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SedatAl
/
monet-style-LoRa-1

Text-to-Image
Diffusers
stable-diffusion-xl
stable-diffusion-xl-diffusers
diffusers-training
lora
Model card Files Files and versions
xet
Community
5

Instructions to use SedatAl/monet-style-LoRa-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use SedatAl/monet-style-LoRa-1 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("SedatAl/monet-style-LoRa-1")
    
    prompt = "monet,  a landscape of a snowy mountain region big clouds"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
monet-style-LoRa-1
102 MB
Ctrl+K
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  • 1 contributor
History: 14 commits
SedatAl's picture
SedatAl
Update README.md
4f8b650 verified over 1 year ago
  • checkpoint-1000
    End of training over 1 year ago
  • checkpoint-500
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  • images
    Add generated example (#5) over 1 year ago
  • .gitattributes
    1.57 kB
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  • README.md
    1.79 kB
    Update README.md over 1 year ago
  • image_0.png
    1.27 MB
    xet
    End of training over 1 year ago
  • pytorch_lora_weights.safetensors
    23.4 MB
    xet
    End of training over 1 year ago