This commit addresses two primary requests:
1. Replaces all console log prefixes `[DEBUG]` (and variations) with `[Secuencial Batcher]`.
2. Extends the `RETURN_TYPES` and `RETURN_NAMES` of all nodes to output a `log` string containing exactly the text emitted via `print()`. This string is constructed by intercepting `print()` calls inside node methods using a local wrapper and appending the texts to a list, which is then returned joined by newlines.
- Removed `PYTORCH_CUDA_ALLOC_CONF` from `__init__.py` to allow elastic VRAM expansion via `expandable_segments:True`.
- Swapped `torch.cuda.empty_cache()` and `torch.cuda.synchronize()` order in `vram_node.py` to ensure pending operations finish before purging cache.
- Added critical warnings in `README.md` and `README_EN.md` discouraging the use of `--highvram` flag when starting ComfyUI to prevent VRAM Defragmenter sabotage.
- Detected OS platform dynamically
- Added `ctypes.windll.kernel32.SetProcessWorkingSetSize` for deep RAM release on Windows
- Retained `malloc_trim` via `libc.so.6` for Linux environments
- Enforced a strict memory cleanup sequence in `MeisoftVRAMDefragmenter` (including IPC cleanup and CUDA synchronization).
- Injected `PYTORCH_CUDA_ALLOC_CONF="max_split_size_mb:128"` in `__init__.py` to prevent VRAM micro-fragmentation.
- Added `unload_detector` option to `VideoAnalyzerWithAudio` to eagerly destroy the face detector model and free VRAM.
- Created `MeisoftVRAMDefragmenter` in `vram_node.py` as a passthrough to force model unloading, Python garbage collection, and CUDA cache defragmentation.
- Registered the new node in `__init__.py`.
- Added light memory cleanup on intermediate batch loops in `loop.py`, alongside a heavy cleanup (including ctypes `malloc_trim`) at the end.
- Added `unload_detector_after_analysis` boolean flag to `VideoAnalyzerWithAudio` in `video.py` to allow releasing the BBOX detector model immediately after use.
Meisoftcoltd