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smktech9
/
ltx-video

Text-to-Video
Diffusers
diffusers-training
finetrainers
template:sd-lora
lora
Model card Files Files and versions
xet
Community

Instructions to use smktech9/ltx-video with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use smktech9/ltx-video with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    from diffusers.utils import export_to_video
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Lightricks/LTX-Video", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("smktech9/ltx-video")
    
    prompt = "A man with short gray hair plays a red electric guitar."
    
    output = pipe(prompt=prompt).frames[0]
    export_to_video(output, "output.mp4")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
ltx-video
1.41 GB
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  • 1 contributor
History: 4 commits
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smktech9
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  • .ipynb_checkpoints
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  • .gitattributes
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  • pytorch_lora_weights-old.safetensors
    470 MB
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  • pytorch_lora_weights.safetensors
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  • pytorch_lora_weights_correct1.safetensors
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