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vidfom
/
lt

Diffusers
Safetensors
Model card Files Files and versions
xet
Community

Instructions to use vidfom/lt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use vidfom/lt with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("vidfom/lt", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
lt
31.9 GB
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  • 1 contributor
History: 9 commits
vidfom's picture
vidfom
up
52a828f verified about 1 year ago
  • Lightricks
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  • .gitattributes
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