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# ComfyUI-RMBG
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A sophisticated ComfyUI custom node engineered for advanced image background removal and precise segmentation of objects, faces, clothing, and fashion elements. This tool leverages a diverse array of models, including RMBG-2.0, INSPYRENET, BEN, BEN2, BiRefNet models, SAM, SAM2 and GroundingDINO, while also incorporating a new feature for real-time background replacement and enhanced edge detection for improved accuracy.
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A sophisticated ComfyUI custom node engineered for advanced image background removal and precise segmentation of objects, faces, clothing, and fashion elements. This tool leverages a diverse array of models, including RMBG-2.0, INSPYRENET, BEN, BEN2, BiRefNet, SDMatte models, SAM, SAM2 and GroundingDINO, while also incorporating a new feature for real-time background replacement and enhanced edge detection for improved accuracy.
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## News & Updates
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- **2025/08/18**: Update ComfyUI-RMBG to **v2.9.0** ( [update.md](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.md#v290-20250818) )
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- Added `SDMatte Matting` node
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- **2025/08/11**: Update ComfyUI-RMBG to **v2.8.0** ( [update.md](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.md#v280-20250811) )
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- Added `SAM2Segment`, node for text-prompted segmentation with the latest Facebook Research SAM2 technology.
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- Added `SAM2Segment` node for text-prompted segmentation with the latest Facebook Research SAM2 technology.
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- Enhanced color widget support across all nodes
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- **2025/08/06**: Update ComfyUI-RMBG to **v2.7.1** ( [update.md](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.md#v271-20250806) )
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- Manually download the Clothes Segment model by visiting the [link](https://huggingface.co/1038lab/segformer_clothes), then download the files and place them in the `/ComfyUI/models/RMBG/segformer_clothes` folder.
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- Manually download the Fashion Segment model by visiting the [link](https://huggingface.co/1038lab/segformer_fashion), then download the files and place them in the `/ComfyUI/models/RMBG/segformer_fashion` folder.
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- Manually download BiRefNet models by visiting the [link](https://huggingface.co/1038lab/BiRefNet), then download the files and place them in the `/ComfyUI/models/RMBG/BiRefNet` folder.
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- Manually download SDMatte safetensors models by visiting the [link](https://huggingface.co/1038lab/SDMatte), then download the files and place them in the `/ComfyUI/models/RMBG/SDMatte` folder.
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## Usage
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### RMBG Node
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- omegaconf>=2.3.0
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- iopath>=0.1.9
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### SDMatte models (manual download)
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- Auto-download on first run to `models/RMBG/SDMatte/`
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- If network restricted, place weights manually:
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- `models/RMBG/SDMatte/SDMatte.safetensors` (standard) or `SDMatte_plus.safetensors` (plus)
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- Components (config files) are auto-downloaded; if needed, mirror the structure from the Hugging Face repo to `models/RMBG/SDMatte/` (`scheduler/`, `text_encoder/`, `tokenizer/`, `unet/`, `vae/`)
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## Troubleshooting (short)
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- 401 error when initializing GroundingDINO / missing `models/sam2`:
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- Delete `%USERPROFILE%\.cache\huggingface\token` (and `%USERPROFILE%\.huggingface\token` if present)
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- Ensure no `HF_TOKEN`/`HUGGINGFACE_TOKEN` env vars are set
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- Re-run; public repos download anonymously (no login required)
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- Preview shows "Required input is missing: images":
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- Ensure image outputs are connected and upstream nodes ran successfully
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## Credits
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- RMBG-2.0: https://huggingface.co/briaai/RMBG-2.0
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- INSPYRENET: https://github.com/plemeri/InSPyReNet
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- SAM: https://huggingface.co/facebook/sam-vit-base
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- GroundingDINO: https://github.com/IDEA-Research/GroundingDINO
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- Clothes Segment: https://huggingface.co/mattmdjaga/segformer_b2_clothes
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- SDMatte: https://github.com/vivoCameraResearch/SDMatte
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- Created by: [AILab](https://github.com/1038lab)
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## License
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GPL-3.0 License
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