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KappaNeuro
/
op-art

Text-to-Image
Diffusers
stable-diffusion
lora
style
painting
patterns
op art
illusions
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use KappaNeuro/op-art 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/op-art")
    
    prompt = "Op Art - Step into the world of Op Art Fashion, where brocade and chintz fabrics come alive with pixelated plaid designs. Get ready to be mesmerized by optical illusions and swirling parabolic shapes that create a sense of mesmerizing movement. This composition is a visual feast for the eyes, with intricate patterns and bold colors that captivate the imagination. The interplay of light and shadow adds depth and dimension, enhancing the overall optical effect. As you delve into this opulent fashion realm, prepare to be enchanted by the dynamic and ever-changing visual illusions that this style has to offer. Get ready to make a fashion statement like no other with this captivating Op Art Fashion masterpiece. Award-Winning Photography style, Op Art Fashion, Super-Resolution."
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
op-art
229 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
multimodalart's picture
multimodalart HF Staff
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