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ming-yang
/
Monet_Style

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

Instructions to use ming-yang/Monet_Style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use ming-yang/Monet_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("ming-yang/Monet_Style")
    
    prompt = "MonetStyle rendering of a hot air balloon festival, emphasizing colorful balloons against a vibrant sky."
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
Monet_Style / images
29.1 MB
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  • 1 contributor
History: 2 commits
ming-yang's picture
ming-yang
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