metadata
license: gpl-3.0
language:
- en
metrics:
- mse
pipeline_tag: unconditional-image-generation
tags:
- diffusion
- image generation
- unconditional
- wsi
A Diffusion Model for Generating WSI Patches
How to use the model?
from diffusers import DiffusionPipeline
wsi_generator = DiffusionPipeline.from_pretrained("kaveh/wsi_generator")
wsi_generator.to("cuda")
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