---
license: gpl-3.0
language:
- en
metrics:
- mse
pipeline_tag: unconditional-image-generation
tags:
- diffusion
- image generation
- unconditional
- wsi
---
# WSI Generation with DDPM

![WSI image](https://i.imgur.com/hCKTyfE.png)

A Diffusion Model for Generating WSI Patches

How to use the model?

```py
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](https://hub.docker.com/r/kaveh8/wsi-ddpm)