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Jonjew
/
BrigitteNielsen

Text-to-Image
Diffusers
lora
template:diffusion-lora
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use Jonjew/BrigitteNielsen with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("Jonjew/BrigitteNielsen")
    
    prompt = "professional photography, 30yo woman with blonde short hair posing for a picture, intricate details, simple background, depth of field <lora:Brigitte Nielsen_Flux_Rapid:1.05>, detailed skin texture, (blush:0.2), (goosebumps:0.3), subsurface scattering"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
BrigitteNielsen
91.2 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
Jonjew's picture
Jonjew
Add 2 files
205376a verified about 1 year ago
  • images
    Add 2 files about 1 year ago
  • .gitattributes
    2.31 kB
    initial commit about 1 year ago
  • Brigitte_Nielsen-000001.safetensors
    89.7 MB
    xet
    Add 2 files about 1 year ago
  • README.md
    930 Bytes
    initial commit about 1 year ago