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KappaNeuro
/
james-jean-style

Text-to-Image
Diffusers
stable-diffusion
lora
art
style
james jean
bright colors
Model card Files Files and versions
xet
Community

Instructions to use KappaNeuro/james-jean-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use KappaNeuro/james-jean-style 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("KappaNeuro/james-jean-style")
    
    prompt = "James Jean Style - background, JAMES JEAN STYLE, While giving the rhythm, you live in the past The part of the pen and the pain that I book A piece of the pie for the people to eat We giving a beautiful feast A literal beast Until every daughters obese Food for the minds of the foolish many a minuscule men try to suppress what I attest with a pen When will it end? My lines are actually accurate never asinine Put iodines inside my apparatus I'm extracting the sweetest scent of malevolence Necessary for relevance An innovative poet asphyxiated his relative Sedatives in my system while singin' swingin' a razor blade Sad to say that I'm somber so someone tell me to save the date"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
james-jean-style
229 MB
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  • 1 contributor
History: 2 commits
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multimodalart HF Staff
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