ComfyUI-IDM-VTON [WIP]
ComfyUI adaptation of [a/IDM-VTON](https://github.com/yisol/IDM-VTON) for virtual try-on.
How much VRAM does ComfyUI-IDM-VTON [WIP] require?
Direct Answer: The ComfyUI node ComfyUI-IDM-VTON [WIP] 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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Deploy on Cloud GPUs
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What Python packages are required for ComfyUI-IDM-VTON [WIP]?
Direct Answer: Running ComfyUI-IDM-VTON [WIP] requires installing the following Python package dependencies: accelerate==0.30.0, bitsandbytes==0.42, diffusers==0.27.2, einops==0.8.0, opencv-python, scipy==1.13.0, torch, torchaudio, torchmetrics==1.4.0, torchvision, tqdm==4.66.4, transformers==4.40.2. Ensure your ComfyUI environment has these packages active before launching.
accelerate==0.30.0
bitsandbytes==0.42
diffusers==0.27.2
einops==0.8.0
opencv-python
scipy==1.13.0
torch
torchaudio
torchmetrics==1.4.0
torchvision
tqdm==4.66.4
transformers==4.40.2Interactive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI-IDM-VTON [WIP] require?
ComfyUI-IDM-VTON [WIP] 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-IDM-VTON [WIP] 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-IDM-VTON [WIP] need?
ComfyUI-IDM-VTON [WIP] requires the following PyTorch-related packages: torch, torchaudio, torchmetrics==1.4.0, torchvision. 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-IDM-VTON [WIP]?
To run ComfyUI-IDM-VTON [WIP], you need to install: accelerate==0.30.0, bitsandbytes==0.42, diffusers==0.27.2, einops==0.8.0, opencv-python, scipy==1.13.0, torch, torchaudio, torchmetrics==1.4.0, torchvision, tqdm==4.66.4, transformers==4.40.2. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI-IDM-VTON [WIP]?
ComfyUI-IDM-VTON [WIP] 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-IDM-VTON [WIP] in ComfyUI?
To install ComfyUI-IDM-VTON [WIP]: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/TemryL/ComfyUI-IDM-VTON, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.