Comfyui-CatVTON
Comfyui-CatVTON This repository is the modified official Comfyui node of CatVTON, which is a simple and efficient virtual try-on diffusion model with 1) Lightweight Network (899.06M parameters totally), 2) Parameter-Efficient Training (49.57M parameters trainable) 3) Simplified Inference (< 8G VRAM for 1024X768 resolution). The original GitHub project is [a/https://github.com/Zheng-Chong/CatVTON](https://github.com/Zheng-Chong/CatVTON)
How much VRAM does Comfyui-CatVTON require?
Direct Answer: The ComfyUI node Comfyui-CatVTON 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-CatVTON?
Direct Answer: Running Comfyui-CatVTON requires installing the following Python package dependencies: accelerate, black, cloudpickle, diffusers, future, fvcore, huggingface_hub, hydra-core, iopath, matplotlib, ninja==1.11.1.1, numpy, omegaconf, opencv_python, pillow, pycocotools, pydot, pyyaml, scikit-image, scipy, setuptools, tabulate, tensorboard, termcolor, tqdm, transformers, xformers, yacs. Ensure your ComfyUI environment has these packages active before launching.
accelerate
black
cloudpickle
diffusers
future
fvcore
huggingface_hub
hydra-core
iopath
matplotlib
ninja==1.11.1.1
numpy
omegaconf
opencv_python
pillow
pycocotools
pydot
pyyaml
scikit-image
scipy
setuptools
tabulate
tensorboard
termcolor
tqdm
transformers
xformers
yacsInteractive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does Comfyui-CatVTON require?
Comfyui-CatVTON 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-CatVTON 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 Python packages are required for Comfyui-CatVTON?
To run Comfyui-CatVTON, you need to install: accelerate, black, cloudpickle, diffusers, future, fvcore, huggingface_hub, hydra-core, iopath, matplotlib, ninja==1.11.1.1, numpy, omegaconf, opencv_python, pillow, pycocotools, pydot, pyyaml, scikit-image, scipy, setuptools, tabulate, tensorboard, termcolor, tqdm, transformers, xformers, yacs. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running Comfyui-CatVTON?
Comfyui-CatVTON 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-CatVTON in ComfyUI?
To install Comfyui-CatVTON: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/pzc163/Comfyui-CatVTON, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.