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TDN-M
/
RetouchFLux

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

Instructions to use TDN-M/RetouchFLux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use TDN-M/RetouchFLux 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("TDN-M/RetouchFLux")
    
    prompt = "A young woman with bright smile and curly blonde hair, dressed in a yellow sundress with white flowers, stands amidst a vibrant farm backdrop of sunflowers, green fields, and blue skies. She gently holds a basket of freshly picked fruits and vegetables, surrounded by rustic wooden fences and lush greenery."
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
RetouchFLux
191 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
TDN-M's picture
TDN-M
Update README.md
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  • images
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  • .gitattributes
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  • README.md
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  • TDNM_Retouch.safetensors
    172 MB
    xet
    Add 6 files over 1 year ago