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a-r-r-o-w
/
LTX-Video-diffusers

Text-to-Video
Diffusers
Safetensors
LTXPipeline
image-to-video
Model card Files Files and versions
xet
Community
1

Instructions to use a-r-r-o-w/LTX-Video-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use a-r-r-o-w/LTX-Video-diffusers with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("a-r-r-o-w/LTX-Video-diffusers", 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
LTX-Video-diffusers / vae
1.68 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
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a-r-r-o-w
Update vae/config.json
2ce258c verified over 1 year ago
  • config.json
    502 Bytes
    Update vae/config.json over 1 year ago
  • diffusion_pytorch_model.safetensors
    1.68 GB
    xet
    Upload folder using huggingface_hub over 1 year ago