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mkddatascience
/
IDM-VTON

Image-to-Image
Diffusers
ONNX
Safetensors
StableDiffusionXLInpaintPipeline
stable-diffusion-xl
inpainting
virtual try-on
Model card Files Files and versions
xet
Community

Instructions to use mkddatascience/IDM-VTON with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use mkddatascience/IDM-VTON with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    from diffusers.utils import load_image
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("mkddatascience/IDM-VTON", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Turn this cat into a dog"
    input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
    
    image = pipe(image=input_image, prompt=prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
IDM-VTON / vae
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
mkddatascience's picture
mkddatascience
Upload IDM-VTON model from yisol/IDM-VTON
864a882 verified 7 months ago
  • config.json
    659 Bytes
    Upload IDM-VTON model from yisol/IDM-VTON 7 months ago
  • diffusion_pytorch_model.safetensors
    335 MB
    xet
    Upload IDM-VTON model from yisol/IDM-VTON 7 months ago