ComfyUI-RMBG
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, and GroundingDINO, while also incorporating a new feature for real-time background replacement and enhanced edge detection for improved accuracy.
How much VRAM does ComfyUI-RMBG require?
Direct Answer: The ComfyUI node ComfyUI-RMBG requires a minimum base VRAM of 256MB and is optimized for GPUs with at least 4GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.
- Base VRAM:
- 256MB (0.3GB)
- Recommended GPU:
- 4GB+ VRAM
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- HIGH
Interactive VRAM Compatibility Estimator
Your GPU has plenty of headroom. You can run this node safely with your active configurations!
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What Python packages are required for ComfyUI-RMBG?
Direct Answer: Running ComfyUI-RMBG requires installing the following Python package dependencies: decord, diffusers>=0.18.0, ftfy, groundingdino-py>=0.4.0, huggingface-hub>=0.19.0, hydra-core>=1.3.0, iopath>=0.1.9, omegaconf>=2.3.0, onnxruntime>=1.15.0, onnxruntime-gpu>=1.15.0, opencv-python>=4.7.0, protobuf>=3.20.2,<6.0.0, segment-anything>=1.0, transformers>=4.30.0, transparent-background>=1.1.2, typing_extensions. Ensure your ComfyUI environment has these packages active before launching.
decord
diffusers>=0.18.0
ftfy
groundingdino-py>=0.4.0
huggingface-hub>=0.19.0
hydra-core>=1.3.0
iopath>=0.1.9
omegaconf>=2.3.0
onnxruntime>=1.15.0
onnxruntime-gpu>=1.15.0
opencv-python>=4.7.0
protobuf>=3.20.2,<6.0.0
segment-anything>=1.0
transformers>=4.30.0
transparent-background>=1.1.2
typing_extensionsInteractive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI-RMBG require?
ComfyUI-RMBG requires a minimum of 256MB (0.3GB) of VRAM for base operation. For optimal performance, a GPU with at least 4GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.
Can I run ComfyUI-RMBG on an RTX 3060, RTX 4070, or RTX 4090?
✅ RTX 3060 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.2GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.4GB headroom
What Python packages are required for ComfyUI-RMBG?
To run ComfyUI-RMBG, you need to install: decord, diffusers>=0.18.0, ftfy, groundingdino-py>=0.4.0, huggingface-hub>=0.19.0, hydra-core>=1.3.0, iopath>=0.1.9, omegaconf>=2.3.0, onnxruntime>=1.15.0, onnxruntime-gpu>=1.15.0, opencv-python>=4.7.0, protobuf>=3.20.2,<6.0.0, segment-anything>=1.0, transformers>=4.30.0, transparent-background>=1.1.2, typing_extensions. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI-RMBG?
ComfyUI-RMBG supports low VRAM mode. To reduce memory usage: (1) Enable --lowvram or --medvram flags in ComfyUI, (2) Reduce batch size to 1, (3) Use fp16 or fp8 precision if supported, (4) Close other GPU applications.
How do I install ComfyUI-RMBG in ComfyUI?
To install ComfyUI-RMBG: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/1038lab/ComfyUI-RMBG, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.