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AmilaUvaz
/
Michelle

Text-to-Image
Diffusers
Trained with AutoTrain
stable-diffusion
stable-diffusion-diffusers
lora
template:sd-lora
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use AmilaUvaz/Michelle with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("AmilaUvaz/Michelle")
    
    prompt = "<Michelle, a 24-year-old traveler with brown skin, rectangle face, brown eyes, Armond-shaped eyebrows, long wavy brown hair)>"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
Michelle
16.3 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
AmilaUvaz's picture
AmilaUvaz
End of training
6975be5 about 2 years ago
  • checkpoint-500
    End of training about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    710 Bytes
    End of training about 2 years ago
  • prompt.txt
    125 Bytes
    End of training about 2 years ago
  • pytorch_lora_weights.safetensors
    3.23 MB
    xet
    End of training about 2 years ago
  • pytorch_lora_weights_kohya.safetensors
    3.24 MB
    xet
    End of training about 2 years ago
  • training_params.json
    1.49 kB
    End of training about 2 years ago