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vidfom
/
LTX-itv-Repository

Diffusers
Safetensors
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use vidfom/LTX-itv-Repository 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/LTX-itv-Repository", 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-itv-Repository / LTX-Video
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  • 1 contributor
History: 2 commits
vidfom's picture
vidfom
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  • ltx_video.egg-info
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  • ltx_video
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  • tests
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  • .gitattributes
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  • .pre-commit-config.yaml
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  • LICENSE
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  • LTX_Video_Img_to_Vid.ipynb
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  • README.md
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  • __init__.py
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  • file_list.txt
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  • inference.py
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  • pyproject.toml
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