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rorito
/
jugxl9

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

Instructions to use rorito/jugxl9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use rorito/jugxl9 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-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("rorito/jugxl9")
    
    prompt = "a young woman, swimming cap, brown hair, green eyes, upper body, from above, facing the viewer, floating on the water,  wet, pensive, one-piece swimming suit, realistic, skin texture, best quality"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
jugxl9
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  • 1 contributor
History: 1 commit
rorito's picture
rorito
initial commit
251f9ac verified about 2 years ago
  • .gitattributes
    2.31 kB
    initial commit about 2 years ago
  • README.md
    734 Bytes
    initial commit about 2 years ago