Update README.md

README.md

@@ -14,9 +14,29 @@ inference steps on an AMD Radeon™ RX 7900 XTX GPU.  Quantitative results on th
 U-Net-based diffusion models and competitive results compared to significantly larger DiT-based models. We provide a detailed analysis of the model architecture, training 
 methodology, and benchmark performance.
 
-
 <img src="src/i2v_training_pipeline.png" alt="i2v_training_pipeline" title="i2v_training_pipeline" class="i2v_training_pipeline">
 
+<table>
+  <tr>
+    <td><img src="src/01.gif"></td>
+    <td><img src="src/02.gif"></td>
+    <td><img src="src/03.gif"></td>
+    <td><img src="src/04.gif"></td>
+  </tr>
+  <tr>
+    <td><img src="src/05.gif"></td>
+    <td><img src="src/06.gif"></td>
+    <td><img src="src/07.gif"></td>
+    <td><img src="src/08.gif"></td>
+  </tr>
+  <tr>
+    <td><img src="src/09.gif"></td>
+    <td><img src="src/10.gif"></td>
+    <td><img src="src/11.gif"></td>
+    <td><img src="src/12.gif"></td>
+  </tr>
+</table>
+
 <style>
   table {
     width: auto;
@@ -37,41 +57,17 @@ methodology, and benchmark performance.
   }
   /* 默认表格中的图片大小 */
   img {
-    width: 256px;
-    height: 160px;
+    width: 384px;
+    height: 240px;
     object-fit: cover;
   }
   /* 只影响 vbench.png */
   .i2v_training_pipeline {
-    width: 1570px !important;
-    height: 1396px !important;
+    width: 1200px !important;
+    height: 900px !important;
     object-fit: contain; /* 让图片完整显示，不裁剪 */
   }
 </style>
 
 
-<table>
-  <tr>
-    <td><img src="src/01.gif"></td>
-    <td><img src="src/02.gif"></td>
-    <td><img src="src/03.gif"></td>
-    <td><img src="src/04.gif"></td>
-  </tr>
-  <tr>
-    <td><img src="src/05.gif"></td>
-    <td><img src="src/06.gif"></td>
-    <td><img src="src/07.gif"></td>
-    <td><img src="src/08.gif"></td>
-  </tr>
-  <tr>
-    <td><img src="src/09.gif"></td>
-    <td><img src="src/10.gif"></td>
-    <td><img src="src/11.gif"></td>
-    <td><img src="src/12.gif"></td>
-  </tr>
-</table>
-
-
-
-