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William2357
/
Output1

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

Instructions to use William2357/Output1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use William2357/Output1 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("output", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_textual_inversion("William2357/Output1")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
Output1 / logs /textual_inversion
2.18 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
William2357's picture
William2357
End of training
2033209 verified almost 2 years ago
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