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@@ -19,7 +19,8 @@ This repo contains the models from our paper [**DiffBlender: Scalable and Compos
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  DiffBlender successfully synthesizes complex combinations of input modalities.
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  It enables flexible manipulation of conditions, providing the customized generation aligned with user preferences.
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  We designed its structure to intuitively extend to additional modalities while achieving a low training cost through a partial update of hypernetworks.
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- We provide its model checkpoint, trained with six modalities: sketch, depth map, grounding box, keypoints, color palette, and style embedding.
 
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  **License:**
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  Apache 2.0 License
 
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  DiffBlender successfully synthesizes complex combinations of input modalities.
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  It enables flexible manipulation of conditions, providing the customized generation aligned with user preferences.
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  We designed its structure to intuitively extend to additional modalities while achieving a low training cost through a partial update of hypernetworks.
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+ We provide its model checkpoint, trained with six modalities: sketch, depth map, grounding box, keypoints, color palette, and style embedding. >> `./checkpoint_latest.pth`
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  **License:**
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  Apache 2.0 License