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FlashStight
/
Mobile-VTON

Image-to-Image
Diffusers
Safetensors
virtual-try-on
diffusion
computer-vision
image-generation
vton
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use FlashStight/Mobile-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("FlashStight/Mobile-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
Mobile-VTON
3.76 GB
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  • 1 contributor
History: 5 commits
FlashStight's picture
FlashStight
Update README.md
0063147 verified about 2 months ago
  • assets
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  • checkpoint
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  • .gitattributes
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  • README.md
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    Update README.md about 2 months ago