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dhlee3000
/
music2dance_cont

Image-to-Video
Diffusers
ONNX
Safetensors
VAE
human-animation
Model card Files Files and versions
xet
Community

Instructions to use dhlee3000/music2dance_cont with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use dhlee3000/music2dance_cont with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    from diffusers.utils import load_image, export_to_video
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("dhlee3000/music2dance_cont", dtype=torch.bfloat16, device_map="cuda")
    pipe.to("cuda")
    
    prompt = "A man with short gray hair plays a red electric guitar."
    image = load_image(
        "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png"
    )
    
    output = pipe(image=image, prompt=prompt).frames[0]
    export_to_video(output, "output.mp4")
  • Notebooks
  • Google Colab
  • Kaggle
music2dance_cont
60.7 GB
Ctrl+K
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  • 1 contributor
History: 5 commits
dhlee3000's picture
dhlee3000
Update README.md
fb5b2b4 verified 7 months ago
  • Animation
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  • stable-video-diffusion-img2vid-xt
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  • .gitattributes
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  • README.md
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  • config.json
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  • inference.zip

    Pickle imports

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    87.3 MB
    xet
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