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doronys
/
synthmed-loras

Text-to-Image
Diffusers
image-to-image
stable-diffusion
lora
medical-imaging
retina
chest-xray
synthetic-data
privacy-preserving
controlled-generation
Model card Files Files and versions
xet
Community

Instructions to use doronys/synthmed-loras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use doronys/synthmed-loras with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("doronys/synthmed-loras")
    
    prompt = "retina fundoscopy right eye dilated age=45 gender=male bp systolic=120"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
synthmed-loras
55 MB
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  • 1 contributor
History: 8 commits
doronys's picture
doronys
Upload README.md with huggingface_hub
39be341 verified 11 days ago
  • cxr
    Upload cxr/lora_weights.safetensors with huggingface_hub 11 days ago
  • hpp-retina
    Upload hpp-retina/lora_weights.safetensors with huggingface_hub 11 days ago
  • images
    Upload folder using huggingface_hub 11 days ago
  • .gitattributes
    2.34 kB
    Upload folder using huggingface_hub 11 days ago
  • README.md
    7.58 kB
    Upload README.md with huggingface_hub 11 days ago