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Aminrabi
/
diffusers

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

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

  • Libraries
  • Diffusers

    How to use Aminrabi/diffusers with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Aminrabi/diffusers", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
diffusers / examples /dreambooth
237 kB
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  • 1 contributor
History: 1 commit
Aminrabi's picture
Aminrabi
End of training
c0af20c almost 3 years ago
  • README.md
    29.6 kB
    End of training almost 3 years ago
  • README_sdxl.md
    7.6 kB
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  • requirements.txt
    76 Bytes
    End of training almost 3 years ago
  • requirements_flax.txt
    74 Bytes
    End of training almost 3 years ago
  • requirements_sdxl.txt
    102 Bytes
    End of training almost 3 years ago
  • train_dreambooth.py
    55.7 kB
    End of training almost 3 years ago
  • train_dreambooth_flax.py
    27.9 kB
    End of training almost 3 years ago
  • train_dreambooth_lora.py
    58.6 kB
    End of training almost 3 years ago
  • train_dreambooth_lora_sdxl.py
    57.2 kB
    End of training almost 3 years ago