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dainlee
/
output_

Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
Model card Files Files and versions
xet
Metrics Training metrics Community
3

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

  • Libraries
  • Diffusers

    How to use dainlee/output_ with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("dainlee/output_", 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 Settings
  • Draw Things
  • DiffusionBee
output_ / data /results /Obama
8.39 MB
Ctrl+K
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  • 2 contributors
History: 2 commits
dainlee's picture
dainlee
End of training
1d28bd1 almost 4 years ago
  • .ipynb_checkpoints
    End of training almost 4 years ago
  • Obama_0_000000.png
    379 kB
    xet
    Epoch 0 almost 4 years ago
  • Obama_1_000000.png
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    xet
    End of training almost 4 years ago
  • Obama_2_000000.png
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    xet
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  • Obama_3_000000.png
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    xet
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  • Obama_4_000000.png
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    xet
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  • Obama_5_000000.png
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    xet
    End of training almost 4 years ago
  • Obama_6_000000.png
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    xet
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  • Obama_7_000000.png
    351 kB
    xet
    End of training almost 4 years ago
  • Obama_8_000000.png
    383 kB
    xet
    End of training almost 4 years ago
  • Obama_9_000000.png
    506 kB
    xet
    End of training almost 4 years ago