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bigfacing
/
HY-Video-Avatar2

Image-to-Video
Diffusers
Safetensors
video-generation
audio-driven-animation
avatar
wan
Model card Files Files and versions
xet
Community

Instructions to use bigfacing/HY-Video-Avatar2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use bigfacing/HY-Video-Avatar2 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("bigfacing/HY-Video-Avatar2", 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

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  • 0104_fsdp_low_ct2_600
    Upload 0104 low-noise checkpoint 6 days ago
  • 0115_fs3_emo_1_2600
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  • 0120_fs10_motion_6_1200
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  • 0128_fs10_balanced_4_600
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  • 0129_fs3_balanced_1_1200
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  • 0202
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  • 1229_fsdp_high_ct2_4800
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  • .gitattributes
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  • README.md
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