ComfyUI-Vton-Mask
A lightweight ComfyUI custom node for generating high-quality masks and pose detection for virtual try-on applications. This node extracts only the essential masking functionality from FitDiT without requiring heavy diffusion models.
VRAM Requirements
Direct Answer: The ComfyUI node ComfyUI-Vton-Mask 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!
Deploy on High-Performance GPUs
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Deploy on Cloud GPUs
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Python Dependencies
Direct Answer: Running ComfyUI-Vton-Mask requires installing the following Python package dependencies: huggingface_hub>=0.16.0, numpy>=1.21.0, onnxruntime>=1.8.0, opencv-python>=4.5.0, pillow>=8.0.0, scikit-image>=0.18.0, torch>=1.9.0, torchvision>=0.10.0, tqdm>=4.62.0, transformers>=4.20.0. This node specifically requires PyTorch version 1.9.0 or newer.
huggingface_hub>=0.16.0
numpy>=1.21.0
onnxruntime>=1.8.0
opencv-python>=4.5.0
pillow>=8.0.0
scikit-image>=0.18.0
torch>=1.9.0
torchvision>=0.10.0
tqdm>=4.62.0
transformers>=4.20.0🛠️ Interactive Setup & Dependency Resolver
# Loading command...⚠️ Special Environment Requirements:
Requires PyTorch version 1.9.0+.
# Loading PyTorch command...