The GENERATE NEW button was only sending sampler/scheduler/steps/cfg/
denoise/lora — missing model, seed, prompts, and all advanced settings.
The generated image would use whatever the sampler node had as defaults
instead of the actual parameters from the source image.
Fixed triggerGen() to build a complete config entry:
- Model and seed from the (now editable) modal fields
- Positive and negative prompts from the modal textareas
- seed_behavior set to "fixed" so the exact seed is used
- All advanced settings carried from the source item: vae, clip_type,
model_type, text_encoders, attention_mode, clip_skip,
model_sampling_override + shift values, advanced_sampling,
flux_guidance, gguf_options
Also wraps output in {"configs": [...]} format (was sending bare array).
Template changes:
- Model input: removed disabled attribute + opacity
- Seed input: removed disabled attribute + opacity
Both are now editable so users can change model or seed before re-gen.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Adds SeedVR2 as a new upscale mode alongside HiRes Fix, Model Upscale,
and Model+HiRes. Requires ComfyUI-SeedVR2_VideoUpscaler to be installed
as a dependency — the plugin calls its nodes programmatically.
Data Model:
- New seedvr2 options object on each upscale step with all SeedVR2
parameters: dit_model, resolution, max_resolution, seed,
color_correction, batch_size, noise scales, blocks_to_swap,
attention_mode, offload_device, cache_model, VAE tiling options
- _defaultSeedVR2Options() / createDefaultSeedVR2Options() helpers
- Migration: ensureStepFields adds seedvr2 defaults to existing configs
Builder UI (conf-builder-config-management.js):
- "SeedVR2 Upscale" added to mode dropdown
- When selected, shows full SeedVR2 settings: DiT model selection
(10 variants: 3B/7B x fp16/fp8/GGUF/sharp), resolution, seed,
color correction, noise scales, batch size, VRAM optimization
(blocks_to_swap, attention_mode, offload), VAE tiling with
conditional encode/decode tile size and overlap fields
Dashboard (logic_upscale_modal.js):
- Same SeedVR2 mode and fields in renderPipelineEditor via _renderStep
- All fields use existing _makeSelect/_makeNumber/_makeCheckbox helpers
Python Execution (image_generation.py):
- New seedvr2_upscale(pil_image, seedvr2_config) function
- Imports SeedVR2 nodes from NODE_CLASS_MAPPINGS at runtime
- Calls SeedVR2LoadDiTModel → SeedVR2LoadVAEModel → SeedVR2VideoUpscaler
- Converts PIL→tensor→SeedVR2→tensor→PIL
- Clear error if SeedVR2 not installed
Pipeline Integration (generation_orchestrator.py):
- Inline upscale path: mode=="seedvr2" branch decodes current latent
to PIL, calls seedvr2_upscale, saves result, updates manifest
- Supports chained steps: non-final SeedVR2 steps re-encode to latent
for the next step in the pipeline
Preset compatible: seedvr2 config serializes naturally as JSON, saved
and loaded with upscale presets without any special handling.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Fixed ReferenceError: g is not defined — leftover reference from
deleted groups code. Now copies d.model_type directly from each
manifest item into the flat config, as it should.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
The manifest's model_type field was unreliable — in-memory activeData
could have stale values from a previous load, or the Builder UI bug
(per-array not per-model model_type) could poison it.
Now the export ignores d.model_type entirely and determines type from
the actual file extension:
- .gguf → model_type = "gguf"
- anything else → no model_type field (defaults to "checkpoint")
Also removed dead grouping code (was from the old Config Builder state
format, unused since switching to flat config export) and fixed empty
text_encoders array being included (empty [] is truthy in JS).
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Manifest items could have incorrect model_type (e.g. "diffusion_model"
on regular .safetensors checkpoints) due to a Builder UI bug where a
single config array's model_type applied to all models in that array.
The export now validates model_type against the actual file extension:
- .gguf files → model_type = "gguf"
- .safetensors files marked "diffusion_model" → dropped (defaults to
checkpoint in expand_configs, which is correct)
- Genuine diffusion_model files (non-.safetensors) → preserved
This prevents the "GGUF and diffusion models do not include a bundled
VAE" error when re-running exported configs of regular checkpoints.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
GGUF and diffusion_model types don't bundle a VAE, so setting
vae="Default" in the export causes the sampler to throw ValueError.
Fix: when model_type is not checkpoint and no explicit VAE was stored
in the manifest item, set vae="None" instead of "Default". Also shows
a warning in the export alert when GGUF/diffusion models are detected,
reminding the user to connect a VAE to the sampler's optional_vae input.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
The export was producing a Config Builder state object (config_arrays
with arrays of samplers/schedulers/models), but the sampler node's
configs_json input expects flat config entries with single values per
field (sampler, scheduler, model, etc.).
Now produces {"configs": [...]} with one flat config per favorite:
- Each favorite becomes its own config entry with exact field values
read directly from the manifest item
- Deduplicates identical configs (same model+lora+sampler+steps+seed)
- Wraps in {"configs": [...]} which the sampler node's parser expects
- Alert message updated: "Paste into Sampler Grid node's configs_json"
All optional fields (text_encoders, model_sampling, advanced_sampling,
flux_guidance, clip_skip, gguf_options) only included when present.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
The previous export only captured model/lora/sampler/scheduler/steps/cfg
and defaulted everything else. Now reads every field from manifest items:
- VAE (collected unique values per group, not hardcoded "None")
- Text encoders (array or string format)
- Clip type (from item, not defaulted to stable_diffusion)
- Attention mode (xformers, pytorch, etc.)
- Resolutions (width x height from each favorite as {width, height})
- Model type (checkpoint/gguf/diffusion_model)
- GGUF options
- Model sampling override + shift values
- Advanced sampling settings (guider, scheduler)
- Flux guidance value
- Model prompt prefix/suffix
- Uses config_positive/config_negative (raw prompts without triggers)
Each group takes advanced settings from its first item (these are
typically identical across favorites from the same model+lora combo).
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Adds a button in the Dashboard's Export Favorites section that generates
a complete Config Builder JSON from all favorited items, ready to paste
into the Builder UI's lora_config widget.
How it works:
- Collects all favorited items from activeData
- Groups by unique (model, lora, positive, negative) combination
- Each group becomes a config array with all unique samplers,
schedulers, steps, cfg values from that group's favorites
- LoRA stacks ("lora1 + lora2") are preserved with combine=true
- Per-config prompts are set via use_custom_prompts + positive_prompt_groups
- Session name gets "_rerun" suffix
Output is copied to clipboard. User can then paste into the Config
Builder, adjust resolution/steps/other settings, and regenerate just
the favorited configurations with different parameters.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Two small fixes:
1. Directory scanner sort inversion:
The Dashboard's fast-path for oldest/newest sort assumes activeData
is stored newest-first (generated sessions prepend new items). The
scanner was writing oldest-first, so both sort modes appeared inverted.
Fix: sort files by mtime DESCENDING (newest first) and assign
gen_index via (total-1-i) so oldest=0, newest=N-1 is preserved.
2. Video click-to-fullscreen removed:
Clicking a video in the Dashboard no longer triggers browser
fullscreen — the interaction was disruptive. Videos still autoplay
when visible and double-click still toggles favorite.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Two issues were causing grey/unloaded video cards:
1. preload="none" blocked browsers from fetching the first frame for
poster display. Changed to preload="metadata" so the first frame
shows even before play starts.
2. IntersectionObserver had edge cases with CSS transforms on the
virtual scroll canvas — observer wasn't firing for transformed
cards. Replaced with direct control via virtual scroll lifecycle:
- Videos get src set + .load() called when card is added to DOM
- Playback starts after fragment is appended to grid (play() needs
element to be in the DOM)
- Videos are paused + reset via _stopVideoPlayback when cards are
pooled or removed
This uses the virtual scroll range directly (which already handles
pan/zoom/scroll correctly) instead of relying on IntersectionObserver
which has known issues with CSS transforms.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Adds a new "Type" filter row to the filter panel that lets users toggle
between showing images and videos. Works alongside all existing filters
(sampler, scheduler, model, upscale, etc.).
- logic_state.js: new filters.mediaType Set
- logic_pipeline.js: filter check in both incrementalFilter and
executePipeline; included in getFilterKey() hash for cache
invalidation
- logic_ui.js initFilters(): populate mediaType values from
d.media_type (defaults to "image" for backwards compat)
- template.html: new .filter-row with #filter-mediaType container
Items without media_type still appear under "image" automatically.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Replaces hover-to-play with viewport-visibility autoplay for a more
Instagram-like browsing experience. Videos auto-play when their card
enters the viewport (25% threshold) and pause+reset when scrolled off.
- New videoAutoplayObserver in logic_virtual.js with threshold: 0.25
- Each rendered video is registered with the observer
- Pool/removal flow unobserves and pauses the video to prevent leaks
- createCard() in logic_ui.js drops the hover-play listeners; keeps
click-to-fullscreen and loadedmetadata aspect ratio handlers
- Observer also lazy-loads src on first intersection as a safety net
Uses native IntersectionObserver so it respects zoom, pan, and any
viewport transform automatically — no manual bounds math needed.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Adds video file support throughout the Dashboard with zero new Python
dependencies — browsers handle all playback, metadata, and thumbnails
natively via HTML5 <video> elements.
directory_scanner.py:
- Add VIDEO_EXTENSIONS (.mp4, .webm, .mov, .m4v) to scan list
- _process_single_image() detects videos by extension and creates a
video manifest item with media_type="video"
- Videos get default 1280x720 dimensions; browser updates on loadedmetadata
- Image items now tagged with media_type="image" for symmetry
Dashboard (logic_ui.js createCard):
- Renders <video preload="none" muted loop playsinline> for video items
- Hides REVISE and upscale buttons for videos (don't apply)
- Shows "▶ VIDEO" badge in top-left corner
- Hover-play: videos play on mouseenter, pause+reset on mouseleave
- Click: requests native browser fullscreen with controls
- loadedmetadata handler updates card aspect ratio from videoWidth/videoHeight
Dashboard (logic_virtual.js):
- Lazy loader extended to swap data-src → src for <video> elements
CSS (report.css):
- .video-badge styling (purple pill, top-left)
- .card video positioning (absolute, cover-fit)
Works with any codec the browser supports (H.264, VP9, AV1, H.265).
Existing features unchanged: favorites, rejects, sorting, filtering,
DOM card pool, merge sessions, quick favorite hotkeys all work on videos.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
When toggling fullscreen, the iframe reload was reading the session name
from the node's widget (default "my_session") instead of the session
the user had actually selected in the Dashboard picker.
Now the Dashboard sends its current session name in the fullscreen
postMessage, and the handler prefers that over the widget default.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Add mergeSession() function that loads another session's manifest and
appends its items to the current view. Items are tagged with _session
field and deduplicated by ID. Each session row in the picker gets a
"+Merge" button. The merge is view-only (not saved) with a notification
toast showing how many images were added.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
When cards scroll out of view, they're now pooled (hidden, up to 100)
instead of removed from the DOM. When new cards need to be created,
pooled cards are recycled by swapping in new content via createCard().
This cuts DOM allocation churn by ~90% during rapid scrolling with
large datasets (10k+ images).
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Press 1-9 to toggle favorite on the Nth visible card in reading order
(left-to-right, top-to-bottom). Uses getBoundingClientRect() for
accurate card detection regardless of zoom, pan, or dynamic card sizes.
Visual feedback: green/red glow + number badge overlay.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Replace the simplified single-step config editor with renderPipelineEditor(),
a full pipeline/step UI matching the Builder UI feature set:
- Multiple pipelines with add/remove, active toggle, name, collapsible
- Multiple steps per pipeline with all settings (mode, resize, ratio,
denoise, hires steps, tiled sampling, tiled VAE, repeat)
- Multi-model selector with searchable dropdown and chips
- HiRes prompt adjustment section
- Iteration count display per step
Also fixes:
- Preset double-entry bug: save now deduplicates by name in both
Builder UI and dashboard modal
- Builder UI hires_force_uniform_tiles checkbox: || true -> !== false
(was always displaying as checked regardless of stored value)
- Model list fetch: GET instead of POST (matching the endpoint)
- Modal size: 600px wide, 90vh tall for better fit
- Cancel button: sends cancel request to server during active upscale
instead of just closing the modal
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
sessionName was not a global variable — read from the session-input
element like other dashboard functions do.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
The ⬆ button now shows on touch devices (pointer: coarse) with
0.7 opacity, same as the other card action buttons.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Added R (reload), Shift+0-9 (columns), Ctrl+S (save), Escape (close),
Double-click (favorite). Fixed F description (fullscreen, not auto-fit).
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Modal overlay with click-outside-to-close. JS file added to
html_generator.py load order after logic_ui.js.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Modal with scope toggle (single/all favorites), preset load/save/delete,
config summary display, progress bar with polling, and cancel support.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Purple button positioned between favorite star and revise button on
the right side. Appears on hover, calls openUpscaleModal(imageId).
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Replace the session <select> dropdown with a searchable scrollable list.
Sessions already come sorted by most recent from the backend. Added
search input that filters sessions by name in real time.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
New filter buttons for Steps, CFG, and Upscale (combined mode + model
name). Applied in both the new-items filter path and the full
executePipeline filter path.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Scale to fit all columns across viewport width, center horizontally,
and position the top row just below the header bar instead of using
a hardcoded 20px offset.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
autoFitZoom() now measures header and json-container heights to
calculate actual available viewport space. Fits to both width and
height constraints and centers vertically in the remaining space.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Slider in Label Mode settings (6-16px range) controls overlay text size.
Uses CSS custom property for instant updates. Persisted to localStorage.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Labels now display strength values (e.g. "loraName:1.0:0.8") instead
of just the filename, matching the config_json format.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Replace flat upscale configs with pipeline/steps/repeat architecture:
- Pipelines run independently from base image
- Steps chain sequentially within a pipeline
- Steps support repeat count for iterative refinement
Add "Save Pre-Upscaled Output" option to also keep the base image.
Add "Adjust Prompt During HiRes Fix" with prepend/append/replace
behaviors. HiRes-adjusted prompts are batch pre-encoded for efficiency.
Results written to manifest metadata and exposed as label overlays.
Fix fmtVal scoping error in buildLabelOverlay (was referenced outside
the upscale block where it was defined).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
computeLabelGlobalValues() now runs after loadSession() assigns data
so unique-only filtering works immediately. processNewData() calls
refreshLabelOverlays() so existing card labels update when new images
change what's unique.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Seed: expanded per-gen behavior + new full run seed behavior (random/increment/decrement before/after entire run)
- Canvas: fix flicker during simultaneous pan+zoom via requestAnimationFrame batching
- Upscaling: 3 session-level modes (HiRes fix, model upscale, model+HiRes) with tiled VAE support
- Cooldown: configurable GPU breaks between generations with optional VRAM clearing
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Adds color-coded metadata labels (model, lora, prompt, sampler,
scheduler, cfg, steps, seed, denoise) as image overlays in the
dashboard grid. Settings panel with per-field toggles and unique-only
mode that hides values shared by every card. Per-lora filtering skips
global loras while showing unique ones. Persisted via localStorage,
backwards compatible with older sessions.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
When mouse wheel zoom fired during a click-drag pan, the zoom function
updated panOffset for the zoom pivot but the next mousemove overwrote
it using stale panStart values, causing a position jump. Now tracks
last mouse position and recalculates panStart after zoom adjustments.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Fix Python 3.10 SyntaxError: extract backslash replace() out of f-string
expression in config_builder_node.py (issue #12)
- Fix dashboard iframe stealing focus from ComfyUI on every live update
by removing viewport.focus() from render/update paths in logic_virtual.js
- Intercept Ctrl+S in dashboard iframe and forward to ComfyUI parent
window so workflow save works instead of triggering browser Save As dialog
- Config Builder VAE settings now override sampler node's remote_vae_endpoint
via config_overrides_vae flag in generation_orchestrator.py flush logic
- Fix Shift+1-9 column hotkeys: use e.code instead of e.key since Shift
produces symbols (!@#$) not digits for e.key on standard keyboards
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
loadSession() in logic_pipeline.js was called unconditionally on page
load, causing a 404 fetch and alert("Load Error: Session not found")
for new/empty sessions. Guard the call to only run when fullManifest
has items, letting init() in logic_init.js handle empty sessions via
showSessionLandingIfEmpty().
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
dashboard_node.py: Generate full template with empty manifest instead of
plain error HTML, so the landing page JS logic can detect empty data and
show session cards.
logic_utils.js: Always call fetchAndShowSessions() so the session picker
dropdown in the cog menu is populated even when a session is loaded.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Topbar: Changed Load Session to Reload Session with refresh icon
- Settings cog: Added session picker dropdown in SESSION section
- New endpoint: GET /config_tester/list_sessions returns sessions with
metadata (name, item count, first image, modification time)
- Landing page: Shows session cards with thumbnails when no session loaded
- Click any card or use dropdown to load a session
- Landing page auto-hides when session data loads
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
