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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 / Lightricks /LTX-Video /vae
1.68 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
vidfom's picture
vidfom
Upload files and folders from Google Colab
7245118 about 1 year ago
  • config.json
    437 Bytes
    Upload files and folders from Google Colab about 1 year ago
  • vae_diffusion_pytorch_model.safetensors
    1.68 GB
    xet
    Upload files and folders from Google Colab about 1 year ago