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uwcc
/
LivStory

Text-to-Image
Diffusers
flux
lora
template:sd-lora
ai-toolkit
Model card Files Files and versions
xet
Community

Instructions to use uwcc/LivStory with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use uwcc/LivStory with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("uwcc/LivStory")
    
    prompt = "A church in a field on a sunny day, [trigger] style."
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
LivStory
866 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
uwcc's picture
uwcc
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719bad3 verified over 1 year ago
  • samples
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  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • LivStory.safetensors
    172 MB
    xet
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  • LivStory_000002000.safetensors
    172 MB
    xet
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  • LivStory_000002500.safetensors
    172 MB
    xet
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  • LivStory_000003000.safetensors
    172 MB
    xet
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  • LivStory_000003500.safetensors
    172 MB
    xet
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  • README.md
    1.85 kB
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