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ottopilot
/
YuuSakura

Text-to-Image
Diffusers
stable-diffusion
lora
template:sd-lora
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use ottopilot/YuuSakura with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/v1-5-pruned-v6", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("ottopilot/YuuSakura")
    
    prompt = "Raw photo, portrait, from front, YuuSaku, business suit, shot on Nikon D3300, 8k, uhd, highly detailed, masterpiece, Forbes Magazine, indoors, boardroom, windows, cityscape, Shinjuku, night, confident, powerful, seductive <lora:YuuSaku_v2:1> <lora:XenoDetailer_v2:0.1>"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
YuuSakura / images
5.5 MB
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  • 1 contributor
History: 1 commit
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ottopilot
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