Update README.md

README.md

@@ -129,12 +129,29 @@ For VAE, the LightX2V team has conducted a series of deep optimizations, derivin
 
 ### Video Generation
 
-Task: s2v(speech to video)
+Task: s2v(speech to video)  
 Model: seko-talk
 
-| Wan2.1_VAE | taew2_1 | lighttaew2_1 | lightvaew2_1 |
-|:--------------|:------------|:---------------------|:-------------|
-|<video controls autoplay width=50% src=https://cdn-uploads.huggingface.co/production/uploads/680de13385293771bc57400b/6l-P-3Hr9JKL3xgUyJXWJ.mp4></video>| <video controls autoplay width=50% src=https://cdn-uploads.huggingface.co/production/uploads/680de13385293771bc57400b/rcVHrCKB4nRAs2VSjJd2d.mp4></video> | <video controls autoplay width=50% src=https://cdn-uploads.huggingface.co/production/uploads/680de13385293771bc57400b/Wq9p9Z7NDYwaKw4SqVbYT.mp4></video>| <video controls autoplay width=50% src=https://cdn-uploads.huggingface.co/production/uploads/680de13385293771bc57400b/NpKOzFcvsHzSFfFACzUKP.mp4></video>|
+<table>
+<tr>
+<td width="25%" align="center">
+<strong>Wan2.1_VAE</strong><br>
+<video controls autoplay width="100%" src="https://cdn-uploads.huggingface.co/production/uploads/680de13385293771bc57400b/6l-P-3Hr9JKL3xgUyJXWJ.mp4"></video>
+</td>
+<td width="25%" align="center">
+<strong>taew2_1</strong><br>
+<video controls autoplay width="100%" src="https://cdn-uploads.huggingface.co/production/uploads/680de13385293771bc57400b/rcVHrCKB4nRAs2VSjJd2d.mp4"></video>
+</td>
+<td width="25%" align="center">
+<strong>lighttaew2_1</strong><br>
+<video controls autoplay width="100%" src="https://cdn-uploads.huggingface.co/production/uploads/680de13385293771bc57400b/Wq9p9Z7NDYwaKw4SqVbYT.mp4"></video>
+</td>
+<td width="25%" align="center">
+<strong>lightvaew2_1</strong><br>
+<video controls autoplay width="100%" src="https://cdn-uploads.huggingface.co/production/uploads/680de13385293771bc57400b/NpKOzFcvsHzSFfFACzUKP.mp4"></video>
+</td>
+</tr>
+</table>
 
 
 ##  📊 Wan2.2 Series Performance Comparison
@@ -155,12 +172,25 @@ Model: seko-talk
 
 ### Video Generation
 
-Task: t2v(text to video)
+Task: t2v(text to video)  
 Model: [Wan-AI/Wan2.1-T2V-A14B](https://huggingface.co/Wan-AI/Wan2.1-T2V-A14B)
 
-| Wan2.2_VAE | taew2_2 | lighttaew2_2 |
-|:--------------|:------------|:---------------------|
-|<video controls autoplay width=70% src=https://cdn-uploads.huggingface.co/production/uploads/680de13385293771bc57400b/KUY7Ifz9gFJqDjWga6A53.mp4></video>| <video controls autoplay width=70% src=https://cdn-uploads.huggingface.co/production/uploads/680de13385293771bc57400b/OYA8VfNlCv_hBkj_n_OMl.mp4></video>|<video controls autoplay width=70% src=https://cdn-uploads.huggingface.co/production/uploads/680de13385293771bc57400b/gaHRr6uuAF0NlH4YlMbHO.mp4></video>|
+<table>
+<tr>
+<td width="33%" align="center">
+<strong>Wan2.2_VAE</strong><br>
+<video controls autoplay width="95%" src="https://cdn-uploads.huggingface.co/production/uploads/680de13385293771bc57400b/KUY7Ifz9gFJqDjWga6A53.mp4"></video>
+</td>
+<td width="33%" align="center">
+<strong>taew2_2</strong><br>
+<video controls autoplay width="95%" src="https://cdn-uploads.huggingface.co/production/uploads/680de13385293771bc57400b/OYA8VfNlCv_hBkj_n_OMl.mp4"></video>
+</td>
+<td width="33%" align="center">
+<strong>lighttaew2_2</strong><br>
+<video controls autoplay width="95%" src="https://cdn-uploads.huggingface.co/production/uploads/680de13385293771bc57400b/gaHRr6uuAF0NlH4YlMbHO.mp4"></video>
+</td>
+</tr>
+</table>
 
 
 
@@ -307,4 +337,4 @@ bash wan/run_wan_i2v.sh  # or other inference scripts
 - **HuggingFace**: https://huggingface.co/lightx2v
 - **LightX2V Homepage**: https://github.com/ModelTC/LightX2V
 
-If you find this project helpful, please give us a ⭐ on [GitHub](https://github.com/ModelTC/LightX2V)
+If you find this project helpful, please give us a ⭐ on [GitHub](https://github.com/ModelTC/LightX2V)