Text-to-Image
Diffusers
image-to-image
stable-diffusion
lora
medical-imaging
retina
chest-xray
synthetic-data
privacy-preserving
controlled-generation
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 Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 0d533acfadb4c229c0c57684127fc8f5051b76c3a456011d4c931f26da787106
- Size of remote file:
- 369 kB
- SHA256:
- 2c286e9cd85aa626c19cb5c880200b2c446e64332f5afd124e07cc7eb3ee6d73
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