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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
10.7 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
Docty's picture
Docty
Delete image_1.png
7fd2ab5 verified about 1 year ago
  • checkpoint-400
    End of training about 1 year ago
  • feature_extractor
    End of training about 1 year ago
  • logs
    End of training about 1 year ago
  • safety_checker
    End of training about 1 year ago
  • scheduler
    End of training about 1 year ago
  • text_encoder
    End of training about 1 year ago
  • tokenizer
    End of training about 1 year ago
  • unet
    End of training about 1 year ago
  • vae
    End of training about 1 year ago
  • .gitattributes
    1.57 kB
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  • README.md
    1.65 kB
    End of training about 1 year ago
  • model_index.json
    688 Bytes
    End of training about 1 year ago