This commit introduces the Hybrid Identity Architecture's Dynamic Engine:
- `tools.py`: Adds new Math constraint nodes (`ResTool 8x, 16x, 32x, 64x`) to calculate safe resolutions dynamically, preventing VRAM overflow.
- `loop.py`: Replaces the legacy static mathematical state machine with a dynamic performance-based state using `global_accumulated_frames` to progress accurately based on successful generations.
- `image.py`: Overhauls `SessionImageSender` to dynamically truncate generated image tensors using OpenCV if faces are lost, saving the last valid frame, and correctly adjusting the loop progression. `SessionImageReceiver` updated to log dynamic progression.
- `video.py`: Refactors `AutoLoopCalculator` and `IncrementalVideoStitcher` to work under the new dynamic state machine logic.
- `__init__.py`: Registered new nodes, updated imports to include `tools`, and bumped version to v1.5.0.
- `README.md` & `README_EN.md`: Updated documentation to detail the new Dynamic Engine functionality and Tools suite.
This commit introduces a new `tools.py` module containing a `BaseResolutionTool` and its specific derived classes (`ResTool8x`, `ResTool16x`, `ResTool32x`, `ResTool64x`). These nodes calculate safe, model-specific dimensions that strictly conform to divisibility rules using provided aspect ratios and base resolutions.
The `__init__.py` file is updated to import and register these tools along with emojis for UI display. Both the English and Spanish READMEs are updated to document the new `Tools` suite.
- Replaces LoadVideoWithSourceAudio with VideoAnalyzerWithAudio (the "Explorer").
- Introduces OpenCV-based frame scanning to detect sharp and frontal faces.
- Updates AutoLoopCalculator (the "Brain") to utilize safe_faces_list for asymmetric intelligent cuts.
- Updates __init__.py to register the new node correctly with the corresponding display name mapping ("🕵️ Video Analyzer + Audio").
- Se reimplementó `LoadVideoWithSourceAudio` para envolver adecuadamente `VHS_LoadVideo`, añadiendo la directiva de UI "video_upload", y métodos para la verificación de cambios (IS_CHANGED, VALIDATE_INPUTS) mientras se conserva el widget de UI.
- Se ha expuesto explícitamente `INPUT_IS_LIST = False` en `IncrementalVideoStitcher` para forzar el tratamiento de imágenes como tensores puros.
- El passthrough de audio en `IncrementalVideoStitcher` ya funciona correctamente de forma predeterminada sin cambios adicionales.
- Se agregó el nuevo alias de nodo en `__init__.py` para su registro en ComfyUI.
- Delete deprecated modules: `sequence.py`, `paths.py`, `batch.py`, `debug.py`.
- Clean `image.py`, retaining only SessionImageReceiver, SessionImageSender, and auxiliary function.
- Clean `video.py`, retaining only IncrementalVideoStitcher and WanFrameValidator.
- Clean `loop.py`, retaining only SequentialLoopStart and SequentialLoopTrigger.
- Rewrite `__init__.py` mapping explicitly to the 6 core components and bump version to 1.0.0.
- Add `SequentialLoopStart` and `SequentialLoopTrigger` nodes in `loop.py`.
- Manage global loop index for memory persistence across cycles.
- Implement auto-queue HTTP POST trigger using local ComfyUI API `/prompt`.
- Add non-blocking timeout of 5s on urllib requests.
- Register new nodes in `__init__.py` under NODE_DISPLAY_NAME_MAPPINGS.
- Added WanFrameValidator node in video.py to ensure 4k+1 frame logic.
- Registered WanFrameValidator in __init__.py with "WanFrameValidator": "🛡️ Wan Frame Validator".
- Updated both README.md and README_ES.md to document the Wan Frame Validator.
- Modified SessionImageReceiver and SessionImageSender in image.py to return a UI object mapping for Visual UI Debugging in ComfyUI frontend.
- Added `SessionImageSender` to save the last frame of an image batch (using `.clone()` to safely decouple the tensor) into a global session variable.
- Added `SessionImageReceiver` to inject the stored image into the start of the next workflow execution cycle.
- Both nodes utilize `IS_CHANGED` returning `NaN` to force execution on every Auto Queue tick.
- Updated `__init__.py` to register the new nodes under the display names "📤 Session Image Sender" and "📥 Session Image Receiver".
- Ensures users can chain frame sequences across independent batch loops without creating cyclic dependencies in ComfyUI.
Add IncrementalVideoStitcher to seamlessly join video chunks generated by ComfyUI during Auto Queue cycles.
The node operates efficiently by looking for intermediate chunks generated so far using the supplied video prefix and joining them without re-encoding via FFmpeg.
Registered as "🎞️ Incremental Auto-Stitcher" in the NODE_DISPLAY_NAME_MAPPINGS.
- Created `video.py` introducing the `FFmpegVideoStitcher` node to concatenate video chunks generated via sequential batch loops.
- Registered the node into ComfyUI's standard mapping dictionaries in `__init__.py`.
- Added check for FFmpeg installation using `shutil.which` and raising a ComfyUI-friendly error if it's missing.
- Updated node output file saving logic to utilize ComfyUI's native `folder_paths.get_output_directory()`.
- Revised `README.md` and `README_ES.md` with explicit instructions on how to set up the workflow (VHS Combine integration) and provided warnings emphasizing the need for `easy cleanGpuUsed` after VAE decoders to prevent PyTorch OOM exceptions during iterative batching loops.
- Implemented a text-based table formatter for batches.
- Updated Load CSV node to show a table preview in the workflow.
- Added a new Preview Batch node for visualizing any batch data.
- Added a JavaScript extension to handle node visualization.
- Updated English and Spanish documentation.
- Renamed all 'Job' terminology to 'Batch' across the codebase.
- Renamed job.py to batch.py.
- Added LoadCSV node to support loading batch parameters from CSV files.
- Maintained backward compatibility for existing workflows using legacy names.
- Updated README.md and README_ES.md with new version and documentation.
- Fixed a potential index-out-of-bounds bug in GetBatchStep clamping logic.
Meisoftcoltd