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--- |
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license: gpl-3.0 |
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language: |
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- en |
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metrics: |
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- mse |
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pipeline_tag: unconditional-image-generation |
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tags: |
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- diffusion |
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- image generation |
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- unconditional |
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- wsi |
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--- |
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A Diffusion Model for Generating WSI Patches |
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How to use the model? |
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```py |
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from diffusers import DiffusionPipeline |
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wsi_generator = DiffusionPipeline.from_pretrained("kaveh/wsi_generator") |
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wsi_generator.to("cuda") |
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generated_image = wsi_generator().images[0] |
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generated_image.save("wsi_generated.png") |
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``` |
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there is also a docker image available for this model in the following link: |
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[https://hub.docker.com/r/kaveh8/wsi-ddpm](https://hub.docker.com/r/kaveh8/wsi-ddpm) |
