fc76f660 100644 --- a/tests/js/support/local-inspect-oracle.mjs +++ b/tests/js/support/local-inspect-oracle.mjs @@ -40,7 +40,7 @@ const semantics = compileSemantics(JSON.parse(fs.readFileSync(path.join(here, '. const { extractGenerationFacts } = require(path.join(here, '..', '..', '..', 'web', 'js', 'comfy-metadata.js')); /** The local evidence for one set of record texts. */ -const resolved = records => ({ evidence: resolveLocalEvidence(records, semantics) }); +const resolved = (records, fileName = null) => ({ evidence: resolveLocalEvidence(records, semantics, fileName) }); /** The local wire's evidence and six facts for one read (no legacy fill, as in the vectors' own harness). */ function localPayload(read, file, classification) { @@ -59,14 +59,14 @@ const output = {}; for (const entry of JSON.parse(Buffer.concat(chunks).toString('utf8'))) { const { name } = entry; if (entry.mode === 'resolve') { - if (entry.records !== undefined) { output[name] = resolved(entry.records); continue; } + if (entry.records !== undefined) { output[name] = resolved(entry.records, entry.fileName ?? null); continue; } const blob = await fs.openAsBlob(entry.path); const { classification, result } = await readLocalFile(blob, { pngMetadata }); const read = classification === null ? null : toInspectionRead(classification, result).read; if (classification === null) { output[name] = { unreadable: true }; continue; } // The evidence is the local wire's own (buildLocalPayload), and it equals resolveLocalEvidence of the records. const local = localPayload(result, { name: path.basename(entry.path), size: blob.size }, classification); - const direct = read === null ? unreadableEvidence() : resolved(read.records).evidence; + const direct = read === null ? unreadableEvidence() : resolved(read.records, path.basename(entry.path)).evidence; if (JSON.stringify(direct) !== JSON.stringify(local.evidence)) throw new Error(`${name}: the wire's roles are not the resolver's`); output[name] = read === null ? { unreadable: true, ...local } : local; continue; diff --git a/tests/js/workspace-local-resolver.test.js b/tests/js/workspace-local-resolver.test.js index dc092caa..a372aab3 100644 --- a/tests/js/workspace-local-resolver.test.js +++ b/tests/js/workspace-local-resolver.test.js @@ -155,7 +155,9 @@ test('committed server answers equal the local evidence', () => { value !== null && typeof value === 'object' ? Object.fromEntries(Object.keys(value).sort().map(key => [key, canonical(value[key])])) : value; let compared = 0; for (const {name, records, evidence} of vectors) { - assert.deepEqual(canonical(resolver.resolveLocalEvidence(records, semantics)), canonical(evidence), name); + // A case may name the inspected file (`__file_name`, #381 saver anchoring); it is no record. + const {__file_name: fileName = null, ...roles} = records; + assert.deepEqual(canonical(resolver.resolveLocalEvidence(roles, semantics, fileName)), canonical(evidence), name); compared++; } assert.ok(compared > 280, `compared ${compared}`); diff --git a/tests/local_resolver_cases.py b/tests/local_resolver_cases.py index 0ccfdd33..0fae39d0 100644 --- a/tests/local_resolver_cases.py +++ b/tests/local_resolver_cases.py @@ -26,6 +26,8 @@ VECTORS_PATH = ( / "local-inspect" / "resolver-vectors.json" ) +# A case may name the inspected file (#381 saver anchoring); it is no record. +FILE_NAME = "__file_name" # Committed record sets stay small; the large bound cases are built at test time. MAX_VECTOR_CHARS = 20_000 COMMITTED_FUZZ = (0, 60) @@ -906,6 +908,60 @@ def golden_cases(): }, ), ) + # #381: unknown nodes between the prompt and the sampler pass through. + try: + from tests import unknown_node_graphs + except ImportError: # pragma: no cover - discover -s tests puts tests/ first + import unknown_node_graphs + for name, graph in unknown_node_graphs.shapes().items(): + add(f"pass-through-{name}", graph) + for name, records in { + **unknown_node_graphs.recorded_shapes(), + **unknown_node_graphs.review_shapes(), + }.items(): + cases[f"pass-through-{name}"] = records + try: + from tests import saver_anchor_graphs as anchor + except ImportError: # pragma: no cover - discover -s tests puts tests/ first + import saver_anchor_graphs as anchor + for name, graph, file_name in [ + ("branch-3", anchor.branch_bench(), "s45_branch_3_00002_.png"), + ("branch-unanchored", anchor.branch_bench(), None), + ("branch-no-match", anchor.branch_bench(), "photo_00001_.png"), + ("branch-linked", anchor.linked_prefix_bench(), "s45_branch_2_00007_.png"), + ( + "branch-unknown-saver", + anchor.branch_bench(saver="VendorSaveImage"), + "s45_branch_4_00001.webp", + ), + ("shared-prefix", anchor.shared_prefix(), "IMG_GEN_00371_.png"), + ("same-links", anchor.two_stage_same_conditioning(), "final_00003_.png"), + ("same-links-unanchored", anchor.two_stage_same_conditioning(), None), + ( + "other-links", + anchor.two_stage_same_conditioning(["91", 0]), + "final_00003_.png", + ), + ("hidden-earlier", anchor.hidden_earlier_prompt(), "out_00001_.png"), + ( + "hidden-override", + anchor.hidden_earlier_prompt(override=True), + "out_00001_.png", + ), + ] + [ + (f"first-stage-{kind}", anchor.first_stage_variant(kind), "final_00003_.png") + for kind in ( + "no-latent", + "literal-latent", + "missing-latent", + "cyclic-latent", + "stage-shaped", + "detailer", + ) + ]: + cases[f"anchor-{name}"] = {"prompt": _dump(graph)} + if file_name is not None: + cases[f"anchor-{name}"][FILE_NAME] = file_name cases["parameters-only"] = { "parameters": "a fox\nNegative prompt: blur\nSteps: 20, Sampler: euler" } @@ -1059,7 +1115,8 @@ def boundary_cases(): ["7", 0], { "\U0001f600" - * 70: {"class_type": long_name, "inputs": {"text": "x"}}, + # No text and no links: still named, not passed through (#381). + * 70: {"class_type": long_name, "inputs": {"seed": 1}}, "7": _encode("b"), }, ) @@ -1387,7 +1444,10 @@ def committed_vectors(): "name": name, "records": records, "evidence": inspect_prompt_evidence( - records, None, profile=INSPECTION_PROFILE + {key: value for key, value in records.items() if key != FILE_NAME}, + None, + profile=INSPECTION_PROFILE, + file_name=records.get(FILE_NAME), ), } for name, records in cases.items() diff --git a/tests/saver_anchor_graphs.py b/tests/saver_anchor_graphs.py new file mode 100644 index 00000000..2008c0b9 --- /dev/null +++ b/tests/saver_anchor_graphs.py @@ -0,0 +1,216 @@ +"""Synthetic graphs for saver anchoring and shared-conditioning stages (#381). + +``branch_bench`` reproduces the maintainer's ``gpu_unlock_bench`` run: four +KSampler branches with different prompts, each saved by its own SaveImage whose +literal prefix names the branch (``bench/run/s45_branch_N``). ``shared_prefix`` +is the dataset run's shape: every branch's saver uses one prefix, so the file +name cannot name the branch. ``two_stage_same_conditioning`` reproduces the +ANIMA run: a hires stage whose latent passes an unlisted node and reads the +same positive and negative links as the first stage. Texts are neutral. +""" + +BRANCH_TEXTS = ( + "a knit beanie on a wooden table", + "an old fishing boat at dawn", + "a red vintage car in the rain", + "a cozy library with tall shelves", +) +NEGATIVE = "blurry, lowres" + + +def _encode(text): + return {"class_type": "CLIPTextEncode", "inputs": {"text": text, "clip": ["1", 1]}} + + +def _ksampler(positive, negative, latent, denoise=1.0): + return { + "class_type": "KSampler", + "inputs": { + "seed": 1, + "steps": 20, + "cfg": 7.0, + "sampler_name": "euler", + "scheduler": "normal", + "denoise": denoise, + "model": ["1", 0], + "positive": positive, + "negative": negative, + "latent_image": latent, + }, + } + + +def _base(): + return { + "1": {"class_type": "CheckpointLoaderSimple", "inputs": {"ckpt_name": "m"}}, + "2": {"class_type": "EmptyLatentImage", "inputs": {"width": 64}}, + "3": _encode(NEGATIVE), + } + + +def branch_bench(prefixes=None, saver="SaveImage"): + """Four branches; ``prefixes`` replaces each saver's ``filename_prefix``.""" + prefixes = prefixes or [ + f"bench/run/s45_branch_{index}" for index in range(1, len(BRANCH_TEXTS) + 1) + ] + graph = _base() + for index, text in enumerate(BRANCH_TEXTS, start=1): + base = index * 10 + graph[str(base)] = _encode(text) + graph[str(base + 1)] = _ksampler([str(base), 0], ["3", 0], ["2", 0]) + graph[str(base + 2)] = { + "class_type": "VAEDecode", + "inputs": {"samples": [str(base + 1), 0], "vae": ["1", 2]}, + } + graph[str(base + 3)] = { + "class_type": saver, + "inputs": { + "filename_prefix": prefixes[index - 1], + "images": [str(base + 2), 0], + }, + } + return graph + + +def linked_prefix_bench(): + """The branch run with each prefix coming from a PrimitiveString.""" + graph = branch_bench(prefixes=[["90", 0], ["91", 0], ["92", 0], ["93", 0]]) + for index in range(4): + graph[str(90 + index)] = { + "class_type": "PrimitiveString", + "inputs": {"value": f"bench/run/s45_branch_{index + 1}"}, + } + return graph + + +def shared_prefix(): + """Every branch saved with one prefix: the file name names no branch.""" + return branch_bench(prefixes=["dataset/IMG_GEN"] * len(BRANCH_TEXTS)) + + +def two_stage_same_conditioning(second_positive=None): + """Base and hires stage on the same links; the hires latent passes an + unlisted node (``VendorGpuCleaner``), so the stages' lineage is unknown.""" + graph = _base() + graph["90"] = _encode(BRANCH_TEXTS[0]) + graph["63"] = _ksampler(["90", 0], ["3", 0], ["2", 0]) + graph["30"] = { + "class_type": "VAEDecode", + "inputs": {"samples": ["63", 0], "vae": ["1", 2]}, + } + graph["98"] = { + "class_type": "SaveImage", + "inputs": {"filename_prefix": "draft", "images": ["30", 0]}, + } + graph["110"] = {"class_type": "VendorGpuCleaner", "inputs": {"anything": ["63", 0]}} + graph["108"] = { + "class_type": "LatentUpscaleBy", + "inputs": { + "upscale_method": "nearest-exact", + "scale_by": 1.2, + "samples": ["110", 0], + }, + } + graph["114"] = _ksampler(second_positive or ["90", 0], ["3", 0], ["108", 0], 0.5) + graph["113"] = { + "class_type": "VAEDecode", + "inputs": {"samples": ["114", 0], "vae": ["1", 2]}, + } + graph["115"] = { + "class_type": "VendorGpuCleaner", + "inputs": {"anything": ["113", 0]}, + } + graph["107"] = { + "class_type": "SaveImage", + "inputs": {"filename_prefix": "final", "images": ["115", 0]}, + } + if second_positive is not None: + graph["91"] = _encode(BRANCH_TEXTS[1]) + return graph + + +def hidden_earlier_prompt(override=False): + """Review shape: the skipped same-links stage continues a different prompt. + + 10 (cat) -> 11 (dog) -> unlisted LatentBlend -> 13 (dog, same links as 11) + -> VAEDecode -> SaveImage ``out``. With ``override``, 11 is a + ``KSampler (Efficient)`` with a linked ``script``. + """ + graph = _base() + graph["5"] = _encode("cat X") + graph["6"] = _encode("dog Y") + graph["10"] = _ksampler(["5", 0], ["3", 0], ["2", 0]) + graph["11"] = _ksampler(["6", 0], ["3", 0], ["10", 0]) + if override: + graph["11"] = _ksampler(["6", 0], ["3", 0], ["2", 0]) + graph["11"]["class_type"] = "KSampler (Efficient)" + graph["11"]["inputs"]["script"] = ["40", 0] + graph["40"] = {"class_type": "XY Plot", "inputs": {"grid_spacing": 0}} + graph["12"] = { + "class_type": "LatentBlend", + "inputs": {"samples1": ["11", 0], "samples2": ["2", 0], "blend_factor": 0.5}, + } + graph["13"] = _ksampler(["6", 0], ["3", 0], ["12", 0], 0.5) + graph["14"] = { + "class_type": "VAEDecode", + "inputs": {"samples": ["13", 0], "vae": ["1", 2]}, + } + graph["15"] = { + "class_type": "SaveImage", + "inputs": {"filename_prefix": "out", "images": ["14", 0]}, + } + return graph + + +def deep_prefixes(chain): + """Review shape: two branches whose savers both trace the prefix ``dup``. + + Saver A's prefix runs through ``chain`` DisplayText nodes; saver B's + through one more, so a short visit allowance can finish only one trace. + """ + graph = branch_bench(prefixes=[["p0", 0], ["q", 0], "x_1", "x_2"]) + graph["pz"] = {"class_type": "StringConstant", "inputs": {"string": "dup"}} + previous = "pz" + for index in range(chain - 1, -1, -1): + graph[f"p{index}"] = { + "class_type": "DisplayText", + "inputs": {"text": [previous, 0]}, + } + previous = f"p{index}" + graph["q"] = {"class_type": "DisplayText", "inputs": {"text": ["p0", 0]}} + return graph + + +def first_stage_variant(kind): + """``two_stage_same_conditioning`` whose first stage (63) is not plain. + + ``no-latent`` drops its latent input (still plain); ``literal-latent``, + ``missing-latent``, ``cyclic-latent``, ``stage-shaped`` and ``detailer`` + each make it something other than a plain first stage, so the later + stage stays unattributed. + """ + graph = two_stage_same_conditioning() + inputs = graph["63"]["inputs"] + if kind == "no-latent": + del inputs["latent_image"] + elif kind == "literal-latent": + inputs["latent_image"] = "latent" + elif kind == "missing-latent": + inputs["latent_image"] = ["999", 0] + elif kind == "cyclic-latent": + graph["70"] = {"class_type": "VendorLatentOp", "inputs": {"samples": ["63", 0]}} + inputs["latent_image"] = ["70", 0] + elif kind == "stage-shaped": + graph["70"] = { + "class_type": "VendorSampler", + "inputs": { + "model": ["1", 0], + "positive": ["90", 0], + "latent_image": ["2", 0], + }, + } + inputs["latent_image"] = ["70", 0] + elif kind == "detailer": + graph["63"]["class_type"] = "FaceDetailer" + inputs["image"] = ["30", 0] + return graph diff --git a/tests/test_api_diagnostics_report.py b/tests/test_api_diagnostics_report.py new file mode 100644 index 00000000..f1422dbb --- /dev/null +++ b/tests/test_api_diagnostics_report.py @@ -0,0 +1,409 @@ +"""The shareable diagnostic report (#329, py/api/diagnostics_report.py). + +``GET /prompt_manager/system/diagnostics`` builds the report on the server +from an explicit list of fields: the project version, the four legacy checks, +public paths only and no secret. A scrub replaces anything that still looks +like an absolute path or holds the CivitAI key and counts it in ``redacted``; +these tests require ``redacted == 0`` so a builder mistake fails instead of +being hidden. +""" + +import json +import ntpath +import os +import posixpath +import re +import sqlite3 +import sys +import unittest +from unittest import mock +from unittest.mock import MagicMock + +_mock_server = MagicMock() +_mock_server.PromptServer.instance.routes = MagicMock() +sys.modules.setdefault("server", _mock_server) + +sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) + +from py.api import admin, diagnostics_report # noqa: E402 +from py.api.diagnostics_report import OUTSIDE, report_path, scrub # noqa: E402 +from py.config import ( + GalleryConfig, + IntegrationConfig, + PromptManagerConfig, +) # noqa: E402 + +try: + from tests.test_api_log_cleanup import LogCleanupTestCase # noqa: E402 +except ImportError: # discovered with tests/ as the top-level directory + from test_api_log_cleanup import LogCleanupTestCase # noqa: E402 + +REPORT = "/prompt_manager/system/diagnostics" +KEY = "civitai-secret-0123456789abcdef" +SEEDED_PATHS = ( + "/home/someone/private/LoraManager", + "/srv/someone/renders", + "C:\\Users\\someone\\Documents\\renders", + "D:/Users/someone/prompts.db", + "\\\\nas\\share\\someone\\renders", +) +_WINDOWS_ABSOLUTE = re.compile(r"^[A-Za-z]:[\\/]") +TOP_KEYS = { + "success", + "generated_at", + "version", + "python", + "platform", + "viewerjs", + "checks", + "database_info", + "sources", + "logging", + "health", + "config", + "redacted", +} +CONFIG = { + "database": {"enable_duplicate_detection", "enable_auto_save"}, + "web_ui": { + "result_timeout", + "show_test_button", + "webui_display_mode", + "infinite_scroll", + }, + "performance": { + "max_search_results", + "enable_fuzzy_search", + "auto_backup_interval", + "worker_threads", + }, + "gallery": { + "processing_delay", + "prompt_timeout", + "cleanup_interval", + "auto_cleanup_missing_files", + "max_image_age_days", + "max_concurrent_processing", + "metadata_extraction_timeout", + }, + "integrations": {"lora_manager_enabled", "has_civitai_api_key"}, +} + + +def _strings(value): + if isinstance(value, str): + yield value + elif isinstance(value, dict): + for key, item in value.items(): + yield str(key) + yield from _strings(item) + elif isinstance(value, (list, tuple)): + for item in value: + yield from _strings(item) + + +class DiagnosticsReportTestCase(LogCleanupTestCase): + """The admin app with its logger manager on a temporary log folder.""" + + async def get_application(self): + app = await super().get_application() + saved = IntegrationConfig.get_config() + self.addCleanup(IntegrationConfig.update_config, saved) + return app + + async def report(self, status=200): + response = await self.client.request("GET", REPORT) + text = await response.text() + self.assertEqual(response.status, status, text) + return json.loads(text), text + + def seed_secrets(self): + IntegrationConfig.update_config( + { + "lora_manager": { + "enabled": True, + "path": SEEDED_PATHS[0], + "civitai_api_key": KEY, + } + } + ) + GalleryConfig.MONITORING_DIRECTORIES = list(SEEDED_PATHS[1:3]) + [ + SEEDED_PATHS[4] + ] + PromptManagerConfig.update_config( + {"database": {"default_path": SEEDED_PATHS[3]}} + ) + + def assert_no_paths_or_key(self, report, text): + self.assertNotIn(KEY, text) + self.assertNotIn(self.tmpdir, text) + self.assertNotIn(self.tmpdir.replace("\\", "/"), text) + for seeded in SEEDED_PATHS: + self.assertNotIn(seeded, text) + self.assertNotIn(json.dumps(seeded)[1:-1], text) + self.assertNotIn("someone", text) + for value in _strings(report): + self.assertFalse(posixpath.isabs(value), value) + self.assertFalse(ntpath.isabs(value), value) + self.assertIsNone(_WINDOWS_ABSOLUTE.match(value), value) + self.assertFalse(value.startswith("\\\\"), value) + + +class TestReport(DiagnosticsReportTestCase): + async def test_report_has_version_viewerjs_and_the_four_checks(self): + report, _text = await self.report() + self.assertEqual(set(report), TOP_KEYS) + self.assertTrue(report["success"]) + with open( + os.path.join(os.path.dirname(os.path.dirname(__file__)), "pyproject.toml"), + encoding="utf-8", + ) as handle: + version = re.search(r'version\s*=\s*["\']([^"\']+)["\']', handle.read()) + self.assertEqual(report["version"], version.group(1)) + self.assertRegex(report["viewerjs"], r"^\d+\.\d+\.\d+$") + self.assertRegex(report["python"], r"^3\.\d+\.\d+") + self.assertEqual(set(report["platform"]), {"system", "release"}) + self.assertEqual( + set(report["checks"]), + {"database", "dependencies", "comfyui_output", "image_monitor"}, + ) + self.assertEqual(report["checks"]["database"]["status"], "ok") + self.assertEqual( + set(report["sources"]), + {"configured", "effective", "watching", "unavailable"}, + ) + self.assertEqual(set(report["logging"]), {"config", "stats"}) + self.assertIsNone(report["health"]) + self.assertEqual(report["redacted"], 0) + self.assertRegex(report["generated_at"], r"^\d{4}-\d\d-\d\dT\d\d:\d\d:\d\d$") + + async def test_report_has_no_secret_or_absolute_path(self): + self.seed_secrets() + with mock.patch.object( + admin.sqlite3, + "connect", + side_effect=sqlite3.DatabaseError("file is not a database"), + ): + report, text = await self.report() + self.assertEqual(report["checks"]["database"]["status"], "error") + self.assertTrue(report["config"]["integrations"]["has_civitai_api_key"]) + self.assertTrue(report["config"]["integrations"]["lora_manager_enabled"]) + self.assertEqual(report["sources"]["configured"], 3) + self.assert_no_paths_or_key(report, text) + self.assertEqual(report["redacted"], 0) + + async def test_report_leaves_get_config_unchanged(self): + self.seed_secrets() + before = json.dumps(PromptManagerConfig.get_config(), sort_keys=True) + directories = GalleryConfig.MONITORING_DIRECTORIES + await self.report() + self.assertEqual( + json.dumps(PromptManagerConfig.get_config(), sort_keys=True), before + ) + self.assertIs(GalleryConfig.MONITORING_DIRECTORIES, directories) + self.assertEqual(IntegrationConfig.CIVITAI_API_KEY, KEY) + + def test_outside_path_reads_outside_comfyui(self): + inside = os.path.join(str(self.comfy_dir), "user", "__promptmanager", "logs") + self.assertEqual(report_path(inside), "user/__promptmanager/logs") + self.assertEqual( + report_path(os.path.join(str(self.outside_dir), "vito")), "outside ComfyUI" + ) + self.assertEqual(report_path(""), "") + self.assertEqual(report_path(None), "") + + def test_a_filesystem_root_anchor_never_makes_a_path_public(self): + # --output-directory /renders makes "/" an anchor; a path outside + # ComfyUI must still read "outside ComfyUI", never "home//...". + root = os.path.abspath(os.sep) + anchors = [str(self.comfy_dir), root] + with mock.patch.object(GalleryConfig, "path_anchors", return_value=anchors): + self.assertEqual( + report_path(os.path.join(str(self.outside_dir), "x")), OUTSIDE + ) + self.assertEqual( + report_path(os.path.join(str(self.comfy_dir), "output")), "output" + ) + + def test_scrub_removes_the_home_folder_without_its_root(self): + home = os.path.expanduser("~") + relative = os.path.splitdrive(home)[1].lstrip("\\/").replace("\\", "/") + cleaned = scrub({"a": f"{relative}/area/prompts.db", "redacted": 0}, None) + self.assertEqual(cleaned, {"a": "[removed]", "redacted": 1}) + + def test_the_home_folder_is_matched_as_a_whole_path_part(self): + with mock.patch.object( + diagnostics_report.os.path, "expanduser", return_value="/root" + ): + cleaned = scrub( + { + "a": "output/rootfiles", + "b": "output/root/x", + "c": "see /root/x", + "redacted": 0, + }, + None, + ) + self.assertEqual(cleaned["a"], "output/rootfiles") + # The home folder's name is a whole path part here: removed. + self.assertEqual(cleaned["b"], "[removed]") + self.assertEqual(cleaned["c"], "[removed]") + self.assertEqual(cleaned["redacted"], 2) + + async def test_report_reads_only_the_temporary_log_folder(self): + self.write("prompt_manager.log.1", b"x" * 1234) + report, _text = await self.report() + stats = report["logging"]["stats"] + self.assertEqual(stats["log_files_count"], 2) + self.assertEqual( + stats["total_log_size"], + 1234 + os.path.getsize(self.path("prompt_manager.log")), + ) + + def test_an_ancestor_of_home_is_never_an_anchor_on_linux(self): + anchored = diagnostics_report.anchored_path + home = "/home/someone" + anchors = ["/home", "/opt/ComfyUI"] + self.assertEqual( + anchored("/home/someone/renders/a.png", anchors, home, posixpath), OUTSIDE + ) + self.assertEqual( + anchored("/home/other/renders", anchors, home, posixpath), OUTSIDE + ) + self.assertEqual( + anchored("/opt/ComfyUI/output", anchors, home, posixpath), "output" + ) + + def test_an_ancestor_of_home_is_never_an_anchor_on_windows(self): + anchored = diagnostics_report.anchored_path + home = ntpath.normcase("C:\\Users\\someone") + anchors = [ntpath.normcase(a) for a in ("C:\\Users", "C:\\", "D:\\ComfyUI")] + path = ntpath.normcase("C:\\Users\\someone\\renders\\a.png") + self.assertEqual(anchored(path, anchors, home, ntpath), OUTSIDE) + inside = ntpath.normcase("D:\\ComfyUI\\output\\x") + self.assertEqual(anchored(inside, anchors, home, ntpath), "output/x") + + def test_an_anchor_that_is_home_names_no_user(self): + anchored = diagnostics_report.anchored_path + home = "/home/someone" + self.assertEqual( + anchored("/home/someone/ComfyUI/output", [home], home, posixpath), + "ComfyUI/output", + ) + self.assertEqual( + anchored( + "/home/someone/ComfyUI/output", + [home, "/home/someone/ComfyUI"], + home, + posixpath, + ), + "output", + ) + + def test_the_home_folder_name_is_removed_only_from_paths(self): + with mock.patch.object( + diagnostics_report.os.path, "expanduser", return_value="/home/info" + ): + cleaned = scrub({"level": "INFO", "p": "logs/info/x", "redacted": 0}, None) + self.assertEqual(cleaned, {"level": "INFO", "p": "[removed]", "redacted": 1}) + + def test_scrub_removes_the_home_folder_name(self): + with mock.patch.object( + diagnostics_report.os.path, "expanduser", return_value="/home/someone" + ): + cleaned = scrub( + {"a": "someone/renders", "b": "someones", "redacted": 0}, None + ) + self.assertEqual(cleaned["a"], "[removed]") + self.assertEqual(cleaned["b"], "someones") + + def test_scrub_removes_a_leaked_path_and_counts_it(self): + leaked = { + "a": "/home/someone/x", + "b": ["C:\\Users\\someone", "D:/data", "\\\\nas\\share", "ok"], + "c": {"d": f"token {KEY} here", "e": 3, "f": None, "g": "relative/path"}, + "redacted": 0, + } + cleaned = scrub(leaked, KEY) + self.assertEqual(cleaned["redacted"], 5) + self.assertEqual(cleaned["a"], "[removed]") + self.assertEqual(cleaned["b"], ["[removed]"] * 3 + ["ok"]) + self.assertEqual( + cleaned["c"], {"d": "[removed]", "e": 3, "f": None, "g": "relative/path"} + ) + # A short key is not searched for (it would match ordinary words). + self.assertEqual(scrub({"x": "abc", "redacted": 0}, "abc")["redacted"], 0) + + async def test_report_refused_while_exclusive_job_runs(self): + async with self.api._jobs.hold( + "restore", "Database restore", admission="exclusive" + ) as restore: + report, _text = await self.report(status=409) + self.assertEqual(report["code"], "busy") + self.assertEqual( + report["running"], {"id": restore.id, "title": "Database restore"} + ) + + async def test_report_lists_config_only_keys(self): + self.seed_secrets() + report, _text = await self.report() + self.assertEqual({k: set(v) for k, v in report["config"].items()}, CONFIG) + self.assertNotIn("default_path", json.dumps(report["config"])) + self.assertNotIn("directories", json.dumps(report["config"])) + self.assertNotIn( + "civitai_api_key", + json.dumps(report["config"]).replace("has_civitai_api_key", ""), + ) + + async def test_report_logging_has_public_directory(self): + report, _text = await self.report() + stats = report["logging"]["stats"] + self.assertFalse(posixpath.isabs(stats["log_directory"])) + self.assertIn("level", report["logging"]["config"]) + + async def test_report_survives_an_unreadable_viewerjs_provenance(self): + with mock.patch.object( + diagnostics_report, + "VIEWERJS_PROVENANCE", + os.path.join(self.tmpdir, "nope.json"), + ): + report, _text = await self.report() + self.assertEqual(report["viewerjs"], "unknown") + + async def test_a_build_failure_is_coded_without_details(self): + with mock.patch.object( + self.api, "build_report", side_effect=RuntimeError(self.tmpdir) + ): + with self.assertLogs("prompt_manager", "ERROR"): + report, text = await self.report(status=500) + self.assertNotIn(self.tmpdir, text) + self.assertFalse(report["success"]) + + +class TestLegacyDiagnostics(DiagnosticsReportTestCase): + async def test_legacy_diagnostics_keeps_its_four_checks(self): + response = await self.client.request("GET", "/prompt_manager/diagnostics") + data = await response.json() + self.assertEqual(response.status, 200) + self.assertEqual(set(data), {"success", "diagnostics"}) + self.assertEqual( + set(data["diagnostics"]), + {"database", "dependencies", "comfyui_output", "image_monitor"}, + ) + report, _text = await self.report() + self.assertEqual(report["checks"]["database"], data["diagnostics"]["database"]) + self.assertEqual( + report["checks"]["dependencies"], data["diagnostics"]["dependencies"] + ) + + async def test_both_routes_build_their_checks_with_one_helper(self): + with mock.patch.object( + admin, "legacy_checks", wraps=admin.legacy_checks + ) as spy: + await self.client.request("GET", "/prompt_manager/diagnostics") + await self.report() + self.assertEqual(spy.call_count, 2) + + +if __name__ == "__main__": + unittest.main() diff --git a/tests/test_api_log_cleanup.py b/tests/test_api_log_cleanup.py new file mode 100644 index 00000000..d9287088 --- /dev/null +++ b/tests/test_api_log_cleanup.py @@ -0,0 +1,419 @@ +"""Reviewed rotated-log cleanup as a maintenance plan (#329, py/api/log_cleanup.py). + +``POST /maintenance/preview {operation: "rotated_logs"}`` lists exactly the +rotated copies Rule R allows and writes nothing; ``POST /maintenance/apply`` +deletes exactly those as a ``maintenance`` job (admission ``read``), or +nothing, failing ``plan-changed``, when any of them changed after the review. + +Every test runs on a real ``PromptManagerLogger`` whose log folder is a +temporary folder, never the real one. +""" + +import asyncio +import json +import logging +import ntpath +import os +import posixpath +import re +import sys +import threading +import unittest +import unittest.mock as mock + +sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) + +from py.api.maintenance_plans import PlanStore # noqa: E402 +from utils import logging_config # noqa: E402 +from utils.logging_config import PromptManagerLogger, get_logger_manager # noqa: E402 + +try: + from tests.open_handles import assert_closed # noqa: E402 + from tests.test_api_maintenance import MaintenanceAPITestCase # noqa: E402 +except ImportError: # discovered with tests/ as the top-level directory + from open_handles import assert_closed # noqa: E402 + from test_api_maintenance import MaintenanceAPITestCase # noqa: E402 + +WAIT = 10 +PREVIEW = "/prompt_manager/maintenance/preview" +APPLY = "/prompt_manager/maintenance/apply" +CHANGED = "The log files changed since the review; nothing was deleted. Review again." +MEDIA = "Deletes only the listed log files. No image, video or library record changes." +_WINDOWS_ABSOLUTE = re.compile(r"^[A-Za-z]:[\\/]") + + +def _strings(value): + if isinstance(value, str): + yield value + elif isinstance(value, dict): + for item in value.values(): + yield from _strings(item) + elif isinstance(value, (list, tuple)): + for item in value: + yield from _strings(item) + + +class LogCleanupTestCase(MaintenanceAPITestCase): + async def get_application(self): + app = await super().get_application() + package = os.path.join(self.tmpdir, "pkg") + os.makedirs(os.path.join(package, "utils")) + fake_file = os.path.join(package, "utils", "logging_config.py") + with mock.patch.object(logging_config, "__file__", fake_file): + self.manager = object.__new__(PromptManagerLogger) # bypass singleton + self.manager.__init__() + self.addCleanup(self._restore_global_logging) + self.manager.update_config({"console_logging": False}) + self._only_this_thread() + self.log_dir = str(self.manager.log_dir) + self.app_logger = logging.getLogger("prompt_manager.log_cleanup_test") + self.app_logger.info("active log line") + self.api._get_logger_manager = lambda: self.manager + self.outside = os.path.join(self.tmpdir, "link-targets") + os.makedirs(self.outside) + return app + + def _only_this_thread(self): + """Only this test's records reach the temporary log (not other threads').""" + this_thread = threading.get_ident() + for handler in self.manager.logger.handlers: + handler.filters.clear() + handler.addFilter(lambda record: record.thread == this_thread) + + def _restore_global_logging(self): + for handler in logging.getLogger("prompt_manager").handlers[:]: + handler.close() + assert_closed(self, self.log_dir) + get_logger_manager()._setup_loggers() + + def path(self, name): + return os.path.join(self.log_dir, name) + + def write(self, name, data=b"rotated\n"): + with open(self.path(name), "wb") as handle: + handle.write(data) + + def symlink(self, name): + target = os.path.join(self.outside, "secret.txt") + with open(target, "wb") as handle: + handle.write(b"secret " * 100) + try: + os.symlink(target, self.path(name)) + except (OSError, NotImplementedError): # pragma: no cover - no privilege + return False + return True + + def names(self): + return sorted(os.listdir(self.log_dir)) + + def snapshot(self): + """Every entry but the active log, with its bytes (None for a folder).""" + state = {} + for name in self.names(): + if name == "prompt_manager.log": + continue + path = self.path(name) + if os.path.islink(path): + state[name] = ("link", os.readlink(path)) + elif os.path.isdir(path): + state[name] = None + else: + with open(path, "rb") as handle: + state[name] = handle.read() + return state + + def seed(self): + """CUJ 5's folder: three rotated copies, a .bak, a folder and a link.""" + self.write("prompt_manager.log.1", b"a" * 1000) + self.write("prompt_manager.log.2", b"b" * 2000) + self.write("prompt_manager.log.3", b"c" * 3000) + self.write("prompt_manager.log.bak", b"mine") + os.makedirs(self.path("prompt_manager.log.9")) + return self.symlink("prompt_manager.log.4") + + async def preview(self, status=200, **body): + return await self.post( + PREVIEW, {"operation": "rotated_logs", "options": {}, **body}, status + ) + + async def apply(self, token, status=202): + return await self.post(APPLY, {"token": token}, status) + + async def run_apply(self, plan): + body = await self.apply(plan["token"]) + job = self.api._jobs.get(body["job"]["id"]) + await asyncio.wait_for(asyncio.shield(job.task), WAIT) + return body["job"], job + + +class TestPreview(LogCleanupTestCase): + async def test_preview_lists_only_rotated_copies(self): + linked = self.seed() + plan = await self.preview() + self.assertEqual( + set(plan), + { + "success", + "token", + "operation", + "expires_at", + "scope", + "protected", + "backup", + "media", + "details", + }, + ) + self.assertEqual(plan["operation"], "rotated_logs") + self.assertEqual( + plan["scope"], {"count": 3, "label": "3 rotated log copies · 5.9 KB"} + ) + self.assertEqual( + [row["label"] for row in plan["details"]], + ["prompt_manager.log.1", "prompt_manager.log.2", "prompt_manager.log.3"], + ) + self.assertRegex( + plan["details"][2]["detail"], r"^2\.9 KB · \d{4}-\d\d-\d\d \d\d:\d\d$" + ) + reasons = ["Kept: the active log"] + if linked: + reasons.append("Kept: 1 link") + reasons.append("Kept: 2 other files") + self.assertEqual( + plan["protected"], {"count": len(reasons) + 1, "reasons": reasons} + ) + self.assertEqual( + plan["backup"], + {"policy": "none", "destination_label": None, "expected_bytes": None}, + ) + self.assertEqual(plan["media"], {"deletes_files": True, "label": MEDIA}) + self.assertTrue(plan["expires_at"].endswith("+00:00")) + self.assertNotIn("mtime_ns", json.dumps(plan)) + + async def test_preview_writes_nothing(self): + self.seed() + before = self.snapshot() + await self.preview() + self.assertEqual(self.snapshot(), before) + + async def test_preview_has_no_paths(self): + self.seed() + plan = await self.preview() + for text in _strings(plan): + self.assertFalse(posixpath.isabs(text), text) + self.assertFalse(ntpath.isabs(text), text) + self.assertIsNone(_WINDOWS_ABSOLUTE.match(text), text) + + async def test_preview_rejects_non_empty_options(self): + for options in ({"all": True}, [], "x"): + with self.subTest(options=options): + reply = await self.preview(status=400, options=options) + self.assertEqual(reply["code"], "invalid-request") + + async def test_preview_too_large_is_413(self): + self.seed() + self.api._maintenance_plans = PlanStore(max_bytes=10) + reply = await self.preview(status=413) + self.assertEqual( + reply, + { + "success": False, + "code": "too-large", + "error": "Too many log files to review at once.", + }, + ) + + async def test_empty_folder_plan_has_scope_zero(self): + plan = await self.preview() + self.assertEqual(plan["scope"], {"count": 0, "label": "No rotated log copies"}) + self.assertEqual(plan["details"], []) + self.assertEqual( + plan["protected"], {"count": 1, "reasons": ["Kept: the active log"]} + ) + + async def test_preview_refused_while_an_exclusive_job_runs(self): + async with self.api._jobs.hold( + "restore", "Database restore", admission="exclusive" + ): + reply = await self.preview(status=409) + self.assertEqual(reply["code"], "busy") + + +class TestApply(LogCleanupTestCase): + async def test_apply_deletes_exactly_the_reviewed_files(self): + linked = self.seed() + plan = await self.preview() + summary, job = await self.run_apply(plan) + self.assertEqual(summary["kind"], "maintenance") + self.assertEqual(summary["title"], "Rotated log copies") + self.assertEqual(summary["admission"], "read") + self.assertFalse(summary["cancellable"]) + self.assertEqual(summary["scope"], {"operation": "rotated_logs"}) + self.assertEqual(job.state, "finished", job.log) + self.assertEqual( + job.counters, + {"changed": 3, "protected": plan["protected"]["count"], "errors": 0}, + ) + expected = [ + "prompt_manager.log", + "prompt_manager.log.9", + "prompt_manager.log.bak", + ] + if linked: + expected.append("prompt_manager.log.4") + self.assertEqual(self.names(), sorted(expected)) + self.assertEqual(job.status_line, "Deleted 3 rotated log copies") + report = json.dumps(job.report()) + self.assertNotIn(self.tmpdir, report) + + async def test_apply_rows_name_each_file(self): + self.seed() + plan = await self.preview() + _summary, job = await self.run_apply(plan) + self.assertEqual( + job.outcomes["changed"], + [ + { + "path": "prompt_manager.log.1", + "root": "", + "root_index": None, + "detail": "Deleted · 1000 bytes", + }, + { + "path": "prompt_manager.log.2", + "root": "", + "root_index": None, + "detail": "Deleted · 2.0 KB", + }, + { + "path": "prompt_manager.log.3", + "root": "", + "root_index": None, + "detail": "Deleted · 2.9 KB", + }, + ], + ) + log = "\n".join(job.log) + for n in (1, 2, 3): + self.assertIn(f"prompt_manager.log.{n}", log) + + async def test_apply_after_rollover_fails_plan_changed_and_deletes_nothing(self): + self.seed() + plan = await self.preview() + handler = next( + h + for h in self.manager.logger.handlers + if isinstance(h, logging.FileHandler) + ) + handler.acquire() + try: + handler.doRollover() # every listed name now holds another file + finally: + handler.release() + before = self.snapshot() + _summary, job = await self.run_apply(plan) + self.assertEqual(job.state, "failed") + self.assertEqual(job.scope["failure"], "plan-changed") + self.assertEqual(job.status_line, CHANGED) + self.assertEqual(job.counters["changed"], 0) + self.assertEqual(self.snapshot(), before) + + async def test_apply_reports_a_file_in_use(self): + self.seed() + plan = await self.preview() + real_unlink = os.unlink + held = self.path("prompt_manager.log.2") + + def unlink(path, *args, **kwargs): + if os.fspath(path) == held: + error = PermissionError( + 13, + "The process cannot access the file because it is being " + "used by another process", + held, + ) + error.winerror = 32 + raise error + return real_unlink(path, *args, **kwargs) + + with mock.patch.object(logging_config.os, "unlink", unlink): + _summary, job = await self.run_apply(plan) + self.assertEqual(job.counters["changed"], 2) + self.assertEqual(job.counters["errors"], 1) + [row] = job.outcomes["errors"] + self.assertEqual(row["path"], "prompt_manager.log.2") + self.assertIn("being used by another process", row["detail"]) + self.assertNotIn(self.tmpdir, json.dumps(job.report())) + self.assertIn("prompt_manager.log.2", self.names()) + self.assertEqual( + job.status_line, "Deleted 2 rotated log copies, 1 could not be deleted" + ) + + async def test_token_is_single_use(self): + self.seed() + plan = await self.preview() + summary, _job = await self.run_apply(plan) + again = await self.apply(plan["token"], 409) + self.assertEqual(again["code"], "plan-used") + self.assertEqual( + again["job"], {"id": summary["id"], "title": "Rotated log copies"} + ) + + async def test_apply_runs_beside_a_scan(self): + self.seed() + plan = await self.preview() + async with self.api._jobs.hold("scan", "Metadata scan", admission="records"): + _summary, job = await self.run_apply(plan) + self.assertEqual(job.state, "finished", job.log) + self.assertNotIn("prompt_manager.log.1", self.names()) + + async def test_apply_refused_while_restore_runs(self): + self.seed() + plan = await self.preview() + async with self.api._jobs.hold( + "restore", "Database restore", admission="exclusive" + ) as restore: + busy = await self.apply(plan["token"], 409) + self.assertEqual(busy["code"], "busy") + self.assertEqual( + busy["running"], {"id": restore.id, "title": "Database restore"} + ) + self.assertIn("prompt_manager.log.1", self.names()) + # The refused apply kept the token. + _summary, job = await self.run_apply(plan) + self.assertEqual(job.state, "finished", job.log) + + async def test_apply_refused_beside_another_maintenance_job(self): + self.seed() + plan = await self.preview() + async with self.api._jobs.hold( + "maintenance", "Optimize database", admission="records" + ): + busy = await self.apply(plan["token"], 409) + self.assertEqual(busy["code"], "busy") + + async def test_active_log_survives_and_keeps_growing(self): + self.seed() + plan = await self.preview() + await self.run_apply(plan) + self.app_logger.info("written after the cleanup") + with open(self.path("prompt_manager.log"), "rb") as handle: + content = handle.read() + self.assertIn(b"active log line", content) + self.assertIn(b"written after the cleanup", content) + + async def test_an_unexpected_failure_fails_the_job_without_details(self): + self.seed() + plan = await self.preview() + with mock.patch.object( + self.manager, "delete_rotated", side_effect=RuntimeError(self.tmpdir) + ): + with self.assertLogs("prompt_manager", "ERROR"): + _summary, job = await self.run_apply(plan) + self.assertEqual(job.state, "failed") + self.assertNotIn(self.tmpdir, json.dumps(job.report())) + self.assertEqual(job.status_line, "The log cleanup failed.") + + +if __name__ == "__main__": + unittest.main() diff --git a/tests/test_api_logging.py b/tests/test_api_logging.py index 97c18c4c..8e0e825e 100644 --- a/tests/test_api_logging.py +++ b/tests/test_api_logging.py @@ -5,9 +5,10 @@ import os import shutil import sys import tempfile +import threading import unittest from pathlib import Path -from unittest.mock import MagicMock +from unittest.mock import MagicMock, patch _mock_server = MagicMock() _mock_server.PromptServer.instance.routes = MagicMock() @@ -20,7 +21,9 @@ from aiohttp.test_utils import AioHTTPTestCase # noqa: E402 from database.operations import PromptDatabase # noqa: E402 from py.api import PromptManagerAPI # noqa: E402 +from py.api import logging_routes # noqa: E402 from py.api.logging_routes import LOG_CONFIG_KEYS # noqa: E402 +from utils import logging_config # noqa: E402 class FakeLoggerManager: @@ -38,11 +41,16 @@ class FakeLoggerManager: } self.update_calls = [] self.logs = [] + self.threads = {} def update_config(self, new_config): + self.threads["update_config"] = threading.current_thread() self.update_calls.append(dict(new_config)) self.config.update(new_config) + def log_file_entry(self, name): + return logging_config.log_file_entry(self.log_dir, name) + def get_config(self): return dict(self.config) @@ -54,23 +62,36 @@ class FakeLoggerManager: def get_log_files(self): files = [] - for path in sorted(self.log_dir.glob("*.log*")): + for row in sorted( + logging_config.scan_log_folder(self.log_dir), key=lambda r: r["name"] + ): + if row["_dir"]: + continue files.append( { - "filename": path.name, - "path": str(path), - "size": path.stat().st_size, + "filename": row["name"], + "path": str(self.log_dir / row["name"]), + "size": row["size"], "modified": "2026-10-07T00:00:00", - "is_main": path.name == "prompt_manager.log", + "is_main": row["kind"] == "active", + "kind": row["kind"], } ) return files def truncate_logs(self): + """Rule R: empty the active log, delete rotated copies, keep the rest.""" + self.threads["truncate_logs"] = threading.current_thread() truncated = [] - for path in self.log_dir.glob("prompt_manager.log*"): - path.write_text("") - truncated.append(path.name) + for row in logging_config.scan_log_folder(self.log_dir): + path = self.log_dir / row["name"] + if row["kind"] == "active": + path.write_text("") + elif row["kind"] == "rotated": + path.unlink() + else: + continue + truncated.append(row["name"]) return {"truncated": truncated, "errors": []} def get_log_stats(self): @@ -378,12 +399,129 @@ class TestLogFilesAndDownload(LoggingAPITestCase): self.assertEqual(resp.status, 400) async def test_download_read_failure_is_500(self): - (self.log_dir / "dir.log").mkdir() - resp = await self.client.request("GET", "/prompt_manager/logs/download/dir.log") + # Rewritten (#329): a directory is now a 404; inject a read error. + (self.log_dir / "prompt_manager.log").write_bytes(b"x") + secret = os.path.join(self.tmpdir, "logs", "prompt_manager.log") + + def fail(path): + raise PermissionError(13, "Permission denied", secret) + + with patch.object(logging_routes, "_read_log_bytes", fail): + resp = await self.client.request( + "GET", "/prompt_manager/logs/download/prompt_manager.log" + ) body = await resp.text() self.assertEqual(resp.status, 500) self.assertNotIn(self.tmpdir, body) + async def test_directory_download_is_404(self): + (self.log_dir / "dir.log").mkdir() + resp = await self.client.request("GET", "/prompt_manager/logs/download/dir.log") + self.assertEqual(resp.status, 404) + + async def test_download_refuses_a_symlink(self): + secret = Path(self.tmpdir) / "secret.txt" + secret.write_text("the key") + try: + os.symlink(secret, self.log_dir / "prompt_manager.log.3") + except (OSError, NotImplementedError): # pragma: no cover + self.skipTest("this account cannot create symlinks") + resp = await self.client.request( + "GET", "/prompt_manager/logs/download/prompt_manager.log.3" + ) + body = await resp.text() + self.assertEqual(resp.status, 404) + self.assertNotIn("the key", body) + + async def test_download_refuses_a_hard_link(self): + secret = Path(self.tmpdir) / "secret.txt" + secret.write_text("the key") + try: + os.link(secret, self.log_dir / "prompt_manager.log.3") + except (OSError, NotImplementedError): # pragma: no cover + self.skipTest("this filesystem cannot create hard links") + resp = await self.client.request( + "GET", "/prompt_manager/logs/download/prompt_manager.log.3" + ) + self.assertEqual(resp.status, 404) + self.assertNotIn("the key", await resp.text()) + + async def test_download_refuses_a_file_swapped_after_it_was_listed(self): + (self.log_dir / "prompt_manager.log.2").write_text("listed") + other = Path(self.tmpdir) / "other.txt" + other.write_text("swapped in") + real_entry = self.manager.log_file_entry + + def entry_then_swap(name): + path = real_entry(name) + os.replace(other, path) # another file now has the listed name + return path + + self.manager.log_file_entry = entry_then_swap + resp = await self.client.request( + "GET", "/prompt_manager/logs/download/prompt_manager.log.2" + ) + self.assertEqual(resp.status, 404) + self.assertNotIn("swapped in", await resp.text()) + + @unittest.skipUnless(hasattr(os, "mkfifo"), "FIFOs are POSIX only") + async def test_download_refuses_a_fifo_without_blocking(self): + os.mkfifo(self.log_dir / "pipe.log") + resp = await self.client.request( + "GET", "/prompt_manager/logs/download/pipe.log" + ) + self.assertEqual(resp.status, 404) + + async def test_download_reads_off_the_loop(self): + (self.log_dir / "prompt_manager.log").write_bytes(b"line\n") + seen = [] + real = logging_routes._read_log_bytes + + def read(path): + seen.append(threading.current_thread()) + return real(path) + + with patch.object(logging_routes, "_read_log_bytes", read): + resp = await self.client.request( + "GET", "/prompt_manager/logs/download/prompt_manager.log" + ) + self.assertEqual(resp.status, 200) + self.assertEqual(len(seen), 1) + self.assertIsNot(seen[0], threading.current_thread()) + + async def test_download_keeps_its_response_shape(self): + (self.log_dir / "prompt_manager.log.2").write_bytes(b"a\nb\n") + resp = await self.client.request( + "GET", "/prompt_manager/logs/download/prompt_manager.log.2" + ) + self.assertEqual(resp.status, 200) + self.assertEqual(resp.content_type, "text/plain") + self.assertEqual( + resp.headers["Content-Disposition"], + 'attachment; filename="prompt_manager.log.2"', + ) + self.assertEqual(resp.headers["Content-Length"], "4") + self.assertEqual(await resp.read(), b"a\nb\n") + + async def test_log_files_rows_carry_their_kind(self): + for name in ( + "prompt_manager.log", + "prompt_manager.log.1", + "prompt_manager.log.bak", + ): + (self.log_dir / name).write_text("x") + resp = await self.client.request("GET", "/prompt_manager/logs/files") + data = await resp.json() + kinds = {row["filename"]: row["kind"] for row in data["files"]} + self.assertEqual( + kinds, + { + "prompt_manager.log": "active", + "prompt_manager.log.1": "rotated", + "prompt_manager.log.bak": "other", + }, + ) + class TestTruncateConfigAndStats(LoggingAPITestCase): @@ -395,6 +533,40 @@ class TestTruncateConfigAndStats(LoggingAPITestCase): self.assertEqual(data["results"]["truncated"], ["prompt_manager.log"]) self.assertEqual((self.log_dir / "prompt_manager.log").read_text(), "") + async def test_truncate_keeps_other_files(self): + for name in ( + "prompt_manager.log", + "prompt_manager.log.1", + "prompt_manager.log.bak", + ): + (self.log_dir / name).write_text("data") + resp = await self.client.request("POST", "/prompt_manager/logs/truncate") + data = await resp.json() + self.assertEqual(resp.status, 200) + self.assertEqual(set(data), {"success", "message", "results"}) + self.assertEqual( + sorted(data["results"]["truncated"]), + ["prompt_manager.log", "prompt_manager.log.1"], + ) + self.assertEqual( + sorted(p.name for p in self.log_dir.iterdir()), + ["prompt_manager.log", "prompt_manager.log.bak"], + ) + + async def test_truncate_runs_off_the_loop(self): + resp = await self.client.request("POST", "/prompt_manager/logs/truncate") + self.assertEqual(resp.status, 200) + self.assertIsNot( + self.manager.threads["truncate_logs"], threading.current_thread() + ) + + async def test_update_config_runs_off_the_loop(self): + resp = await self._post_config({"level": "DEBUG"}) + self.assertEqual(resp.status, 200) + self.assertIsNot( + self.manager.threads["update_config"], threading.current_thread() + ) + async def test_truncate_failure_is_500(self): def boom(): raise RuntimeError("locked") diff --git a/tests/test_api_prompt_inspector.py b/tests/test_api_prompt_inspector.py index 56c05238..8d301060 100644 --- a/tests/test_api_prompt_inspector.py +++ b/tests/test_api_prompt_inspector.py @@ -190,7 +190,8 @@ class TestPromptInspector(ImageAPITestCase): "inputs": {"positive": ["5", 0], "negative": ["2", 0]}, } else: - source["1"]["class_type"] = "UnknownEncoder" + # No text and no links: nothing passes through it (#381). + source["1"] = {"class_type": "UnknownEncoder", "inputs": {"seed": 1}} png( path, prompt=source, @@ -215,7 +216,7 @@ class TestPromptInspector(ImageAPITestCase): result["prompts"]["negative"], self.side("", "embedded-parameters") ) source = graph() - source["2"]["class_type"] = "UnknownEncoder" + source["2"] = {"class_type": "UnknownEncoder", "inputs": {"seed": 1}} png(path, prompt=source) _, result = await self.inspect() self.assertEqual(result["prompts"]["positive"], self.side("portrait")) diff --git a/tests/test_browser_fast_reset.py b/tests/test_browser_fast_reset.py new file mode 100644 index 00000000..6be9a54a --- /dev/null +++ b/tests/test_browser_fast_reset.py @@ -0,0 +1,335 @@ +"""Browser-test resets seed a scratch copy and publish it in one commit (#384).""" + +import hashlib +import os +import sqlite3 +import subprocess +import sys +import tempfile +import threading +import time +import types +import unittest +from pathlib import Path +from unittest import mock + +try: + from tests.open_handles import assert_closed +except ImportError: # discovered with tests/ as the top-level directory + from open_handles import assert_closed + +from database.operations import PromptDatabase +from tests.browser import fast_reset +from tests.browser.fast_reset import ScratchSeeder, table_digests + + +def digests(db: PromptDatabase) -> dict: + return table_digests(db.model.get_connection()) + + +def add_prompt(db: PromptDatabase, text: str) -> int: + with db.model.get_connection() as conn: + return conn.execute( + "INSERT INTO prompts (text, hash, created_at, updated_at) " + "VALUES (?, ?, '2026-01-01 00:00:00', '2026-01-01 00:00:00')", + (text, hashlib.sha256(text.encode()).hexdigest()), + ).lastrowid + + +def add_image(db: PromptDatabase, prompt_id: int, name: str) -> int: + with db.model.get_connection() as conn: + return conn.execute( + "INSERT INTO generated_images (prompt_id, image_path, filename, " + "generation_time) VALUES (?, ?, ?, '2026-01-01 00:00:00')", + (prompt_id, f"/out/{name}", name), + ).lastrowid + + +def reseed(api) -> str: + """A seeder in the old style: clears its tables, then many small commits.""" + db = api.db + with db.model.get_connection() as conn: + for table in ("generated_images", "prompt_tags", "tags", "prompts"): + conn.execute(f"DELETE FROM {table}") + for index in range(30): + prompt_id = add_prompt(db, f"seeded {index}") + add_image(db, prompt_id, f"seeded-{index}.png") + with db.model.get_connection() as conn: + tag_id = conn.execute( + "INSERT INTO tags (name) VALUES (?)", (f"tag{index}",) + ).lastrowid + conn.execute( + "INSERT INTO prompt_tags (prompt_id, tag_id) VALUES (?, ?)", + (prompt_id, tag_id), + ) + return "manifest" + + +class TestScratchSeeder(unittest.TestCase): + def setUp(self): + self.tmp = tempfile.TemporaryDirectory() + self.addCleanup(self.tmp.cleanup) + self.root = Path(self.tmp.name) + self.addCleanup(assert_closed, self, self.tmp.name) + self.live = self.database("live.db") + self.api = types.SimpleNamespace(db=self.live, marker="live api") + self.seeder = ScratchSeeder(self.api, self.root / "scratch", memory_root=None) + self.addCleanup(self.seeder.close) + # Rows from "earlier tests": AUTOINCREMENT positions have moved on. + for index in range(5): + add_image(self.live, add_prompt(self.live, f"old {index}"), f"o{index}") + with self.live.model.get_connection() as conn: + conn.execute("DELETE FROM prompts WHERE text = 'old 4'") + + def database(self, name: str) -> PromptDatabase: + db = PromptDatabase(str(self.root / name)) + self.addCleanup(db.close_all) + return db + + def oracle(self, seed): + """Run ``seed`` the old way, on a copy of the live database.""" + path = self.root / "oracle.db" + target = sqlite3.connect(path) + try: + self.live.model.get_connection().backup(target) + finally: + target.close() + db = self.database("oracle.db") + seed(types.SimpleNamespace(db=db)) + return digests(db) + + def test_publishes_exactly_what_the_seed_writes_on_live(self): + expected = self.oracle(reseed) + self.assertEqual(self.seeder.run(reseed), "manifest") + self.assertEqual(digests(self.live), expected) + with self.live.model.get_connection() as conn: + first = conn.execute("SELECT MIN(id) FROM prompts").fetchone()[0] + self.assertEqual(first, 6, "AUTOINCREMENT continues as on live") + + def test_runs_twice_from_the_state_the_first_run_left(self): + self.seeder.run(reseed) + expected = self.oracle(reseed) + self.seeder.run(reseed) + self.assertEqual(digests(self.live), expected) + + def test_tables_the_seed_did_not_change_keep_their_rows(self): + before = digests(self.live) + + def rename(api): + with api.db.model.get_connection() as conn: + conn.execute("UPDATE prompts SET text = 'renamed' WHERE id = 1") + + self.seeder.run(rename) + after = digests(self.live) + changed = {table for table in after if after[table] != before[table]} + self.assertEqual(changed, {"prompts"}) + with self.live.model.get_connection() as conn: + images = conn.execute("SELECT COUNT(*) FROM generated_images").fetchone() + # Replacing prompts' rows never cascades into generated_images. + self.assertEqual(images[0], 4) + + def test_the_seed_sees_the_scratch_database_and_the_live_api(self): + seen = {} + + def seed(api): + seen["db"] = api.db + seen["marker"] = api.marker + api.note = "set by the seed" + + self.seeder.run(seed) + self.assertIsNot(seen["db"], self.live) + self.assertNotEqual(seen["db"].model.db_path, self.live.model.db_path) + self.assertEqual(seen["marker"], "live api") + self.assertEqual(self.api.note, "set by the seed") + self.assertIs(self.api.db, self.live) + + def test_cache_drops_wait_until_the_rows_are_published(self): + seen = [] + + def invalidate_gallery_cache(retire=False): + with self.live.model.get_connection() as conn: + count = conn.execute("SELECT COUNT(*) FROM tags").fetchone()[0] + seen.append((count, retire)) + + self.api.invalidate_gallery_cache = invalidate_gallery_cache + + def seed(api): + reseed(api) + api.invalidate_gallery_cache(retire=True) + self.assertEqual(seen, [], "not dropped while live has the old rows") + + self.seeder.run(seed) + self.assertEqual(seen, [(30, True)]) + + def test_a_failing_seed_drops_no_cache(self): + seen = [] + self.api.invalidate_gallery_cache = lambda: seen.append(True) + + def broken(api): + api.invalidate_gallery_cache() + raise ValueError("seed failed") + + with self.assertRaises(ValueError): + self.seeder.run(broken) + self.assertEqual(seen, []) + + def test_a_failing_seed_leaves_live_untouched(self): + before = digests(self.live) + + def broken(api): + reseed(api) + raise ValueError("seed failed") + + with self.assertRaisesRegex(ValueError, "seed failed"): + self.seeder.run(broken) + self.assertEqual(digests(self.live), before) + self.assertIs(self.api.db, self.live) + + def test_a_concurrent_live_commit_fails_the_reset(self): + other = self.database("live.db") + + def racing(api): + reseed(api) + add_prompt(other, "written to live meanwhile") + + with self.assertRaisesRegex(RuntimeError, "changed while"): + self.seeder.run(racing) + with self.live.model.get_connection() as conn: + texts = [row[0] for row in conn.execute("SELECT text FROM prompts")] + self.assertIn("written to live meanwhile", texts) + self.assertNotIn("seeded 0", texts) + + def test_a_write_open_during_the_seed_and_committed_later_fails_it(self): + other = self.database("live.db") + began, finished = threading.Event(), [] + + def write(): + with other.model.get_connection() as conn: + conn.execute("BEGIN IMMEDIATE") + conn.execute( + "INSERT INTO prompts (text, hash) VALUES ('concurrent', 'c')" + ) + began.set() + time.sleep(0.5) # the publish waits on this lock meanwhile + other.model.close() + finished.append(True) + + writer = threading.Thread(target=write) + + def racing(api): + reseed(api) + writer.start() + self.assertTrue(began.wait(10)) + + with self.assertRaisesRegex(RuntimeError, "changed while"): + self.seeder.run(racing) + writer.join() + self.assertEqual(finished, [True]) + with self.live.model.get_connection() as conn: + texts = [row[0] for row in conn.execute("SELECT text FROM prompts")] + self.assertIn("concurrent", texts) + self.assertNotIn("seeded 0", texts) + self.assert_live_connection_restored() + + def test_a_failed_publish_leaves_live_and_its_connection_as_they_were(self): + before = digests(self.live) + columns = fast_reset._columns + + def broken_columns(conn, table, *schema): + # The publish asks for the live table's columns without a schema. + return columns(conn, table, *schema) if schema else ["no_such_column"] + + with mock.patch.object(fast_reset, "_columns", broken_columns): + with self.assertRaises(sqlite3.OperationalError): + self.seeder.run(reseed) + self.assertEqual(digests(self.live), before) + self.assert_live_connection_restored() + + def assert_live_connection_restored(self): + conn = self.live.model.get_connection() + self.assertFalse(conn.in_transaction) + self.assertEqual(conn.execute("PRAGMA foreign_keys").fetchone()[0], 1) + names = [row[1] for row in conn.execute("PRAGMA database_list")] + self.assertEqual(names, ["main"]) + + def test_the_live_connection_is_left_as_it_was(self): + self.seeder.run(reseed) + conn = self.live.model.get_connection() + self.assertFalse(conn.in_transaction) + self.assertEqual(conn.execute("PRAGMA foreign_keys").fetchone()[0], 1) + names = [row[1] for row in conn.execute("PRAGMA database_list")] + self.assertEqual(names, ["main"]) + self.assertEqual(conn.execute("PRAGMA foreign_key_check").fetchall(), []) + + def test_on_live_mode_runs_the_seed_on_the_live_api(self): + seeder = ScratchSeeder( + self.api, self.root / "unused", on_live=True, memory_root=self.root + ) + self.addCleanup(seeder.close) + expected = self.oracle(reseed) + seen = [] + self.assertEqual( + seeder.run(lambda api: seen.append(api) or reseed(api)), "manifest" + ) + self.assertIs(seen[0], self.api) + self.assertEqual(digests(self.live), expected) + self.assertFalse((self.root / "unused").exists()) + + def test_the_scratch_lives_under_the_memory_root_when_there_is_one(self): + memory = self.root / "memory" + memory.mkdir() + seeder = ScratchSeeder(self.api, self.root / "fallback", memory_root=memory) + self.addCleanup(seeder.close) + expected = self.oracle(reseed) + seeder.run(reseed) + self.assertEqual(digests(self.live), expected) + self.assertEqual(len(list(memory.glob("pm-reset-*/seed.db"))), 1) + self.assertFalse((self.root / "fallback").exists()) + seeder.close() + self.assertEqual(list(memory.iterdir()), []) + + def test_a_full_memory_root_puts_the_scratch_on_disk(self): + memory = self.root / "memory" + memory.mkdir() + seeder = ScratchSeeder(self.api, self.root / "fallback", memory_root=memory) + self.addCleanup(seeder.close) + full = mock.patch.object( + fast_reset.shutil, + "disk_usage", + return_value=types.SimpleNamespace(free=fast_reset.MEMORY_FREE_BYTES - 1), + ) + with full: + seeder.run(reseed) + self.assertEqual(list(memory.iterdir()), []) + self.assertTrue((self.root / "fallback" / "seed.db").exists()) + + @unittest.skipUnless(os.name == "posix", "process probe is POSIX only") + def test_scratch_folders_of_dead_servers_are_removed(self): + memory = self.root / "memory" + memory.mkdir() + dead = subprocess.Popen([sys.executable, "-c", "pass"]) + dead.wait() + orphan = memory / f"pm-reset-{dead.pid}-abc" + alive = memory / f"pm-reset-{os.getpid()}-def" + other = memory / "pm-reset-notapid" + for folder in (orphan, alive, other): + folder.mkdir() + (folder / "seed.db").write_bytes(b"x") + seeder = ScratchSeeder(self.api, self.root / "fallback", memory_root=memory) + self.addCleanup(seeder.close) + seeder.run(reseed) + self.assertFalse(orphan.exists()) + self.assertTrue(alive.exists()) + self.assertTrue(other.exists()) + own = [p for p in memory.glob(f"pm-reset-{os.getpid()}-*") if p != alive] + self.assertEqual(len(own), 1) + + def test_close_releases_the_scratch_files(self): + self.seeder.run(reseed) + self.seeder.close() + assert_closed(self, self.root / "scratch") + self.seeder.close() # idempotent + + +if __name__ == "__main__": + unittest.main() diff --git a/tests/test_browser_folder_trash.py b/tests/test_browser_folder_trash.py new file mode 100644 index 00000000..a8a91a69 --- /dev/null +++ b/tests/test_browser_folder_trash.py @@ -0,0 +1,67 @@ +"""Browser-test media folders are emptied by a rename, deleted later (#384).""" + +import tempfile +import threading +import unittest +from pathlib import Path + +from tests.browser.folder_trash import TRASH_NAME, close_trash, replace_folder + + +class TestFolderTrash(unittest.TestCase): + def setUp(self): + self.tmp = tempfile.TemporaryDirectory() + self.addCleanup(self.tmp.cleanup) + self.root = Path(self.tmp.name) + self.addCleanup(close_trash, self.root) + + def trash_threads(self): + return [t for t in threading.enumerate() if t.name == "pm-reset-trash"] + + def test_replaces_the_folder_with_an_empty_one(self): + folder = self.root / "output" + (folder / "nested").mkdir(parents=True) + (folder / "nested" / "image.png").write_bytes(b"png") + replace_folder(folder) + self.assertTrue(folder.is_dir()) + self.assertEqual(list(folder.iterdir()), []) + close_trash(self.root) + self.assertFalse((self.root / TRASH_NAME).exists()) + self.assertEqual(self.trash_threads(), []) + + def test_a_missing_folder_is_created_without_a_trash(self): + replace_folder(self.root / "input") + self.assertTrue((self.root / "input").is_dir()) + self.assertFalse((self.root / TRASH_NAME).exists()) + self.assertEqual(self.trash_threads(), []) + + def test_repeated_replacements_share_one_thread_and_all_are_removed(self): + folder = self.root / "output" + for number in range(5): + folder.mkdir(exist_ok=True) + (folder / f"{number}.png").write_bytes(b"png") + replace_folder(folder) + self.assertEqual(len(self.trash_threads()), 1) + close_trash(self.root) + self.assertEqual(list(folder.iterdir()), []) + self.assertFalse((self.root / TRASH_NAME).exists()) + close_trash(self.root) # idempotent + + +class TestFolderTrashAfterClose(unittest.TestCase): + def test_a_replacement_after_close_deletes_in_place_without_a_thread(self): + with tempfile.TemporaryDirectory() as tmp: + root = Path(tmp) + close_trash(root) + folder = root / "output" + folder.mkdir() + (folder / "late.png").write_bytes(b"png") + replace_folder(folder) + self.assertEqual(list(folder.iterdir()), []) + self.assertFalse((root / TRASH_NAME).exists()) + names = [t.name for t in threading.enumerate()] + self.assertNotIn("pm-reset-trash", names) + + +if __name__ == "__main__": + unittest.main() diff --git a/tests/test_browser_slow_reset_watch.py b/tests/test_browser_slow_reset_watch.py index 631e7ca4..569983b8 100644 --- a/tests/test_browser_slow_reset_watch.py +++ b/tests/test_browser_slow_reset_watch.py @@ -221,12 +221,12 @@ class TestSlowResetOnTheServer(unittest.TestCase): self.assertRegex( text, r"kernel: asyncio_\d+ \(0x[0-9a-f]{16}\) state \w, waiting in " ) - # The plain reset's seed() waits on its first DELETE. - self.assertRegex(text, r"line \d+ in seed\n") + # The plain reset seeds a scratch copy (#384), then waits to publish it. + self.assertRegex(text, r"line \d+ in _publish\n") self.assertIn("POST /__test__/reset answered 200 after", text) self.assertRegex( text, - r"executor call create_app..seed: queued \d+\.\d+s, ran \d+\.\d+s", + r"executor call ScratchSeeder.run: queued \d+\.\d+s, ran \d+\.\d+s", ) diff --git a/tests/test_execution_history_hooks.py b/tests/test_execution_history_hooks.py index b0f5454c..053640ab 100644 --- a/tests/test_execution_history_hooks.py +++ b/tests/test_execution_history_hooks.py @@ -356,6 +356,8 @@ class HistoryHooksTests(unittest.TestCase): self.assertGreaterEqual(time.monotonic() - began, 1.8) self.assertLess(time.monotonic() - began, CEILING_SECONDS) release.set() + # Drain first: the 2 s bound is not under test here (#370). + self.drain(registration) self.assertTrue(registration.dispose(2)) def test_restore_disables_capture_and_clears_handles_before_fresh_epoch(self): diff --git a/tests/test_execution_output_hooks.py b/tests/test_execution_output_hooks.py index 567a5960..c39a2aaa 100644 --- a/tests/test_execution_output_hooks.py +++ b/tests/test_execution_output_hooks.py @@ -399,6 +399,10 @@ class OutputHooksTests(fixtures.unittest.TestCase): self.queue.task_done(1, history("rejected.png"), fixtures.status()) registration.writer.invalidate() release.set() + # Let the writer work through the 1,024 queued commands first + # (#370's pattern): on a busy Windows runner that took longer + # than dispose's 2 s bound (merge queue, #382). + self.drain(registration) self.assertTrue(registration.dispose(2)) self.assertEqual(self.outputs(0)["state"], "not_captured") self.assertEqual(len(self.rows()), 1) diff --git a/tests/test_execution_output_writer.py b/tests/test_execution_output_writer.py index c9f89d47..06475d24 100644 --- a/tests/test_execution_output_writer.py +++ b/tests/test_execution_output_writer.py @@ -28,6 +28,11 @@ except ImportError: # Upper bound a blocked fake write waits for its release. Tests prove ordering # with events, so this only caps a failing run and never decides a pass. BLOCK_SECONDS = 10 +# A restore is a full verify/migrate/backup/replace cycle and is bound by the +# disk: a busy Windows runner took over 10 s (merge queue, #382). Waits that +# span a restore use this ceiling, which stays under the runner's 120 s hang +# watchdog, so a real hang still fails with the thread dump. +RESTORE_SECONDS = 90 class OutputWriterTests(fixtures.unittest.TestCase): @@ -317,8 +322,8 @@ class OutputWriterTests(fixtures.unittest.TestCase): Returns the patch and an event set once that rotation has returned on the worker. A restore is a full verify/migrate/backup/replace cycle, so - the handoff waits on this event with the generous ``BLOCK_SECONDS`` - ceiling instead of the short worker-behavior deadline (TESTING.md, + the handoff waits on this event with the ``RESTORE_SECONDS`` ceiling + instead of the short worker-behavior deadline (TESTING.md, Windows portability preflight). """ backup = os.path.join(self.directory.name, f"restore-{start.run_id}.db") @@ -361,7 +366,7 @@ class OutputWriterTests(fixtures.unittest.TestCase): ) with rotation: self.finalization(writer, start) - self.assertTrue(rotated.wait(BLOCK_SECONDS)) + self.assertTrue(rotated.wait(RESTORE_SECONDS)) self.wait_for(lambda: writer.status().pending == 0) self.assertEqual( self.db.get_execution_outputs(start.run_id)["state"], @@ -403,7 +408,7 @@ class OutputWriterTests(fixtures.unittest.TestCase): self.assertEqual(writer.status().pending, 1) self.assertEqual(writer.context_budget.charged_bytes, charge) release.set() - self.assertTrue(rotated.wait(BLOCK_SECONDS)) + self.assertTrue(rotated.wait(RESTORE_SECONDS)) self.wait_for(lambda: writer.status().pending == 0) self.assertEqual(writer.context_budget.charged_bytes, 0) self.assertFalse(writer.status().accepting) @@ -567,6 +572,8 @@ class OutputWriterTests(fixtures.unittest.TestCase): self.assertIs(replacement.context_budget, writer.context_budget) self.assertIsNone(replacement.context_budget.reserve(8388608)) release.set() + # Drain first: the 2 s bound is not under test here (#370). + drain_writer(writer) self.assertTrue(writer.close(2)) finally: release.set() @@ -608,6 +615,8 @@ class OutputWriterTests(fixtures.unittest.TestCase): writer.invalidate() self.assertEqual(writer.context_budget.charged_bytes, 0) release.set() + # Drain first: the 2 s bound is not under test here (#370). + drain_writer(writer) self.assertTrue(writer.close(2)) def test_malformed_context_omission_preserves_independent_valid_output(self): @@ -698,6 +707,8 @@ class OutputWriterTests(fixtures.unittest.TestCase): release.set() invalidator.join(BLOCK_SECONDS) self.assertFalse(invalidator.is_alive()) + # Drain first: the 2 s bound is not under test here (#370). + drain_writer(writer) self.assertTrue(writer.close(2)) self.assertEqual( self.db.get_execution_outputs(start.run_id)["state"], "complete" diff --git a/tests/test_inspection_semantics.py b/tests/test_inspection_semantics.py index 2cae45ce..6f2a1880 100644 --- a/tests/test_inspection_semantics.py +++ b/tests/test_inspection_semantics.py @@ -59,6 +59,7 @@ def _minimal(): {"class": "VAEEncode", "slot": 0, "strategy": "continue", "input": "pixels"} ], "stage_inputs": {"shaped": ["positive"], "with_model": ["samples"]}, + "pass_through": {"skip_inputs": ["clip"]}, "facts": { "configuration_outputs": {}, "model_outputs": {}, @@ -690,6 +691,18 @@ class ValidationTest(_TableCase): (lambda d: d["stage_inputs"].update(shaped="pipe"), "input name"), (lambda d: d["stage_inputs"].update(with_model=["positive"]), "both"), (lambda d: d["stage_inputs"].update(shaped=["model"]), "model"), + (lambda d: d.pop("pass_through"), "category"), + (lambda d: d["pass_through"].update(extra=["x"]), "pass_through"), + (lambda d: d["pass_through"].update(skip_inputs="clip"), "input name"), + (lambda d: d["pass_through"].update(skip_inputs=[]), "input name"), + ( + lambda d: d["pass_through"].update(skip_inputs=["clip", "clip"]), + "repeated", + ), + ( + lambda d: d["pass_through"].update(skip_inputs=["conditioning"]), + "carries text", + ), ( lambda d: d["facts"]["configuration_outputs"].update( X={"kind": "sigmas", "fields": ["steps"], "type_fields": []} diff --git a/tests/test_legacy_parity_gate.py b/tests/test_legacy_parity_gate.py new file mode 100644 index 00000000..4b7a7980 --- /dev/null +++ b/tests/test_legacy_parity_gate.py @@ -0,0 +1,187 @@ +"""Legacy parity gate for the inspection resolver (#381, the PR #170 floor). + +The legacy parser (``utils.generation_params``, the port of the browser's +``extractGenerationParams``) is the floor: a graph whose positive prompt it +found, and that the inspection resolver resolved to the same text, must keep +resolving to that text. ``legacy-agreement.json`` records those graphs per +corpus: the generation-params vectors, the inspection parity fixtures, the +local resolver golden and selection cases, and the unknown-node shapes of +#381. A graph may join the list, never leave it; regenerate with:: + + python3 -m tests.test_legacy_parity_gate --write +""" + +import argparse +import json +import unittest +from pathlib import Path + +from utils import prompt_pair_resolver as resolver +from utils.generation_params import ( + GenerationParamsError, + extract_generation_params, + parse_js_json, +) + +try: + from tests import inspection_parity as parity + from tests import local_resolver_cases as cases + from tests import local_resolver_selection_cases as selection + from tests import unknown_node_graphs as unknown +except ImportError: # discovered with ``-s tests`` + import inspection_parity as parity + import local_resolver_cases as cases + import local_resolver_selection_cases as selection + import unknown_node_graphs as unknown + +HERE = Path(__file__).resolve().parent +AGREEMENT_PATH = HERE / "fixtures" / "local-inspect" / "legacy-agreement.json" +VECTORS_PATH = HERE / "fixtures" / "generation_params" / "vectors.json" +NOT_FOUND = "No prompt found" + + +def _parsed(value): + return parse_js_json(value) if isinstance(value, str) else value + + +def corpora() -> dict: + """Corpus name to ``{case name: (prompt graph, workflow or None[, file])}``.""" + vectors = json.loads(VECTORS_PATH.read_text(encoding="utf-8")) + named = {**cases.golden_cases(), **selection.selection_cases()} + return { + "generation_params": { + item["name"]: (_parsed(item["prompt"]), _parsed(item.get("workflow"))) + for item in vectors + }, + "inspection_parity": { + name: (parity.build(name)["prompt"], parity.build(name)["workflow"]) + for name in parity.COMMITTED + }, + "local_resolver": { + name: ( + _parsed(records["prompt"]), + _parsed(records.get("workflow")), + records.get(cases.FILE_NAME), + ) + for name, records in named.items() + if "prompt" in records + }, + "unknown_nodes": { + name: (graph, None) for name, graph in unknown.shapes().items() + }, + } + + +def legacy_positive(graph, workflow): + """The positive prompt the legacy parser found, or ``None``.""" + try: + found = extract_generation_params({"prompt": graph, "workflow": workflow}) + except GenerationParamsError: + return None + text = found["positivePrompt"] + return None if text == NOT_FOUND else text + + +def inspected(graph, workflow=None, file_name=None) -> dict: + """The inspection resolver's answer, anchored by ``file_name`` when given.""" + metadata = {"prompt": graph} + if workflow is not None: + metadata["workflow"] = workflow + return resolver.resolve_prompt_pair( + metadata, profile=resolver.INSPECTION_PROFILE, file_name=file_name + ) + + +# Graphs where the legacy parser's positive is wrong and the inspector's +# differs on purpose: (corpus, case) -> (the inspector's positive, why). +LEGACY_WRONG = { + ("local_resolver", "anchor-branch-3"): ( + "a red vintage car in the rain", + "legacy shows the first sampler's prompt for every branch; the file " + "name s45_branch_3_00002_ names branch 3's saver (gpu_unlock_bench)", + ), + ("local_resolver", "anchor-branch-linked"): ( + "an old fishing boat at dawn", + "legacy shows branch 1; the traced prefix names branch 2's saver", + ), + ("local_resolver", "anchor-branch-unknown-saver"): ( + "a cozy library with tall shelves", + "legacy shows branch 1; the file name names branch 4's saver", + ), +} + + +def agreeing(graphs: dict) -> list: + """Names whose inspection positive equals the legacy parser's, sorted.""" + names = [] + for name, case in graphs.items(): + graph, workflow = case[0], case[1] + if not isinstance(graph, dict): + continue + expected = legacy_positive(graph, workflow) + if expected is None: + continue + result = inspected(*case) + positive = result["positive"] + if ( + result["state"] == "resolved" + and isinstance(positive, dict) + and positive["text"] == expected + ): + names.append(name) + return sorted(names) + + +class LegacyParityGateTest(unittest.TestCase): + def test_every_legacy_difference_is_stated(self): + """A graph may read differently from legacy only with a stated reason.""" + all_graphs = corpora() + for (corpus, name), (expected, why) in LEGACY_WRONG.items(): + with self.subTest(case=name, why=why): + case = all_graphs[corpus][name] + legacy = legacy_positive(case[0], case[1]) + self.assertIsNotNone(legacy) + result = inspected(*case) + positive = result["positive"] + text = positive["text"] if isinstance(positive, dict) else None + if result["state"] != "resolved": + text = None + self.assertEqual(text, expected) + self.assertNotEqual(text, legacy) + + def test_no_graph_leaves_the_legacy_agreement(self): + recorded = json.loads(AGREEMENT_PATH.read_text(encoding="utf-8")) + current = {name: agreeing(graphs) for name, graphs in corpora().items()} + self.assertEqual(set(recorded), set(current)) + for corpus, names in recorded.items(): + with self.subTest(corpus=corpus): + lost = sorted(set(names) - set(current[corpus])) + self.assertEqual(lost, [], "these graphs no longer match legacy") + + def test_every_unknown_node_shape_legacy_reads_still_agrees(self): + graphs = corpora()["unknown_nodes"] + legacy = {name for name, pair in graphs.items() if legacy_positive(*pair)} + self.assertLessEqual(legacy, set(agreeing(graphs))) + + def test_the_reported_graph_reads_better_than_legacy(self): + # Legacy found no positive here (cf0cef3 showed the positive text as + # the negative); the floor is met, and the inspector now reads it. + graph = unknown.any_switch_graph() + self.assertIsNone(legacy_positive(graph, None)) + result = resolver.resolve_prompt_pair( + {"prompt": graph}, profile=resolver.INSPECTION_PROFILE + ) + self.assertEqual(result["positive"]["text"], unknown.POSITIVE) + + +def main(): + parser = argparse.ArgumentParser(description=__doc__.splitlines()[0]) + parser.add_argument("--write", action="store_true", help="record the agreement") + if parser.parse_args().write: + current = {name: agreeing(graphs) for name, graphs in corpora().items()} + text = json.dumps(current, indent=1, sort_keys=True, ensure_ascii=False) + AGREEMENT_PATH.write_text(text + "\n", encoding="utf-8", newline="\n") + + +if __name__ == "__main__": + main() diff --git a/tests/test_local_inspect_parity.py b/tests/test_local_inspect_parity.py index 7dcf52d5..e5ab5dde 100644 --- a/tests/test_local_inspect_parity.py +++ b/tests/test_local_inspect_parity.py @@ -1118,8 +1118,17 @@ class LocalProjectionParityTests(unittest.TestCase): self.assertTrue({"parsed", "malformed", "limited"} <= seen) -def _server_evidence(records): - return inspect_prompt_evidence(records, None, profile=INSPECTION_PROFILE) +def _server_evidence(records, file_name=None): + return inspect_prompt_evidence( + records, None, profile=INSPECTION_PROFILE, file_name=file_name + ) + + +FILE_NAME = resolver_cases.FILE_NAME + + +def _records(case): + return {key: value for key, value in case.items() if key != FILE_NAME} class LocalResolverParityTests(unittest.TestCase): @@ -1143,7 +1152,12 @@ class LocalResolverParityTests(unittest.TestCase): observed = _run_oracle( self, [ - {"name": name, "mode": "resolve", "records": records} + { + "name": name, + "mode": "resolve", + "records": _records(records), + "fileName": records.get(FILE_NAME), + } for name, records in cases.items() ], ) @@ -1151,7 +1165,7 @@ class LocalResolverParityTests(unittest.TestCase): for name, records in cases.items(): with self.subTest(case=name): local = observed[name] - server = _server_evidence(records) + server = _server_evidence(_records(records), records.get(FILE_NAME)) answers[name] = server self.assertEqual( _canonical_bytes(local["evidence"]), _canonical_bytes(server) @@ -1190,7 +1204,7 @@ class LocalResolverParityTests(unittest.TestCase): # The single-chain subset (Task 8); the rest is Task 9's test below. if not resolver_cases.single_chain(records): continue - server = _server_evidence(records) + server = _server_evidence(records, Path(path).name) self.assertEqual( _canonical_bytes(local["evidence"]), _canonical_bytes(server) ) @@ -1237,7 +1251,8 @@ class LocalResolverParityTests(unittest.TestCase): local, expect = observed[name], vector["expect"] try: server = _server_evidence( - read_inspection_file(files[name]).metadata + read_inspection_file(files[name]).metadata, + Path(files[name]).name, ) except MetadataReadError: server = unreadable_evidence() diff --git a/tests/test_prompt_pair_resolver.py b/tests/test_prompt_pair_resolver.py index afd7a32c..f739d893 100644 --- a/tests/test_prompt_pair_resolver.py +++ b/tests/test_prompt_pair_resolver.py @@ -1019,7 +1019,8 @@ class TestResolverProfiles(unittest.TestCase): def test_unsupported_node_names_the_blocking_node(self): source = graph() - source["1"]["class_type"] = "UnknownEncoder" + # No text and no links: nothing passes through it (#381). + source["1"] = {"class_type": "UnknownEncoder", "inputs": {"seed": 1}} result = resolve_prompt_pair(source, profile=resolver.INSPECTION_PROFILE) self.assertEqual(result["reason_code"], "unsupported-node") self.assertEqual(result["node"], {"id": "1", "class_type": "UnknownEncoder"}) @@ -1161,14 +1162,9 @@ class TestGuiderSamplers(unittest.TestCase): def test_unsupported_node_names_first_blocking_node(self): source = _guided() - source["30"] = { - "class_type": "FutureConditioner", - "inputs": {"conditioning": ["6", 0]}, - } - source["31"] = { - "class_type": "OtherConditioner", - "inputs": {"conditioning": ["7", 0]}, - } + # No links: nothing passes through them (#381). + source["30"] = {"class_type": "FutureConditioner", "inputs": {"seed": 1}} + source["31"] = {"class_type": "OtherConditioner", "inputs": {"seed": 2}} source["21"]["inputs"]["positive"] = ["30", 0] source["21"]["inputs"]["negative"] = ["31", 0] result = _inspect(source) @@ -1548,7 +1544,8 @@ class TestConditioningSemantics(unittest.TestCase): def test_diverging_branch_that_cannot_be_traced_is_never_guessed(self): extra = { "10": _encoded(parity.POS), - "11": {"class_type": "FutureEncoder", "inputs": {"text": WOLF}}, + # No text and no links: nothing passes through it (#381). + "11": {"class_type": "FutureEncoder", "inputs": {"strength": 1.0}}, "12": _image_exists(), } source = _with_positive(_if_else(["12", 1], ["10", 0], ["11", 0]), extra) @@ -2048,12 +2045,17 @@ class TestEncoderAndStringSemantics(unittest.TestCase): result = _inspect(_with_positive(node)) self.assertEqual(result["reason_code"], "malformed") - def test_unverified_text_nodes_stay_unsupported_and_named(self): - # TextBoxMira was verified in its source in Task 2.7b and is listed. + def test_unknown_text_nodes_pass_their_text_through(self): + # #381: an unlisted node's ``text`` input is its text (the legacy rule); + # without one, and with nothing linked, it is still named. for name in ("LoRAfromText", "RegexReplace", "XYZPrompt"): with self.subTest(node=name): node = {"class_type": name, "inputs": {"text": parity.POS}} result = _inspect(_string_positive(node)) + self.assertEqual(result["state"], "resolved") + self.assertEqual(result["positive"]["text"], parity.POS) + node = {"class_type": name, "inputs": {"pattern": parity.POS}} + result = _inspect(_string_positive(node)) self.assertEqual(result["reason_code"], "unsupported-node") self.assertEqual(result["node"], {"id": "10", "class_type": name}) @@ -2313,7 +2315,8 @@ class TestDetailerStages(unittest.TestCase): def test_unresolved_stage_blocks_the_chain(self): source = _detailed(same_prompt=True) - source["30"] = {"class_type": "FutureConditioner", "inputs": {"c": ["6", 0]}} + # No links: nothing passes through it (#381). + source["30"] = {"class_type": "FutureConditioner", "inputs": {"c": 1.0}} source["3"]["inputs"]["positive"] = ["30", 0] source["50"]["inputs"]["positive"] = ["10", 0] result = _inspect(source) @@ -2662,11 +2665,13 @@ class TestLatentAncestry(unittest.TestCase): }, { "50": {"class_type": "LoadImage", "inputs": {"image": "a.png"}}, + # Its own encoder (#381: the same links would be one prompt). + "73": parity._enc(parity.POS), "70": { "class_type": "KSampler", "inputs": { "model": ["4", 0], - "positive": ["6", 0], + "positive": ["73", 0], "negative": ["7", 0], "latent_image": ["72", 0], }, @@ -2969,7 +2974,8 @@ class TestLatentAncestry(unittest.TestCase): source["60"]["class_type"] = "UltimateSDUpscale" result = _inspect(source, output_node_id="9") self.assertEqual((result["state"], result["sampler_id"]), ("resolved", "3")) - # Reached only through an unlisted image node, it stays unattributed. + # Reached only through an unlisted image node, it stays unattributed: + # a detailer is never a plain first stage, even on the same links (#381). source["61"] = {"class_type": "MysteryFilter", "inputs": {"image": ["60", 0]}} source["5"]["inputs"]["pixels"] = ["61", 0] result = _inspect(source, output_node_id="9") diff --git a/tests/test_resolver_generic_pass_through.py b/tests/test_resolver_generic_pass_through.py new file mode 100644 index 00000000..d84542a7 --- /dev/null +++ b/tests/test_resolver_generic_pass_through.py @@ -0,0 +1,391 @@ +"""Unknown nodes between the prompt and the sampler pass through (#381). + +The inspection resolver no longer needs a node class on an allow-list to read +through it. An output the semantics table does not describe passes through: a +``text`` input is the text, a ``positive``/``negative`` input routes by output +slot, a ``conditioning`` input is followed alone, otherwise every linked input +except core type inputs (``pass_through.skip_inputs``) is followed. One text, +or several equal texts, resolve; PromptManager nodes are authoritative; several +different texts are one candidate each. Ingestion (the default profile) is +unchanged. Every graph here is synthetic, with neutral texts. +""" + +import json +import unittest + +from utils import prompt_pair_resolver as resolver +from utils.prompt_inspector import inspect_prompt_evidence +from utils.prompt_pair_resolver import resolve_prompt_pair + +try: + from tests import unknown_node_graphs as graphs +except ImportError: # discovered with ``-s tests`` + import unknown_node_graphs as graphs + +POSITIVE, OTHER, NEGATIVE = graphs.POSITIVE, graphs.OTHER, graphs.NEGATIVE +any_switch_graph = graphs.any_switch_graph +_encode, _pair, _with = graphs.encode, graphs.pair, graphs.with_nodes + + +def _inspect(graph, **options): + return resolve_prompt_pair( + {"prompt": graph}, profile=resolver.INSPECTION_PROFILE, **options + ) + + +def _texts(result): + return tuple( + result[role]["text"] if isinstance(result[role], dict) else None + for role in ("positive", "negative") + ) + + +class TestTheReportedGraph(unittest.TestCase): + def test_prompt_manager_pair_through_any_switch_resolves(self): + result = _inspect(any_switch_graph()) + self.assertEqual(result["state"], "resolved", result["reason"]) + self.assertEqual(_texts(result), (POSITIVE, "")) + self.assertEqual(result["sampler_id"], "17") + self.assertIsNone(result["reason_code"]) + path = [step["node_id"] for step in result["positive"]["provenance"]["path"]] + self.assertEqual(path, ["15", "10"]) + + def test_the_inspector_shows_the_prompt(self): + evidence = inspect_prompt_evidence({"prompt": json.dumps(any_switch_graph())}) + self.assertEqual(evidence["resolution"]["state"], "resolved") + self.assertEqual(evidence["prompts"]["positive"]["status"], "resolved") + self.assertEqual(evidence["prompts"]["positive"]["text"], POSITIVE) + + def test_ingestion_is_unchanged(self): + result = resolve_prompt_pair({"prompt": any_switch_graph()}) + self.assertEqual(result["state"], "unresolved") + # Its first failure is the custom latent node, as before this change. + self.assertEqual(result["reason"], "Unsupported latent ancestry") + + def test_the_inspection_version_moves(self): + self.assertEqual(resolver.INSPECTION_RESOLVER_VERSION, 2) + self.assertEqual(resolver.RESOLVER_VERSION, 1) + + +class TestSourcesThroughUnknownNodes(unittest.TestCase): + def test_several_inputs_with_one_text_resolve(self): + graph = any_switch_graph(any_01=["10", 0], any_02=["10", 0]) + self.assertEqual(_texts(_inspect(graph)), (POSITIVE, "")) + + def test_equal_texts_from_different_nodes_resolve(self): + graph = _with( + any_switch_graph(any_01=["20", 0], any_02=["21", 0]), + **{"20": _encode(OTHER), "21": _encode(OTHER)}, + ) + result = _inspect(graph) + self.assertEqual(result["state"], "resolved") + self.assertEqual(_texts(result)[0], OTHER) + + def test_different_texts_are_candidates_not_a_refusal(self): + graph = _with( + any_switch_graph(any_01=["20", 0], any_02=["21", 0]), + **{"20": _encode(POSITIVE), "21": _encode(OTHER)}, + ) + result = _inspect(graph) + self.assertEqual(result["state"], "ambiguous") + self.assertEqual(result["reason"], resolver.SEVERAL_SOURCES_REASON) + self.assertEqual( + [_texts(item) for item in result["candidates"]], + [(POSITIVE, ""), (OTHER, "")], + ) + for item in result["candidates"]: + self.assertEqual(item["state"], "resolved") + self.assertEqual(item["sampler_id"], "17") + + def test_prompt_manager_is_authoritative(self): + graph = _with( + any_switch_graph(any_01=["20", 0], any_02=["10", 0]), + **{"20": _encode(OTHER)}, + ) + result = _inspect(graph) + self.assertEqual(result["state"], "resolved") + self.assertEqual(_texts(result), (POSITIVE, "")) + + def test_prompt_manager_wins_over_an_unreadable_branch(self): + graph = _with( + any_switch_graph(any_01=["20", 0], any_02=["10", 0]), + **{ + "20": { + "class_type": "CLIPTextEncode", + "inputs": {"text": ["21", 0], "clip": ["7", 0]}, + }, + "21": {"class_type": "PromptSearchList", "inputs": {"search": "x"}}, + }, + ) + self.assertEqual(_texts(_inspect(graph)), (POSITIVE, "")) + + def test_an_unreadable_branch_blocks_without_prompt_manager(self): + graph = _with( + any_switch_graph(any_01=["20", 0], any_02=["22", 0]), + **{ + "20": { + "class_type": "CLIPTextEncode", + "inputs": {"text": ["21", 0], "clip": ["7", 0]}, + }, + "21": {"class_type": "PromptSearchList", "inputs": {"search": "x"}}, + "22": _encode(OTHER), + }, + ) + result = _inspect(graph) + self.assertEqual(result["state"], "unresolved") + self.assertEqual(result["reason_code"], "runtime-value") + + def test_chained_unknown_nodes(self): + graph = _with( + any_switch_graph(any_01=["20", 0]), + **{ + "20": { + "class_type": "Router Node (vendor)", + "inputs": {"in": ["10", 0]}, + } + }, + ) + self.assertEqual(_texts(_inspect(graph)), (POSITIVE, "")) + + def test_no_text_names_the_unknown_node(self): + graph = any_switch_graph(any_01=["7", 0]) + result = _inspect(graph) + self.assertEqual(result["state"], "unresolved") + self.assertEqual(result["reason_code"], "unsupported-node") + self.assertEqual( + result["node"], {"id": "15", "class_type": "Any Switch (rgthree)"} + ) + + def test_another_sampler_is_never_entered(self): + graph = any_switch_graph(any_01=["17", 0], any_02=["10", 0]) + graph["30"] = { + "class_type": "KSampler", + "inputs": {**graph["17"]["inputs"], "positive": ["31", 0]}, + } + graph["31"] = _encode(OTHER) + graph["15"]["inputs"]["any_01"] = ["30", 0] + result = _inspect(graph) + found = {item["sampler_id"]: _texts(item) for item in result["candidates"]} + self.assertEqual(found["17"], (POSITIVE, "")) + + +class TestLegacyShapedRules(unittest.TestCase): + def test_a_text_input_is_the_text(self): + graph = _with( + any_switch_graph(any_01=["20", 0]), + **{ + "20": { + "class_type": "VendorTextEncode", + "inputs": {"text": OTHER, "clip": ["9", 1]}, + } + }, + ) + self.assertEqual(_texts(_inspect(graph))[0], OTHER) + + def test_role_inputs_route_by_output_slot(self): + graph = any_switch_graph() + graph["20"] = { + "class_type": "VendorControlApply", + "inputs": { + "positive": ["21", 0], + "negative": ["22", 0], + "control_net": ["8", 0], + "image": ["8", 0], + }, + } + graph["21"] = _encode(POSITIVE) + graph["22"] = _encode(NEGATIVE) + graph["17"]["inputs"]["positive"] = ["20", 0] + graph["17"]["inputs"]["negative"] = ["20", 1] + self.assertEqual(_texts(_inspect(graph)), (POSITIVE, NEGATIVE)) + + def test_a_conditioning_input_is_followed_alone(self): + graph = _with( + any_switch_graph(any_01=["20", 0]), + **{ + "20": { + "class_type": "VendorStyleApply", + "inputs": {"conditioning": ["10", 0], "style": ["21", 0]}, + }, + "21": _encode(OTHER), + }, + ) + self.assertEqual(_texts(_inspect(graph)), (POSITIVE, "")) + + def test_core_type_inputs_are_skipped(self): + # The vendor encoder's ``clip`` reaches a loader with its own ``text``: + # that text is a lora tag, never the prompt. + graph = _with( + any_switch_graph(any_01=["20", 0]), + **{ + "20": { + "class_type": "VendorPromptEncode", + "inputs": {"prompt": ["21", 0], "clip": ["22", 1]}, + }, + "21": {"class_type": "PrimitiveString", "inputs": {"value": OTHER}}, + "22": { + "class_type": "VendorLoraLoader", + "inputs": {"text": "", "clip": ["7", 0]}, + }, + }, + ) + result = _inspect(graph) + self.assertEqual(result["state"], "resolved") + self.assertEqual(_texts(result)[0], OTHER) + + +class TestBounds(unittest.TestCase): + def test_a_long_unknown_chain_reaches_the_depth_limit(self): + graph = any_switch_graph(any_01=["100", 0]) + for index in range(100, 100 + resolver.INSPECTION_PROFILE.max_depth + 2): + graph[str(index)] = { + "class_type": "Router Node (vendor)", + "inputs": {"in": [str(index + 1), 0]}, + } + graph[str(index + 1)] = _pair() + result = _inspect(graph) + self.assertEqual(result["state"], "unresolved") + self.assertEqual(result["reason_code"], "depth-limit") + + def test_many_different_sources_hit_the_candidate_cap(self): + inputs = {} + graph = any_switch_graph() + for index in range(resolver._MAX_BRANCH_CANDIDATES + 1): + graph[str(200 + index)] = _encode(f"{OTHER} {index}") + inputs[f"any_{index:02}"] = [str(200 + index), 0] + graph["15"]["inputs"] = inputs + result = _inspect(graph) + self.assertEqual(result["state"], "unresolved") + self.assertEqual(result["reason_code"], "work-limit") + + +if __name__ == "__main__": + unittest.main() + + +class TestGeneratedAndTransformedText(unittest.TestCase): + def test_a_seeded_text_node_is_generated_at_run_time(self): + result = _inspect(graphs.generated_text_graph()) + self.assertEqual(result["state"], "unresolved") + self.assertEqual(result["reason_code"], "runtime-value") + self.assertEqual( + result["node"], {"id": "30", "class_type": "VendorTextGenerate"} + ) + + def test_the_recorded_text_is_authoritative(self): + # The record is what ran: a generated or transformed text is never + # checked against the generator's or transform's inputs. + for name, records in graphs.recorded_shapes().items(): + with self.subTest(shape=name): + metadata = { + "prompt": json.loads(records["prompt"]), + "comfyassets_prompt_pairs": records["comfyassets_prompt_pairs"], + } + result = resolve_prompt_pair( + metadata, profile=resolver.INSPECTION_PROFILE + ) + self.assertEqual(result["state"], "resolved", result["reason"]) + self.assertEqual(_texts(result), (graphs.GENERATED, "")) + self.assertEqual( + result["positive"]["provenance"]["text_source"], "execution" + ) + + def test_a_seeded_conditioning_node_still_passes_through(self): + graph = _with( + any_switch_graph(any_01=["20", 0]), + **{ + "20": { + "class_type": "VendorConditioningNoise", + "inputs": {"conditioning": ["10", 0], "seed": 3}, + } + }, + ) + self.assertEqual(_texts(_inspect(graph)), (POSITIVE, "")) + + +class TestReviewFindings(unittest.TestCase): + """Shapes from the independent review of the first #381 commit.""" + + def _recorded(self, text_source: dict) -> dict: + graph = any_switch_graph() + graph["10"]["inputs"]["text"] = ["30", 0] + graph.update(text_source) + metadata = { + "prompt": graph, + "comfyassets_prompt_pairs": graphs.execution("10", graphs.GENERATED), + } + return resolve_prompt_pair(metadata, profile=resolver.INSPECTION_PROFILE) + + def test_a_failing_walk_never_overrides_the_recorded_text(self): + sources = { + "missing": {"30": {"class_type": "XLLM", "inputs": {"src": ["99", 0]}}}, + "composite": { + "30": {"class_type": "XLLM", "inputs": {"src": ["31", 0]}}, + "31": { + "class_type": "ConditioningCombine", + "inputs": { + "conditioning_1": ["32", 0], + "conditioning_2": ["33", 0], + }, + }, + "32": _encode(POSITIVE), + "33": _encode(OTHER), + }, + "several": { + "30": { + "class_type": "XLLM", + "inputs": {"a": ["31", 0], "b": ["32", 0]}, + }, + "31": {"class_type": "PrimitiveString", "inputs": {"value": POSITIVE}}, + "32": {"class_type": "PrimitiveString", "inputs": {"value": OTHER}}, + }, + "list-text": {"30": {"class_type": "XLLM", "inputs": {"text": [1, 2, 3]}}}, + } + for name, source in sources.items(): + with self.subTest(source=name): + result = self._recorded(source) + self.assertEqual(result["state"], "resolved", result["reason"]) + self.assertEqual(_texts(result)[0], graphs.GENERATED) + + def test_the_seed_rule_reads_only_string_outputs(self): + graph = _with( + any_switch_graph(any_01=["20", 0]), + **{ + "20": {"class_type": "XNoise", "inputs": {"conditioning": ["21", 0]}}, + "21": { + "class_type": "XSeedEncode", + "inputs": {"clip": ["7", 0], "text": OTHER, "seed": 3}, + }, + }, + ) + self.assertEqual(_texts(_inspect(graph))[0], OTHER) + + def test_an_unlinked_role_input_adds_nothing(self): + graph = any_switch_graph() + graph["20"] = { + "class_type": "XApply", + "inputs": {"positive": ["21", 0], "negative_opt": ""}, + } + graph["21"] = _encode(POSITIVE) + graph["17"]["inputs"]["positive"] = ["20", 0] + graph["17"]["inputs"]["negative"] = ["20", 1] + result = _inspect(graph) + self.assertEqual(result["state"], "unresolved") + self.assertEqual(result["reason_code"], "unsupported-node") + self.assertEqual(result["node"], {"id": "20", "class_type": "XApply"}) + + def test_one_text_offered_twice_is_one_candidate(self): + graph = _with( + any_switch_graph(any_01=["20", 0], any_02=["23", 0]), + **{ + "20": {"class_type": "XB", "inputs": {"p": ["21", 0], "q": ["22", 0]}}, + "21": _encode(POSITIVE), + "22": _encode(OTHER), + "23": _encode(POSITIVE), + }, + ) + result = _inspect(graph) + self.assertEqual(result["state"], "ambiguous") + self.assertEqual( + [_texts(item)[0] for item in result["candidates"]], [POSITIVE, OTHER] + ) diff --git a/tests/test_resolver_pass_through.py b/tests/test_resolver_pass_through.py index fbc3aeef..856085a2 100644 --- a/tests/test_resolver_pass_through.py +++ b/tests/test_resolver_pass_through.py @@ -72,16 +72,24 @@ class TestHiresFixChain(unittest.TestCase): def test_an_unlisted_image_node_breaks_the_lineage(self): # The walk still finds the earlier sampler, but not through listed # pass-through nodes: the stages are never compared. - result = _inspect(shapes.hires_fix(filter_class="MysteryImageEffect")) + graph = shapes.hires_fix( + second_positive=shapes.POSITIVE, filter_class="MysteryImageEffect" + ) + result = _inspect(graph) self.assertEqual(result["state"], "ambiguous") later = next( item for item in result["candidates"] if item["sampler_id"] == "20" ) self.assertEqual(later["reason"], resolver.MULTISTAGE_UNATTRIBUTED_REASON) + # Stages on the very same conditioning links are one prompt (#381). + result = _inspect(shapes.hires_fix(filter_class="MysteryImageEffect")) + self.assertEqual(result["state"], "resolved") def test_a_second_earlier_sampler_in_the_ancestry_stays_unattributed(self): graph = shapes.hires_fix() - graph["30"] = shapes.ksampler(["2", 0], ["3", 0], ["4", 0]) + # Its own encoder: the same links would be one prompt (#381). + graph["33"] = shapes.encode(shapes.POSITIVE) + graph["30"] = shapes.ksampler(["33", 0], ["3", 0], ["4", 0]) graph["31"] = {"class_type": "VAEDecode", "inputs": {"samples": ["30", 0]}} graph["32"] = { "class_type": "ImageBlend", diff --git a/tests/test_resolver_saver_anchor.py b/tests/test_resolver_saver_anchor.py new file mode 100644 index 00000000..137c570d --- /dev/null +++ b/tests/test_resolver_saver_anchor.py @@ -0,0 +1,151 @@ +"""Saver anchoring by file name and shared-conditioning stages (#381). + +An inspected file's name anchors the walk on the one saver whose +``filename_prefix`` (literal or traced) makes ``_[_]``; the +samplers in that saver's image ancestry are the candidates. When no saver or +more than one matches, nothing is guessed: the file stays "several possible +prompts". A later stage reading the same positive and negative links as the +earlier stage has the same prompt whatever its latent ancestry. Shapes come +from the maintainer's runs (``tests/saver_anchor_graphs.py``). +""" + +import json +import unittest + +from utils import prompt_pair_resolver as resolver +from utils.prompt_inspector import inspect_prompt_evidence + +try: + from tests import saver_anchor_graphs as shapes +except ImportError: # discovered with ``-s tests`` + import saver_anchor_graphs as shapes + + +def _inspect(graph, file_name=None): + return resolver.resolve_prompt_pair( + {"prompt": graph}, profile=resolver.INSPECTION_PROFILE, file_name=file_name + ) + + +def _positive(result): + side = result["positive"] + return side["text"] if isinstance(side, dict) else None + + +class TestSaverAnchor(unittest.TestCase): + def test_the_file_name_picks_its_branch(self): + for index, text in enumerate(shapes.BRANCH_TEXTS, start=1): + for name in ( + f"s45_branch_{index}_00002_.png", + f"s45_branch_{index}_00002.webp", + ): + with self.subTest(file=name): + result = _inspect(shapes.branch_bench(), name) + self.assertEqual(result["state"], "resolved") + self.assertEqual(_positive(result), text) + self.assertEqual(result["sampler_id"], str(index * 10 + 1)) + + def test_unanchored_branches_stay_several(self): + self.assertEqual(_inspect(shapes.branch_bench())["state"], "ambiguous") + + def test_a_traced_prefix_anchors(self): + result = _inspect(shapes.linked_prefix_bench(), "s45_branch_3_00007_.png") + self.assertEqual(_positive(result), shapes.BRANCH_TEXTS[2]) + + def test_an_unknown_saver_class_anchors_too(self): + result = _inspect( + shapes.branch_bench(saver="VendorSaveImage"), "s45_branch_2_00001_.png" + ) + self.assertEqual(_positive(result), shapes.BRANCH_TEXTS[1]) + + def test_no_guessing_when_the_name_matches_none_or_several(self): + cases = { + "no saver matches": (shapes.branch_bench(), "photo_00001_.png"), + "not a counter": (shapes.branch_bench(), "s45_branch_3_final.png"), + "prefix of another branch": ( + shapes.branch_bench(), + "s45_branch_00001_.png", + ), + "shared prefix": (shapes.shared_prefix(), "IMG_GEN_00371_.png"), + } + for label, (graph, name) in cases.items(): + with self.subTest(case=label): + result = _inspect(graph, name) + self.assertEqual(result["state"], "ambiguous") + self.assertEqual(len(result["candidates"]), len(shapes.BRANCH_TEXTS)) + + def test_the_inspector_passes_the_file_name(self): + records = {"prompt": json.dumps(shapes.branch_bench())} + evidence = inspect_prompt_evidence(records, file_name="s45_branch_4_00009_.png") + self.assertEqual( + evidence["prompts"]["positive"]["text"], shapes.BRANCH_TEXTS[3] + ) + self.assertEqual( + inspect_prompt_evidence(records)["resolution"]["state"], "ambiguous" + ) + + def test_ingestion_ignores_the_file_name(self): + result = resolver.resolve_prompt_pair( + {"prompt": shapes.branch_bench()}, file_name="s45_branch_1_00001_.png" + ) + self.assertEqual(result["state"], "ambiguous") + + +class TestSharedConditioningStages(unittest.TestCase): + def test_a_later_stage_on_the_same_links_resolves(self): + for name in (None, "final_00003_.png"): + with self.subTest(file=name): + result = _inspect(shapes.two_stage_same_conditioning(), name) + self.assertEqual(result["state"], "resolved", result["reason"]) + self.assertEqual(_positive(result), shapes.BRANCH_TEXTS[0]) + + def test_different_links_stay_unattributed(self): + graph = shapes.two_stage_same_conditioning(second_positive=["91", 0]) + result = _inspect(graph, "final_00003_.png") + self.assertEqual(result["state"], "unresolved") + self.assertEqual(result["reason"], resolver.MULTISTAGE_UNATTRIBUTED_REASON) + + +if __name__ == "__main__": + unittest.main() + + +class TestReviewFindings(unittest.TestCase): + """Shapes from the independent review of the saver-anchor commit.""" + + def test_a_skipped_stage_never_hides_its_own_earlier_prompt(self): + result = _inspect(shapes.hidden_earlier_prompt(), "out_00001_.png") + self.assertNotEqual(result["state"], "resolved") + self.assertEqual(result["reason"], resolver.MULTISTAGE_UNATTRIBUTED_REASON) + + def test_a_skipped_stage_never_hides_its_override(self): + result = _inspect(shapes.hidden_earlier_prompt(override=True), "out_00001_.png") + self.assertNotEqual(result["state"], "resolved") + + def test_an_unfinished_prefix_scan_anchors_nothing(self): + graph = shapes.deep_prefixes(9) + for visits in range(10, 30): + with self.subTest(visits=visits): + result = resolver.resolve_prompt_pair( + {"prompt": graph}, + profile=resolver.INSPECTION_PROFILE, + max_visits=visits, + file_name="dup_00001_.png", + ) + self.assertNotEqual(result["state"], "resolved") + + +class TestPlainFirstStage(unittest.TestCase): + def test_only_a_plain_first_stage_is_skipped(self): + expected = { + "no-latent": "resolved", + "literal-latent": "unresolved", + "missing-latent": "unresolved", + "cyclic-latent": "unresolved", + "stage-shaped": "unresolved", + "detailer": "unresolved", + } + for kind, state in expected.items(): + with self.subTest(kind=kind): + result = _inspect(shapes.first_stage_variant(kind), "final_00003_.png") + self.assertEqual(result["state"], state, result["reason"]) diff --git a/tests/test_review_inspection.py b/tests/test_review_inspection.py index 33e4f3b0..bec27c2a 100644 --- a/tests/test_review_inspection.py +++ b/tests/test_review_inspection.py @@ -864,7 +864,11 @@ class TestInspectionResolverVersion(InspectionTestCase): } with ( - patch.object(review_capture, "INSPECTION_RESOLVER_VERSION", 2), + patch.object( + review_capture, + "INSPECTION_RESOLVER_VERSION", + review_capture.INSPECTION_RESOLVER_VERSION + 1, + ), patch.object(review_capture, "resolve_inspection", side_effect=newer), ): self.assertNotEqual(_version(), version) diff --git a/tests/test_utils_logging_config.py b/tests/test_utils_logging_config.py index 286c1cf1..3b07911e 100644 --- a/tests/test_utils_logging_config.py +++ b/tests/test_utils_logging_config.py @@ -1,8 +1,10 @@ """PromptManagerLogger: memory buffer, file rotation, level changes, truncation.""" import logging +import ntpath import os import pathlib +import stat import sys import tempfile import threading @@ -11,14 +13,20 @@ import unittest.mock as mock sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) -from utils import logging_config -from utils.logging_config import ( +from utils import logging_config # noqa: E402 +from utils.logging_config import ( # noqa: E402 MemoryBufferHandler, PromptManagerLogger, + RotatedChanged, get_logger, get_logger_manager, ) +try: + from tests.open_handles import assert_closed # noqa: E402 +except ImportError: # discovered with tests/ as the top-level directory + from open_handles import assert_closed # noqa: E402 + class IsolatedLoggerTestCase(unittest.TestCase): """A logger manager whose log directory is a temporary folder.""" @@ -32,6 +40,7 @@ class IsolatedLoggerTestCase(unittest.TestCase): with mock.patch.object(logging_config, "__file__", fake_file): self.manager = object.__new__(PromptManagerLogger) # bypass singleton self.manager.__init__() + self.allowed_thread_names = set() self.manager.update_config({"console_logging": False}) # Drop the "Updated logging configuration" entry. self.manager._log_buffer.clear() @@ -53,12 +62,21 @@ class IsolatedLoggerTestCase(unittest.TestCase): def _filter_to_this_thread(self): this_thread = threading.get_ident() + # A test may let named helper threads of its own through too. + allowed_names = self.allowed_thread_names + + def allowed(record): + return record.thread == this_thread or record.threadName in allowed_names + for handler in self.manager.logger.handlers: - handler.addFilter(lambda record: record.thread == this_thread) + handler.filters.clear() + handler.addFilter(allowed) def _restore_global_logging(self): for handler in logging.getLogger("prompt_manager").handlers[:]: handler.close() + # Windows refuses to delete an open log: prove every handle is closed. + assert_closed(self, self.tmp.name) get_logger_manager()._setup_loggers() self.tmp.cleanup() @@ -175,15 +193,14 @@ class TestFilesAndRotation(IsolatedLoggerTestCase): def test_unreadable_files_are_skipped_in_the_listing(self): self.logger.info("something") - original_stat = pathlib.Path.stat + original_lstat = os.lstat - def stat_failing_for_logs(path, *args, **kwargs): - if path.suffix == ".log": + def lstat_failing_for_logs(path, *args, **kwargs): + if str(path).endswith(".log"): raise OSError("denied") - return original_stat(path, *args, **kwargs) + return original_lstat(path, *args, **kwargs) - with mock.patch.object(pathlib.Path, "stat", autospec=True) as stat: - stat.side_effect = stat_failing_for_logs + with mock.patch.object(logging_config.os, "lstat", lstat_failing_for_logs): self.assertEqual(self.manager.get_log_files(), []) def test_truncate_does_not_roll_the_log_over_while_deleting_backups(self): @@ -228,10 +245,522 @@ class TestFilesAndRotation(IsolatedLoggerTestCase): def test_truncate_reports_files_it_cannot_remove(self): self._rotate() - with mock.patch.object(pathlib.Path, "unlink", side_effect=OSError("busy")): + + def busy(path, *args, **kwargs): + raise PermissionError(13, "busy", str(path)) + + with mock.patch.object(logging_config.os, "unlink", busy): result = self.manager.truncate_logs() self.assertEqual(len(result["errors"]), 2) self.assertEqual(result["truncated"], ["prompt_manager.log"]) + for error in result["errors"]: + self.assertNotIn(self.tmp.name, error) + self.assertRegex(error, r"prompt_manager\.log\.[12]") + + +class TestRotatedCopyRule(IsolatedLoggerTestCase): + """Rule R (#329): only prompt_manager.log. regular files are deletable.""" + + def setUp(self): + super().setUp() + self.logger.info("active log line") # the active log exists + self.outside = os.path.join(self.tmp.name, "outside") + os.makedirs(self.outside) + + def _path(self, name): + return os.path.join(self.log_dir, name) + + def _write(self, name, data=b"rotated\n"): + with open(self._path(name), "wb") as handle: + handle.write(data) + return self._path(name) + + def _symlink(self, name, target_name="secret.txt", data=b"secret " * 1000): + """A symlink in the log folder to a file outside it, or None.""" + target = os.path.join(self.outside, target_name) + with open(target, "wb") as handle: + handle.write(data) + try: + os.symlink(target, self._path(name)) + except (OSError, NotImplementedError): # pragma: no cover - no privilege + return None + return target + + def _require_symlink(self, name, **kwargs): + target = self._symlink(name, **kwargs) + if target is None: # pragma: no cover - Windows without the privilege + self.skipTest("this account cannot create symlinks") + return target + + def _kinds(self): + return {row["name"]: row["kind"] for row in self.manager.scan_log_folder()} + + def _rotated_rows(self): + return [r for r in self.manager.scan_log_folder() if r["kind"] == "rotated"] + + def _names(self): + return sorted(os.listdir(self.log_dir)) + + def _file_handler(self): + return next( + h + for h in self.manager.logger.handlers + if isinstance(h, logging.FileHandler) + ) + + def test_scan_classes_rotated_active_link_and_other(self): + for name in ("prompt_manager.log.1", "prompt_manager.log.2"): + self._write(name) + self._write("prompt_manager.log.3", b"x" * 3000) + for name in ( + "prompt_manager.log.0", + "prompt_manager.log.01", + "prompt_manager.log.bak", + "prompt_manager.log.1.gz", + "prompt_manager.log.-1", + "notes.txt", + ): + self._write(name) + os.makedirs(self._path("prompt_manager.log.5")) + self._require_symlink("prompt_manager.log.4") + kinds = self._kinds() + self.assertEqual( + kinds, + { + "prompt_manager.log": "active", + "prompt_manager.log.1": "rotated", + "prompt_manager.log.2": "rotated", + "prompt_manager.log.3": "rotated", + "prompt_manager.log.0": "other", + "prompt_manager.log.01": "other", + "prompt_manager.log.bak": "other", + "prompt_manager.log.1.gz": "other", + "prompt_manager.log.-1": "other", + "notes.txt": "other", + "prompt_manager.log.5": "other", + "prompt_manager.log.4": "link", + }, + ) + row = next( + r + for r in self.manager.scan_log_folder() + if r["name"] == "prompt_manager.log.3" + ) + self.assertEqual( + set(row), {"name", "kind", "size", "mtime_ns", "ino", "modified"} + ) + stat = os.lstat(self._path("prompt_manager.log.3")) + self.assertEqual(row["size"], 3000) + self.assertEqual(row["mtime_ns"], stat.st_mtime_ns) + self.assertEqual(row["ino"], stat.st_ino) + + def test_scan_matches_names_case_insensitively_on_windows(self): + self._write("PROMPT_MANAGER.LOG.2") + if os.name == "nt": # pragma: no cover - native case folding + self.assertEqual(self._kinds()["PROMPT_MANAGER.LOG.2"], "rotated") + return + # POSIX names are case-sensitive: another file, never deleted. + self.assertEqual(self._kinds()["PROMPT_MANAGER.LOG.2"], "other") + with mock.patch.object(logging_config, "_name_key", ntpath.normcase): + self.assertEqual(self._kinds()["PROMPT_MANAGER.LOG.2"], "rotated") + result = self.manager.delete_rotated(self._rotated_rows()) + self.assertEqual(result["removed"], ["PROMPT_MANAGER.LOG.2"]) + + def test_a_junction_is_classed_as_a_link_and_kept(self): + # Portable control: whatever os.path.isjunction reports is a link. + self._write("prompt_manager.log.4") + self._write("prompt_manager.log.1") + junction = self._path("prompt_manager.log.4") + real_isjunction = os.path.isjunction + + def isjunction(path): + return os.fspath(path) == junction or real_isjunction(path) + + with mock.patch.object(logging_config.os.path, "isjunction", isjunction): + self.assertEqual(self._kinds()["prompt_manager.log.4"], "link") + self.manager.delete_rotated(self._rotated_rows()) + self.manager.truncate_logs() + self.assertIn("prompt_manager.log.4", self._names()) + self.assertNotIn("prompt_manager.log.1", self._names()) + + @unittest.skipUnless(os.name == "nt", "junctions exist only on Windows") + def test_junction_is_never_deleted_on_windows(self): # pragma: no cover + import _winapi + + target = os.path.join(self.outside, "kept") + os.makedirs(target) + with open(os.path.join(target, "inside.txt"), "wb") as handle: + handle.write(b"keep me") + _winapi.CreateJunction(target, self._path("prompt_manager.log.4")) + self._write("prompt_manager.log.1") + self.assertEqual(self._kinds()["prompt_manager.log.4"], "link") + self.manager.delete_rotated(self._rotated_rows()) + self.manager.truncate_logs() + self.assertIn("prompt_manager.log.4", self._names()) + self.assertTrue(os.path.exists(os.path.join(target, "inside.txt"))) + with self.assertRaises(FileNotFoundError): + self.manager.log_file_entry("prompt_manager.log.4") + os.rmdir(self._path("prompt_manager.log.4")) # removes the junction only + + def test_delete_rotated_removes_exactly_the_listed_files(self): + for n in (1, 2, 3): + self._write(f"prompt_manager.log.{n}", b"r" * n) + self._write("prompt_manager.log.bak") + os.makedirs(self._path("prompt_manager.log.7")) + target = self._symlink("prompt_manager.log.4") + listed = [ + r for r in self._rotated_rows() if r["name"] != "prompt_manager.log.3" + ] + result = self.manager.delete_rotated(listed) + self.assertEqual( + result, + {"removed": ["prompt_manager.log.1", "prompt_manager.log.2"], "failed": []}, + ) + expected = [ + "prompt_manager.log", + "prompt_manager.log.3", + "prompt_manager.log.7", + "prompt_manager.log.bak", + ] + if target is not None: + expected.append("prompt_manager.log.4") + self.assertTrue(os.path.exists(target)) + self.assertEqual(self._names(), sorted(expected)) + + def test_delete_rotated_refuses_all_when_one_changed(self): + def change_size(path): + with open(path, "ab") as handle: + handle.write(b"more") + + def change_mtime(path): + stat = os.lstat(path) + os.utime(path, ns=(stat.st_atime_ns, stat.st_mtime_ns + 5_000_000_000)) + + def change_inode(path): + stat = os.lstat(path) + with open(path, "rb") as handle: + data = handle.read() + other = path + ".new" + with open(other, "wb") as handle: + handle.write(data) + os.utime(other, ns=(stat.st_atime_ns, stat.st_mtime_ns)) + os.replace(other, path) + if os.lstat(path).st_ino in (0, stat.st_ino): # pragma: no cover + self.skipTest("this filesystem reports no inode numbers") + + def remove(path): + os.unlink(path) + + def replace_by_link(path): + os.unlink(path) + target = os.path.join(self.outside, "elsewhere.txt") + with open(target, "wb") as handle: + handle.write(b"rotated\n") + try: + os.symlink(target, path) + except (OSError, NotImplementedError): # pragma: no cover + self.skipTest("this account cannot create symlinks") + + changes = { + "size": change_size, + "mtime": change_mtime, + "inode": change_inode, + "missing": remove, + "link": replace_by_link, + } + for label, change in changes.items(): + with self.subTest(change=label): + for n in (1, 2, 3): + self._write(f"prompt_manager.log.{n}", b"rotated\n") + reviewed = self._rotated_rows() + change(self._path("prompt_manager.log.2")) + before = self._names() + with self.assertRaises(RotatedChanged): + self.manager.delete_rotated(reviewed) + self.assertEqual(self._names(), before) + self.assertIn("prompt_manager.log.1", before) + self.assertIn("prompt_manager.log.3", before) + for name in self._names(): + if name.startswith("prompt_manager.log."): + os.unlink(self._path(name)) + + def test_rollover_waits_while_cleanup_holds_the_handler_lock(self): + # The file is already over its limit: the next record rolls it over, + # renaming .1 to .2 and the active log to .1. + self.manager.update_config({"max_file_size": 64, "backup_count": 3}) + self.logger.info("x" * 100) + self._write("prompt_manager.log.1", b"first copy\n") + self._write("prompt_manager.log.2", b"second copy\n") + reviewed = self._rotated_rows() + holding = threading.Event() + release = threading.Event() + logged = threading.Event() + real_unlink = os.unlink + self.allowed_thread_names.add("pm-test-rollover") + + def log_from_another_thread(): + self.logger.info("rolls the log over") + logged.set() + + worker = threading.Thread( + target=log_from_another_thread, name="pm-test-rollover", daemon=True + ) + + def slow_unlink(path, *args, **kwargs): + if not holding.is_set(): + worker.start() # its record must wait for the cleanup's lock + holding.set() + if not release.wait(10): + raise RuntimeError("the test never released the cleanup") + return real_unlink(path, *args, **kwargs) + + result = {} + + def cleanup(): + result.update(self.manager.delete_rotated(reviewed)) + + with mock.patch.object(logging_config.os, "unlink", slow_unlink): + cleaner = threading.Thread(target=cleanup, daemon=True) + cleaner.start() + self.assertTrue(holding.wait(10), "the cleanup never started deleting") + # The record waits on the handler lock the cleanup holds. + self.assertFalse(logged.wait(0.3), "a record was written mid-cleanup") + release.set() + cleaner.join(10) + worker.join(10) + self.assertFalse(cleaner.is_alive()) + self.assertTrue(logged.is_set()) + self.assertEqual( + result, + {"removed": ["prompt_manager.log.1", "prompt_manager.log.2"], "failed": []}, + ) + # The rollover ran after the cleanup: only the old active log moved. + self.assertEqual(self._names(), ["prompt_manager.log", "prompt_manager.log.1"]) + with open(self._path("prompt_manager.log.1"), "rb") as handle: + self.assertIn(b"x" * 100, handle.read()) + + def test_open_rotated_copy_is_reported_not_deleted(self): + for n in (1, 2, 3): + self._write(f"prompt_manager.log.{n}") + real_unlink = os.unlink + held = self._path("prompt_manager.log.2") + + def unlink(path, *args, **kwargs): + if os.fspath(path) == held: + error = PermissionError( + 13, + "The process cannot access the file because it is being " + "used by another process", + held, + ) + error.winerror = 32 + raise error + return real_unlink(path, *args, **kwargs) + + with mock.patch.object(logging_config.os, "unlink", unlink): + result = self.manager.delete_rotated(self._rotated_rows()) + self.assertEqual( + result["removed"], ["prompt_manager.log.1", "prompt_manager.log.3"] + ) + [(name, error)] = result["failed"] + self.assertEqual(name, "prompt_manager.log.2") + self.assertIsInstance(error, PermissionError) + self.assertIn("prompt_manager.log.2", self._names()) + + @unittest.skipUnless(os.name == "nt", "only Windows refuses to unlink an open file") + def test_open_rotated_copy_is_reported_not_deleted_on_windows( + self, + ): # pragma: no cover + for n in (1, 2, 3): + self._write(f"prompt_manager.log.{n}") + reviewed = self._rotated_rows() + handle = open(self._path("prompt_manager.log.2"), "rb") + try: + result = self.manager.delete_rotated(reviewed) + finally: + handle.close() + self.assertEqual( + result["removed"], ["prompt_manager.log.1", "prompt_manager.log.3"] + ) + [(name, error)] = result["failed"] + self.assertEqual(name, "prompt_manager.log.2") + self.assertIsInstance(error, PermissionError) + self.assertIn("prompt_manager.log.2", self._names()) + + def test_cleanup_never_logs_while_holding_the_handler_lock(self): + for n in (1, 2): + self._write(f"prompt_manager.log.{n}") + handler = self._file_handler() + depth = 0 + calls = [] + real_acquire, real_release = handler.acquire, handler.release + + def acquire(): + nonlocal depth + real_acquire() + depth += 1 + + def release(): + nonlocal depth + depth -= 1 + real_release() + + real_call_handlers = logging.Logger.callHandlers + + def call_handlers(logger_self, record): + calls.append((record.getMessage(), depth)) + return real_call_handlers(logger_self, record) + + with ( + mock.patch.object(handler, "acquire", acquire), + mock.patch.object(handler, "release", release), + mock.patch.object(logging.Logger, "callHandlers", call_handlers), + ): + self.manager.delete_rotated(self._rotated_rows()) + self.assertEqual(depth, 0) + self._write("prompt_manager.log.1") + self.manager.truncate_logs() + self.assertEqual(depth, 0) + self.assertTrue(calls, "the cleanup logged no summary") + self.assertEqual([c for c in calls if c[1]], []) + + def test_truncate_keeps_other_files_and_links(self): + # Corrected (#329): the legacy glob deleted every prompt_manager.log*. + self._rotate() + self._write("prompt_manager.log.bak", b"mine") + self._write("prompt_manager.log.1.gz", b"zip") + target = self._symlink("prompt_manager.log.4") + result = self.manager.truncate_logs() + self.assertEqual(result["errors"], []) + self.assertEqual( + sorted(result["truncated"]), + ["prompt_manager.log", "prompt_manager.log.1", "prompt_manager.log.2"], + ) + names = self._names() + self.assertIn("prompt_manager.log.bak", names) + self.assertIn("prompt_manager.log.1.gz", names) + self.assertNotIn("prompt_manager.log.1", names) + if target is not None: + self.assertIn("prompt_manager.log.4", names) + self.assertTrue(os.path.islink(self._path("prompt_manager.log.4"))) + with open(target, "rb") as handle: + self.assertEqual(handle.read(), b"secret " * 1000) + + @unittest.skipIf(os.name == "nt", "Windows cannot rename a log that is open") + def test_truncate_never_empties_a_renamed_log_the_handler_still_writes(self): + # The user renamed the active log to keep it; the handler still has it + # open. Clear must empty the new prompt_manager.log, not the kept copy. + self.logger.info("worth keeping") + kept = os.path.join(self.log_dir, "saved_copy.txt") + os.rename(self._path("prompt_manager.log"), kept) + with open(kept, "rb") as handle: + before = handle.read() + self._write("prompt_manager.log", b"fresh active log\n") + result = self.manager.truncate_logs() + self.assertEqual(result["errors"], []) + with open(kept, "rb") as handle: + self.assertTrue(handle.read().startswith(before)) + with open(self._path("prompt_manager.log"), "rb") as handle: + self.assertEqual(handle.read(), b"") + + def test_name_surrogate_reparse_points_are_links_and_placeholders_are_not(self): + regular = stat.S_IFREG | 0o644 + path = self._write("prompt_manager.log.3") + for tag, is_link in ( + (0xA000001D, True), # WSL symlink + (0xA0000003, True), # mount point (junction) + (0x9000001A, False), # OneDrive cloud placeholder: a regular file + (0, False), + ): + with self.subTest(tag=hex(tag)): + st = mock.Mock(st_mode=regular, st_reparse_tag=tag) + self.assertIs(logging_config._is_link(path, st), is_link) + + def test_truncate_with_file_logging_off_never_creates_the_active_log(self): + self.manager.update_config({"file_logging": False}) + os.unlink(self._path("prompt_manager.log")) + self._write("prompt_manager.log.1") + result = self.manager.truncate_logs() + self.assertEqual(result, {"truncated": ["prompt_manager.log.1"], "errors": []}) + self.assertEqual(self._names(), []) + + def test_truncate_never_empties_a_linked_active_log(self): + self.manager.update_config({"file_logging": False}) + os.unlink(self._path("prompt_manager.log")) + target = self._require_symlink("prompt_manager.log", data=b"keep") + self.manager.truncate_logs() + with open(target, "rb") as handle: + self.assertEqual(handle.read(), b"keep") + + def test_log_files_mark_kind_and_lstat_links(self): + self._write("prompt_manager.log.1", b"r" * 10) + self._write("prompt_manager.log.bak", b"b") + target = self._require_symlink("prompt_manager.log.4") + rows = {row["filename"]: row for row in self.manager.get_log_files()} + self.assertEqual(rows["prompt_manager.log"]["kind"], "active") + self.assertTrue(rows["prompt_manager.log"]["is_main"]) + self.assertEqual(rows["prompt_manager.log.1"]["kind"], "rotated") + self.assertEqual(rows["prompt_manager.log.bak"]["kind"], "other") + link = rows["prompt_manager.log.4"] + self.assertEqual(link["kind"], "link") + self.assertEqual( + link["size"], os.lstat(self._path("prompt_manager.log.4")).st_size + ) + self.assertNotEqual(link["size"], os.path.getsize(target)) + for row in rows.values(): + self.assertEqual( + set(row), {"filename", "path", "size", "modified", "is_main", "kind"} + ) + + def test_an_unreadable_timestamp_does_not_break_the_scan(self): + self._write("prompt_manager.log.1") + real = logging_config.datetime + + class Clock: + @staticmethod + def fromtimestamp(value): + raise OSError(22, "Invalid argument") + + with mock.patch.object(logging_config, "datetime", Clock): + rows = {r["name"]: r for r in self.manager.scan_log_folder()} + self.assertIs(logging_config.datetime, real) + self.assertEqual(rows["prompt_manager.log.1"]["kind"], "rotated") + self.assertEqual(rows["prompt_manager.log.1"]["modified"], "") + + def test_stats_exclude_links(self): + self._write("prompt_manager.log.1", b"r" * 10) + before = self.manager.get_log_stats() + self._require_symlink("prompt_manager.log.4") + after = self.manager.get_log_stats() + self.assertEqual(after["log_files_count"], before["log_files_count"]) + self.assertEqual(after["total_log_size"], before["total_log_size"]) + + def test_log_file_entry_accepts_only_listed_regular_files(self): + self._write("prompt_manager.log.1") + self._write("prompt_manager.log.bak") + os.makedirs(self._path("folder.log")) + self._symlink("prompt_manager.log.4") + self.assertEqual( + os.path.normcase(str(self.manager.log_file_entry("prompt_manager.log.1"))), + os.path.normcase(self._path("prompt_manager.log.1")), + ) + self.manager.log_file_entry("prompt_manager.log") + self.manager.log_file_entry("prompt_manager.log.bak") + for name in ( + "prompt_manager.log.4", + "folder.log", + "missing.log", + "", + ".", + "..", + "../outside/secret.txt", + "..\\outside\\secret.txt", + "prompt_manager.log:stream", + "prompt_manager.log\x00", + ): + with self.subTest(name=name): + with self.assertRaises(FileNotFoundError): + self.manager.log_file_entry(name) class TestConfiguration(IsolatedLoggerTestCase): diff --git a/tests/unknown_node_graphs.py b/tests/unknown_node_graphs.py new file mode 100644 index 00000000..c6edd29e --- /dev/null +++ b/tests/unknown_node_graphs.py @@ -0,0 +1,321 @@ +"""Synthetic graphs with unknown nodes between the prompt and the sampler (#381). + +``any_switch_graph`` reproduces the shape of the maintainer's krea2 run +(PromptManagerPair -> Any Switch (rgthree) -> KSampler, a LoraManager loader +with its own lora ``text``, custom latent, filename and saver nodes) with +neutral texts. ``shapes()`` names one graph per pass-through rule; the resolver +tests and the browser-port parity vectors share them. No user file is involved. +""" + +import json + +POSITIVE = "a lighthouse on a cliff, golden hour" +OTHER = "a red bicycle in the rain" +NEGATIVE = "blurry, lowres" + + +def encode(text): + return {"class_type": "CLIPTextEncode", "inputs": {"text": text, "clip": ["7", 0]}} + + +def pair(text=POSITIVE, negative=""): + return { + "class_type": "PromptManagerPair", + "inputs": { + "text": text, + "negative_text": negative, + "category": "", + "tags": "", + "search_text": "", + "prepend_text": "", + "append_text": "", + "clip": ["9", 1], + }, + } + + +def any_switch_graph(**switch_inputs): + """The shape of #381: PromptManagerPair -> Any Switch (rgthree) -> KSampler. + + Classes and links reproduce the maintainer's krea2 run (a LoraManager + loader with its own lora ``text``, a project-path filename node, a custom + latent and saver); the texts are neutral. + """ + inputs = switch_inputs or {"any_02": ["10", 0]} + return { + "3": {"class_type": "SeedHistory", "inputs": {"seed": 1538595059}}, + "5": { + "class_type": "KikoProjectFilePath", + "inputs": {"project_name": "demo", "filename": "final"}, + }, + "6": {"class_type": "UNETLoader", "inputs": {"unet_name": "model.safetensors"}}, + "7": {"class_type": "CLIPLoader", "inputs": {"clip_name": "clip.safetensors"}}, + "8": {"class_type": "VAELoader", "inputs": {"vae_name": "vae.safetensors"}}, + "9": { + "class_type": "Lora Loader (LoraManager)", + "inputs": { + "text": "", + "loras": [{"name": "style-demo", "strength": 1, "active": True}], + "model": ["6", 0], + "clip": ["7", 0], + }, + }, + "10": pair(), + "15": {"class_type": "Any Switch (rgthree)", "inputs": inputs}, + "16": { + "class_type": "EmptyLatentBatch", + "inputs": {"width": 1024, "height": 1536, "batch_size": 1}, + }, + "17": { + "class_type": "KSampler", + "inputs": { + "seed": ["3", 0], + "steps": 8, + "cfg": 1.0, + "sampler_name": "er_sde", + "scheduler": "beta", + "denoise": 1.0, + "model": ["9", 0], + "positive": ["15", 0], + "negative": ["10", 1], + "latent_image": ["16", 0], + }, + }, + "18": { + "class_type": "VAEDecode", + "inputs": {"samples": ["17", 0], "vae": ["8", 0]}, + }, + "19": { + "class_type": "KikoSaveImage", + "inputs": {"filename_prefix": ["5", 0], "images": ["18", 0]}, + }, + } + + +def with_nodes(graph, **nodes): + return {**graph, **nodes} + + +GENERATED = "a generated caption of a lighthouse" + + +def generated_text_graph(): + """PromptManagerPair whose ``text`` is a language model's output. + + The generator (``sampling_mode.seed``, ``prompt``, ``system_prompt``) + writes new text at run time: its inputs are not the prompt. + """ + graph = any_switch_graph() + graph["10"]["inputs"]["text"] = ["30", 0] + graph["30"] = { + "class_type": "VendorTextGenerate", + "inputs": { + "prompt": ["31", 0], + "system_prompt": ["32", 0], + "sampling_mode.seed": 0, + "clip": ["7", 0], + }, + } + graph["31"] = {"class_type": "PrimitiveStringMultiline", "inputs": {"value": OTHER}} + graph["32"] = {"class_type": "PrimitiveStringMultiline", "inputs": {"value": "You"}} + return graph + + +def transformed_text_graph(): + """PromptManagerPair whose ``text`` passes an unknown string transform.""" + graph = any_switch_graph() + graph["10"]["inputs"]["text"] = ["30", 0] + graph["30"] = { + "class_type": "VendorRegexReplace", + "inputs": {"text": OTHER, "pattern": "rain", "replace": "snow"}, + } + return graph + + +def execution(node_id, text): + """A ``comfyassets_prompt_pairs`` record of what the pair node ran.""" + record = { + "text": text, + "negative_text": "", + "positive_text": text, + "negative_effective_text": "", + "prepend_text": "", + "append_text": "", + } + return json.dumps({"version": 1, "nodes": {node_id: {"records": [record]}}}) + + +def recorded_shapes(): + """Record sets whose PromptManager node recorded the text it ran.""" + return { + "generated-recorded": { + "prompt": json.dumps(generated_text_graph()), + "comfyassets_prompt_pairs": execution("10", GENERATED), + }, + "transformed-recorded": { + "prompt": json.dumps(transformed_text_graph()), + "comfyassets_prompt_pairs": execution("10", GENERATED), + }, + } + + +def _sampler_inputs(graph, positive, negative): + graph["17"]["inputs"]["positive"] = positive + graph["17"]["inputs"]["negative"] = negative + return graph + + +def shapes(): + """One named graph per rule (resolved, candidates, PromptManager, refusals).""" + vendor_encode = { + "class_type": "VendorPromptEncode", + "inputs": {"prompt": ["21", 0], "clip": ["22", 1]}, + } + control = { + "class_type": "VendorControlApply", + "inputs": { + "positive": ["21", 0], + "negative": ["22", 0], + "control_net": ["8", 0], + "image": ["8", 0], + }, + } + return { + "any-switch-pair": any_switch_graph(), + "any-switch-same-pair": any_switch_graph(any_01=["10", 0], any_02=["10", 0]), + "any-switch-equal-texts": with_nodes( + any_switch_graph(any_01=["20", 0], any_02=["21", 0]), + **{"20": encode(OTHER), "21": encode(OTHER)}, + ), + "any-switch-candidates": with_nodes( + any_switch_graph(any_01=["20", 0], any_02=["21", 0]), + **{"20": encode(POSITIVE), "21": encode(OTHER)}, + ), + "any-switch-prompt-manager-wins": with_nodes( + any_switch_graph(any_01=["20", 0], any_02=["10", 0]), + **{"20": encode(OTHER)}, + ), + "any-switch-runtime-blocks": with_nodes( + any_switch_graph(any_01=["20", 0], any_02=["22", 0]), + **{ + "20": { + "class_type": "CLIPTextEncode", + "inputs": {"text": ["21", 0], "clip": ["7", 0]}, + }, + "21": {"class_type": "PromptSearchList", "inputs": {"search": "x"}}, + "22": encode(OTHER), + }, + ), + "any-switch-no-text": any_switch_graph(any_01=["7", 0]), + "unknown-chain": with_nodes( + any_switch_graph(any_01=["20", 0]), + **{ + "20": { + "class_type": "Router Node (vendor)", + "inputs": {"in": ["10", 0]}, + } + }, + ), + "unknown-text-input": with_nodes( + any_switch_graph(any_01=["20", 0]), + **{ + "20": { + "class_type": "VendorTextEncode", + "inputs": {"text": OTHER, "clip": ["9", 1]}, + } + }, + ), + "unknown-role-inputs": _sampler_inputs( + with_nodes( + any_switch_graph(), + **{"20": control, "21": encode(POSITIVE), "22": encode(NEGATIVE)}, + ), + ["20", 0], + ["20", 1], + ), + "unknown-conditioning-input": with_nodes( + any_switch_graph(any_01=["20", 0]), + **{ + "20": { + "class_type": "VendorStyleApply", + "inputs": {"conditioning": ["10", 0], "style": ["21", 0]}, + }, + "21": encode(OTHER), + }, + ), + "generated-text-runtime": generated_text_graph(), + "transformed-text": transformed_text_graph(), + "unknown-skips-clip": with_nodes( + any_switch_graph(any_01=["20", 0]), + **{ + "20": vendor_encode, + "21": {"class_type": "PrimitiveString", "inputs": {"value": OTHER}}, + "22": { + "class_type": "VendorLoraLoader", + "inputs": {"text": "", "clip": ["7", 0]}, + }, + }, + ), + } + + +def review_shapes(): + """Record sets for the review findings on the first #381 commit.""" + + def recorded(source): + graph = any_switch_graph() + graph["10"]["inputs"]["text"] = ["30", 0] + graph.update(source) + return { + "prompt": json.dumps(graph), + "comfyassets_prompt_pairs": execution("10", GENERATED), + } + + seeded = with_nodes( + any_switch_graph(any_01=["20", 0]), + **{ + "20": {"class_type": "XNoise", "inputs": {"conditioning": ["21", 0]}}, + "21": { + "class_type": "XSeedEncode", + "inputs": {"clip": ["7", 0], "text": OTHER, "seed": 3}, + }, + }, + ) + unlinked = any_switch_graph() + unlinked["20"] = { + "class_type": "XApply", + "inputs": {"positive": ["21", 0], "negative_opt": ""}, + } + unlinked["21"] = encode(POSITIVE) + unlinked["17"]["inputs"]["positive"] = ["20", 0] + unlinked["17"]["inputs"]["negative"] = ["20", 1] + twice = with_nodes( + any_switch_graph(any_01=["20", 0], any_02=["23", 0]), + **{ + "20": {"class_type": "XB", "inputs": {"p": ["21", 0], "q": ["22", 0]}}, + "21": encode(POSITIVE), + "22": encode(OTHER), + "23": encode(POSITIVE), + }, + ) + return { + "recorded-missing": recorded( + {"30": {"class_type": "XLLM", "inputs": {"src": ["99", 0]}}} + ), + "recorded-several": recorded( + { + "30": { + "class_type": "XLLM", + "inputs": {"a": ["31", 0], "b": ["32", 0]}, + }, + "31": {"class_type": "PrimitiveString", "inputs": {"value": POSITIVE}}, + "32": {"class_type": "PrimitiveString", "inputs": {"value": OTHER}}, + } + ), + "recorded-list-text": recorded( + {"30": {"class_type": "XLLM", "inputs": {"text": [1, 2, 3]}}} + ), + "seeded-encoder-behind-noise": {"prompt": json.dumps(seeded)}, + "unlinked-role-input": {"prompt": json.dumps(unlinked)}, + "one-text-twice": {"prompt": json.dumps(twice)}, + } diff --git a/tests/vendor/browser-image.test.mjs b/tests/vendor/browser-image.test.mjs index 5f1c742a..1b969eb9 100644 --- a/tests/vendor/browser-image.test.mjs +++ b/tests/vendor/browser-image.test.mjs @@ -28,3 +28,24 @@ for (const name of ['frontend-coverage', 'browser-workflows']) { assert.match(body, /node --version \| grep -q '\^v24\\\.'/, 'the image Node is the Node 24 the project requires'); }); } + +// The real-host job drives Chromium against a managed ComfyUI. `playwright install --with-deps` pulled the browser's +// system packages from Ubuntu's apt mirror on every run, and three runs (#349, #378, #382) crawled at ~26 kB/s until +// the job hit its limit after every test had passed. The pinned image ships Chromium and its libraries, so the job runs +// there; the image Python must be the reviewed host Python from tools/vendor/comfyui-runtime.json. +test('real ComfyUI compatibility runs in the pinned Playwright image on the reviewed host Python', () => { + const testWorkflow = readFileSync(new URL('../../.github/workflows/test.yml', import.meta.url), 'utf8'); + const runtime = JSON.parse(readFileSync(new URL('../../tools/vendor/comfyui-runtime.json', import.meta.url), 'utf8')); + const match = testWorkflow.match(/^ {2}comfyui:\n([\s\S]*?)(?=^ {2}[a-z][a-z-]*:\n|(?![\s\S]))/m); + assert.ok(match, 'comfyui job exists'); + const body = match[1]; + assert.match(body, new RegExp(`^ container:\\n image: mcr\\.microsoft\\.com/playwright:v${version.replaceAll('.', '\\.')}-noble$`, 'm')); + assert.doesNotMatch(body, /playwright install/, 'Chromium and its system libraries come from the image, not apt'); + assert.doesNotMatch(body, /apt-get|actions\/setup-(python|node)@/); + assert.match(body, /python3 -m venv --without-pip /, 'a user-space venv on the image Python'); + assert.match(body, /sha256sum -c/, 'the pip wheel that bootstraps the venv is checksum-pinned'); + assert.match(body, /node --version \| grep -q '\^v24\\\.'/, 'the image Node is Node 24'); + // The image Python is checked against the pin at run time, so a pin or image bump that disagrees fails loudly. + assert.match(body, /steps\.runtime\.outputs\.pythonVersion/, 'the job compares the image Python with the reviewed pin'); + assert.match(runtime.pythonVersion, /^3\.12$/, 'the reviewed host Python is the image Python (3.12 on noble)'); +}); diff --git a/utils/inspection_semantics.py b/utils/inspection_semantics.py index f334ade6..4eb366cb 100644 --- a/utils/inspection_semantics.py +++ b/utils/inspection_semantics.py @@ -13,7 +13,7 @@ profile never imports it, so a missing or bad table can never break ingestion. An invalid table raises ``SemanticsError`` so a bad edit fails loudly instead of silently changing what the inspector resolves. The file is bounded in size and nesting before it is validated. Every class appears in exactly one prompt -category; classes that are not listed stay ``unsupported-node``. ``lineage`` +category; an unlisted output of a listed class stays ``unsupported-node``. ``lineage`` (image and latent pass-through outputs for multi-stage chains) describes no prompt, so its classes are not claimed by a category. @@ -23,9 +23,13 @@ keys, no whitespace): any change of content, never of layout, moves it. folds into the version of the items it records from the inspection profile (``utils.review_capture``): the SHA-256 of ``class_projection``, the table restricted to what it says about ``classes`` (the node classes of one graph) -plus the class-independent ``schema`` and ``stage_inputs``. The resolver looks -the table up only by the class of a graph node, so an edit about other -classes cannot change how that graph resolves and leaves the version alone. +plus the class-independent ``schema``, ``stage_inputs`` and ``pass_through``. +The resolver looks the table up only by the class of a graph node, so an edit +about other classes cannot change how that graph resolves and leaves the +version alone. A class the table does not list at all passes text through +(#381); that rule lives in code, so ``INSPECTION_RESOLVER_VERSION`` moves for it. +``pass_through.skip_inputs`` names the core type inputs (model, clip, image, +...) such a node's text is never read through. """ import hashlib @@ -86,7 +90,7 @@ _CATEGORIES = frozenset( + _CLASS_CATEGORIES + _SLOT_CATEGORIES + _SET_CATEGORIES - + ("lineage", "stage_inputs", "facts") + + ("lineage", "stage_inputs", "pass_through", "facts") ) # Input names that make an unlisted node a possible sampler stage in an ancestry # walk (``shaped``: pipes, video embeds and custom-sampler parts carry a prompt @@ -95,6 +99,10 @@ _CATEGORIES = frozenset( # ``model`` alone (ModelSampling*) or with ``clip`` (LoraLoader) is a model patch. # The resolver and comfy-metadata.js both read these lists. _STAGE_INPUT_LISTS = ("shaped", "with_model") +# Inputs of core ComfyUI types (model, clip, image, ...) that an unknown node's +# output is never read through when the resolver passes text through it (#381): +# a loader's lora tag reached through ``clip`` is not the prompt. +_PASS_THROUGH_KEYS = ("skip_inputs",) _STRING_PARAMS = MappingProxyType( { "literal": frozenset(), @@ -127,6 +135,7 @@ class Semantics: non_file_outputs: FrozenSet[str] lineage: Mapping[Tuple[str, int], Mapping[str, Any]] stage_inputs: Mapping[str, Tuple[str, ...]] + pass_through: Mapping[str, Tuple[str, ...]] facts: Mapping[str, Any] all_classes: FrozenSet[str] # SHA-256 of the canonical table JSON (set by ``load_semantics``). @@ -447,6 +456,19 @@ def _stage_inputs(doc: dict) -> Mapping[str, Tuple[str, ...]]: return _freeze(table) +def _pass_through(doc: dict) -> Mapping[str, Tuple[str, ...]]: + table = doc["pass_through"] + if not isinstance(table, dict) or set(table) != set(_PASS_THROUGH_KEYS): + raise SemanticsError( + f"pass_through must have exactly {list(_PASS_THROUGH_KEYS)}" + ) + _names(table["skip_inputs"], "pass_through.skip_inputs") + for name in ("text", "positive", "negative", "conditioning"): + if name in table["skip_inputs"]: + raise SemanticsError(f"pass_through.skip_inputs: {name} carries text") + return _freeze(table) + + def _facts(doc: dict) -> Mapping[str, Any]: facts = doc["facts"] if not isinstance(facts, dict) or set(facts) != set(_FACTS_TABLES): @@ -506,6 +528,7 @@ def _validate(doc: Any) -> Semantics: return Semantics( lineage=_lineage(doc), stage_inputs=_stage_inputs(doc), + pass_through=_pass_through(doc), facts=_facts(doc), all_classes=owners.classes(), **tables, @@ -542,7 +565,7 @@ def load_semantics(path: Optional[Union[str, Path]] = None) -> Semantics: # Table parts that hold no class names: they apply to every graph. -_CLASS_INDEPENDENT = frozenset({"schema", "stage_inputs"}) +_CLASS_INDEPENDENT = frozenset({"schema", "stage_inputs", "pass_through"}) def _canonical_json(doc: Any) -> str: diff --git a/utils/logging_config.py b/utils/logging_config.py index bb147a2e..97a37639 100644 --- a/utils/logging_config.py +++ b/utils/logging_config.py @@ -10,9 +10,12 @@ This module provides centralized logging configuration with support for: """ import collections +import fnmatch import logging import logging.handlers import os +import re +import stat import threading from datetime import datetime from typing import Dict, Any, Optional, List @@ -20,6 +23,160 @@ from pathlib import Path from . import library_location +ACTIVE_LOG_NAME = "prompt_manager.log" +# Rule R (#329): a rotated copy is prompt_manager.log., n >= 1, no leading 0. +_ROTATED_NAME = re.compile(r"prompt_manager\.log\.([1-9][0-9]*)") +# The legacy listing's pattern (GET /logs/files and /logs/stats). +_LISTED_PATTERN = "*.log*" +LOG_FILE_KINDS = ("active", "rotated", "link", "other") + + +class RotatedChanged(Exception): + """A reviewed rotated copy changed since the review; nothing was deleted.""" + + def __init__(self, name): + super().__init__(f"{name} changed since the review") + self.name = name + + +def _name_key(name: str) -> str: + """How a name compares: case-folded where the filesystem folds it (Windows).""" + return os.path.normcase(name) + + +def _rotated_number(name: str) -> Optional[int]: + match = _ROTATED_NAME.fullmatch(_name_key(name)) + return int(match.group(1)) if match else None + + +# Windows reparse tags with the name-surrogate bit name another file or +# folder (symlinks, junctions, WSL symlinks); cloud placeholders do not. +_NAME_SURROGATE = 0x20000000 + + +def _is_link(path: str, st: os.stat_result) -> bool: + if getattr(st, "st_reparse_tag", 0) & _NAME_SURROGATE: + return True + return stat.S_ISLNK(st.st_mode) or os.path.isjunction(path) + + +class LogFilePath(type(Path())): + """A listed log file's path, with the inode it had when it was listed.""" + + listed_ino = 0 + + +def _kind(name: str, path: str, st: os.stat_result) -> str: + """Rule R: ``active``, ``rotated``, ``link`` or ``other`` (never deleted).""" + if _is_link(path, st): + return "link" + if not stat.S_ISREG(st.st_mode): + return "other" + if _name_key(name) == _name_key(ACTIVE_LOG_NAME): + return "active" + if _rotated_number(name) is not None: + return "rotated" + return "other" + + +def scan_log_folder(log_dir) -> List[Dict[str, Any]]: + """Every direct entry of ``log_dir`` with its Rule R kind (blocking). + + Rows are ``{name, kind, size, mtime_ns, ino, modified}``, read with + ``lstat`` so a link is described, never followed. An entry that cannot + be read is left out. Never logs: the cleanup calls it while it holds the + file handler's lock. + """ + rows = [] + try: + names = [entry.name for entry in os.scandir(log_dir)] + except OSError: + return rows + for name in names: + path = os.path.join(log_dir, name) + try: + st = os.lstat(path) + kind = _kind(name, path, st) + except OSError: + continue + try: + modified = datetime.fromtimestamp(st.st_mtime).isoformat() + except (OSError, OverflowError, ValueError): # a time before 1970 on Windows + modified = "" + rows.append( + { + "name": name, + "kind": kind, + "size": st.st_size, + "mtime_ns": st.st_mtime_ns, + "ino": st.st_ino, + "modified": modified, + "_dir": stat.S_ISDIR(st.st_mode) and kind != "link", + "_regular": stat.S_ISREG(st.st_mode) and kind != "link", + } + ) + return rows + + +def public_row(row: Dict[str, Any]) -> Dict[str, Any]: + """A scan row without its private keys.""" + return {key: value for key, value in row.items() if not key.startswith("_")} + + +def rotated_sort_key(row: Dict[str, Any]) -> int: + return _rotated_number(row["name"]) or 0 + + +def log_file_entry(log_dir, name) -> Path: + """The path of a downloadable log file named ``name`` (blocking). + + Only a regular, non-link file listed directly in ``log_dir`` under that + exact name; a separator, ``..``, a stream suffix or any unlisted name + raises FileNotFoundError, as a missing file does. + """ + if not isinstance(name, str) or not name or name in (".", ".."): + raise FileNotFoundError("Log file not found") + if any(ch in name for ch in ("/", "\\", "\x00", ":")): + raise FileNotFoundError("Log file not found") + for row in scan_log_folder(log_dir): + if row["name"] == name and row["kind"] in ("active", "rotated", "other"): + if not row["_regular"]: # a folder, FIFO, socket or device + break + entry = LogFilePath(log_dir, row["name"]) + entry.listed_ino = row["ino"] + return entry + raise FileNotFoundError("Log file not found") + + +def _stream_is(stream, ino: int) -> bool: + """Whether ``stream`` is open on the file with inode ``ino`` (0: unknown).""" + try: + open_ino = os.fstat(stream.fileno()).st_ino + except (OSError, ValueError, AttributeError): + return False + return not (ino and open_ino and open_ino != ino) + + +def _error_text(error: BaseException) -> str: + """An OSError's reason and file name, without the folder it is in.""" + if isinstance(error, OSError): + parts = [error.strerror or type(error).__name__] + if error.filename: + parts.append(os.path.basename(str(error.filename))) + return ": ".join(parts) + return str(error) or type(error).__name__ + + +def _matches_review(row: Optional[Dict[str, Any]], reviewed: Dict[str, Any]) -> bool: + if row is None or row["kind"] != "rotated": + return False + if row["size"] != reviewed.get("size") or row["mtime_ns"] != reviewed.get( + "mtime_ns" + ): + return False + ino = reviewed.get("ino") or 0 + return not (ino and row["ino"] and row["ino"] != ino) + class _OwnedRotatingFileHandler(logging.handlers.RotatingFileHandler): """Keep a retired owned sink closed when an in-flight record resumes.""" @@ -87,6 +244,9 @@ class PromptManagerLogger: # Memory buffer for recent logs (for web viewer) self._log_buffer = collections.deque(maxlen=self.config["buffer_size"]) self._buffer_lock = threading.Lock() + # Held while a handler is replaced or log files are deleted (#329): + # taken before any file handler's own lock, never the other way round. + self._files_lock = threading.Lock() # Initialize loggers self._setup_loggers() @@ -238,6 +398,14 @@ class PromptManagerLogger: # Return most recent first return list(reversed(logs[-limit:])) + def scan_log_folder(self) -> List[Dict[str, Any]]: + """Every entry of the log folder with its Rule R kind (blocking).""" + return [public_row(row) for row in scan_log_folder(self.log_dir)] + + def log_file_entry(self, name: str) -> Path: + """A downloadable (regular, non-link) log file; FileNotFoundError else.""" + return log_file_entry(self.log_dir, name) + def get_log_files(self) -> List[Dict[str, Any]]: """Get information about available log files. @@ -245,26 +413,27 @@ class PromptManagerLogger: List of dictionaries containing file information: - filename: Name of the log file - path: Full path to the log file - - size: File size in bytes + - size: File size in bytes (a link's own size: links are not followed) - modified: ISO formatted modification timestamp - is_main: True if this is the main log file + - kind: ``active``, ``rotated``, ``link`` or ``other`` (Rule R) """ log_files = [] - - for log_file in self.log_dir.glob("*.log*"): - try: - stat = log_file.stat() - log_files.append( - { - "filename": log_file.name, - "path": str(log_file), - "size": stat.st_size, - "modified": datetime.fromtimestamp(stat.st_mtime).isoformat(), - "is_main": log_file.name == "prompt_manager.log", - } - ) - except Exception as e: - self.logger.error(f"Error getting info for log file {log_file}: {e}") + for row in scan_log_folder(self.log_dir): + if row["_dir"]: + continue + if not fnmatch.fnmatchcase(_name_key(row["name"]), _LISTED_PATTERN): + continue + log_files.append( + { + "filename": row["name"], + "path": str(self.log_dir / row["name"]), + "size": row["size"], + "modified": row["modified"], + "is_main": row["kind"] == "active", + "kind": row["kind"], + } + ) # Sort by modification time, newest first log_files.sort(key=lambda x: x["modified"], reverse=True) @@ -302,14 +471,44 @@ class PromptManagerLogger: self.logger.error(f"Error reading log file {filename}: {e}") raise - def _truncate_main_log(self, log_file: Path) -> None: + def _file_handlers(self) -> List[logging.Handler]: + return [h for h in self.logger.handlers if isinstance(h, logging.FileHandler)] + + def _acquire_file_handlers(self) -> List[logging.Handler]: + """Take every file handler's lock: no rollover renames a file meanwhile. + + The caller holds ``_files_lock`` (so no handler is replaced) and must + not log until it released them: the lock is re-entrant, so a record + logged here could roll the log over under the caller's feet. + """ + held = [] + try: + for handler in self._file_handlers(): + handler.acquire() + held.append(handler) + except BaseException: + self._release_handlers(held) + raise + return held + + @staticmethod + def _release_handlers(held) -> None: + for handler in reversed(held): + handler.release() + + def _truncate_main_log(self, log_file: Path, expected_ino: int = 0) -> None: """Empty the main log through the handler that writes to it. Opening the file a second time with ``"w"`` leaves the handler's own stream at its old offset: later records land past the new end (zero-padded on POSIX) and ``tell()`` keeps reporting the old size, so the next record rolls the file over. Truncating the handler's stream - keeps position and size in step. + keeps position and size in step. Without a handler on it (file logging + off) the existing file is emptied in place, never through a link. + + A handler whose open stream is not the listed file (``expected_ino``: + the user renamed the log, which the handler still writes to) is left + alone: the file under the active name is emptied instead. """ handled = False target = os.path.normcase(os.path.realpath(str(log_file))) @@ -320,6 +519,8 @@ class PromptManagerLogger: continue if os.path.normcase(os.path.realpath(base)) != target: continue + if not _stream_is(stream, expected_ino): + continue handler.acquire() try: stream.flush() @@ -329,14 +530,65 @@ class PromptManagerLogger: finally: handler.release() if not handled: - with open(log_file, "w", encoding="utf-8", errors="replace") as f: - f.write("") + flags = os.O_WRONLY | os.O_TRUNC | getattr(os, "O_NOFOLLOW", 0) + os.close(os.open(str(log_file), flags)) + + def delete_rotated(self, expected: List[Dict[str, Any]]) -> Dict[str, Any]: + """Delete exactly the reviewed rotated copies, or none of them (blocking). + + ``expected`` are scan rows (``name``, ``size``, ``mtime_ns``, + ``ino``). Under ``_files_lock`` and every file handler's lock the + folder is scanned again; when any expected file is missing, is no + longer a rotated copy (Rule R) or differs in size, ``mtime_ns`` or a + non-zero ``ino``, RotatedChanged is raised with nothing deleted. + Otherwise each is unlinked in ```` order. + + Returns ``{"removed": [names], "failed": [(name, OSError)]}``. One + summary line is logged once both locks are released. + """ + removed, failed = [], [] + changed = None + with self._files_lock: + held = self._acquire_file_handlers() + try: + current = { + _name_key(row["name"]): row for row in scan_log_folder(self.log_dir) + } + targets = [] + for reviewed in sorted(expected, key=rotated_sort_key): + row = current.get(_name_key(str(reviewed.get("name", "")))) + if not _matches_review(row, reviewed): + changed = str(reviewed.get("name", "")) + break + targets.append(row["name"]) + if changed is None: + for name in targets: + try: + os.unlink(os.path.join(self.log_dir, name)) + removed.append(name) + except OSError as error: + failed.append((name, error)) + finally: + self._release_handlers(held) + if changed is not None: + self.logger.warning( + "Rotated log cleanup refused: %s changed since the review", changed + ) + raise RotatedChanged(changed) + self.logger.info( + "Deleted %d rotated log copies%s", + len(removed), + f", {len(failed)} could not be deleted" if failed else "", + ) + return {"removed": removed, "failed": failed} def truncate_logs(self) -> Dict[str, Any]: - """Truncate all log files. + """Empty the active log and delete its rotated copies (Rule R). - Clears the main log file and deletes rotated log files. - Also clears the memory buffer. + Every other file in the log folder, and every link, is kept. Also + clears the memory buffer. Runs under ``_files_lock`` and the file + handlers' locks, so no rollover recreates a just-deleted copy, and + logs only once they are released. Returns: Dictionary with: @@ -345,28 +597,31 @@ class PromptManagerLogger: """ results = {"truncated": [], "errors": []} - # Collect first and stay silent until every file has been handled: - # a log line written mid-way can roll the just-emptied main log over - # and recreate the backup that was deleted a moment earlier. - log_files = sorted(self.log_dir.glob("prompt_manager.log*")) - for log_file in log_files: + with self._files_lock: + held = self._acquire_file_handlers() try: - if log_file.name == "prompt_manager.log": - self._truncate_main_log(log_file) - else: - # For rotated files, delete them - log_file.unlink() - - results["truncated"].append(log_file.name) - - except Exception as e: - results["errors"].append( - f"Failed to truncate {log_file.name}: {str(e)}" + rows = scan_log_folder(self.log_dir) + active = [row for row in rows if row["kind"] == "active"] + rotated = sorted( + (row for row in rows if row["kind"] == "rotated"), + key=rotated_sort_key, ) - - # Clear memory buffer - with self._buffer_lock: - self._log_buffer.clear() + for row in active + rotated: + path = os.path.join(self.log_dir, row["name"]) + try: + if row["kind"] == "active": + self._truncate_main_log(Path(path), row["ino"]) + else: + os.unlink(path) + results["truncated"].append(row["name"]) + except OSError as error: + results["errors"].append( + f"Failed to truncate {row['name']}: {_error_text(error)}" + ) + with self._buffer_lock: + self._log_buffer.clear() + finally: + self._release_handlers(held) if results["truncated"]: self.logger.info("Truncated log files: %s", ", ".join(results["truncated"])) @@ -409,7 +664,9 @@ class PromptManagerLogger: "backup_count", ] ): - self._setup_loggers() + # No cleanup may hold the old handler while it is replaced. + with self._files_lock: + self._setup_loggers() self.logger.info(f"Updated logging configuration: {new_config}") @@ -440,7 +697,9 @@ class PromptManagerLogger: level = entry["level"] level_counts[level] = level_counts.get(level, 0) + 1 - log_files = self.get_log_files() + # A link's target is not a log file of this folder: neither counted + # nor sized. + log_files = [f for f in self.get_log_files() if f["kind"] != "link"] total_log_size = sum(f["size"] for f in log_files) return { diff --git a/utils/prompt_inspector.py b/utils/prompt_inspector.py index e7ab375e..0307b5ca 100644 --- a/utils/prompt_inspector.py +++ b/utils/prompt_inspector.py @@ -534,6 +534,7 @@ def inspect_prompt_evidence( saved: dict | None = None, *, profile: ResolverProfile = INSPECTION_PROFILE, + file_name: str | None = None, ) -> dict: """Keep uncertainty visible; a saved association never replaces file evidence. @@ -597,7 +598,7 @@ def inspect_prompt_evidence( if workflow is not None and "prompt" in canonical: # Only to recognize overwritten PromptManager text (R1); never a role. canonical["workflow"] = workflow - resolved = resolve_prompt_pair(canonical, profile=profile) + resolved = resolve_prompt_pair(canonical, profile=profile, file_name=file_name) state = resolved["state"] result = {} for role in ("positive", "negative"): diff --git a/utils/prompt_pair_resolver.py b/utils/prompt_pair_resolver.py index 6eb10be7..b45c948c 100644 --- a/utils/prompt_pair_resolver.py +++ b/utils/prompt_pair_resolver.py @@ -6,7 +6,9 @@ contains effective ``text``, deduplicated-recipe ``storage_text`` and ``provenance``; ComfyUI provenance records the exact output slot and complete followed link path. States distinguish a resolved pair (an explicit empty negative is valid), absent data, unsupported/unresolved data and -ambiguous sampler selection. Unknown conditioning semantics are never flattened. +ambiguous sampler selection. Listed composites are never flattened; in the +inspection profile, nodes the semantics table does not name pass their text +through (#381, ``_GraphResolver.passed``). Future nodes can register declarative ``OutputAdapter`` entries by ``(class_type, output_slot)``. This does not prescribe a future paired-node schema. @@ -48,7 +50,9 @@ RESOLVER_VERSION = 1 # review items recorded from that profile (with the profile's budgets and # the semantics table). Bump it when a change would make the inspection # profile resolve the same metadata otherwise, even if ingestion is unchanged. -INSPECTION_RESOLVER_VERSION = 1 +# 2: unknown nodes pass through generically (#381); unknown classes are not in +# the table's class projection, so only this number can move those items. +INSPECTION_RESOLVER_VERSION = 2 @dataclass(frozen=True) @@ -113,6 +117,15 @@ _HISTORICAL_ADAPTERS = { for _name in ("PromptManagerPositive", "PromptManagerDetailer"): _HISTORICAL_ADAPTERS[(_name, 0)] = _COMMA _HISTORICAL_ADAPTERS[(_name, 1)] = replace(_COMMA, kind="string") +# This repository's own node classes, current and historical: their text is the +# prompt whatever unknown nodes sit between them and the sampler (#381). +_OWN_CLASSES = frozenset( + name + for name, _ in list(_DEFAULT_ADAPTERS) + list(_HISTORICAL_ADAPTERS) + if name.startswith("PromptManager") +) +# Nodes with these exact names are traced by code, not by the table. +_CODED_CLASSES = frozenset({"Reroute", "StringConcatenate", "Text Concatenate"}) @dataclass(frozen=True) @@ -197,6 +210,17 @@ _ZEROED_SOURCE = "zeroed-conditioning" _MAX_BRANCH_CANDIDATES = 32 # Statically undecidable text (a search, a list output): never pick an item. _RUNTIME_REASON = "Text is decided at run time" +# Different texts reach one sampler through unknown nodes (#381): one candidate +# per text, never a refusal. +SEVERAL_SOURCES_REASON = "Several prompts reach the sampler" +SELECTOR_BRANCHES_REASON = "Selector branches have different prompts" +# Failures that bound the work: never skipped by a pass-through walk. +_LIMIT_CODES = frozenset({"work-limit", "depth-limit", "text-limit"}) +_PASSED_UNVERIFIABLE = "Text passed through an unknown node is not verifiable" +# Inputs that make an unknown node a conditioning transform, not a generator. +_CONDITIONING_INPUTS = ("conditioning", "positive", "negative") +# The first item of a pass-through divergence's 3-tuple choice key. +_PASS_THROUGH = "pass-through" # Uncoded outcomes the inspector explains by their exact reason. EMPTY_POSITIVE_REASON = "Positive prompt is empty" # Several sampler branches, every one resolved to the same pair (#249). @@ -241,17 +265,23 @@ class _Unresolved(Exception): class _Diverging(Exception): - """A runtime selector whose branches trace to different texts. + """A runtime choice whose options trace to different texts. Raised from inside tracing; ``_GraphResolver.branches`` resolves the sampler - again once per choice, so each candidate is internally consistent. + again once per choice, so each candidate is internally consistent. A + selector's choices are ``(True, False)``; an unknown node passing several + texts through (#381) has one choice per distinct text, ``0..n-1``. """ - def __init__(self, key: Tuple[str, int]) -> None: + def __init__(self, key: tuple, choices: tuple, sources: bool = False) -> None: super().__init__(key) - # The condition output (node ID, slot): one runtime value, so every - # selector it drives is forced together. + # A selector's condition output (node ID, slot): one runtime value, so + # every selector it drives is forced together. A pass-through key is + # ``(_PASS_THROUGH, node ID, slot)``. self.key = key + self.choices = choices + # Raised by an unknown node passing several texts (the outcome's reason). + self.sources = sources def _node_ref(node_id: str, class_type: Any) -> dict: @@ -447,6 +477,8 @@ class _GraphResolver: self.latent_charged: set = set() # ``semantics`` (inspection) names the samplers and guiders it follows. self.semantics = semantics + # Nesting depth of execution-record checks (``passed``). + self.verifying = 0 if semantics is None: self.sampler_classes = self.stage_classes = _SAMPLERS else: @@ -457,6 +489,19 @@ class _GraphResolver: ) # Any listed sampler upstream in latent ancestry is an earlier stage. self.stage_classes = frozenset(semantics.samplers) + # Classes the resolver knows something about: an unlisted output of + # one stays ``unsupported-node``; any other class passes through. + facts = semantics.facts + self.described = ( + semantics.all_classes + | {name for name, _ in semantics.lineage} + | {name for name, _ in self.adapters} + | _CODED_CLASSES + | frozenset(facts["configuration_outputs"]) + | frozenset(facts["model_outputs"]) + | frozenset(facts["model_passthroughs"]) + | frozenset(facts["scalar_outputs"]) + ) def node(self, node_id: str) -> Tuple[str, dict]: if self.legacy: @@ -557,7 +602,9 @@ class _GraphResolver: self.inherit_source(node_id, slot, [path]) elif (name, slot) in self.adapters: adapter = self.adapters[(name, slot)] - if not isinstance(adapter, OutputAdapter) or adapter.kind != kind: + if not isinstance(adapter, OutputAdapter) or ( + kind != "any" and adapter.kind != kind + ): raise _Unresolved(_INCOMPATIBLE_SLOT, "malformed") evidence = ( self.execution_record(node_id, inputs) @@ -613,7 +660,7 @@ class _GraphResolver: elif ( name in ("StringConcatenate", "Text Concatenate") and slot == 0 - and kind == "string" + and kind in ("string", "any") ): if name == "StringConcatenate": keys = ["string_a", "string_b"] @@ -652,6 +699,10 @@ class _GraphResolver: text, path, storage_text = self.semantic( node_id, name, slot, kind, inputs, depth ) + elif self.semantics is not None and name not in self.described: + text, path, storage_text = self.passed( + node_id, slot, kind, inputs, depth + ) else: raise self.unsupported( "Unsupported node semantics or output slot", node_id @@ -747,7 +798,7 @@ class _GraphResolver: return True if slot == 0 and name in semantics.selectors: return True - return kind == "conditioning" and ( + return kind in ("conditioning", "any") and ( (name, slot) in semantics.conditioning or (slot == 0 and name in semantics.composites) ) @@ -769,11 +820,13 @@ class _GraphResolver: ): listed = table.get((name, slot)) if listed is not None: - if kind != expected: + if kind not in (expected, "any"): raise _Unresolved(_INCOMPATIBLE_SLOT, "malformed") return build(node_id, listed, inputs, depth) entry = ( - semantics.conditioning.get((name, slot)) if kind == "conditioning" else None + semantics.conditioning.get((name, slot)) + if kind in ("conditioning", "any") + else None ) if entry is not None and entry["strategy"] == "zeroed": # The upstream text is discarded, so it is not traced. @@ -825,9 +878,120 @@ class _GraphResolver: for label in ("true", "false") ] if parts[0][0] != parts[1][0]: - raise _Diverging((str(condition[0]), condition[1])) + raise _Diverging((str(condition[0]), condition[1]), (True, False)) return self.merged(node_id, 0, parts) + def passed( + self, node_id: str, slot: int, kind: str, inputs: dict, depth: int + ) -> Tuple[str, list, str]: + """``read_through``, except while checking an execution record. + + A pair node's recorded text is what ran. While its inputs are checked + against the record (``execution_record``), any outcome of a walk through + an unknown node but running out of visits only means "cannot be read + statically" (``unsupported-node``, unverifiable), as before #381. + """ + if not self.verifying: + return self.read_through(node_id, slot, kind, inputs, depth) + try: + return self.read_through(node_id, slot, kind, inputs, depth) + except _Diverging: + raise self.unsupported(_PASSED_UNVERIFIABLE, node_id) from None + except _Unresolved as error: + if error.code == "work-limit": + raise + raise self.unsupported(_PASSED_UNVERIFIABLE, node_id) from None + + def read_through( + self, node_id: str, slot: int, kind: str, inputs: dict, depth: int + ) -> Tuple[str, list, str]: + """An output no rule describes passes its text through (#381). + + A string output (kind ``string``) of a node with a seed input + (``seed``, ``noise_seed``, ``sampling_mode.seed``) and no linked + conditioning input is generated at run time (a language model, a + wildcard or random line): ``runtime-value``, never its inputs. With a + linked conditioning input it is a conditioning transform (noise). A + ``text`` input is the text (the legacy encoder rule). Otherwise the + followed inputs (``pass_inputs``) are traced with kind ``any``: an + unknown node may turn a string into conditioning. A followed input that + finds no text (``unsupported-node``) adds nothing; limits and runtime + choices propagate; any other failure blocks, unless a PromptManager + node was reached: this repository's own nodes are authoritative, so + only their texts count then. One distinct text is the result; several + are a runtime choice with one candidate per text, in input order. + """ + if ( + kind == "string" + and any(name.endswith("seed") for name in inputs) + and not any(_link(inputs.get(name)) for name in _CONDITIONING_INPUTS) + ): + raise self.named(_RUNTIME_REASON, "runtime-value", node_id) + if "text" in inputs: + traced = self.text(inputs["text"], "string", depth + 1) + self.inherit_source(node_id, slot, [traced[1]]) + return traced + found: list = [] + blocking: Optional[_Unresolved] = None + for value in self.pass_inputs(slot, inputs): + try: + found.append(self.text(value, "any", depth + 1)) + except _Unresolved as error: + if error.code in _LIMIT_CODES: + raise + if error.code != "unsupported-node" and blocking is None: + blocking = error + owned = [traced for traced in found if self.owned(traced[1])] + if owned: + found = owned + elif blocking is not None: + raise blocking + if not found: + raise self.unsupported("Unsupported node semantics or output slot", node_id) + texts = list(dict.fromkeys(traced[0] for traced in found)) + if len(texts) == 1: + return self.merged(node_id, slot, found) + if len(texts) > _MAX_BRANCH_CANDIDATES: + raise _Unresolved("Too many selector branches", "work-limit") + key = (_PASS_THROUGH, node_id, slot) + if key not in self.choices: + raise _Diverging(key, tuple(range(len(texts))), sources=True) + self.tainted = True + chosen = texts[self.choices[key]] + return self.merged(node_id, slot, [t for t in found if t[0] == chosen]) + + def pass_inputs(self, slot: int, inputs: dict) -> list: + """The linked inputs an unknown node's output is read through. + + Output slot 0 of a node with a ``positive`` or ``negative`` input reads + only ``positive`` (slot 1, ``negative``), nothing when that one is not + linked: the paired-conditioning convention, which the legacy parser + followed by role. A linked ``conditioning`` is read alone (the + legacy order). Otherwise every linked input but the core type inputs + (``pass_through.skip_inputs``: model, clip, image, ...) is read. + """ + if slot in (0, 1) and ("positive" in inputs or "negative" in inputs): + value = inputs.get(("positive", "negative")[slot]) + return [value] if _link(value) else [] + if _link(inputs.get("conditioning")): + return [inputs["conditioning"]] + skipped = self.semantics.pass_through["skip_inputs"] + return [ + value + for name, value in inputs.items() + if _link(value) and name not in skipped + ] + + def through_unknown(self, path: list) -> bool: + """Whether a followed path passes through a node no rule describes.""" + self.scan(len(path)) + return any(self.node(step["node_id"])[0] not in self.described for step in path) + + def owned(self, path: list) -> bool: + """Whether a followed path passes through one of this repository's nodes.""" + self.scan(len(path)) + return any(self.node(step["node_id"])[0] in _OWN_CLASSES for step in path) + def merged(self, node_id: str, slot: int, parts: list) -> Tuple[str, list, str]: """One text reached through several followed paths (deduplicated).""" text, merged, storage_text = self.joined_paths(parts, parts) @@ -1021,8 +1185,9 @@ class _GraphResolver: if record is None: return None for name in ("text", "negative_text", "prepend_text", "append_text"): + self.verifying += 1 try: - expected = self.text(inputs.get(name, ""), "string")[0] + expected, followed, _ = self.text(inputs.get(name, ""), "string") except _Unresolved as error: if self.unverifiable(error): value = inputs.get(name) @@ -1043,6 +1208,11 @@ class _GraphResolver: raise continue raise + finally: + self.verifying -= 1 + if self.semantics is not None and self.through_unknown(followed): + # A text passed through an unknown node may be transformed there. + continue if name in ("prepend_text", "append_text"): expected = expected.strip() if expected != record[name]: @@ -1362,6 +1532,121 @@ class _GraphResolver: _link(inputs.get(key)) for key in stage_inputs["with_model"] ) + def same_conditioning(self, first: str, second: str) -> bool: + """Whether two listed samplers read the very same conditioning links. + + Compared by the sampler table's conditioning inputs (positive and + negative, or a custom sampler's guider): each a link, equal by node ID + text and slot. Then their prompt is one, whatever their stage order. + """ + keys = [] + for node_id in (first, second): + name, inputs = self.node(node_id) + conditioning = self.semantics.samplers[name]["conditioning"] + values = [] + for role in sorted(conditioning): + value = inputs.get(conditioning[role]) + if not _link(value): + return False + values.append((role, str(value[0]), str(value[1]))) + keys.append(tuple(values)) + return keys[0] == keys[1] + + def alone(self, node_id: str) -> bool: + """Whether a sampler's prompt is its own links' text alone. + + True when it sets no prompt override and its latent ancestry reaches no + listed sampler (a plain first stage). Any failure but running out of + visits is ``False``; the walk never recurses into another stage. + """ + name, inputs = self.node(node_id) + entry = self.semantics.samplers[name] + if entry["strategy"] == _DETAILER: + return False + if any( + inputs.get(override) not in (None, "") + for override in entry.get("prompt_overrides", ()) + ): + return False + value = inputs.get(entry.get("latent")) if entry.get("latent") else None + if value is None: + return True + if not _link(value): + return False + queue, queued = self.walk_from(value) + try: + while queue: + current, depth = queue.popleft() + if current == node_id or depth >= self.max_depth: + return False + self.budget.spend() + name, inputs = self.node(current) + if name in self.stage_classes or self.stage_shaped(name, inputs): + return False + self.enqueue(queue, queued, inputs, depth + 1) + except _Unresolved as error: + if error.code == "work-limit": + raise + return False + return True + + def saver_stages(self, file_name: Any) -> Optional[list]: + """The candidate samplers of the one saver that wrote ``file_name``. + + A saver is any node with a ``filename_prefix`` (literal, or traced as a + string) whose last path part makes the file's stem + ``_`` with an optional trailing ``_`` (ComfyUI's and + VideoHelperSuite's counters). Exactly one saver must match; its + linked inputs are walked like a detailer's image ancestry. No match, + several, an unreadable walk or no candidate sampler is ``None``: the + file is then judged unanchored, never guessed (#381). + """ + stem = _file_stem(file_name) + if stem is None: + return None + self.budget.reset(self.per_candidate_visits) + try: + matches = [ + node_id + for node_id, node in self.graph.items() + if self.writes(node, stem) + ] + if len(matches) != 1: + return None + _, inputs = self.node(matches[0]) + values = [ + value + for name, value in inputs.items() + if name != "filename_prefix" and _link(value) + ] + found = self.stages_from(matches[0], values) + except (_Unresolved, _Diverging): + return None + candidates = [ + node_id + for node_id in found + if self.graph[node_id]["class_type"] in self.sampler_classes + ] + return candidates or None + + def writes(self, node: Any, stem: str) -> bool: + """Whether a node's ``filename_prefix`` names the file ``stem``.""" + if not isinstance(node, dict) or not isinstance(node.get("inputs"), dict): + return False + prefix = node["inputs"].get("filename_prefix") + if _link(prefix): + try: + prefix = self.text(prefix, "string")[0] + except _Diverging: + return False + except _Unresolved as error: + if error.code == "work-limit": + raise # an unfinished scan anchors nothing (never a guess) + return False + if not isinstance(prefix, str): + return False + return _counter_of(prefix.replace("\\", "/").split("/")[-1], stem) + def upstream_stages(self, origin: str, value: Any) -> list: """Samplers reached from a detailer's image input, in breadth-first order. @@ -1370,8 +1655,18 @@ class _GraphResolver: """ if not _link(value): raise _Unresolved("Expected an image link", "malformed") + return self.stages_from(origin, [value]) + + def stages_from(self, origin: str, values: list) -> list: + """``upstream_stages`` from several start links, queued in order once.""" found: list = [] - queue, queued = self.walk_from(value) + queue: deque = deque() + queued: set = set() + for value in values: + start = str(value[0]) + if start not in queued: + queued.add(start) + queue.append((start, 0)) while queue: node_id, depth = queue.popleft() if node_id == origin: @@ -1563,17 +1858,20 @@ class _GraphResolver: """ pending: list = [{}] results: list = [] + several = False try: while pending: self.choices = pending.pop(0) try: results.append(self.stage(sampler_id, frozenset())) except _Diverging as diverging: - if len(results) + len(pending) + 2 > _MAX_BRANCH_CANDIDATES: + count = len(diverging.choices) + if len(results) + len(pending) + count > _MAX_BRANCH_CANDIDATES: raise _Unresolved("Too many selector branches", "work-limit") + several = several or diverging.sources pending.extend( {**self.choices, diverging.key: choice} - for choice in (True, False) + for choice in diverging.choices ) except _Unresolved as error: return _result( @@ -1587,12 +1885,18 @@ class _GraphResolver: self.choices = {} if all(item["state"] == "unresolved" for item in results): return results[0] + if several: + # Chained unknown nodes can offer one text twice: list it once. + unique: dict = {} + for item in results: + unique.setdefault(_outcome_key(item), item) + results = list(unique.values()) if len({_outcome_key(item) for item in results}) == 1: return results[0] return _result( "ambiguous", sampler_id=sampler_id, - reason="Selector branches have different prompts", + reason=SEVERAL_SOURCES_REASON if several else SELECTOR_BRANCHES_REASON, candidates=results, ) @@ -1750,6 +2054,10 @@ class _GraphResolver: if not traced: lineage, traced = self.lineage_predecessor(value), True if node_id != lineage: + if self.same_conditioning(origin, node_id) and self.alone(node_id): + # Same positive and negative links: the same prompt + # whichever stage this is (#381). + continue # Not the one continued stage: no stage's prompt is chosen. raise _Unresolved(MULTISTAGE_UNATTRIBUTED_REASON) earlier = node_id @@ -1883,6 +2191,26 @@ def _parameters(value: Any, max_text_length: int, inspection: bool = False) -> d return _result("resolved", positive_side, negative_side) +def _file_stem(file_name: Any) -> Optional[str]: + """A file name's last path part without its extension, or ``None``.""" + if not isinstance(file_name, str) or not file_name: + return None + base = file_name.replace("\\", "/").split("/")[-1] + dot = base.rfind(".") + stem = base[:dot] if dot > 0 else base + return stem or None + + +def _counter_of(prefix: str, stem: str) -> bool: + """Whether ``stem`` is ``prefix`` + ``_`` + ASCII digits [+ ``_``].""" + if not prefix or not stem.startswith(prefix + "_"): + return False + rest = stem[len(prefix) + 1 :] + if rest.endswith("_"): + rest = rest[:-1] + return rest != "" and all("0" <= char <= "9" for char in rest) + + def _profile_with( profile: ResolverProfile, max_visits: Optional[int], @@ -1927,6 +2255,7 @@ def resolve_prompt_pair( max_visits: Optional[int] = None, max_depth: Optional[int] = None, max_text_length: Optional[int] = None, + file_name: Optional[str] = None, ) -> Dict[str, Any]: """Resolve parsed metadata; a present API graph is authoritative over text. @@ -1937,9 +2266,11 @@ def resolve_prompt_pair( ``sampler_id`` (the inspection profile first drops stages that only reach previews). ``profile`` selects the bounds; explicit ``max_*`` keywords override it. + ``file_name`` (inspection only, unanchored) anchors on the one saver that + wrote that file (``_GraphResolver.saver_stages``) when exactly one matches. """ profile = _profile_with(profile, max_visits, max_depth, max_text_length) - result = _resolve(metadata, output_node_id, adapters, profile) + result = _resolve(metadata, output_node_id, adapters, profile, file_name) return _legacy_result(result) if profile.legacy else result @@ -1992,6 +2323,7 @@ def _resolve( output_node_id: Optional[str], adapters: Optional[Mapping[Tuple[str, int], OutputAdapter]], profile: ResolverProfile, + file_name: Optional[str] = None, ) -> Dict[str, Any]: if not isinstance(metadata, dict) or not metadata: return _result("absent", reason="No parsed prompt metadata") @@ -2047,14 +2379,19 @@ def _resolve( "unresolved", reason=str(error), reason_code=error.code, node=error.node ) else: - sampler_ids = [ + anchored = ( + resolver.saver_stages(file_name) + if semantics is not None and file_name is not None + else None + ) + sampler_ids = anchored or [ node_id for node_id, node in normalized.items() if isinstance(node, dict) and isinstance(node.get("class_type"), str) and node["class_type"] in resolver.sampler_classes ] - if semantics is not None: + if semantics is not None and anchored is None: sampler_ids = resolver.final_stages(sampler_ids) if not sampler_ids: return _no_sampler(normalized, profile) diff --git a/utils/version.py b/utils/version.py new file mode 100644 index 00000000..d78c9447 --- /dev/null +++ b/utils/version.py @@ -0,0 +1,18 @@ +"""The project version, read from ``pyproject.toml`` (#329).""" + +import re +from pathlib import Path + + +def project_version(root): + """The version in ``root``'s ``pyproject.toml``; ``"unknown"`` on failure.""" + try: + pyproject_path = Path(root) / "pyproject.toml" + if pyproject_path.exists(): + content = pyproject_path.read_text() + match = re.search(r'version\s*=\s*["\']([^"\']+)["\']', content) + if match: + return match.group(1) + except Exception: # nosec B110 - an unreadable file reads as unknown + pass + return "unknown" diff --git a/web/js/inspection-semantics.json b/web/js/inspection-semantics.json index b08e7197..c0f5e10b 100644 --- a/web/js/inspection-semantics.json +++ b/web/js/inspection-semantics.json @@ -246,6 +246,29 @@ ], "with_model": ["conditioning", "neg_conditioning", "samples", "latent"] }, + "pass_through": { + "skip_inputs": [ + "model", + "clip", + "vae", + "clip_vision", + "clip_vision_output", + "control_net", + "style_model", + "upscale_model", + "image", + "images", + "pixels", + "mask", + "latent", + "latent_image", + "samples", + "noise", + "sampler", + "sigmas", + "guider" + ] + }, "facts": { "configuration_outputs": { "RandomNoise": { "kind": "noise", "fields": ["noise_seed"] }, diff --git a/web/js/workspace/local-inspection.mjs b/web/js/workspace/local-inspection.mjs index e68889b6..63c59d65 100644 --- a/web/js/workspace/local-inspection.mjs +++ b/web/js/workspace/local-inspection.mjs @@ -106,9 +106,9 @@ export function toInspectionRead(classification, result) { const dimension = value => Number.isSafeInteger(value) && value > 0 ? value : null; /** The roles for one local read (`{prompts, resolution}`): the bounded parse and resolution step of buildLocalPayload. */ -export function localEvidence(read, classification, semantics = null) { +export function localEvidence(read, classification, semantics = null, fileName = null) { const inspection = toInspectionRead(classificationOf(classification), read); - return inspection.read === null ? unreadableEvidence() : resolveLocalEvidence(inspection.read.records, semantics); + return inspection.read === null ? unreadableEvidence() : resolveLocalEvidence(inspection.read.records, semantics, fileName); } /** @@ -117,7 +117,7 @@ export function localEvidence(read, classification, semantics = null) { * "unavailable" as the server does), so the legacy fill in projectInspectionPayload applies exactly where it does * for Images. */ -export function buildLocalPayload({ read, file, classification, semantics = null, evidence = localEvidence(read, classification, semantics) }) { +export function buildLocalPayload({ read, file, classification, semantics = null, evidence = localEvidence(read, classification, semantics, file?.name ?? null) }) { const classified = classificationOf(classification); const inspection = toInspectionRead(classified, read); const filename = sanitizeLocalFilename(file?.name); @@ -211,7 +211,7 @@ export const localFileAdapter = Object.freeze({ } const semantics = await untilAborted(loadInspectionSemantics(), signal); await yieldControl(signal); - const evidence = localEvidence(result, secret.classification, semantics); + const evidence = localEvidence(result, secret.classification, semantics, secret.filename); await yieldControl(signal); const file = { name: secret.filename, size: secret.file.size, lastModified: secret.file.lastModified }; const payload = buildLocalPayload({ read: result, file, classification: secret.classification, semantics, evidence }); diff --git a/web/js/workspace/local-resolver-stages.mjs b/web/js/workspace/local-resolver-stages.mjs index a6a9691a..7818f9a0 100644 --- a/web/js/workspace/local-resolver-stages.mjs +++ b/web/js/workspace/local-resolver-stages.mjs @@ -129,7 +129,16 @@ function compositeOf(resolver, value) { /** `upstream_stages`: samplers reached from a detailer's image input, breadth first; each node draws a visit. */ function upstreamStages(resolver, origin, value) { if (!isLink(value)) throw new Unresolved('Expected an image link', 'malformed'); - const found = [], start = String(value[0]), queue = [[start, 0]], queued = new Set([start]); + return stagesFrom(resolver, origin, [value]); +} + +/** `stages_from`: `upstream_stages` from several start links, queued in order once. */ +export function stagesFrom(resolver, origin, values) { + const found = [], queue = [], queued = new Set(); + for (const value of values) { + const start = String(value[0]); + if (!queued.has(start)) { queued.add(start); queue.push([start, 0]); } + } for (let head = 0; head < queue.length; head++) { const [nodeId, depth] = queue[head]; if (nodeId === origin) throw new Unresolved('Cyclic sampler stage ancestry', 'malformed'); @@ -296,6 +305,49 @@ function lineagePredecessor(resolver, value) { } /** `latent_stages`: the one earlier sampler a latent continues, null for a single stage; else unattributed. */ +/** `same_conditioning`: whether two listed samplers read the very same conditioning links. */ +function sameConditioning(resolver, first, second) { + const keys = []; + for (const nodeId of [first, second]) { + const [name, inputs] = resolver.node(nodeId); + const conditioning = resolver.semantics.samplers.get(name).conditioning; + const values = []; + for (const role of Object.keys(conditioning).sort()) { + const value = pyGet(inputs, conditioning[role]); + if (!isLink(value)) return false; + values.push([role, String(value[0]), String(value[1])]); + } + keys.push(JSON.stringify(values)); + } + return keys[0] === keys[1]; +} + +/** `alone`: no prompt override set and no listed sampler in its latent ancestry (a plain first stage). */ +function alone(resolver, nodeId) { + let [name, inputs] = resolver.node(nodeId); + const entry = resolver.semantics.samplers.get(name); + if (entry.strategy === DETAILER) return false; + if ((entry.prompt_overrides ?? []).some(override => { const value = pyGet(inputs, override); return value !== null && value !== undefined && value !== ''; })) return false; + const value = entry.latent ? pyGet(inputs, entry.latent) : null; + if (value === null || value === undefined) return true; + if (!isLink(value)) return false; + const start = String(value[0]), queue = [[start, 0]], queued = new Set([start]); + try { + for (let head = 0; head < queue.length; head++) { + const [current, depth] = queue[head]; + if (current === nodeId || depth >= resolver.maxDepth) return false; + resolver.budget.spend(); + [name, inputs] = resolver.node(current); + if (resolver.stageClasses.has(name) || resolver.stageShaped(name, inputs)) return false; + resolver.enqueue(queue, queued, inputs, depth + 1); + } + } catch (error) { + if (!(error instanceof Unresolved) || error.code === 'work-limit') throw error; + return false; + } + return true; +} + export function latentStages(resolver, origin, value) { if (!isLink(value)) throw new Unresolved('Unknown latent ancestry', 'malformed'); const start = String(value[0]), queue = [[start, 0]], queued = new Set([start]); @@ -308,7 +360,11 @@ export function latentStages(resolver, origin, value) { const [name, inputs] = resolver.node(nodeId); if (resolver.stageClasses.has(name)) { if (!traced) { lineage = lineagePredecessor(resolver, value); traced = true; } - if (nodeId !== lineage) throw new Unresolved(MULTISTAGE_UNATTRIBUTED_REASON); + if (nodeId !== lineage) { + // Same positive and negative links: the same prompt whichever stage this is (#381). + if (sameConditioning(resolver, origin, nodeId) && alone(resolver, nodeId)) continue; + throw new Unresolved(MULTISTAGE_UNATTRIBUTED_REASON); + } earlier = nodeId; continue; } diff --git a/web/js/workspace/local-resolver-support.mjs b/web/js/workspace/local-resolver-support.mjs index 2cc3aa6b..7e062cdb 100644 --- a/web/js/workspace/local-resolver-support.mjs +++ b/web/js/workspace/local-resolver-support.mjs @@ -29,6 +29,15 @@ export const ZEROED_SOURCE = 'zeroed-conditioning'; export const MAX_BRANCH_CANDIDATES = 32; export const RUNTIME_REASON = 'Text is decided at run time'; export const EMPTY_POSITIVE_REASON = 'Positive prompt is empty'; +// #381: different texts reach one sampler through unknown nodes (one candidate each). +export const SEVERAL_SOURCES_REASON = 'Several prompts reach the sampler'; +export const SELECTOR_BRANCHES_REASON = 'Selector branches have different prompts'; +// Failures that bound the work: never skipped by a pass-through walk (`_LIMIT_CODES`). +export const PASS_LIMIT_CODES = new Set(['work-limit', 'depth-limit', 'text-limit']); +export const PASS_THROUGH = 'pass-through'; +export const PASSED_UNVERIFIABLE = 'Text passed through an unknown node is not verifiable'; +// Classes traced by code, not by the table (`_CODED_CLASSES`). +export const CODED_CLASSES = ['Reroute', 'StringConcatenate', 'Text Concatenate']; export const IDENTICAL_BRANCHES_REASON = 'Every sampler branch uses the same prompt pair'; export const MULTISTAGE_UNATTRIBUTED_REASON = 'Multistage sampler ancestry is ambiguous'; export const ADDED_CONDITIONING_REASON = 'A later stage adds conditioning to the base prompt'; @@ -96,6 +105,8 @@ const historical = [ ]; for (const name of ['PromptManagerPositive', 'PromptManagerDetailer']) historical.push([name, 0, 'text', 'conditioning', COMMA], [name, 1, 'text', 'string', COMMA]); for (const [name, slot, input, kind, options] of historical) ADAPTERS.set(slotKey(name, slot), adapter(input, kind, options)); +// This repository's own classes (`_OWN_CLASSES`): authoritative through unknown nodes (#381). +export const OWN_CLASSES = new Set([...ADAPTERS.keys()].map(key => key.split('\u0000')[0]).filter(name => name.startsWith('PromptManager'))); // `known_slots` in execution_record: every adapter slot per class. export const ADAPTER_SLOTS = new Map(); for (const key of ADAPTERS.keys()) { @@ -112,9 +123,13 @@ export class Unresolved extends Error { } } export class Diverging extends Error { - constructor(key) { + /** A selector's choices are [true, false]; an unknown node's are 0..n-1, one per distinct text (#381). */ + constructor(key, choices, sources = false) { super('diverging'); this.key = key; + this.choices = choices; + // Raised by an unknown node passing several texts (the outcome's reason). + this.sources = sources; } } @@ -247,9 +262,22 @@ export function compileSemantics(doc) { } const stageInputs = doc.stage_inputs; if (!plain(stageInputs) || !Array.isArray(stageInputs.shaped) || !Array.isArray(stageInputs.with_model)) fail('stage_inputs'); + // #381: core type inputs an unknown node's text is never read through. + const passThrough = doc.pass_through; + if (!plain(passThrough) || Object.keys(passThrough).length !== 1 || !Array.isArray(passThrough.skip_inputs) || + !passThrough.skip_inputs.length || passThrough.skip_inputs.some(name => typeof name !== 'string' || !name) || + new Set(passThrough.skip_inputs).size !== passThrough.skip_inputs.length || + ['text', 'positive', 'negative', 'conditioning'].some(name => passThrough.skip_inputs.includes(name))) fail('pass_through'); + // Classes the facts tables describe (loaders, model patches, configuration and scalar outputs). + const facts = doc.facts; + if (!plain(facts) || !plain(facts.configuration_outputs) || !plain(facts.model_outputs) || !Array.isArray(facts.model_passthroughs) || + !plain(facts.scalar_outputs)) fail('facts'); + const factClasses = new Set([...Object.keys(facts.configuration_outputs), ...Object.keys(facts.model_outputs), ...facts.model_passthroughs, + ...Object.keys(facts.scalar_outputs)]); return Object.freeze({ samplers, guiders, selectors, composites, savers, conditioning, encoders, strings, runtime, nonFileOutputs, lineage, stageInputs: { shaped: [...stageInputs.shaped], withModel: [...stageInputs.with_model] }, allClasses: new Set(owners.keys()), + skipInputs: new Set(passThrough.skip_inputs), factClasses, }); } diff --git a/web/js/workspace/local-resolver.mjs b/web/js/workspace/local-resolver.mjs index 1367fa66..b246adaa 100644 --- a/web/js/workspace/local-resolver.mjs +++ b/web/js/workspace/local-resolver.mjs @@ -23,7 +23,14 @@ import { MAX_JOIN_INPUTS, MAX_SUBGRAPH_DEPTH, MAX_WORKFLOW_NODES, + CODED_CLASSES, NO_SAMPLER_NAMES, + OWN_CLASSES, + PASS_LIMIT_CODES, + PASS_THROUGH, + SELECTOR_BRANCHES_REASON, + SEVERAL_SOURCES_REASON, + PASSED_UNVERIFIABLE, OVERWRITTEN_PROMPT_REASON, PROFILE, ROLE_METADATA_KEYS, @@ -45,7 +52,7 @@ import { sideOf, slotKey, } from './local-resolver-support.mjs'; -import { finalStages, latentStages, outcomeKey, promptPart, sharedPair, stage } from './local-resolver-stages.mjs'; +import { finalStages, latentStages, outcomeKey, promptPart, sharedPair, stage, stagesFrom } from './local-resolver-stages.mjs'; import { parameters } from './local-parameters.mjs'; export { SemanticsError, compileSemantics, readPairExecution, outcomeMessage, isLink } from './local-resolver-support.mjs'; @@ -76,8 +83,13 @@ class GraphResolver { this.latentWalks = new Map(); this.latentCharged = new Set(); this.semantics = semantics; + // Nesting depth of execution-record checks (`passed`). + this.verifying = 0; this.samplerClasses = new Set([...semantics.samplers].filter(([, entry]) => CANDIDATE_STRATEGIES.has(entry.strategy)).map(([name]) => name)); this.stageClasses = new Set(semantics.samplers.keys()); + // `described`: an unlisted output of one of these stays `unsupported-node`; any other class passes through (#381). + this.described = new Set([...semantics.allClasses, ...[...semantics.lineage.keys()].map(key => key.split('\u0000')[0]), + ...[...ADAPTERS.keys()].map(key => key.split('\u0000')[0]), ...CODED_CLASSES, ...semantics.factClasses]); } node(nodeId) { @@ -156,7 +168,7 @@ class GraphResolver { [text, path, storageText] = this.text(inputs.get(keys[0]), kind, depth + 1); this.inheritSource(nodeId, slot, [path]); } else if (adapted) { - if (adapted.kind !== kind) throw new Unresolved(INCOMPATIBLE_SLOT, 'malformed'); + if (kind !== 'any' && adapted.kind !== kind) throw new Unresolved(INCOMPATIBLE_SLOT, 'malformed'); const evidence = name === 'PromptManagerPair' ? this.executionRecord(nodeId, inputs) : null; if (evidence !== null) { text = evidence[adapted.inputName === 'text' ? 'positive_text' : 'negative_effective_text']; @@ -178,11 +190,13 @@ class GraphResolver { if (omitted.length) this.omitting.add(slotKey(nodeId, slot)); } } - } else if ((name === 'StringConcatenate' || name === 'Text Concatenate') && slot === 0 && kind === 'string') { + } else if ((name === 'StringConcatenate' || name === 'Text Concatenate') && slot === 0 && (kind === 'string' || kind === 'any')) { [text, path] = this.concatenate(name, inputs, depth); storageText = text; } else if (this.follows(name, slot, kind)) { [text, path, storageText] = this.semantic(nodeId, name, slot, kind, inputs, depth); + } else if (!this.described.has(name)) { + [text, path, storageText] = this.passed(nodeId, slot, kind, inputs, depth); } else { throw this.unsupported('Unsupported node semantics or output slot', nodeId); } @@ -258,7 +272,7 @@ class GraphResolver { if (semantics.runtime.has(name)) return true; if (semantics.encoders.has(key) || semantics.strings.has(key)) return true; if (slot === 0 && semantics.selectors.has(name)) return true; - return kind === 'conditioning' && (semantics.conditioning.has(key) || (slot === 0 && semantics.composites.has(name))); + return (kind === 'conditioning' || kind === 'any') && (semantics.conditioning.has(key) || (slot === 0 && semantics.composites.has(name))); } semantic(nodeId, name, slot, kind, inputs, depth) { @@ -267,11 +281,11 @@ class GraphResolver { for (const [table, expected, build] of [[semantics.encoders, 'conditioning', 'encoded'], [semantics.strings, 'string', 'stringed']]) { const listed = table.get(key); if (listed !== undefined) { - if (kind !== expected) throw new Unresolved(INCOMPATIBLE_SLOT, 'malformed'); + if (kind !== expected && kind !== 'any') throw new Unresolved(INCOMPATIBLE_SLOT, 'malformed'); return this[build](nodeId, listed, inputs, depth); } } - const entry = kind === 'conditioning' ? semantics.conditioning.get(key) : undefined; + const entry = kind === 'conditioning' || kind === 'any' ? semantics.conditioning.get(key) : undefined; if (entry !== undefined && entry.strategy === 'zeroed') { this.textSources.set(slotKey(nodeId, slot), ZEROED_SOURCE); return ['', [], '']; @@ -302,10 +316,114 @@ class GraphResolver { return traced; } const parts = ['true', 'false'].map(label => this.text(pyGet(inputs, branches[label]), kind, depth + 1)); - if (parts[0][0] !== parts[1][0]) throw new Diverging(slotKey(String(condition[0]), condition[1])); + if (parts[0][0] !== parts[1][0]) throw new Diverging(slotKey(String(condition[0]), condition[1]), [true, false]); return this.merged(nodeId, 0, parts); } + /** `passed`: `readThrough`, except that while an execution record is checked any outcome but `work-limit` is unverifiable. */ + passed(nodeId, slot, kind, inputs, depth) { + if (!this.verifying) return this.readThrough(nodeId, slot, kind, inputs, depth); + try { + return this.readThrough(nodeId, slot, kind, inputs, depth); + } catch (error) { + if (error instanceof Unresolved && error.code === 'work-limit') throw error; + if (error instanceof Unresolved || error instanceof Diverging) throw this.unsupported(PASSED_UNVERIFIABLE, nodeId); + throw error; + } + } + + /** `read_through` (#381): an output no rule describes passes its text through; PromptManager nodes are authoritative. */ + readThrough(nodeId, slot, kind, inputs, depth) { + // A string output of a node with a seed input is generated at run time (a language model, a wildcard). + // With a linked conditioning input it is a conditioning transform (noise) instead. + if (kind === 'string' && [...inputs.keys()].some(name => name.endsWith('seed')) && + !['conditioning', 'positive', 'negative'].some(name => isLink(pyGet(inputs, name)))) throw this.named(RUNTIME_REASON, 'runtime-value', nodeId); + if (inputs.has('text')) { + const traced = this.text(inputs.get('text'), 'string', depth + 1); + this.inheritSource(nodeId, slot, [traced[1]]); + return traced; + } + let found = [], blocking = null; + for (const value of this.passInputs(slot, inputs)) { + try { + found.push(this.text(value, 'any', depth + 1)); + } catch (error) { + if (!(error instanceof Unresolved) || PASS_LIMIT_CODES.has(error.code)) throw error; + if (error.code !== 'unsupported-node' && blocking === null) blocking = error; + } + } + const owned = found.filter(traced => this.owned(traced[1])); + if (owned.length) found = owned; + else if (blocking !== null) throw blocking; + if (!found.length) throw this.unsupported('Unsupported node semantics or output slot', nodeId); + const texts = [...new Set(found.map(traced => traced[0]))]; + if (texts.length === 1) return this.merged(nodeId, slot, found); + if (texts.length > MAX_BRANCH_CANDIDATES) throw new Unresolved('Too many selector branches', 'work-limit'); + // JSON escapes U+0000, so this never equals a selector's raw `slotKey` (Python: a 3-tuple vs a 2-tuple). + const key = JSON.stringify([PASS_THROUGH, nodeId, slot]); + if (!this.choices.has(key)) throw new Diverging(key, texts.map((_, index) => index), true); + this.tainted = true; + const chosen = texts[this.choices.get(key)]; + return this.merged(nodeId, slot, found.filter(traced => traced[0] === chosen)); + } + + /** `pass_inputs`: the role input by output slot, else `conditioning`, else every linked non-type input. */ + passInputs(slot, inputs) { + if ((slot === 0 || slot === 1) && (inputs.has('positive') || inputs.has('negative'))) { + const value = pyGet(inputs, slot === 0 ? 'positive' : 'negative'); + return isLink(value) ? [value] : []; + } + if (isLink(pyGet(inputs, 'conditioning'))) return [inputs.get('conditioning')]; + return [...inputs].filter(([name, value]) => isLink(value) && !this.semantics.skipInputs.has(name)).map(([, value]) => value); + } + + /** `saver_stages` (#381): the candidate samplers of the one saver whose prefix names the file, or null (never guessed). */ + saverStages(fileName) { + const stem = fileStem(fileName); + if (stem === null) return null; + this.budget.reset(this.perCandidateVisits); + let found; + try { + const matches = [...this.graph].filter(([, node]) => this.writes(node, stem)).map(([id]) => id); + if (matches.length !== 1) return null; + const [, inputs] = this.node(matches[0]); + const values = [...inputs].filter(([name, value]) => name !== 'filename_prefix' && isLink(value)).map(([, value]) => value); + found = stagesFrom(this, matches[0], values); + } catch (error) { + if (error instanceof Unresolved || error instanceof Diverging) return null; + throw error; + } + const candidates = found.filter(id => this.samplerClasses.has(this.graph.get(id).get('class_type'))); + return candidates.length ? candidates : null; + } + + /** `writes`: whether a node's `filename_prefix` (literal or traced) names the file `stem`. */ + writes(node, stem) { + if (!isDict(node) || !isDict(pyGet(node, 'inputs'))) return false; + let prefix = pyGet(node.get('inputs'), 'filename_prefix'); + if (isLink(prefix)) { + try { prefix = this.text(prefix, 'string')[0]; } catch (error) { + // An unfinished scan anchors nothing (never a guess): work-limit ends the match scan. + if (error instanceof Diverging || (error instanceof Unresolved && error.code !== 'work-limit')) return false; + throw error; + } + } + if (typeof prefix !== 'string') return false; + return counterOf(prefix.replaceAll('\\', '/').split('/').at(-1), stem); + } + + /** `through_unknown`: whether a followed path passes through a node no rule describes. */ + throughUnknown(path) { + this.scan(path.length); + return path.some(step => !this.described.has(this.node(step.node_id)[0])); + } + + /** `owned`: whether a followed path passes through one of this repository's nodes. */ + owned(path) { + this.scan(path.length); + return path.some(step => OWN_CLASSES.has(this.node(step.node_id)[0])); + } + merged(nodeId, slot, parts) { const traced = this.joinedPaths(parts, parts); this.inheritSource(nodeId, slot, parts.map(part => part[1])); @@ -421,9 +539,10 @@ class GraphResolver { const record = readPairExecution(this.metadata, nodeId); if (record === null) return null; for (const name of ['text', 'negative_text', 'prepend_text', 'append_text']) { - let expected; + let expected, followed; + this.verifying += 1; try { - expected = this.text(pyGet(inputs, name, ''), 'string')[0]; + [expected, followed] = this.text(pyGet(inputs, name, ''), 'string'); } catch (error) { if (error instanceof Unresolved && this.unverifiable(error)) { const value = pyGet(inputs, name); @@ -436,7 +555,11 @@ class GraphResolver { continue; } throw error; + } finally { + this.verifying -= 1; } + // A text passed through an unknown node may be transformed there. + if (this.throughUnknown(followed)) continue; if (name === 'prepend_text' || name === 'append_text') expected = pyStrip(expected); if (expected !== record[name]) throw new Unresolved('Execution evidence does not match recorded node inputs', 'malformed'); } @@ -491,7 +614,8 @@ class GraphResolver { } branches(samplerId) { - const pending = [new Map()], results = []; + const pending = [new Map()]; + let results = [], several = false; try { while (pending.length) { this.choices = pending.shift(); @@ -499,8 +623,9 @@ class GraphResolver { results.push(stage(this, samplerId, new Set())); } catch (error) { if (!(error instanceof Diverging)) throw error; - if (results.length + pending.length + 2 > MAX_BRANCH_CANDIDATES) throw new Unresolved('Too many selector branches', 'work-limit'); - for (const choice of [true, false]) pending.push(new Map([...this.choices, [error.key, choice]])); + if (results.length + pending.length + error.choices.length > MAX_BRANCH_CANDIDATES) throw new Unresolved('Too many selector branches', 'work-limit'); + several = several || error.sources; + for (const choice of error.choices) pending.push(new Map([...this.choices, [error.key, choice]])); } } } catch (error) { @@ -510,8 +635,14 @@ class GraphResolver { this.choices = new Map(); } if (results.every(item => item.state === 'unresolved')) return results[0]; + if (several) { + // Chained unknown nodes can offer one text twice: list it once. + const unique = new Map(); + for (const item of results) if (!unique.has(outcomeKey(item))) unique.set(outcomeKey(item), item); + results = [...unique.values()]; + } if (new Set(results.map(outcomeKey)).size === 1) return results[0]; - return result('ambiguous', { samplerId, reason: 'Selector branches have different prompts', candidates: results }); + return result('ambiguous', { samplerId, reason: several ? SEVERAL_SOURCES_REASON : SELECTOR_BRANCHES_REASON, candidates: results }); } sides(samplerId) { @@ -673,8 +804,25 @@ function overwrittenPromptNodes(workflow, graph) { return found; } -/** `_resolve` for an unanchored inspection (output_node_id None). */ -function resolve(metadata, semantics) { +/** `_file_stem`: a file name's last path part without its extension, or null. */ +function fileStem(fileName) { + if (typeof fileName !== 'string' || !fileName) return null; + const base = fileName.replaceAll('\\', '/').split('/').at(-1); + const dot = base.lastIndexOf('.'); + const stem = dot > 0 ? base.slice(0, dot) : base; + return stem || null; +} + +/** `_counter_of`: whether `stem` is `prefix` + `_` + ASCII digits [+ `_`]. */ +function counterOf(prefix, stem) { + if (!prefix || !stem.startsWith(`${prefix}_`)) return false; + let rest = stem.slice(prefix.length + 1); + if (rest.endsWith('_')) rest = rest.slice(0, -1); + return rest !== '' && /^[0-9]+$/.test(rest); +} + +/** `_resolve` for an unanchored inspection (output_node_id None); `fileName` anchors on its saver (#381). */ +function resolve(metadata, semantics, fileName = null) { if (!isDict(metadata) || !metadata.size) return result('absent', { reason: 'No parsed prompt metadata' }); let graph; if (metadata.has('prompt')) graph = metadata.get('prompt'); @@ -688,7 +836,8 @@ function resolve(metadata, semantics) { overwritten = overwrittenPromptNodes(pyGet(metadata, 'workflow'), graph); } const resolver = new GraphResolver(graph, metadata.has('prompt') ? metadata : null, semantics, overwritten); - const samplerIds = finalStages(resolver, [...graph].filter(([, node]) => isDict(node) && typeof pyGet(node, 'class_type') === 'string' && + const anchored = fileName === null ? null : resolver.saverStages(fileName); + const samplerIds = anchored ?? finalStages(resolver, [...graph].filter(([, node]) => isDict(node) && typeof pyGet(node, 'class_type') === 'string' && resolver.samplerClasses.has(node.get('class_type'))).map(([id]) => id)); if (!samplerIds.length) return noSampler(graph); if (samplerIds.length > 1) { @@ -734,7 +883,7 @@ export function unreadableEvidence() { * local read found (`{prompt, workflow, parameters, comfyassets_prompt_pairs}` texts). `semantics` is * `compileSemantics(...)`'s table, or null when it could not be loaded. */ -export function resolveLocalEvidence(records, semantics) { +export function resolveLocalEvidence(records, semantics, fileName = null) { const source = records !== null && typeof records === 'object' ? records : {}; const metadata = new Map(Object.entries(source).filter(([key]) => ROLE_METADATA_KEYS.has(key))); const malformedResolution = { state: 'unresolved', sampler_id: null, reason: MALFORMED_EVIDENCE_REASON, reason_code: 'malformed', node: null }; @@ -754,7 +903,7 @@ export function resolveLocalEvidence(records, semantics) { } const workflow = mayHoldPromptManager(metadata) ? parsedWorkflow(source.workflow ?? null) : null; if (workflow !== null && metadata.has('prompt')) metadata.set('workflow', workflow); - const resolved = resolve(metadata, semantics); + const resolved = resolve(metadata, semantics, fileName); const state = resolved.state, prompts = {}; for (const role of ['positive', 'negative']) { const side = resolved[role];