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---
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?
```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) |