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wang shuai
2025-08-22 10:49:18 +08:00
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@@ -13,9 +13,7 @@ We decouple diffusion transformer into encoder-decoder design, and surprisingly
* We achieves **1.26 FID** on ImageNet256x256 Benchmark with DDT-XL/2(22en6de).
* We achieves **1.28 FID** on ImageNet512x512 Benchmark with DDT-XL/2(22en6de).
* As a byproduct, our DDT can reuse encoder among adjacent steps to accelerate inference.
## Update 5/6/2025
* PixelDDT-XXL/16-R1024-T2I achieves **66.7** without prompt rewriting and **71.2** with prompt rewriting on GenEval benchmark
* Pixel space Text-to-image models(PixelDDT-XXL/16) will be released soon.
## Visualizations
![](./figs/teaser.png)
## Checkpoints