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tqliu
/
Light-X

Diffusers
Safetensors
computer-vision
video-generation
video-editing
4d
relighting
camera-control
Model card Files Files and versions
xet
Community
1

Instructions to use tqliu/Light-X with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use tqliu/Light-X with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("tqliu/Light-X", 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
Light-X
23.1 GB
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  • 1 contributor
History: 5 commits
tqliu's picture
tqliu
Update README.md
7e96e78 verified 5 months ago
  • .gitattributes
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  • README.md
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  • config.json
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  • diffusion_pytorch_model-00001-of-00005.safetensors
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  • diffusion_pytorch_model.safetensors.index.json
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