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rorito
/
faceDetailer

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

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

  • Libraries
  • Diffusers

    How to use rorito/faceDetailer 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("rorito/faceDetailer")
    
    prompt = "face-detailer Ultra-detailed close-up portrait of a beautiful woman mid-laugh, golden short pixie cut, sun-kissed fair skin with skin imperfections and freckles, soft shadows contouring her round face, piercing green eyes squinting in joy, expressive light wrinkles around the eyes, photorealistic style, face tilted slightly to the left, minimal background, visible skin pores, facial hair detail, <lora:face-detailer:1>"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
faceDetailer
147 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
rorito's picture
rorito
Add 2 files
15b5a02 verified 7 months ago
  • images
    Add 2 files 7 months ago
  • .gitattributes
    2.31 kB
    initial commit 7 months ago
  • README.md
    890 Bytes
    initial commit 7 months ago
  • face-detailer.safetensors
    145 MB
    xet
    Add 2 files 7 months ago