Edit model card

WSI Generation with DDPM

WSI image

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

Downloads last month
35
Inference API
Inference API (serverless) does not yet support diffusers models for this pipeline type.

Space using kaveh/wsi_generator 1