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.
- Introduced global state memory (`global_source_frame_count`, `global_target_frames`, `global_stride`) in `loop.py`.
- Removed visual `source_frame_count` wire from `AutoLoopCalculator` in `video.py`
- Upgraded `AutoLoopCalculator` to execute as a blind "Explorer" in Cycle 0.
- Updated `LoadVideoWithSourceAudio` to intercept real `source_frame_count` directly from VHS payloads.
- Added dynamic calculation of total cycles based on intercepted frames at the end of Cycle 0.
- Update WanFrameValidator to dynamically calculate skip_frames based on current_loop_index.
- Update LoadVideoWithSourceAudio to extract and output the first frame safely.
- Add total_loops tracking and detailed debug logs to SequentialLoopStart.
- Add total_loops to SessionImageReceiver and SessionImageSender for progressive tracking.
- Enhance print logs with visible Spanish banners across modified nodes.
- `loop.py`: Added check for `trigger_dependency` in `SequentialLoopTrigger.trigger_next`.
- `image.py`: Added checks for `generated_images` and `current_loop_index` in `SessionImageSender.set_image`.
- `video.py`: Added list-aware checks for `trigger` and `current_loop_index` in `IncrementalVideoStitcher.stitch_incremental` due to `INPUT_IS_LIST = True`.
All validations throw a `ValueError` with clear Spanish instructions when inputs are missing to provide immediate user feedback on the ComfyUI canvas.
Replaced loop.py and image.py, and updated video.py to fix the 'reverse cache'
issue by injecting the new index directly into the ComfyUI API JSON payload.
Added large debug banners in Spanish, PNG keyframe extraction, and progressive MP4 saving.
- Replaced existing SequentialLoopTrigger logic.
- Added dictionary scanning to intercept the queue POST JSON payload.
- Injects a new 32-bit random integer (`0xffffffff` max) into any node possessing `seed` or `noise_seed` in its inputs.
- Preserves the sequential auto-queue logic but now guarantees the sampler processes a new generation instead of instantly returning cached results in subsequent loops.
This resolves aggressive caching bugs in newer ComfyUI versions.
Replaced float("NaN") with time.time() in image.py and loop.py
to ensure stateful memory/trigger nodes consistently fire.
- 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.
Meisoftcoltd