update README

README.md

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 ## Introduction
 We decouple diffusion transformer into encoder-decoder design, and surpresingly that a **more substantial encoder yields performance improvements as model size increases**.
 ![](./figs/main.png)
+* 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.
 ## Visualizations
 ![](./figs/teaser.png)
 ## Usgae