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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 / .github /workflows
23.6 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
Aminrabi's picture
Aminrabi
End of training
c0af20c almost 3 years ago
  • build_docker_images.yml
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  • build_documentation.yml
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  • build_pr_documentation.yml
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  • delete_doc_comment.yml
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  • delete_doc_comment_trigger.yml
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  • nightly_tests.yml
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  • pr_dependency_test.yml
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  • pr_quality.yml
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  • pr_tests.yml
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  • push_tests.yml
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  • push_tests_fast.yml
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  • push_tests_mps.yml
    1.79 kB
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  • stale.yml
    548 Bytes
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  • typos.yml
    198 Bytes
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  • upload_pr_documentation.yml
    383 Bytes
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