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D4lbrt
/
artclown

Text-to-Image
Diffusers
diffusers-training
lora
flux
flux-diffusers
template:sd-lora
Model card Files Files and versions
xet
Community

Instructions to use D4lbrt/artclown with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use D4lbrt/artclown with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("D4lbrt/artclown")
    
    prompt = "a photo of artclown"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
artclown
18.7 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
D4lbrt's picture
D4lbrt
End of training
6a47a7f verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    2.09 kB
    End of training over 1 year ago
  • pytorch_lora_weights.safetensors
    18.7 MB
    xet
    End of training over 1 year ago