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TDN-M
/
PlusHDR

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

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

  • Libraries
  • Diffusers

    How to use TDN-M/PlusHDR with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3.5-large", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("TDN-M/PlusHDR")
    
    prompt = "Byzantine style portrait of girl with golden background, sexy outfit, upper body, front view, (Masterpiece, Top Quality, Top Image Quality, Official Art, Aesthetic and Beautiful:1.2), (1girl:1.4), Portrait, Superb Color, Top Definition, Simple background, 16K, High Resolution, Perfect Dynamic Composition, Bokeh, (Sharp Focus:1.2), Super Wide Angle, High Angle, High Color Contrast, Medium Shot, Depth of Field, Background Blur,"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
PlusHDR
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  • 1 contributor
History: 2 commits
TDN-M's picture
TDN-M
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bce7673 verified over 1 year ago
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  • .gitattributes
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  • README.md
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  • pytorch_lora_weights.safetensors
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    xet
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