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The model is able to generate 512x512 breast cancer pathology images based on generic text prompts, eg. "A histopathology image of breast cancer tissue."

It is the fusion of Stable Diffusion 1.4 and a LORA fine-tuned on 28218 pathology images from the BRCA dataset.

Model Details

Model Description

The model is trained on Stable Diffusion 1.4 with a UNet architecture and a pretrained VAE. It uses a batch size of 16 and lora rank of 32.

How to use

pipe = DiffusionPipeline.from_pretrained(
  "RiddleHe/SD14_pathology_base", torch_dtype=torch.float16
)
pipe.to('cuda')

prompt = "A histopathology image of breast cancer tissue"