From b68bf311a4b80e195c1c442ee613c41bc9b5c7e0 Mon Sep 17 00:00:00 2001 From: Dariusz L Date: Mon, 2 Nov 2026 22:59:15 +0100 Subject: [PATCH] feat: isolate multi-category transfer targets, add node locator, and expand image metadata formats --- core/services/image_metadata_service.py | 306 +- core/workflow/formats.py | 2 + metadata/huggingface-author-index.json | 7040 +++++++++-------- tests/test_image_metadata.py | 147 +- tests/test_image_metadata_transfer.mjs | 202 + tests/test_metadata_collapse.mjs | 64 +- web/css/resolver-main.css | 22 + web/resolver/utils/workflow_metadata.js | 4 + .../views/tabs_image_metadata_methods.js | 242 +- 9 files changed, 4466 insertions(+), 3563 deletions(-) diff --git a/core/services/image_metadata_service.py b/core/services/image_metadata_service.py index 3f6d23d..4ac5a5a 100644 --- a/core/services/image_metadata_service.py +++ b/core/services/image_metadata_service.py @@ -29,7 +29,7 @@ from ..workflow.formats import normalize_workflow_payload log = create_module_logger(__name__) -MAX_IMAGE_BYTES = 64 * 1024 * 1024 +MAX_IMAGE_BYTES = 256 * 1024 * 1024 MAX_WORKFLOW_JSON_BYTES = 16 * 1024 * 1024 MAX_PARAMETERS_LENGTH = 12_000 EXIF_IFD_TAG = 34665 @@ -78,15 +78,31 @@ def _metadata_json_value(value: Any) -> Any: if not isinstance(current, str): return current text = current.strip() + if not text: + return current + if text.startswith(";"): + lines = [ + line.strip() + for line in text.splitlines() + if line.strip() and not line.strip().startswith(";") + ] + text = "\n".join(lines).strip() if not text: return current if text[0] not in "[{\"": - prefix, separator, remainder = text.partition(":") + prefix, separator, remainder = "", "", "" + for candidate_sep in (":", "="): + p, s, r = text.partition(candidate_sep) + if s and (not separator or len(p) < len(prefix)): + prefix, separator, remainder = p, s, r if separator and prefix.strip().lower() in { "prompt", "workflow", "comfy", "comfyui", + "comment", + "description", + "usercomment", }: text = remainder.strip() else: @@ -96,7 +112,16 @@ def _metadata_json_value(value: Any) -> Any: try: parsed = json.loads(text) except (TypeError, ValueError, json.JSONDecodeError): - return current + unescaped = ( + text.replace(r"\=", "=") + .replace(r"\;", ";") + .replace(r"\#", "#") + .replace(r"\\", "\\") + ) + try: + parsed = json.loads(unescaped) + except (TypeError, ValueError, json.JSONDecodeError): + return current if not isinstance(parsed, str): return parsed current = parsed @@ -149,20 +174,20 @@ def _read_image_bytes(data_url: str) -> bytes: if encoded.startswith("data:"): header, separator, encoded = encoded.partition(",") if not separator or ";base64" not in header.lower(): - raise ValueError("Image payload must be a base64 data URL") + raise ValueError("Media payload must be a base64 data URL") encoded = "".join(encoded.split()) if not encoded: - raise ValueError("Image payload is empty") + raise ValueError("Media payload is empty") if len(encoded) > ((MAX_IMAGE_BYTES + 2) * 4 // 3) + 16: - raise ValueError("Image payload is too large") + raise ValueError("Media payload is too large") try: raw = base64.b64decode(encoded, validate=True) except (binascii.Error, ValueError) as exc: - raise ValueError("Image payload is not valid base64") from exc + raise ValueError("Media payload is not valid base64") from exc if not raw: - raise ValueError("Image payload is empty") + raise ValueError("Media payload is empty") if len(raw) > MAX_IMAGE_BYTES: - raise ValueError("Image payload is too large") + raise ValueError("Media payload is too large") return raw @@ -209,13 +234,18 @@ def _find_embedded_workflow(metadata: Mapping[str, Any]): "comfy", "extra_pnginfo", "extra_metadata", + "comment", + "description", + "usercomment", + "graph", ) candidates = [] seen = set() - for key in priority_keys: - if key in metadata: - candidates.append((key, metadata[key])) - seen.add(key) + for priority_key in priority_keys: + for key, value in metadata.items(): + if str(key).strip().lower() == priority_key and key not in seen: + candidates.append((key, value)) + seen.add(key) candidates.extend( (key, value) for key, value in metadata.items() @@ -228,7 +258,7 @@ def _find_embedded_workflow(metadata: Mapping[str, Any]): normalized, workflow_format = normalize_workflow_payload(candidate) except ValueError: continue - return normalized, workflow_format, key + return normalized, workflow_format, str(key) return None, None, "" @@ -575,13 +605,243 @@ def _metadata_summary( } +def _extract_raw_container_metadata(raw: bytes) -> dict[str, Any]: + """Scan container bytes for embedded ComfyUI workflow JSON payloads.""" + extracted: dict[str, Any] = {} + if not raw or len(raw) < 16: + return extracted + + # 1. Search for Matroska/WebM EBML COMMENT tag + if raw.startswith(b"\x1aE\xdf\xa3"): + comment_idx = raw.find(b"COMMENT") + while comment_idx != -1 and comment_idx < len(raw) - 16: + tag_offset = comment_idx + 7 + if tag_offset + 2 <= len(raw) and raw[tag_offset : tag_offset + 2] == b"\x44\x87": + vint_offset = tag_offset + 2 + if vint_offset + 4 <= len(raw): + vint = int.from_bytes(raw[vint_offset : vint_offset + 4], "big") + n_octets = (32 - vint.bit_length()) // 8 + 1 if vint else 1 + if n_octets <= 4: + shift = 8 * (4 - n_octets) + length = (vint >> shift) & ~(1 << (7 * n_octets)) + data_start = vint_offset + n_octets + data_end = data_start + length + if data_end <= len(raw): + try: + payload = raw[data_start:data_end].decode("utf-8", errors="replace") + extracted["comment"] = payload + except Exception: + pass + comment_idx = raw.find(b"COMMENT", comment_idx + 1) + + # 2. General search for workflow JSON fragments: "nodes": or "class_type": + markers = (b'"nodes":', b'"class_type":', b'"workflow":', b'"prompt":') + for marker in markers: + if "workflow" in extracted or "prompt" in extracted: + break + pos = raw.find(marker) + scan_limit = 0 + while pos != -1 and scan_limit < 3: + scan_limit += 1 + start = raw.rfind(b"{", max(0, pos - 200), pos) + if start != -1: + depth = 0 + in_string = False + escape = False + end = -1 + max_scan = min(start + 16 * 1024 * 1024, len(raw)) + for i in range(start, max_scan): + b = raw[i : i + 1] + if in_string: + if escape: + escape = False + elif b == b"\\": + escape = True + elif b == b'"': + in_string = False + else: + if b == b'"': + in_string = True + elif b == b"{": + depth += 1 + elif b == b"}": + depth -= 1 + if depth == 0: + end = i + 1 + break + if end != -1: + try: + candidate_text = raw[start:end].decode("utf-8", errors="replace") + parsed = json.loads(candidate_text) + if isinstance(parsed, Mapping): + normalized, _fmt = normalize_workflow_payload(parsed) + if normalized: + extracted["workflow"] = candidate_text + break + except Exception: + pass + pos = raw.find(marker, pos + 1) + + return extracted + + +def inspect_container_bytes( + raw: bytes, + filename: str = "", + *, + api_key: Optional[str] = None, +) -> dict[str, Any]: + """Inspect a video/audio container without writing it or executing its workflow.""" + metadata: dict[str, Any] = {} + width = 0 + height = 0 + mode = "" + duration = None + media_type = "media" + format_name = "" + + ext = os.path.splitext(filename)[1].lower() if filename else "" + + try: + import av + + with av.open(io.BytesIO(raw)) as container: + if container.metadata: + for k, v in container.metadata.items(): + metadata[str(k)] = _safe_metadata_value(v, tag_name=str(k)) + + for stream in container.streams: + if stream.metadata: + for k, v in stream.metadata.items(): + metadata.setdefault( + f"{stream.type}:{k}", + _safe_metadata_value(v, tag_name=str(k)), + ) + metadata.setdefault( + str(k), + _safe_metadata_value(v, tag_name=str(k)), + ) + + video_stream = next((s for s in container.streams if s.type == "video"), None) + audio_stream = next((s for s in container.streams if s.type == "audio"), None) + + if video_stream is not None: + media_type = "video" + elif audio_stream is not None: + media_type = "audio" + + raw_format = (container.format.name or media_type).upper().split(",")[0].strip() + if "MATROSKA" in raw_format: + format_name = "WEBM" if ext == ".webm" else "MKV" + elif "MOV" in raw_format or "MP4" in raw_format: + format_name = "MP4" if ext in {".mp4", ".m4v"} else "MOV" + else: + format_name = raw_format + + if container.duration is not None and getattr(av, "time_base", None): + try: + duration = round(float(container.duration / av.time_base), 2) + except Exception: + duration = None + + if video_stream is not None: + width = int(video_stream.width or 0) + height = int(video_stream.height or 0) + pix_fmt = getattr(video_stream.format, "name", "") if video_stream.format else "" + codec = getattr(video_stream.codec_context, "name", "") if getattr(video_stream, "codec_context", None) else "" + mode = f"{codec} ({pix_fmt})" if codec and pix_fmt else (pix_fmt or codec or "video") + elif audio_stream is not None: + sample_rate = getattr(audio_stream, "rate", 0) or 0 + channels = getattr(audio_stream, "channels", 0) or 0 + codec = getattr(audio_stream.codec_context, "name", "") if getattr(audio_stream, "codec_context", None) else "" + mode = f"{codec} ({channels} ch, {sample_rate} Hz)" if codec else f"{channels} ch, {sample_rate} Hz" + except Exception as av_exc: + log.debug(f"PyAV container extraction failed for {filename}: {av_exc}") + + if not any(str(k).strip().lower() in ("workflow", "prompt") for k in metadata): + raw_metadata = _extract_raw_container_metadata(raw) + for k, v in raw_metadata.items(): + metadata.setdefault(k, v) + + if not format_name: + if ext in {".mp4", ".m4v"}: + format_name = "MP4" + media_type = "video" + elif ext == ".webm": + format_name = "WEBM" + media_type = "video" + elif ext == ".mkv": + format_name = "MKV" + media_type = "video" + elif ext == ".mov": + format_name = "MOV" + media_type = "video" + elif ext == ".flac": + format_name = "FLAC" + media_type = "audio" + elif ext in {".mp3", ".wav", ".ogg", ".opus"}: + format_name = ext.lstrip(".").upper() + media_type = "audio" + else: + format_name = "MEDIA" + + civitai_metadata, civitai_resources = _extract_civitai_metadata(metadata) + if civitai_resources: + civitai_resources = resolve_civitai_resource_filenames( + civitai_resources, api_key=api_key + ) + if civitai_metadata: + metadata.setdefault( + "Civitai metadata", + json.dumps(civitai_metadata, ensure_ascii=False), + ) + if civitai_resources: + metadata.setdefault( + "Civitai resources", + json.dumps(civitai_resources, ensure_ascii=False), + ) + + workflow, workflow_format, workflow_source = _find_embedded_workflow(metadata) + + return { + "source_type": media_type, + "filename": filename or f"Dropped {media_type}", + "image": { + "format": format_name, + "width": width, + "height": height, + "mode": mode, + "duration": duration, + "media_type": media_type, + }, + "metadata": _metadata_summary( + metadata, + workflow_format=workflow_format, + workflow_source=workflow_source, + ), + "workflow": workflow, + "workflow_format": workflow_format or "", + "workflow_source": workflow_source, + "workflow_node_count": len(workflow.get("nodes", [])) + if isinstance(workflow, Mapping) + else 0, + "civitai_metadata": civitai_metadata, + "civitai_resources": civitai_resources, + "civitai_workflow": ( + str(civitai_metadata.get("workflow", "")) + if isinstance(civitai_metadata.get("workflow"), str) + else "" + ), + } + + def inspect_image_bytes( raw: bytes, filename: str = "", *, api_key: Optional[str] = None, ) -> dict[str, Any]: - """Inspect a supported image without writing it or executing its workflow.""" + """Inspect a supported image or media file without writing it or executing its workflow.""" try: from PIL import Image @@ -634,10 +894,14 @@ def inspect_image_bytes( else "" ), } - except ValueError: - raise - except Exception as exc: - raise ValueError(f"Could not read image metadata: {exc}") from exc + except Exception as img_exc: + try: + return inspect_container_bytes(raw, filename=filename, api_key=api_key) + except Exception as container_exc: + raise ValueError(f"Could not read metadata: {container_exc or img_exc}") from container_exc + + +inspect_media_bytes = inspect_image_bytes def _parse_workflow_json_text(value: str) -> Any: @@ -921,7 +1185,7 @@ class ImageMetadataService: return self.web.json_response({"error": str(exc)}, status=400) try: - if source_type == "image": + if source_type in {"image", "media", "video", "audio"}: data_url = data.get("data_url") if not isinstance(data_url, str): raise ValueError("Image data is required") @@ -974,7 +1238,7 @@ class ImageMetadataService: api_key=civitai_key or None, ) else: - raise ValueError("Metadata source type must be image, workflow, or civitai") + raise ValueError("Metadata source type must be image, media, video, audio, workflow, or civitai") except (TypeError, ValueError) as exc: return self.web.json_response({"error": str(exc)}, status=400) except Exception as exc: diff --git a/core/workflow/formats.py b/core/workflow/formats.py index a56e99f..e6492a6 100644 --- a/core/workflow/formats.py +++ b/core/workflow/formats.py @@ -14,6 +14,8 @@ _WORKFLOW_CONTAINER_KEYS = ( "extra_pnginfo", "extra_metadata", "graph", + "comment", + "description", ) diff --git a/metadata/huggingface-author-index.json b/metadata/huggingface-author-index.json index 0805f48..0e75d63 100644 --- a/metadata/huggingface-author-index.json +++ b/metadata/huggingface-author-index.json @@ -3,103 +3,103 @@ "authors": { "Comfy-Org": { "author": "Comfy-Org", - "updated_at": 1793061279.7301898, + "updated_at": 1793543390.9155366, "repo_count": 92, - "file_count": 869, - "hash_count": 663, + "file_count": 877, + "hash_count": 671, "repos": [ "Comfy-Org/MOSS-Image", - "Comfy-Org/Fibo-2.0", "Comfy-Org/MiniMax-H3", + "Comfy-Org/Fibo-2.0", "Comfy-Org/Qwen-Image-2.1", "Comfy-Org/Krea-2", - "Comfy-Org/Ming-3.0-TTS", - "Comfy-Org/Wan-2.2", - "Comfy-Org/Flux-2-Dev", "Comfy-Org/Wan-2.1", - "Comfy-Org/Z-Image-Turbo", - "Comfy-Org/YuE2", - "Comfy-Org/sam3.1", - "Comfy-Org/SeedVR2", - "Comfy-Org/Qwen-Image", - "Comfy-Org/Pixal3D", "Comfy-Org/Flux-2-Klein-9B", - "Comfy-Org/Flux-1-Dev", + "Comfy-Org/Wan-2.2", + "Comfy-Org/YuE2", + "Comfy-Org/Flux-2-Dev", + "Comfy-Org/sam3.1", + "Comfy-Org/Z-Image-Turbo", + "Comfy-Org/SeedVR2", "Comfy-Org/stable-diffusion-1.5", - "Comfy-Org/Flux-2-Klein-4B", - "Comfy-Org/Ming-Image", - "Comfy-Org/Qwen-Image-Edit", + "Comfy-Org/BiRefNet", + "Comfy-Org/Flux-1-Dev", + "Comfy-Org/Flux-1-Schnell", + "Comfy-Org/Qwen-Image", + "Comfy-Org/stable-audio-3", + "Comfy-Org/Qwen3-VL", + "Comfy-Org/Pixal3D", + "Comfy-Org/MiniMax-Music-3", + "Comfy-Org/Ming-3.0-TTS", + "Comfy-Org/stable-diffusion-3.5", + "Comfy-Org/Cosmos-Predict2", + "Comfy-Org/Hunyuan-Image-2.1", + "Comfy-Org/Qwen3.5", "Comfy-Org/Frame-Interpolation", "Comfy-Org/gemma-4", - "Comfy-Org/Anima-LLLite", - "Comfy-Org/Flux-1-Schnell", - "Comfy-Org/ltx-2", - "Comfy-Org/Causal-Forcing-Framewise", - "Comfy-Org/BiRefNet", - "Comfy-Org/stable-audio-3", "Comfy-Org/PixelDiT", - "Comfy-Org/sam-3d-body", "Comfy-Org/SCAIL-2", - "Comfy-Org/MiniMax-Music-3", - "Comfy-Org/Cosmos-Predict2", - "Comfy-Org/Qwen-Image-DiffSynth-ControlNets", - "Comfy-Org/Qwen-Image-InstantX-ControlNets", - "Comfy-Org/stable-diffusion-3.5-controlnets", - "Comfy-Org/Qwen-Image-Layered", - "Comfy-Org/Chroma1-HD", - "Comfy-Org/SDPose", - "Comfy-Org/ltx-2.3", - "Comfy-Org/MoGe", - "Comfy-Org/TRELLIS.2", - "Comfy-Org/Depth-Anything-3", - "Comfy-Org/Qwen3-VL", - "Comfy-Org/Ideogram-4", - "Comfy-Org/Bernini-R", - "Comfy-Org/Boogu-Image", - "Comfy-Org/Wan-Animate-2", + "Comfy-Org/Anima-LLLite", "Comfy-Org/Mage-Flow", + "Comfy-Org/Hunyuan-Video", + "Comfy-Org/ACE-Step", + "Comfy-Org/Hunyuan-3D-2.0", + "Comfy-Org/Qwen-Image-InstantX-ControlNets", + "Comfy-Org/USO-1.0", + "Comfy-Org/Hunyuan-3D-2.1", + "Comfy-Org/HuMo", + "Comfy-Org/Chroma1-Radiance", + "Comfy-Org/CLIP-ViT-H-14-laion2B-s32B-b79K_repackaged", + "Comfy-Org/ACE-Step-1.5", + "Comfy-Org/SDPose", + "Comfy-Org/Causal-Forcing-Framewise", + "Comfy-Org/ERNIE-Image", + "Comfy-Org/HiDream-O1-Image", + "Comfy-Org/TRELLIS.2", + "Comfy-Org/Ideogram-4", + "Comfy-Org/RT-DETR", "Comfy-Org/marigold-v2-0", - "Comfy-Org/stable-diffusion-3.5", + "Comfy-Org/Qwen3.8-27B", + "Comfy-Org/Qwen-Image-Edit", + "Comfy-Org/Flux-2-Klein-4B", "Comfy-Org/Mochi-Preview", "Comfy-Org/sigclip_vision_384", - "Comfy-Org/Hunyuan-Video", "Comfy-Org/Lumina-Image-2", "Comfy-Org/HiDream", - "Comfy-Org/ACE-Step", "Comfy-Org/lotus", "Comfy-Org/OmniGen-2", "Comfy-Org/Flux-1-Kontext-Dev", "Comfy-Org/Real-ESRGAN", - "Comfy-Org/Hunyuan-3D-2.0", "Comfy-Org/stable-audio-open-1.0", "Comfy-Org/Flux-1-Redux-Dev", "Comfy-Org/Flux-1-Krea-Dev", - "Comfy-Org/USO-1.0", - "Comfy-Org/Hunyuan-3D-2.1", - "Comfy-Org/Hunyuan-Image-2.1", + "Comfy-Org/Qwen-Image-DiffSynth-ControlNets", "Comfy-Org/OneReward", - "Comfy-Org/HuMo", + "Comfy-Org/stable-diffusion-3.5-controlnets", "Comfy-Org/T2I-Adapter", "Comfy-Org/stable-diffusion-2.1-unclip", "Comfy-Org/stable-diffusion-2.1", "Comfy-Org/Hunyuan-Video-1.5", "Comfy-Org/Ovis-Image", - "Comfy-Org/Chroma1-Radiance", - "Comfy-Org/CLIP-ViT-H-14-laion2B-s32B-b79K_repackaged", + "Comfy-Org/Qwen-Image-Layered", "Comfy-Org/NewBie-Image-Exp0.1", + "Comfy-Org/Chroma1-HD", + "Comfy-Org/ltx-2", "Comfy-Org/Z-Image", - "Comfy-Org/ACE-Step-1.5", "Comfy-Org/Wan-Dancer", "Comfy-Org/LongCat-Image", - "Comfy-Org/Qwen3.5", - "Comfy-Org/ERNIE-Image", + "Comfy-Org/ltx-2.3", "Comfy-Org/void-model", - "Comfy-Org/HiDream-O1-Image", + "Comfy-Org/MoGe", "Comfy-Org/mediapipe", + "Comfy-Org/Depth-Anything-3", "Comfy-Org/Lens", - "Comfy-Org/RT-DETR", + "Comfy-Org/sam-3d-body", + "Comfy-Org/Bernini-R", + "Comfy-Org/Boogu-Image", + "Comfy-Org/Wan-Animate-2", "Comfy-Org/JoyAI-Image-Edit", - "Comfy-Org/Qwen3.8-27B" + "Comfy-Org/Ming-Image" ], "files": [ { @@ -193,76 +193,6 @@ "size": 249521340, "sha256": "d8d52ba036475f5fb07c8b435e176d3d97ebfa82f0d1a1c317f9cc1e25bd013b" }, - { - "repo_id": "Comfy-Org/Fibo-2.0", - "path": ".gitattributes", - "filename": ".gitattributes", - "size": null, - "sha256": "" - }, - { - "repo_id": "Comfy-Org/Fibo-2.0", - "path": "README.md", - "filename": "README.md", - "size": null, - "sha256": "" - }, - { - "repo_id": "Comfy-Org/Fibo-2.0", - "path": "diffusion_models/fibo2_dev_bf16.safetensors", - "filename": "fibo2_dev_bf16.safetensors", - "size": 16452934194, - "sha256": "2a09866ff073cae9114f5fd93c0f530f84d41f74dc06e3d0c1372587bb3e9984" - }, - { - "repo_id": "Comfy-Org/Fibo-2.0", - "path": 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"filename": ".gitattributes", + "size": null, + "sha256": "" + }, + { + "repo_id": "Kijai/flux3_experimental", + "path": "loras/flux3_klein_sd_lora_rank_256_bf16.safetensors", + "filename": "flux3_klein_sd_lora_rank_256_bf16.safetensors", + "size": 1351819304, + "sha256": "398d0167102c3fbfb7520093b18eeb2612616c27beb532bb7cfe5c164a91e28d" } ] } diff --git a/tests/test_image_metadata.py b/tests/test_image_metadata.py index 7877abf..ab8f56f 100644 --- a/tests/test_image_metadata.py +++ b/tests/test_image_metadata.py @@ -64,6 +64,48 @@ def jpeg_with_nested_user_comment(comment): return output.getvalue() +def mp4_with_metadata(metadata): + import av + import numpy as np + + buf = io.BytesIO() + with av.open(buf, mode="w", format="mp4", options={"movflags": "use_metadata_tags"}) as c: + for k, v in metadata.items(): + c.metadata[k] = v if isinstance(v, str) else json.dumps(v) + s = c.add_stream("h264", rate=24) + s.width = 64 + s.height = 64 + s.pix_fmt = "yuv420p" + f = av.VideoFrame.from_ndarray(np.zeros((64, 64, 3), dtype=np.uint8), format="rgb24") + f.pts = 0 + for p in s.encode(f): + c.mux(p) + for p in s.encode(None): + c.mux(p) + return buf.getvalue() + + +def webm_with_metadata(metadata): + import av + import numpy as np + + buf = io.BytesIO() + with av.open(buf, mode="w", format="webm") as c: + for k, v in metadata.items(): + c.metadata[k] = v if isinstance(v, str) else json.dumps(v) + s = c.add_stream("vp9", rate=24) + s.width = 64 + s.height = 64 + s.pix_fmt = "yuv420p" + f = av.VideoFrame.from_ndarray(np.zeros((64, 64, 3), dtype=np.uint8), format="rgb24") + f.pts = 0 + for p in s.encode(f): + c.mux(p) + for p in s.encode(None): + c.mux(p) + return buf.getvalue() + + def test_api_workflow_is_detected_and_normalized_for_existing_analyzer(): api = api_workflow() @@ -152,7 +194,11 @@ def test_jpeg_nested_exif_reads_civitai_metadata_and_resources(): f"Civitai metadata: {json.dumps(civitai_metadata)}" ) - result = inspect_image_bytes(jpeg_with_nested_user_comment(comment), "civitai.jpg") + with patch( + "core.services.image_metadata_service.execute_provider_json_request", + return_value=None, + ): + result = inspect_image_bytes(jpeg_with_nested_user_comment(comment), "civitai.jpg") assert "EXIF:UserComment" in result["metadata"]["keys"] assert "Civitai metadata" in result["metadata"]["keys"] @@ -228,6 +274,105 @@ async def test_metadata_service_accepts_image_data_url(): assert body["workflow_node_count"] == 2 +def test_mp4_metadata_reads_comfyui_workflow(): + workflow_payload = { + "nodes": [ + { + "id": 1, + "type": "CheckpointLoaderSimple", + "widgets_values": ["model.safetensors"], + } + ] + } + mp4_bytes = mp4_with_metadata({"workflow": json.dumps(workflow_payload)}) + result = inspect_image_bytes(mp4_bytes, "animation.mp4") + + assert result["source_type"] == "video" + assert result["image"]["format"] == "MP4" + assert result["image"]["width"] == 64 + assert result["image"]["height"] == 64 + assert result["workflow_format"] == UI_WORKFLOW_FORMAT + assert result["workflow_node_count"] == 1 + assert result["metadata"]["has_workflow"] is True + + +def test_webm_metadata_reads_comfyui_workflow(): + workflow_payload = { + "nodes": [ + { + "id": 1, + "type": "KSampler", + "widgets_values": [123, 20], + } + ] + } + webm_bytes = webm_with_metadata({"WORKFLOW": json.dumps(workflow_payload)}) + result = inspect_image_bytes(webm_bytes, "clip.webm") + + assert result["source_type"] == "video" + assert result["image"]["format"] == "WEBM" + assert result["workflow_format"] == UI_WORKFLOW_FORMAT + assert result["workflow_node_count"] == 1 + + +def test_media_raw_byte_fallback_extracts_workflow(): + workflow_payload = { + "nodes": [ + { + "id": 10, + "type": "VAELoader", + "widgets_values": ["vae.safetensors"], + } + ] + } + raw = ( + b"some_random_mp4_box_bytes" + + json.dumps(workflow_payload).encode("utf-8") + + b"trailing_raw_container_data" + ) + result = inspect_image_bytes(raw, "raw_video.mp4") + + assert result["image"]["format"] == "MP4" + assert result["workflow_format"] == UI_WORKFLOW_FORMAT + assert result["workflow_node_count"] == 1 + + +@pytest.mark.asyncio +async def test_metadata_service_accepts_video_source_type(): + workflow_payload = { + "nodes": [ + { + "id": 1, + "type": "CheckpointLoaderSimple", + "widgets_values": ["model.safetensors"], + } + ] + } + raw = mp4_with_metadata({"workflow": json.dumps(workflow_payload)}) + data_url = "data:video/mp4;base64," + base64.b64encode(raw).decode("ascii") + request = SimpleNamespace( + json=AsyncMock( + return_value={ + "source_type": "video", + "filename": "render.mp4", + "data_url": data_url, + } + ) + ) + service = ImageMetadataService( + RouteContext({"asyncio": asyncio, "web": web}) + ) + + response = await service.inspect_metadata(request) + body = json.loads(response.text) + + assert response.status == 200 + assert body["source_type"] == "video" + assert body["image"]["format"] == "MP4" + assert body["workflow_format"] == UI_WORKFLOW_FORMAT + assert body["workflow_node_count"] == 1 + + def civitai_html_payload(meta=None, resources=None, img_data=None): if meta is None: meta = { diff --git a/tests/test_image_metadata_transfer.mjs b/tests/test_image_metadata_transfer.mjs index 6aefecf..9304d10 100644 --- a/tests/test_image_metadata_transfer.mjs +++ b/tests/test_image_metadata_transfer.mjs @@ -742,3 +742,205 @@ test('workflow node context keeps Locate Node but hides model info', () => { assert.equal(visibility.showInfo, false); assert.equal(visibility.locateNode, true); }); + +test('multi-category target node keeps selections, previews, and transfer targets isolated per category', async () => { + const context = createTransferContext(); + const loadedModels = { + loaded_models: [ + { + category: 'upscale_models', + node_id: 1512, + node_type: 'Settings', + widget_index: 0, + original_path: '2x-AnimeSharpV4_RCAN.pth', + active: true, + connected: true, + is_top_level: true, + }, + { + category: 'diffusion_models', + node_id: 1512, + node_type: 'Settings', + widget_index: 1, + original_path: 'DasimaMinimaxH3_slot1.safetensors', + active: true, + connected: true, + is_top_level: true, + }, + { + category: 'diffusion_models', + node_id: 1512, + node_type: 'Settings', + widget_index: 2, + original_path: 'DasimaMinimaxH3_slot2.safetensors', + active: true, + connected: true, + is_top_level: true, + }, + { + category: 'text_encoders', + node_id: 1512, + node_type: 'Settings', + widget_index: 3, + original_path: 'qwen3vl_32b.safetensors', + active: true, + connected: true, + is_top_level: true, + }, + ], + }; + + const targetGroups = context.getMetadataTransferTargetGroups(loadedModels); + assert.equal(targetGroups.length, 3); + const upscaleGroup = targetGroups.find(g => g.category === 'upscale_models'); + const diffusionGroup = targetGroups.find(g => g.category === 'diffusion_models'); + const textEncGroup = targetGroups.find(g => g.category === 'text_encoders'); + assert.ok(upscaleGroup && diffusionGroup && textEncGroup); + assert.equal(upscaleGroup.nodes[0].targetKey, 'upscale_models:top:1512'); + assert.equal(diffusionGroup.nodes[0].targetKey, 'diffusion_models:top:1512'); + assert.equal(textEncGroup.nodes[0].targetKey, 'text_encoders:top:1512'); + assert.equal(upscaleGroup.nodes[0].refs.length, 1); + assert.equal(diffusionGroup.nodes[0].refs.length, 2); + assert.equal(textEncGroup.nodes[0].refs.length, 1); + + const state = { + loadedModels: { + loaded_models: [ + { category: 'upscale_models', original_path: 'imported-upscale.pth' }, + { category: 'diffusion_models', original_path: 'imported-diffusion.safetensors' }, + { category: 'text_encoders', original_path: 'imported-clip.safetensors' }, + ], + }, + transfer: { + mode: 'replace', + activityScope: 'all', + targetGroups, + selectedNodeKeys: new Set(), + sourceSelections: {}, + }, + }; + context.imageInspectorState = state; + context.renderMetadataTransferPanelInPlace = () => true; + + // Initially none selected + let html = context.renderMetadataTransferPanel(state); + assert.match(html, /]*data-image-transfer-target="upscale_models:top:1512"[^>]*aria-pressed="false"/); + assert.match(html, /]*data-image-transfer-target="diffusion_models:top:1512"[^>]*aria-pressed="false"/); + + // Toggle ONLY upscale_models + context.toggleMetadataTransferNode('upscale_models:top:1512'); + assert.deepEqual(Array.from(state.transfer.selectedNodeKeys), ['upscale_models:top:1512']); + + // Preview rows should contain ONLY upscale models + const previewRows = context.getMetadataTransferPreviewRows(state); + assert.equal(previewRows.length, 1); + assert.equal(previewRows[0].category, 'upscale_models'); + assert.equal(previewRows[0].targetKey, 'upscale_models:top:1512'); + assert.equal(previewRows[0].currentValue, '2x-AnimeSharpV4_RCAN.pth'); + + // Rendered panel should mark upscale as selected and diffusion as unselected + html = context.renderMetadataTransferPanel(state); + assert.match(html, /]*data-image-transfer-target="upscale_models:top:1512"[^>]*aria-pressed="true"/); + assert.match(html, /]*data-image-transfer-target="diffusion_models:top:1512"[^>]*aria-pressed="false"/); + assert.match(html, /]*data-image-transfer-target="text_encoders:top:1512"[^>]*aria-pressed="false"/); + + // In the upscale node preview, diffusion model strings must NOT appear + const upscaleSection = html.slice( + html.indexOf('data-image-transfer-category="upscale_models"'), + html.indexOf('data-image-transfer-category="diffusion_models"') + ); + assert.match(upscaleSection, /2x-AnimeSharpV4_RCAN\.pth/); + assert.doesNotMatch(upscaleSection, /DasimaMinimaxH3/); + assert.doesNotMatch(upscaleSection, /qwen3vl_32b/); + + // Apply transfer should send ONLY the upscale target ref + let appliedPayload = null; + context.getCurrentWorkflow = () => ({ signature: 'wf-1512' }); + context.getWorkflowSignature = () => 'wf-1512'; + context.fetchJson = async (url, options) => { + if (url.includes('transfer-models')) { + appliedPayload = JSON.parse(options.body); + return { success: true, updated: 1, workflow: { signature: 'wf-1512-updated' } }; + } + return { loaded_models: [] }; + }; + context.updateWorkflowInComfyUI = async () => true; + + await context.applyMetadataTransfer(); + assert.ok(appliedPayload); + assert.equal(appliedPayload.target_refs.length, 1); + assert.equal(appliedPayload.target_refs[0].category, 'upscale_models'); + assert.equal(appliedPayload.target_refs[0].node_id, 1512); + assert.equal(appliedPayload.target_refs[0].widget_index, 0); +}); + +test('metadata transfer renders locate button for target nodes', () => { + const context = createTransferContext(); + const state = createTransferState([ + { category: 'text_encoders', original_path: 'imported.safetensors' }, + ]); + + const html = context.renderMetadataTransferPanel(state); + + assert.match(html, /class="[^"]*mr-image-transfer-node-target[^"]*"/); + assert.match(html, /data-image-transfer-locate/); + assert.match(html, /data-node-id="1"/); + assert.match(html, /data-tooltip="Center this node in the ComfyUI graph\."/); + assert.match(html, /aria-label="Center CLIPLoader in the ComfyUI graph"/); + assert.match(html, /class="mr-node-chip-icon"/); +}); + +test('metadata transfer locate button triggers locateNodeInGraph and does not toggle node selection', () => { + const context = createTransferContext(); + let clickListener = null; + const mockRoot = { + dataset: {}, + addEventListener: (type, listener) => { + if (type === 'click') clickListener = listener; + }, + removeEventListener: () => {}, + querySelector: sel => (sel === '.mr-image-inspector' ? mockRoot : null), + }; + context.contentElement = mockRoot; + + let locatedTarget = null; + context.locateNodeInGraph = (nodeId, options) => { + locatedTarget = { nodeId, ...options }; + }; + + let toggledNode = null; + context.toggleMetadataTransferNode = (target) => { + toggledNode = target; + }; + + context.bindImageMetadataEvents(); + assert.ok(clickListener); + + const locateButton = { + dataset: { + imageTransferLocate: '', + nodeId: '1512', + subgraphId: 'sub-42', + isTopLevel: 'false', + }, + }; + locateButton.closest = selector => (selector.includes('data-image-transfer-locate') ? locateButton : null); + + let defaultPrevented = false; + let propagationStopped = false; + clickListener({ + target: locateButton, + preventDefault: () => { defaultPrevented = true; }, + stopPropagation: () => { propagationStopped = true; }, + }); + + assert.equal(defaultPrevented, true); + assert.equal(propagationStopped, true); + assert.deepEqual(locatedTarget, { + nodeId: 1512, + subgraphId: 'sub-42', + isTopLevel: false, + }); + assert.equal(toggledNode, null); +}); + diff --git a/tests/test_metadata_collapse.mjs b/tests/test_metadata_collapse.mjs index 7d8cdf2..dc4d7d5 100644 --- a/tests/test_metadata_collapse.mjs +++ b/tests/test_metadata_collapse.mjs @@ -1,6 +1,12 @@ import test from 'node:test'; import assert from 'node:assert/strict'; -import { imageMetadataMethods, extractCivitaiImageId } from '../web/resolver/views/tabs_image_metadata_methods.js'; +import { + imageMetadataMethods, + extractCivitaiImageId, + isMediaFile, + isImageFile, + isWorkflowFile, +} from '../web/resolver/views/tabs_image_metadata_methods.js'; import { tabsLoadedMethods } from '../web/resolver/views/tabs_loaded_methods.js'; globalThis.window = globalThis; @@ -41,7 +47,6 @@ test('image metadata sections default to expanded', () => { test('toggling section marks it collapsed and persists state', () => { const ctx = createMockContext(); - const state = {}; ctx.toggleImageInspectorSection('prompt-transfer'); assert.strictEqual(ctx.isImageInspectorSectionCollapsed('prompt-transfer'), true); assert.strictEqual(ctx.isImageInspectorSectionCollapsed('model-transfer'), false); @@ -632,6 +637,61 @@ test('getMetadataTransferModelLabel appends friendly model name in brackets when assert.strictEqual(ctx.getMetadataTransferModelLabel(modelSameName), 'Cinematic Krea2'); }); +test('isMediaFile recognizes videos, audio and images', () => { + assert.strictEqual(isMediaFile({ name: 'animation.mp4', type: 'video/mp4' }), true); + assert.strictEqual(isMediaFile({ name: 'clip.webm', type: 'video/webm' }), true); + assert.strictEqual(isMediaFile({ name: 'render.mkv', type: 'video/x-matroska' }), true); + assert.strictEqual(isMediaFile({ name: 'audio.flac', type: 'audio/flac' }), true); + assert.strictEqual(isMediaFile({ name: 'song.mp3', type: 'audio/mpeg' }), true); + assert.strictEqual(isMediaFile({ name: 'photo.png', type: 'image/png' }), true); + assert.strictEqual(isMediaFile({ name: 'photo.webp', type: 'image/webp' }), true); + assert.strictEqual(isMediaFile({ name: 'unknown.xyz', type: 'application/octet-stream' }), false); + assert.strictEqual(isMediaFile(null), false); + + // isImageFile delegates to isMediaFile + assert.strictEqual(isImageFile({ name: 'video.mp4' }), true); + assert.strictEqual(isWorkflowFile({ name: 'workflow.json' }), true); +}); + +test('inspectImageMetadataFile routes video files to inspectImageFile', async () => { + const ctx = createMockContext(); + let inspectedFile = null; + ctx.inspectImageFile = (file) => { + inspectedFile = file; + return { success: true }; + }; + const mp4File = { name: 'comfy.mp4', type: 'video/mp4', size: 1024 }; + const res = await ctx.inspectImageMetadataFile(mp4File); + assert.strictEqual(res?.success, true); + assert.strictEqual(inspectedFile?.name, 'comfy.mp4'); +}); + +test('handleImageMetadataPaste accepts video and audio data URLs', () => { + const ctx = createMockContext(); + const { root } = createMockPasteTarget(ctx); + let payload = null; + ctx.runImageMetadataInspection = (p) => { payload = p; }; + let defaultPrevented = false; + let propagationStopped = false; + const event = { + target: root, + preventDefault: () => { defaultPrevented = true; }, + stopPropagation: () => { propagationStopped = true; }, + clipboardData: { + files: [], + items: [], + getData: () => 'data:video/mp4;base64,AAAA', + }, + }; + assert.strictEqual(ctx.handleImageMetadataPaste(event), true); + assert.strictEqual(defaultPrevented, true); + assert.strictEqual(propagationStopped, true); + assert.strictEqual(payload?.source_type, 'image'); + assert.strictEqual(payload?.filename, 'Pasted media'); + assert.strictEqual(payload?.data_url, 'data:video/mp4;base64,AAAA'); +}); + + diff --git a/web/css/resolver-main.css b/web/css/resolver-main.css index 9c29420..a0ecaf9 100644 --- a/web/css/resolver-main.css +++ b/web/css/resolver-main.css @@ -6078,12 +6078,22 @@ button.mr-info-link:disabled { opacity: 0.5; } +.mr-image-transfer-node-target { + display: flex; + align-items: center; + justify-content: space-between; + gap: var(--mr-spacing-8); + min-width: 0; + width: 100%; +} + .mr-image-transfer-node-select { appearance: none; display: flex; align-items: center; gap: var(--mr-spacing-10); min-width: 0; + flex: 1 1 auto; width: 100%; padding: 0; border: 0; @@ -6095,6 +6105,18 @@ button.mr-info-link:disabled { text-align: left; } +#model-resolver-modal .mr-image-transfer-node-locate { + padding: var(--mr-spacing-2) var(--mr-spacing-6); + flex-shrink: 0; + opacity: 0.75; + transition: var(--mr-missing-control-transition, background 0.15s ease, border-color 0.15s ease, color 0.15s ease), opacity 0.15s ease; +} + +#model-resolver-modal .mr-image-transfer-node-locate:hover, +#model-resolver-modal .mr-image-transfer-node-locate:focus-visible { + opacity: 1; +} + .mr-image-transfer-node-select:disabled { cursor: not-allowed; } diff --git a/web/resolver/utils/workflow_metadata.js b/web/resolver/utils/workflow_metadata.js index 65298a2..6145cb9 100644 --- a/web/resolver/utils/workflow_metadata.js +++ b/web/resolver/utils/workflow_metadata.js @@ -1,8 +1,12 @@ const WORKFLOW_CONTAINER_KEYS = new Set([ 'comfy', 'comfyui', + 'comment', + 'description', 'extra_metadata', 'extra_pnginfo', + 'graph', + 'prompt', 'workflow' ]); diff --git a/web/resolver/views/tabs_image_metadata_methods.js b/web/resolver/views/tabs_image_metadata_methods.js index 13e1b28..2b9ac31 100644 --- a/web/resolver/views/tabs_image_metadata_methods.js +++ b/web/resolver/views/tabs_image_metadata_methods.js @@ -12,7 +12,7 @@ import { updateWorkflowPromptValue, } from "../utils/prompt_utils.js"; -const MAX_IMAGE_FILE_SIZE = 64 * 1024 * 1024; +const MAX_IMAGE_FILE_SIZE = 256 * 1024 * 1024; const MAX_WORKFLOW_FILE_SIZE = 16 * 1024 * 1024; const METADATA_TRANSFER_MODE_STORAGE_KEY = 'model_resolver_metadata_transfer_mode'; const METADATA_TRANSFER_ACTIVITY_SCOPE_STORAGE_KEY = 'model_resolver_metadata_transfer_activity_scope'; @@ -110,13 +110,20 @@ function cloneWorkflowSnapshot(workflow) { } } -function isImageFile(file) { +export function isMediaFile(file) { const name = String(file?.name || '').toLowerCase(); - return String(file?.type || '').startsWith('image/') - || /\.(png|jpe?g|webp)$/i.test(name); + const type = String(file?.type || '').toLowerCase(); + return type.startsWith('image/') + || type.startsWith('video/') + || type.startsWith('audio/') + || /\.(png|jpe?g|webp|gif|tiff?|bmp|avif|mp4|webm|mkv|mov|avi|m4v|flac|mp3|wav|ogg|opus|m4a|aac)$/i.test(name); } -function isWorkflowFile(file) { +export function isImageFile(file) { + return isMediaFile(file); +} + +export function isWorkflowFile(file) { const name = String(file?.name || '').toLowerCase(); return file?.type === 'application/json' || file?.type === 'text/json' @@ -439,12 +446,12 @@ export const imageMetadataMethods = { Image Metadata - ${this.getMetadataTooltipBadge('Drop or paste (Ctrl+V) an image, Civitai link, or workflow JSON/text file here, or paste JSON into the box below.', 'Image metadata help')} + ${this.getMetadataTooltipBadge('Drop or paste (Ctrl+V) an image, video, audio, Civitai link, or workflow JSON/text file here, or paste JSON into the box below.', 'Metadata help')}
- +
@@ -562,9 +569,25 @@ export const imageMetadataMethods = { return; } - const nodeChip = event.target.closest?.('[data-image-transfer-node]'); + const locateBtn = event.target.closest?.('[data-image-transfer-locate]'); + if (locateBtn) { + event.preventDefault(); + event.stopPropagation(); + const rawNodeId = locateBtn.dataset.nodeId; + const numericNodeId = Number(rawNodeId); + void this.locateNodeInGraph?.(Number.isNaN(numericNodeId) ? rawNodeId : numericNodeId, { + subgraphId: locateBtn.dataset.subgraphId || '', + isTopLevel: locateBtn.dataset.isTopLevel !== 'false', + }); + return; + } + + const nodeChip = event.target.closest?.('[data-image-transfer-target], [data-image-transfer-node]'); if (nodeChip) { - this.toggleMetadataTransferNode(nodeChip.dataset.imageTransferNode); + this.toggleMetadataTransferNode( + nodeChip.dataset.imageTransferTarget || nodeChip.dataset.imageTransferNode, + nodeChip.dataset.imageTransferCategory + ); return; } @@ -779,12 +802,12 @@ export const imageMetadataMethods = { const text = clipboardData.getData?.('text/plain') || ''; const trimmed = text.trim(); - if (/^data:image\/(png|jpeg|jpg|webp);base64,/i.test(trimmed)) { + if (/^data:(image|video|audio)\/[a-zA-Z0-9.\-_+]+;base64,/i.test(trimmed)) { event.preventDefault?.(); event.stopPropagation?.(); void this.runImageMetadataInspection({ source_type: 'image', - filename: 'Pasted image', + filename: 'Pasted media', data_url: trimmed, }); return true; @@ -816,30 +839,30 @@ export const imageMetadataMethods = { }, async inspectImageMetadataFile(file) { - if (isImageFile(file)) { + if (isMediaFile(file) || isImageFile(file)) { return this.inspectImageFile(file); } if (isWorkflowFile(file)) { return this.inspectWorkflowFile(file); } - this.showNotification('Select an image, workflow JSON, or workflow text file.', 'warning'); + this.showNotification('Select an image, video, audio, workflow JSON, or workflow text file.', 'warning'); return null; }, async inspectImageFile(file) { if (file.size > MAX_IMAGE_FILE_SIZE) { - this.showNotification('The image is too large to inspect (maximum 64 MB).', 'error'); + this.showNotification('The file is too large to inspect (maximum 256 MB).', 'error'); return null; } try { const dataUrl = await readFileAsDataUrl(file); return this.runImageMetadataInspection({ source_type: 'image', - filename: file.name || 'Pasted image.png', + filename: file.name || 'Pasted media', data_url: dataUrl, }); } catch (error) { - this.showNotification(error.message || 'Could not read the image file.', 'error'); + this.showNotification(error.message || 'Could not read the file.', 'error'); return null; } }, @@ -1057,10 +1080,16 @@ export const imageMetadataMethods = { ? metadata.metadata.keys.join(', ') : '—'; const parameters = String(metadata.metadata?.parameters || '').trim(); + const isVideo = metadata.source_type === 'video' || image.media_type === 'video' || /\.(mp4|webm|mkv|mov|avi|m4v)$/i.test(metadata.filename || ''); + const isAudio = metadata.source_type === 'audio' || image.media_type === 'audio' || /\.(flac|mp3|wav|ogg|opus|m4a)$/i.test(metadata.filename || ''); + const formatLabel = isVideo ? 'Video format' : (isAudio ? 'Audio format' : 'Image format'); + const modeLabel = isVideo ? 'Pixel format / codec' : (isAudio ? 'Audio info' : 'Color mode'); + const rows = [ ['Source file', metadata.filename || '—'], - image.format ? ['Image format', imageFormat] : null, + image.format ? [formatLabel, imageFormat] : null, image.width && image.height ? ['Dimensions', dimensions] : null, + image.duration ? ['Duration', `${Number(image.duration).toFixed(1)}s`] : null, ['Workflow format', workflowFormat], ['Workflow source', metadata.workflow_source || '—'], ['Workflow nodes', metadata.workflow @@ -1070,7 +1099,7 @@ export const imageMetadataMethods = { civitaiResources.length ? ['Civitai resources', countLabel(civitaiResources.length, 'resource')] : null, - image.mode ? ['Color mode', image.mode] : null, + image.mode ? [modeLabel, image.mode] : null, ['Metadata keys', metadataKeys], ].filter(Boolean); const rowsHtml = rows.map(([label, value]) => ` @@ -1626,6 +1655,8 @@ export const imageMetadataMethods = { let node = categoryGroup.nodes.get(nodeKey); if (!node) { node = { + category, + targetKey: `${category}:${nodeKey}`, nodeKey, nodeId: model.node_id, nodeType: String(model.node_type || '').trim(), @@ -1652,6 +1683,26 @@ export const imageMetadataMethods = { })); }, + isMetadataTransferNodeSelected(selectedNodeKeys, node = {}, category = '') { + if (!selectedNodeKeys) return false; + const set = selectedNodeKeys instanceof Set ? selectedNodeKeys : new Set(selectedNodeKeys); + const normalizedCategory = normalizeTransferCategory(category || node?.category); + const nodeKey = String(node?.nodeKey || ''); + const targetKey = String(node?.targetKey || (normalizedCategory && nodeKey ? `${normalizedCategory}:${nodeKey}` : '')); + + if (targetKey && set.has(targetKey)) { + return true; + } + if (nodeKey && set.has(nodeKey)) { + return true; + } + return false; + }, + + getLocateIconHtml() { + return ``; + }, + getMetadataTransferModelValue(model = {}) { return String( model?.original_path @@ -1888,9 +1939,10 @@ export const imageMetadataMethods = { for (const group of targetGroups) { const category = normalizeTransferCategory(group.category); for (const node of group.nodes || []) { - if (!selectedNodeKeys.has(node.nodeKey)) continue; + if (!this.isMetadataTransferNodeSelected(selectedNodeKeys, node, category)) continue; + const targetKey = node.targetKey || `${category}:${node.nodeKey}`; for (const ref of node.refs || []) { - const target = { category, node, ref, activityScope }; + const target = { category, node, ref, activityScope, targetKey }; target.acceptedFileTypes = this.getMetadataTransferAcceptedFileTypes(target); target.compatibleSources = this.getMetadataTransferCompatibleSourcesForTarget( target, @@ -1977,6 +2029,7 @@ export const imageMetadataMethods = { return { category: target.category, nodeKey: target.node.nodeKey, + targetKey: target.targetKey || `${target.category}:${target.node.nodeKey}`, refKey: this.getMetadataTransferSourceSelectionKey(target.ref), nodeName, nodeId: target.node.nodeId, @@ -2008,10 +2061,11 @@ export const imageMetadataMethods = { const selectedNodes = new Map(); for (const target of selectedTargets) { - let entry = selectedNodes.get(target.node.nodeKey); + const groupKey = target.targetKey || `${target.category}:${target.node.nodeKey}`; + let entry = selectedNodes.get(groupKey); if (!entry) { - entry = { node: target.node, targets: [] }; - selectedNodes.set(target.node.nodeKey, entry); + entry = { node: target.node, category: target.category, targets: [] }; + selectedNodes.set(groupKey, entry); } entry.targets.push(target); } @@ -2281,10 +2335,11 @@ export const imageMetadataMethods = { } const previewRows = this.getMetadataTransferPreviewRows(state); - const previewRowsByNodeKey = new Map(); + const previewRowsByTargetKey = new Map(); for (const row of previewRows) { - if (!previewRowsByNodeKey.has(row.nodeKey)) previewRowsByNodeKey.set(row.nodeKey, []); - previewRowsByNodeKey.get(row.nodeKey).push(row); + const key = row.targetKey || `${row.category}:${row.nodeKey}`; + if (!previewRowsByTargetKey.has(key)) previewRowsByTargetKey.set(key, []); + previewRowsByTargetKey.get(key).push(row); } const collapsedCategories = transfer.collapsedCategories instanceof Set ? transfer.collapsedCategories @@ -2342,8 +2397,10 @@ export const imageMetadataMethods = { `; }).join(''); }; - const renderNode = node => { - const selected = selectedNodeKeys.has(node.nodeKey); + const renderNode = (node, category) => { + const normalizedCategory = normalizeTransferCategory(category || node.category); + const targetKey = node.targetKey || `${normalizedCategory}:${node.nodeKey}`; + const selected = this.isMetadataTransferNodeSelected(selectedNodeKeys, node, normalizedCategory); const scopeLabel = node.isTopLevel ? '' : ` · ${node.subgraphName || node.subgraphId || 'subgraph'}`; @@ -2360,24 +2417,49 @@ export const imageMetadataMethods = { subgraph_name: node.subgraphName, is_top_level: node.isTopLevel, }, 'Right-click to locate this node in the workflow') || ''; - const nodePreviewRows = previewRowsByNodeKey.get(node.nodeKey) || []; + const nodePreviewRows = previewRowsByTargetKey.get(targetKey) + || (previewRowsByTargetKey.get(node.nodeKey) && previewRows.every(r => r.nodeKey === node.nodeKey) ? previewRowsByTargetKey.get(node.nodeKey) : []) + || []; const previewHtml = selected ? nodePreviewRows.length ? this.renderMetadataTransferPreview(nodePreviewRows) : '

No imported LoRAs match the selected activity scope.

' : renderUnselectedPreview(node); + const canLocate = node.nodeId !== undefined && node.nodeId !== null && node.nodeId !== ''; + const locateTooltip = node.isTopLevel === false + ? 'Open this subgraph and center the node in the ComfyUI graph.' + : 'Center this node in the ComfyUI graph.'; + const locateButtonHtml = canLocate + ? ` + + ` + : ''; return `
- +
+ + ${locateButtonHtml} +
${previewHtml}
`; @@ -2388,7 +2470,9 @@ export const imageMetadataMethods = { const nodes = Array.isArray(group.nodes) ? group.nodes : []; const isAvailable = sourceEntries.length === 0 || sourceCategories.has(group.category); const isUnavailable = sourceEntries.length > 0 && !isAvailable; - const selectedCount = nodes.filter(node => selectedNodeKeys.has(node.nodeKey)).length; + const selectedCount = nodes.filter(node => ( + this.isMetadataTransferNodeSelected(selectedNodeKeys, node, group.category) + )).length; const categoryLabel = getCategoryLabel(group.category); const collapsed = collapsedCategories.has(group.category); return ` @@ -2404,7 +2488,7 @@ export const imageMetadataMethods = { ${isUnavailable ? 'No source model' : ''}
- ${collapsed ? '' : `
${nodes.map(renderNode).join('')}
`} + ${collapsed ? '' : `
${nodes.map(node => renderNode(node, group.category)).join('')}
`} `; }).join('') @@ -2412,11 +2496,17 @@ export const imageMetadataMethods = { const mode = normalizeTransferMode(transfer.mode); const activityScope = normalizeTransferActivityScope(transfer.activityScope); - const allTargetNodes = targetGroups.flatMap(group => group.nodes || []); - const allTargetNodeKeys = new Set(allTargetNodes.map(node => node.nodeKey)); - const selectedTargetCount = Array.from(selectedNodeKeys) - .filter(nodeKey => allTargetNodeKeys.has(nodeKey)) - .length; + const allTargetNodes = targetGroups.flatMap(group => ( + (group.nodes || []).map(node => ({ + node, + category: group.category, + targetKey: node.targetKey || `${group.category}:${node.nodeKey}`, + })) + )); + const allTargetKeys = new Set(allTargetNodes.map(item => item.targetKey)); + const selectedTargetCount = allTargetNodes.filter(item => ( + this.isMetadataTransferNodeSelected(selectedNodeKeys, item.node, item.category) + )).length; const selectionSourceText = sourceEntries.length ? countText(sourceEntries.length, 'metadata model') : 'No source workflow imported'; @@ -2486,7 +2576,7 @@ export const imageMetadataMethods = { `).join('')}
- ${selectedTargetCount}/${allTargetNodeKeys.size} + ${selectedTargetCount}/${allTargetKeys.size}
@@ -2615,9 +2705,14 @@ export const imageMetadataMethods = { state.transfer.targetModels = targetModels; state.transfer.targetGroups = this.getMetadataTransferTargetGroups(targetModels); const targetNodeKeys = new Set( - state.transfer.targetGroups.flatMap(group => ( - (group.nodes || []).map(node => node.nodeKey) - )) + state.transfer.targetGroups.flatMap(group => { + const category = normalizeTransferCategory(group.category); + return (group.nodes || []).flatMap(node => [ + node.targetKey, + node.targetKey || `${category}:${node.nodeKey}`, + node.nodeKey, + ]).filter(Boolean); + }) ); state.transfer.selectedNodeKeys = new Set( Array.from(state.transfer.selectedNodeKeys || []) @@ -2660,19 +2755,38 @@ export const imageMetadataMethods = { this.renderMetadataTransferPanelInPlace(); }, - toggleMetadataTransferNode(nodeKey) { + toggleMetadataTransferNode(key, category = '') { const state = getImageInspectorState(this); - if (!state.transfer || !nodeKey) return; - const nodeGroups = (state.transfer.targetGroups || []) - .flatMap(group => group.nodes || []) - .filter(node => node.nodeKey === String(nodeKey)); - if (!nodeGroups.length) return; + if (!state.transfer || !key) return; + const normalizedKey = String(key).trim(); + const normalizedCategory = normalizeTransferCategory(category); + const targetNodes = (state.transfer.targetGroups || []).flatMap(group => { + const groupCategory = normalizeTransferCategory(group.category); + return (group.nodes || []).map(node => { + const targetKey = node.targetKey || (groupCategory && node.nodeKey ? `${groupCategory}:${node.nodeKey}` : node.nodeKey); + return { node, category: groupCategory, targetKey }; + }); + }); + const matched = targetNodes.find(item => item.targetKey === normalizedKey) + || (normalizedCategory + ? targetNodes.find(item => item.category === normalizedCategory && item.node.nodeKey === normalizedKey) + : null) + || targetNodes.find(item => item.node.nodeKey === normalizedKey); + if (!matched) return; + + const effectiveKey = (targetNodes.some(item => item.targetKey === normalizedKey)) + ? normalizedKey + : (normalizedCategory && matched.node.nodeKey === normalizedKey + ? `${normalizedCategory}:${matched.node.nodeKey}` + : normalizedKey); const selected = new Set(state.transfer.selectedNodeKeys || []); - if (selected.has(String(nodeKey))) { - selected.delete(String(nodeKey)); + if (selected.has(effectiveKey)) { + selected.delete(effectiveKey); + } else if (selected.has(matched.node.nodeKey) && effectiveKey !== matched.node.nodeKey) { + selected.delete(matched.node.nodeKey); } else { - selected.add(String(nodeKey)); + selected.add(effectiveKey); } state.transfer.selectedNodeKeys = selected; this.renderMetadataTransferPanelInPlace(); @@ -2759,7 +2873,7 @@ export const imageMetadataMethods = { for (const group of transfer.targetGroups || []) { const category = normalizeTransferCategory(group.category); for (const node of group.nodes || []) { - if (!selectedNodeKeys.has(node.nodeKey)) continue; + if (!this.isMetadataTransferNodeSelected(selectedNodeKeys, node, category)) continue; for (const ref of node.refs || []) { const refKey = ref.transferKey || this.getMetadataTransferSourceSelectionKey(ref); if (targetRefKeys.has(refKey)) continue; @@ -2779,7 +2893,13 @@ export const imageMetadataMethods = { } else { sourceIndexes.set(category, sourceIndex + 1); } - const target = { category, node, ref, activityScope }; + const target = { + category, + node, + ref, + activityScope, + targetKey: node.targetKey || `${category}:${node.nodeKey}`, + }; target.acceptedFileTypes = this.getMetadataTransferAcceptedFileTypes(target); target.compatibleSources = this.getMetadataTransferCompatibleSourcesForTarget( target,