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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 / docs /source /en /training
128 kB
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  • 1 contributor
History: 1 commit
Aminrabi's picture
Aminrabi
End of training
c0af20c almost 3 years ago
  • adapt_a_model.md
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  • controlnet.md
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  • create_dataset.md
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  • custom_diffusion.md
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  • distributed_inference.md
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  • dreambooth.md
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  • instructpix2pix.md
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  • lora.md
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  • overview.md
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  • text2image.md
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  • text_inversion.md
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  • unconditional_training.md
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    End of training almost 3 years ago