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# ComfyUI-RMBG Update Log
## V3.3.0 (2026/10/20)
### New Nodes
- **Canvas (RMBG)**: An interactive multi-layer image compositing studio built directly into the ComfyUI node canvas:
![Canvas_nodes](https://github.com/user-attachments/assets/3edd69e0-ed9f-4c74-aa85-5aa84bff0ec1)
- **Interactive Stage**: Move, rotate, flip (horizontal/vertical), adjust opacity, and scale layers with 4-corner aspect-locked transform gizmos directly on the visual stage.
- **Dynamic Layer Management**: Clean slot architecture that dynamically expands layer inputs (`layer_1` through `layer_5`) as connections are made, featuring enlarged live preview cards and hover-to-remove actions.
- **Adaptive Canvas Sizing**: Automatically syncs aspect ratio with background inputs or supports free-form width and height scaling (snapped to 8px multiples, 320px–4096px bounds).
- **Alpha Transparency & Full RGBA Pipeline**: True 4-channel RGBA compositing and output when `Background: Alpha` is selected, preserving transparent pixels for downstream preview and save nodes without black background clipping.
- **Merged Foreground Mask**: Automatically composites and outputs an exact single-channel `MASK` covering all active foreground layers for downstream inpainting and matting workflows.
- **VRMBG Video Background Removal (`AILab_VRMBG`)**:
![VRMBG_nodes](https://github.com/user-attachments/assets/c1377e46-3533-423d-9289-0f1647314c48)
- **Flicker-Free Temporal Matting**: First dedicated video matting node designed specifically for sequential video batches and animation frames.
- **Autoregressive State Tracking**: Conditioned on prior frame foreground features to maintain temporal continuity and eliminate boundary flickering across frames.
- **Chunked Video Processing**: Features a `reset_state` toggle allowing creators to feed long videos in consecutive batches without losing temporal continuity.
- **Manual Model Loading**: Automatic download removed in favor of manual placement in `ComfyUI/models/RMBG/VRMBG-3.0/` for full offline control.
- **FeyNoBg Ultra-Fine Matting (`AILab_FeyNoBg`)**:
- **Deepened Swin-L Matting Backbone**: Introduces the 263M parameter FeyNoBg model specializing in boundary reconstruction and complex dichotomous segmentation.
- **Micro-Hair & Semi-Transparent Subjects**: Drastically improves extraction quality on wispy hair, fur, transparent glassware, lace, and motion-blurred edges with zero manual trimap required.
- **Sub-Pixel Foreground Refinement**: Built-in `refine_foreground` ensures clean, halo-free subject boundaries.
- **Finegrain Box Segmenter (`AILab_FinegrainBoxSegment`)**:
![Finegrain Box Segmenter and Floorence-2_nodes](https://github.com/user-attachments/assets/556fb73c-1521-4b4c-bfb6-739bed5c8d90)
- **1024px High-Definition Bounding Box Matting**: Integrates the Swin-B MVANet architecture to perform high-resolution object cutouts using bounding boxes.
- **Florence-2 & YOLO Workflow Integration**: Directly connects with `BBOX` outputs from Florence-2 and YOLO nodes for an end-to-end detection-to-matting pipeline.
- **Fallback Full-Image Mode**: Automatically falls back to high-res subject cutout when no prompt box is connected.
- **Florence-2 Segmentation Enhancement (`AILab_Florence2`)**:
- Added dedicated 4th output `BBOXES` (`BBOX` format) returning parsed bounding box data for direct plug-and-play connection to `Finegrain Box Segmenter`.
- **SAM3 Segmentation Enhancement (`AILab_SAM3Segment`)**:
- Added dedicated 4th output `BBOXES` (`BBOX` format) returning detected bounding box coordinates (`[[x1, y1, x2, y2], ...]`), enabling direct connection to `Finegrain Box Segmenter`, Florence-2 tools, and detection-to-matting workflows.
### Model Downloads & Offline Placement
- **VRMBG-3.0**: Manually download from official [briaai/VRMBG-3.0](https://huggingface.co/briaai/VRMBG-3.0) to `ComfyUI/models/RMBG/VRMBG-3.0/`.
- **FeyNoBg**: Download from [1038lab/FeyNobg](https://huggingface.co/1038lab/FeyNobg) to `ComfyUI/models/RMBG/FeyNoBg/`.
- **Finegrain Box Segmenter**: Download from [1038lab/finegrain-box-segmenter](https://huggingface.co/1038lab/finegrain-box-segmenter) to `ComfyUI/models/RMBG/finegrain-box-segmenter/`.
### Performance & VRAM Optimization
- **RMBG-2.0 Native FP16 Acceleration**: Enabled native FP16 (Half Precision) inference for RMBG-2.0 on CUDA devices, reducing model weights and activation VRAM consumption by >50% while leveraging NVIDIA Tensor Cores for ~2x faster throughput.
- **Video & Batch Processing Stability**:
- Implemented automatic intermediate VRAM clearing per batch chunk during video and long-sequence background removal, eliminating memory fragmentation and preventing GPU timeout (TDR) crashes.
- Enhanced numerical stability on half-precision outputs across RMBG-2.0 and BiRefNet to ensure clean edge matting without transparency artifacts.
- Hardened cleanup lifecycle across RMBG and SAM3 Multiplex nodes.
### Compatibility & Model Architecture
- **Florence-2 Architecture Rewrite**:
- **Why We Changed It**: The original Florence-2 implementation relied on Hugging Face's dynamic remote script execution (`trust_remote_code=True`), which constantly broke or crashed whenever ComfyUI or `transformers` was updated (especially on newer 4.40+ and 5.x releases).
- **Rock-Solid Local Stability**: Rebuilt entirely on a native local PyTorch architecture. It runs 100% offline without remote scripts, eliminating dependency collisions and version-locking issues across different ComfyUI setups.
- **Complete & Accurate Masks**: Fixed the issue where complex polygon masks (e.g. car wheels, full faces) were abruptly cut off mid-generation, now producing complete and precise boundaries.
- **Removed Matplotlib Dependency**: Replaced the heavy external plotting library with native image rendering, cutting unnecessary dependencies, reducing install footprint, and preventing memory leaks.
- **Workflow Quality-of-Life**: Moved `prompt` to the top for intuitive workflow chaining, simplified parameter names, and added an `unload_model` toggle to release GPU memory on demand.
- **YOLO Segmentation (RMBG) Node Overhaul**:
- **Upgraded to YOLO26-seg & YOLO11-seg**: Integrated the state-of-the-art YOLO26 and YOLO11 instance segmentation model families (`yolo26n-seg` through `yolo26x-seg`, plus `yolo11*-seg`), hosted on our Hugging Face repository (`1038lab/YOLO`) with seamless auto-downloading.
- **Native Cutout Output (RGBA)**: Outputs direct transparent cutouts (`Alpha` RGBA) or custom background colors (`Color` RGB) right from the primary `IMAGE` output port, eliminating the need to chain downstream `Mask Applier` nodes.
- **Configurable Annotation Display**: Added `annotation_mode` (`Mask & Box`, `Box Only`, `Mask Only`, `None`) on `ANNOTATED_IMAGE` to flexibly control detection overlays without obstructing workflows.
- **Mask Refinement Suite**: Added built-in edge feathering (`mask_blur`), expansion/contraction (`mask_offset`), and mask inversion (`invert_output`).
- **Foldable Advanced Drawer**: Integrated with `Advanced_nodes.js` to present a clean, minimalist default interface while keeping fine-grained controls easily accessible.
- **Standardized Parameter Naming**: Standardized model selection widget to `model` for full consistency across all 1038lab segmentation nodes.
### Bug Fixes & Stability
- **Image Resize Scaling Factor**: Fixed an issue in `Image Resize` where scaling via `scale_by` squared the factor instead of applying it once (e.g. 512px with 1.2x became 736px instead of 614px). ([#211](https://github.com/1038lab/ComfyUI-RMBG/issues/211))
## V3.2.0 (2026/09/30)
### New Features & Model Upgrades
<img width="800" alt="sm3" src="https://github.com/user-attachments/assets/e01201e2-2871-4a7e-bbbc-2e2930cb2752" />