metadata

license: gpl-3.0
language:
  - en
metrics:
  - mse
pipeline_tag: unconditional-image-generation
tags:
  - diffusion
  - image generation
  - unconditional
  - wsi

WSI Generation with DDPM

A Diffusion Model for Generating WSI Patches

How to use the model?

from diffusers import DiffusionPipeline

wsi_generator = DiffusionPipeline.from_pretrained("kaveh/wsi_generator")
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
wsi_generator.to(device)

generated_image = wsi_generator().images[0]
generated_image.save("wsi_generated.png")

there is also a docker image available for this model in the following link: https://hub.docker.com/r/kaveh8/wsi-ddpm