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Shuyun-Wang
/
M-GDM

Image-to-Image
Diffusers
Safetensors
Model card Files Files and versions
xet
Community
1

Instructions to use Shuyun-Wang/M-GDM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Shuyun-Wang/M-GDM 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("Shuyun-Wang/M-GDM", 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
M-GDM / stage1
5.29 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
Shuyun-Wang's picture
Shuyun-Wang
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  • feature_extractor
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  • scheduler
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  • text_encoder
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  • tokenizer
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  • unet
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  • vae
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  • model_index.json
    541 Bytes
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