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