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distilled-wsi-diffusion

PyTorch
Safetensors
English
diffusion
pathology
wsi
distillation
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@@ -17,7 +17,7 @@ base_model:
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  ![Teacher vs Student](./tile.png)
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  `distilled-wsi-diffusion` is a distilled student model derived from **PixCell** for
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- UNI-conditioned histopathology image generation. It is designed to preserve the
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  visual behavior of the PixCell teacher while enabling substantially faster
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  sampling with fewer denoising steps(**7.06x** speed up), making it practical for rapid research
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  iteration, hypothesis testing, and interpretability workflows on WSI features.
 
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  ![Teacher vs Student](./tile.png)
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  `distilled-wsi-diffusion` is a distilled student model derived from **PixCell** for
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+ **UNI**-conditioned histopathology image generation. It is designed to preserve the
21
  visual behavior of the PixCell teacher while enabling substantially faster
22
  sampling with fewer denoising steps(**7.06x** speed up), making it practical for rapid research
23
  iteration, hypothesis testing, and interpretability workflows on WSI features.