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deepfates
/
mochi-lora-apt

Text-to-Video
Diffusers
diffusers-training
lora
replicate
mochi-1-preview
Model card Files Files and versions
xet
Community

Instructions to use deepfates/mochi-lora-apt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use deepfates/mochi-lora-apt with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    from diffusers.utils import export_to_video
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("mochi-1-preview", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("deepfates/mochi-lora-apt")
    
    prompt = "A man with short gray hair plays a red electric guitar."
    
    output = pipe(prompt=prompt).frames[0]
    export_to_video(output, "output.mp4")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
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mochi-lora-apt
76.1 MB
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  • 1 contributor
History: 2 commits
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deepfates
Upload folder using huggingface_hub
c1ae486 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    1.43 kB
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  • pytorch_lora_weights.safetensors
    76.1 MB
    xet
    Upload folder using huggingface_hub over 1 year ago