Add pipeline tag

This PR ensures the model can be found at https://huggingface.co/models?pipeline_tag=image-to-image&sort=trending.

README.md

@@ -1,52 +1,53 @@
----
-license: apache-2.0
-language:
-- en
-tags:
-- Diffusion Transformer
-- Image Editing
-- Scepter
-- ACE
----
-<h2 align="center">
-    ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer
-</h2>
-
-<h3 align="center">
-    <b>Tongyi Lab, Alibaba Group</b>
-</h3>
-
-<div align="center">
-
-[**Paper**](https://arxiv.org/abs/2410.00086) **|** [**Project Page**](https://ali-vilab.github.io/ace-page/) **|** [**Code**](https://github.com/ali-vilab/ACE)
-
-</div>
-
-
-ACE is a unified foundational model framework that supports a wide range of visual generation tasks. 
-By defining CU for unifying multi-modal inputs across different tasks and incorporating long-context CU, 
-we introduce historical contextual information into visual generation tasks, paving
-the way for ChatGPT-like dialog systems in visual generation.
-
-<p>
-  <table align="center">
-    <tr>
-    <td>
-      <img src="assets/figures/teaser.png">
-    </td>
-    </tr>
-  </table>
-</p>
-
-
-
-## BibTeX
-
-```bibtex
-@article{han2024ace,
-  title={ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer},
-  author={Han, Zhen and Jiang, Zeyinzi and Pan, Yulin and Zhang, Jingfeng and Mao, Chaojie and Xie, Chenwei and Liu, Yu and Zhou, Jingren},
-  journal={arXiv preprint arXiv:2410.00086},
-  year={2024}
-}
+---
+license: apache-2.0
+language:
+- en
+pipeline_tag: image-to-image
+tags:
+- Diffusion Transformer
+- Image Editing
+- Scepter
+- ACE
+---
+<h2 align="center">
+    ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer
+</h2>
+
+<h3 align="center">
+    <b>Tongyi Lab, Alibaba Group</b>
+</h3>
+
+<div align="center">
+
+[**Paper**](https://arxiv.org/abs/2410.00086) **|** [**Project Page**](https://ali-vilab.github.io/ace-page/) **|** [**Code**](https://github.com/ali-vilab/ACE)
+
+</div>
+
+
+ACE is a unified foundational model framework that supports a wide range of visual generation tasks. 
+By defining CU for unifying multi-modal inputs across different tasks and incorporating long-context CU, 
+we introduce historical contextual information into visual generation tasks, paving
+the way for ChatGPT-like dialog systems in visual generation.
+
+<p>
+  <table align="center">
+    <tr>
+    <td>
+      <img src="assets/figures/teaser.png">
+    </td>
+    </tr>
+  </table>
+</p>
+
+
+
+## BibTeX
+
+```bibtex
+@article{han2024ace,
+  title={ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer},
+  author={Han, Zhen and Jiang, Zeyinzi and Pan, Yulin and Zhang, Jingfeng and Mao, Chaojie and Xie, Chenwei and Liu, Yu and Zhou, Jingren},
+  journal={arXiv preprint arXiv:2410.00086},
+  year={2024}
+}
 ```