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CiroN2022
/
escher-blend

Text-to-Image
Diffusers
stable-diffusion
lora
style
style art
escher
Model card Files Files and versions
xet
Community

Instructions to use CiroN2022/escher-blend with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use CiroN2022/escher-blend 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("CiroN2022/escher-blend")
    
    prompt = "An enigmatic nod to Escher's work:1.2, this artwork blurs the boundaries between realism:1.1 and abstraction:1.1, transforming geometric shapes:1.1 into a surreal and paradoxical landscape:1.2. , art by escher, "
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
escher-blend
682 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
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multimodalart HF Staff
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