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diffusers-internal-dev
/
ltx-test

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

Instructions to use diffusers-internal-dev/ltx-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use diffusers-internal-dev/ltx-test with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("diffusers-internal-dev/ltx-test", 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-test / tokenizer
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  • 1 contributor
History: 1 commit
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dn6 HF Staff
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  • added_tokens.json
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  • special_tokens_map.json
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  • spiece.model
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    xet
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  • tokenizer_config.json
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