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ButterChicken98
/
sb_db_v1

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

Instructions to use ButterChicken98/sb_db_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use ButterChicken98/sb_db_v1 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("ButterChicken98/sb_db_v1", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "A close-up photo of a soybean leaf suffering from ymv disease, being held in a hand in an agricultural field. The leaf has distinct yellow mosaic patterns, with irregular patches and green veins. Other soybean plants with similar symptoms are visible in the blurred background"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
sb_db_v1
88.1 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
ButterChicken98's picture
ButterChicken98
End of training
95db965 verified about 1 year ago
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  • safety_checker
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  • text_encoder
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  • .gitattributes
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  • README.md
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  • image_0.png
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    xet
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  • model_index.json
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