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lora-library
/
milora20-test

Text-to-Image
Diffusers
TensorBoard
stable-diffusion
stable-diffusion-diffusers
lora
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xet
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Instructions to use lora-library/milora20-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use lora-library/milora20-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("stabilityai/stable-diffusion-2-1-base", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("lora-library/milora20-test")
    
    prompt = "milora"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
milora20-test
112 MB
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  • 1 contributor
History: 2 commits
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  • .gitattributes
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  • README.md
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  • pytorch_lora_weights.bin
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  • train.sh
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