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Jonjew
/
JanuaryJones

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

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

  • Libraries
  • Diffusers

    How to use Jonjew/JanuaryJones 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/JanuaryJones")
    
    prompt = "a pale dewy skin model with big luscious lips and voluminous long crazy messy hair, front portrait looking straight at the viewer, wearing elegant colorful makeup and pink blush on her cheeks. she's wearing vibrant patterns of high fashion in the style of versace, featuring colorful geometric prints and lace details. her earrings shimmer under bright lights, adding to the lively atmosphere of the show, sky-blue backdrop, minimalist portrait, high tonal range, focusing on perfection of her face. --ar 85128 female,<lora:a_Turbo-Alpha:1>,<lora:january-jones:1>,"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
JanuaryJones
19.6 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Jonjew's picture
Jonjew
Add 2 files
420366f verified over 1 year ago
  • images
    Add 2 files over 1 year ago
  • .gitattributes
    2.31 kB
    initial commit over 1 year ago
  • README.md
    1.24 kB
    initial commit over 1 year ago
  • january-jones-000008 (1).safetensors
    18.2 MB
    xet
    Add 2 files over 1 year ago