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Docty
/
dreambooth-soldier

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-soldier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Docty/dreambooth-soldier 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-soldier", 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-soldier / text_encoder
492 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
Docty's picture
Docty
End of training
b1e2167 verified about 1 year ago
  • config.json
    560 Bytes
    End of training about 1 year ago
  • model.safetensors
    492 MB
    xet
    End of training about 1 year ago