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camenduru
/
MeiGen-MultiTalk

Image-to-Video
Diffusers
Safetensors
English
Chinese
video generation
conversational video generation
talking human video generation
Model card Files Files and versions
xet
Community

Instructions to use camenduru/MeiGen-MultiTalk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use camenduru/MeiGen-MultiTalk 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("camenduru/MeiGen-MultiTalk", 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
MeiGen-MultiTalk
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  • 1 contributor
History: 3 commits
camenduru's picture
camenduru
thanks to MeiGen-AI ❤
ab4233d verified 10 months ago
  • assets
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  • quant_models
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  • .gitattributes
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  • README.md
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  • diffusion_pytorch_model.safetensors.index.json
    145 kB
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  • multitalk.safetensors
    9.95 GB
    xet
    thanks to MeiGen-AI ❤ 10 months ago