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jdopensource
/
JoyAI-Echo

Image-to-Video
Diffusers
Safetensors
video-generation
audio-video-generation
reference-to-video
long-video
multi-shot
dmd
Model card Files Files and versions
xet
Community
10

Instructions to use jdopensource/JoyAI-Echo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use jdopensource/JoyAI-Echo 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("jdopensource/JoyAI-Echo", 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
JoyAI-Echo
46.1 GB
Ctrl+K
Ctrl+K
  • 5 contributors
History: 10 commits
jahnsonblack's picture
jahnsonblack
Upload config.json with huggingface_hub
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  • assets
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  • .gitattributes
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  • JoyAI-Echo-release.safetensors
    46.1 GB
    xet
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  • LICENSE
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  • README.md
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  • THIRD_PARTY_NOTICES.md
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  • config.json
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  • model_index.json
    42 Bytes
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