ComfyUI_BiRefNet_Universal
A comprehensive node package that seamlessly integrates all BiRefNet series models into ComfyUI
How much VRAM does ComfyUI_BiRefNet_Universal require?
Direct Answer: The ComfyUI node ComfyUI_BiRefNet_Universal requires a minimum base VRAM of 128MB and is optimized for GPUs with at least 4GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.
- Base VRAM:
- 128MB (0.1GB)
- Recommended GPU:
- 4GB+ VRAM
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- MEDIUM
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_BiRefNet_Universal?
Direct Answer: Running ComfyUI_BiRefNet_Universal requires installing the following Python package dependencies: accelerate, einops, huggingface-hub>0.25, kornia, numpy<2, opencv-python, prettytable, scikit-image, scipy, timm, torch>=2.5.0, torchvision>=0.20.0, tqdm, transformers. This node specifically requires PyTorch version 2.5.0 or newer.
accelerate
einops
huggingface-hub>0.25
kornia
numpy<2
opencv-python
prettytable
scikit-image
scipy
timm
torch>=2.5.0
torchvision>=0.20.0
tqdm
transformersInteractive Setup & Dependency Resolver
# Loading command...Special Environment Requirements:
Requires PyTorch version 2.5.0+.
# Loading PyTorch command...Frequently Asked Questions
How much VRAM does ComfyUI_BiRefNet_Universal require?
ComfyUI_BiRefNet_Universal requires a minimum of 128MB (0.1GB) 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_BiRefNet_Universal on an RTX 3060, RTX 4070, or RTX 4090?
✅ RTX 3060 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.3GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.5GB headroom
What PyTorch version does ComfyUI_BiRefNet_Universal need?
ComfyUI_BiRefNet_Universal requires the following PyTorch-related packages: torch>=2.5.0, torchvision>=0.20.0. 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_BiRefNet_Universal?
To run ComfyUI_BiRefNet_Universal, you need to install: accelerate, einops, huggingface-hub>0.25, kornia, numpy<2, opencv-python, prettytable, scikit-image, scipy, timm, torch>=2.5.0, torchvision>=0.20.0, tqdm, transformers. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI_BiRefNet_Universal?
ComfyUI_BiRefNet_Universal 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_BiRefNet_Universal in ComfyUI?
To install ComfyUI_BiRefNet_Universal: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/moon7star9/ComfyUI_BiRefNet_Universal, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.