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<em>End-to-End Tuned VAEs for Supercharging Text-to-Image Diffusion Transformers</em>
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<a href="https://scholar.google.com.au/citations?user=GQzvqS4AAAAJ" target="_blank">Xingjian Leng</a><sup>1,2*</sup>   <b>·</b>  
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<a href="https://1jsingh.github.io/" target="_blank">Jaskirat Singh</a><sup>1</sup>   <b>·</b>  
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<em>End-to-End Tuned VAEs for Supercharging Text-to-Image Diffusion Transformers</em>
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</p>
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<a href="https://End2End-Diffusion.github.io/repa-e-t2i">🌐 Project Page</a>  
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<a href="https://huggingface.co/REPA-E/models">🤗 Models</a>  
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<a href="https://arxiv.org/abs/2504.10483">📃 Paper</a>  
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<br><br>
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<!-- <a href="https://paperswithcode.com/sota/image-generation-on-imagenet-256x256?p=repa-e-unlocking-vae-for-end-to-end-tuning-of"><img src="https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/repa-e-unlocking-vae-for-end-to-end-tuning-of/image-generation-on-imagenet-256x256" alt="PWC"></a> -->
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<!-- <p align="center">
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<a href="https://scholar.google.com.au/citations?user=GQzvqS4AAAAJ" target="_blank">Xingjian Leng</a><sup>1,2*</sup>   <b>·</b>  
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<a href="https://1jsingh.github.io/" target="_blank">Jaskirat Singh</a><sup>1</sup>   <b>·</b>  
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