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rtclauss
/
dogbooth

Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Diffusers

    How to use rtclauss/dogbooth with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("rtclauss/dogbooth", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "a photo of [v]dog"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
dogbooth / logs /dreambooth
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  • 1 contributor
History: 1 commit
rtclauss's picture
rtclauss
End of training
98f2fe1 verified almost 2 years ago
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