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sayakpaul
/
mochi-lora-dissolve

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

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

  • Libraries
  • Diffusers

    How to use sayakpaul/mochi-lora-dissolve 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("genmo/mochi-1-preview", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("sayakpaul/mochi-lora-dissolve")
    
    prompt = "A pristine snowglobe featuring a winter scene sits peacefully. The globe violently explodes, sending glass, water, and glittering fake snow in all directions. The scene is captured with high-speed photography."
    
    output = pipe(prompt=prompt).frames[0]
    export_to_video(output, "output.mp4")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
mochi-lora-dissolve
76.4 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
sayakpaul's picture
sayakpaul HF Staff
End of training
6ea7c38 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    2.76 kB
    End of training almost 2 years ago
  • final_video_0.mp4
    111 kB
    End of training almost 2 years ago
  • pytorch_lora_weights.safetensors
    76.1 MB
    xet
    End of training almost 2 years ago
  • test_video_0_A_pristine_snowglobe_feat.mp4
    111 kB
    End of training almost 2 years ago
  • validation_video_0_A_pristine_snowglobe_feat.mp4
    123 kB
    End of training almost 2 years ago