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diffusers-modular
/
MiniMax-H3-LightVAE

Image-to-Video
Diffusers
Safetensors
MiniMax H3
video
modular-diffusers
lightvae
Model card Files Files and versions
xet
Community

Instructions to use diffusers-modular/MiniMax-H3-LightVAE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use diffusers-modular/MiniMax-H3-LightVAE 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("diffusers-modular/MiniMax-H3-LightVAE", 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
MiniMax-H3-LightVAE
3.65 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
linoyts's picture
linoyts HF Staff
full LightVAE: lite encoder (remote-code class) + lite decoder; index -> AutoModel
fc62d8e verified 1 day ago
  • vae
    full LightVAE: lite encoder (remote-code class) + lite decoder; index -> AutoModel 1 day ago
  • .gitattributes
    1.52 kB
    initial commit 2 days ago
  • README.md
    5.6 kB
    README: verified usage (cross-repo transformer load, turbo prefix, device move) 1 day ago
  • modular_model_index.json
    2.89 kB
    full LightVAE: lite encoder (remote-code class) + lite decoder; index -> AutoModel 1 day ago