ComfyUI-SDMatte
SDMatte is an interactive image matting method based on stable diffusion, which supports three types of visual prompts (points, boxes, and masks) for accurately extracting target objects from natural images.
How much VRAM does ComfyUI-SDMatte require?
Direct Answer: The ComfyUI node ComfyUI-SDMatte 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-SDMatte?
Direct Answer: Running ComfyUI-SDMatte requires installing the following Python package dependencies: diffusers>=0.25.0, easydict>=1.10, einops>=0.7.0, fvcore>=0.1.5.post20221221, omegaconf>=2.3.0, opencv-python>=4.8.0, safetensors>=0.4.0, timm>=0.9.7, torchvision>=0.16.0, transformers>=4.38.0. Ensure your ComfyUI environment has these packages active before launching.
diffusers>=0.25.0
easydict>=1.10
einops>=0.7.0
fvcore>=0.1.5.post20221221
omegaconf>=2.3.0
opencv-python>=4.8.0
safetensors>=0.4.0
timm>=0.9.7
torchvision>=0.16.0
transformers>=4.38.0Interactive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI-SDMatte require?
ComfyUI-SDMatte 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-SDMatte 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 PyTorch version does ComfyUI-SDMatte need?
ComfyUI-SDMatte requires the following PyTorch-related packages: torchvision>=0.16.0. Ensure your ComfyUI environment has these installed. Ensure your PyTorch installation matches your CUDA version (use torch.version.cuda to check).
What Python packages are required for ComfyUI-SDMatte?
To run ComfyUI-SDMatte, you need to install: diffusers>=0.25.0, easydict>=1.10, einops>=0.7.0, fvcore>=0.1.5.post20221221, omegaconf>=2.3.0, opencv-python>=4.8.0, safetensors>=0.4.0, timm>=0.9.7, torchvision>=0.16.0, transformers>=4.38.0. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI-SDMatte?
ComfyUI-SDMatte 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-SDMatte in ComfyUI?
To install ComfyUI-SDMatte: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/flybirdxx/ComfyUI-SDMatte, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.