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@@ -14,6 +14,9 @@ EQ-VAE paper: https://arxiv.org/abs/2502.09509 <br>
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  VIVAT paper: https://arxiv.org/pdf/2506.07863v1 <br>
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  Thanks to Kohaku and his reproduction that made me look into this: https://huggingface.co/KBlueLeaf/EQ-SDXL-VAE <br>
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/633b43d29fe04b13f46c8988/gQnoqo57ZLq4TIW33zK5f.png)
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@@ -271,7 +274,9 @@ B3 cleans them up ever more, but at that point visually they are +- same.
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  B4 Moar.
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- B5 MOAR. (also benchmarked with padding added, so results are overall a tiny bit more consistent due to fixed edges)
 
 
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  ## References
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  [1] [[2502.09509] EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling](https://arxiv.org/abs/2502.09509)
 
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  VIVAT paper: https://arxiv.org/pdf/2506.07863v1 <br>
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  Thanks to Kohaku and his reproduction that made me look into this: https://huggingface.co/KBlueLeaf/EQ-SDXL-VAE <br>
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+ Base model adapted to EQ VAE: https://huggingface.co/Anzhc/Noobai11-EQ
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/633b43d29fe04b13f46c8988/gQnoqo57ZLq4TIW33zK5f.png)
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  B4 Moar.
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+ B5 MOAR. (also benchmarked with padding added, so results are overall a tiny bit more consistent due to fixed edges)
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+ B6-7 Concentration on improving details. Previous runs were clearing latents up as much as possible, now target is to preserve and improve, while allowing model to still change latents to accommodate for new details in a clear way.
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  ## References
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  [1] [[2502.09509] EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling](https://arxiv.org/abs/2502.09509)