- Updated `SessionImageSender` to conditionally save keyframe only when not in the final cycle.
- Updated `IncrementalVideoStitcher` to return full concatenated tensor when in the final cycle, avoiding dummy frame output and blocking downstream nodes.
- Expose `IS_FINAL_CYCLE` boolean from `IncrementalVideoStitcher` to UI for downstream conditionals.
- Added Spanish documentation block to `README.md` explaining how to use the new `bbox_detector` port with Impact Pack.
- Added English documentation block to `README_EN.md` with the same instructions.
- Fixed tuple index extraction (`res[0]`) for `SEGS` object in bbox_detector.
- Silenced Ultralytics/YOLO console spam by wrapping detection logic in `redirect_stdout`.
- Upgraded the `while True:` loop to a `for` loop with `tqdm` for a clean progress bar, while preserving the RGB frame conversion logic for accuracy.
- Patches `AutoLoopCalculator` in `video.py` to add base proportional adjustment without VAE constraints.
- Patches `AutoLoopCalculatorLTX` in `loop.py` to enforce the strict 8n + 1 frame rule for LTX models, matching its calculation mathematically correctly for proportional chunking.
- Fixes `__pycache__` to be excluded correctly.
- Add optional `bbox_detector` input to `VideoAnalyzerWithAudio`.
- Implement GPU-accelerated face detection using external BBOX_DETECTOR models.
- Support both ImpactPack and standard ONNX bounding box output formats.
- Retain CPU-based OpenCV face detection as a fallback.
- Rename node in UI to "🕵️ Video Analyzer Face detector + Audio".
- Update README.md and README_EN.md to reflect new architecture and wiring.
- Renamed `ResTool32xLTX` to `ResTool64xLTX` and updated DIVISOR to 64 to prevent odd-dimension `ValueError`s when using latent downscale factors of 2.0 (IC-LoRA).
- Updated visual node name in `__init__.py` to accurately reflect the 64x divisor behavior to avoid technical debt.
- Updated documentation in `README.md` and `README_EN.md` to reflect the rename and explain the downscale compatibility logic.
- Implemented `AutoLoopCalculatorLTX` node to enforce `8n + 1` frame chunks.
- Added `ResTool32xLTX` node for strict 32x divisible resolutions with proper minimum pixel scaling.
- Updated `IncrementalVideoStitcher` (in `image.py`) to correctly subtract the overlapping anchor frame from global frame progression when LTX mode is active.
- Added `global_ltx_mode` reset in `SequentialLoopStart` to prevent state leakage to other non-LTX workflows.
- Registered nodes in `__init__.py` and updated `README.md` & `README_EN.md` with new features.
- Added AutoFPSLimiter class in `tools.py` to calculate `select_every_nth` and proportional `new_fps`.
- Registered `AutoFPSLimiter` in `__init__.py` under NODE_DISPLAY_NAME_MAPPINGS.
- Updated `README.md` and `README_EN.md` Architecture sections with details about the new node.
Changed the output type for the video path in the VideoAnalyzerWithAudio
node from STRING to `*` to allow for flexible wildcard connections in
ComfyUI. Also updated the return name to video_path to accurately
reflect the output variable.
- Moved port configuration from `SequentialLoopTrigger` to `SequentialLoopStart` to act as the single source of truth.
- Added a pre-flight check in `SequentialLoopStart` that pings the ComfyUI API endpoint `/system_stats` with a 2-second timeout.
- Aborts workflow execution immediately via `ValueError` if the port is incorrect or unreachable, saving hours of processing time by failing fast instead of at the end of the batch.
- Configured `SequentialLoopTrigger` to silently read `global_server_port` rather than requiring it as a node input.
- Ensured console debug logs remain cleanly formatted in Spanish to match user expectations.
- Añadida sección detallada sobre la nueva característica de Auto-Limpieza de VRAM en SequentialLoopTrigger.
- Añadidos detalles en Changelog (v1.5.3) en los README en español e inglés.
- Añadir las dependencias gc, torch y comfy.model_management en loop.py.
- Implementar vaciado profundo de VRAM al finalizar la generación de frames en el método trigger_next.
- Asegurar reinicio del contador global_accumulated_frames.
- Incluir soporte multiplataforma para el vaciado de cachés de PyTorch (CUDA, ROCm y MPS para Mac).
- Improve error handling in video.py to capture and display Torchaudio exceptions.
- Add explicit list of dependencies in requirements.txt.
- Introduce install.py for automated installation of Python and OS dependencies (FFmpeg).
- Complete redesign of Spanish and English READMEs with v1.5.2 Changelog, new features, and professional workflow setup.
Updated the `VideoAnalyzerWithAudio` node in `video.py` to match the exact behavior of `VHS_LoadVideo`. By removing the wildcard (`*`) hack and providing a valid tuple with a local file list alongside `{"forceInput": False, "video_upload": True}`, the node now officially renders a standard ComfyUI file uploader widget that can be cleanly converted to a `STRING` input via right-click ("Convert video to input").
Also retained the absolute `VALIDATE_INPUTS` shield returning `True`, guaranteeing dynamic wire inputs (e.g. from YTDLP) won't cause ComfyUI execution queue validation errors when dealing with paths generated at runtime. Cleaned up internal list unpacking hacks in `IS_CHANGED` and `analyze` since standard strings are now properly passed.
Replaced the strict 'STRING' input type with the '*' wildcard in `VideoAnalyzerWithAudio`. This bypasses ComfyUI's strict type checking for the input port, allowing downloading nodes (like YTDPL) that output custom types (e.g., `VIDEO_PATH` or `PATH`) to connect seamlessly. Updated `VALIDATE_INPUTS` comments to reflect its role as a 'Total Shield' for bypassing dynamic path validation.
Deleted `opt_video_path` parameter and the strict `VALIDATE_INPUTS` classmethod in `VideoAnalyzerWithAudio`. ComfyUI was validating the cached manual widget value before downstream dynamic nodes could finish processing strings. Routing everything directly through a single `video` input and completely removing `VALIDATE_INPUTS` properly delegates execution dependency to ComfyUI's native graph path order.
Implemented a hybrid validation logic in the `VALIDATE_INPUTS` method of `VideoAnalyzerWithAudio`.
This bypasses the strict `os.path.exists()` check if the optional dynamic input (`opt_video_path`) is connected, allowing ComfyUI to start the workflow and wait for upstream nodes (like downloaders) to create the file at runtime.
Strict physical file validation is maintained for the standard manual video upload widget.
Added an optional `opt_video_path` string input (with `forceInput: True`) to the `VideoAnalyzerWithAudio` node. This allows the node to receive a video path from another upstream node physically via a wire connection, bypassing the default file upload widget when connected. The `IS_CHANGED`, `VALIDATE_INPUTS` and `analyze` methods were uniformly updated to intercept and prioritize this new optional input.
Update `VideoAnalyzerWithAudio` in `video.py` to support absolute paths for the `video_name` parameter. The node's `IS_CHANGED`, `VALIDATE_INPUTS`, and `analyze` methods have been modified to first check if the provided path exists directly using `os.path.exists()`. If it does, it uses the path directly, enabling the use of absolute paths. Otherwise, it falls back to the default `folder_paths.get_annotated_filepath()`.
- Register `AutoLoopCalculatorWan` with its visual display name in `__init__.py`.
- Append `AutoLoopCalculatorWan` class definition to `video.py`.
- The new node enforces strict truncation in multiples of 4 to prevent 3D VAE crashes on the WanVideo model while skipping asymmetric trailing frames.
- Changed validate_face to detect_faces parameter in SessionImageSender to skip OpenCV when False.
- Refactored AutoLoopCalculator to use dynamic batch allocation equitably distributing total frames over the number of needed loops.
- Replaced the predefined dropdown list for `base_resolution` in `tools.py` with an open `INT` input (`min`: 128, `max`: 8192, `step`: 8) for the four Resolution Tools.
- Updated `README.md` and `README_EN.md` to reflect the new user interface change.
- Se actualizaron las versiones de 1.5.0 a 1.5.1.
- Se añadió documentación exhaustiva de las entradas (Inputs) y salidas (Outputs) de todos los nodos según el código (`__init__.py`).
- Se introdujo documentación detallada para el nuevo "Escudo de Megapíxeles" (Megapixel Shield) de la suite de Herramientas.
- Se redactó una guía de conexiones limpia para la Arquitectura Híbrida de Identidad.
- Se mantuvo la paridad entre README.md (Español) y README_EN.md (Inglés).
Meisoftcoltd