Instructions to use EmmanuelMr/ComfyUI_CatVTON_Wrapper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EmmanuelMr/ComfyUI_CatVTON_Wrapper with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EmmanuelMr/ComfyUI_CatVTON_Wrapper", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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Download README.md from EmmanuelMr/ComfyUI_CatVTON_Wrapper: direct link, hf CLI and curl.
- Browser
- Download file 732 Bytes
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https://huggingface.co/EmmanuelMr/ComfyUI_CatVTON_Wrapper/resolve/main/README.md
- Command line
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hf download hf://EmmanuelMr/ComfyUI_CatVTON_Wrapper/README.md
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curl -L -o README.md https://huggingface.co/EmmanuelMr/ComfyUI_CatVTON_Wrapper/resolve/main/README.md
732 Bytes
These are not my models
This repository is just a copy of the models that we have in this ComfyUI_CatVTON_Wrapper ComfyUI Nodes.
The creator of ComfyUI_CatVTON_Wrapper uploaded the models to BaiduNetDisk and GoogleDrive, but for us is better to have them in huggingface (Maybe useful for somebody else too).
NOTE:
Looks that this set of models includes what is in the original repository + some other 2 folders.
So even knowing that, I'm uploading the models here too. Just to have the same models that the creator of the custom nodes uploaded to Google Drive.