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README.md

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 license: apache-2.0
+language:
+- en
+library_name: transformers
+pipeline_tag: text-to-image
 ---
+
+<br>
+
+# DiffBlender Model Card
+
+This repo contains the models from our paper [**DiffBlender: Scalable and Composable Multimodal Text-to-Image Diffusion Models**](https://arxiv.org/abs/2305.15194).
+
+
+## Model details
+
+**Model type:**
+DiffBlender successfully synthesizes complex combinations of input modalities. 
+It enables flexible manipulation of conditions, providing the customized generation aligned with user preferences.
+We designed its structure to intuitively extend to additional modalities while achieving a low training cost through a partial update of hypernetworks.
+We provide its model checkpoint, trained with six modalities: sketch, depth map, grounding box, keypoints, color palette, and style embedding.
+
+**License:**
+Apache 2.0 License
+
+**Where to send questions or comments about the model:**
+https://github.com/sungnyun/diffblender/issues
+
+
+## Training dataset
+[Microsoft COCO 2017 dataset](https://cocodataset.org/#home)
+
+
+<br>
+
+More detials are in our project page, https://sungnyun.github.io/diffblender/.