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openfree
/
claude-monet

Text-to-Image
Diffusers
flux
lora
template:sd-lora
ai-toolkit
Model card Files Files and versions
xet
Community
1

Instructions to use openfree/claude-monet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use openfree/claude-monet with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("openfree/claude-monet")
    
    prompt = "Claude Monet's 1916 painting, Water Lilies, which is currently on display at the Metropolitan Museum of Art. The painting depicts a tranquil pond with water lilies floating on the surface, surrounded by lush green foliage and a variety of colorful flowers. The colors of the flowers range from bright pinks and purples to deep blues and greens, creating a peaceful and calming atmosphere. [trigger]"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
claude-monet / samples
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  • 1 contributor
History: 2 commits
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