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Docty
/
dreambooth-gingarun

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 Docty/dreambooth-gingarun with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Docty/dreambooth-gingarun with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Docty/dreambooth-gingarun", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "gingarun very dark skin chocolate black woman with big breasts, full lips, big butt, at park, braids, floral dress, side view, deep cleavage, smiling, looking straight, busty, 21 years old"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
dreambooth-gingarun
10.7 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Docty's picture
Docty
End of training
87e6a17 verified over 1 year ago
  • checkpoint-200
    End of training over 1 year ago
  • feature_extractor
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  • logs
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  • safety_checker
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  • scheduler
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  • text_encoder
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  • tokenizer
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  • unet
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  • vae
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  • .gitattributes
    1.52 kB
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  • README.md
    1.45 kB
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  • model_index.json
    688 Bytes
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