update table to the middle

Author: BrianChen1129

content/blogs/fastvideo_post_training/index.md

@@ -43,6 +43,9 @@ For FastWan2.2-TI2V-5B-FullAttn, since its sequence length is short (~20K), it d
 {{< image src="img/fastwan.png" alt="denoising speedup" width="100%" >}}
 
 Below, we demonstrate how each module accelerates the DiT denoising time (without text encoder and vae) on a single H200 GPU. 
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+<div align="center">
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 |                           | Wan 2.2 5B 720P | Wan2.1 14B  720P | Wan2.1 1.3B 480P | 
 |:-------------------------:|:---------------:|:----------------:|:----------------:|
 |             FA2          |     157.21s     |      1746.5s      |       95.21s      |  
@@ -51,6 +54,8 @@ Below, we demonstrate how each module accelerates the DiT denoising time (withou
 | FA3 + DMD + torch compile |      2.64s      |       29.5s       |       1.49s       | 
 | VSA + DMD + torch compile |      --           |        13s       |       0.98s       | 
 
+</div> 
+
 
 All numbers can be reproduced with this [script](https://github.com/hao-ai-lab/FastVideo/blob/main/scripts/inference/v1_inference_wan_VSA_DMD.sh)