diff --git a/README.md b/README.md
index 9f8122e..8841a4b 100644
--- a/README.md
+++ b/README.md
@@ -199,13 +199,13 @@ models we currently offer, along with their foundational information.
   </tr>
   <tr>
     <td style="text-align: center;">Single GPU Memory Usage<br></td>
-    <td colspan="2" style="text-align: center;"><a href="https://github.com/THUDM/SwissArmyTransformer">SAT</a> BF16: 66GB <br></td>
+    <td colspan="2" style="text-align: center;"><a href="https://github.com/THUDM/SwissArmyTransformer">SAT</a> BF16: 76GB <br><b>diffusers BF16: from 10GB*</b><br><b>diffusers INT8(torchao): from 7GB*</b></td>
     <td style="text-align: center;"><a href="https://github.com/THUDM/SwissArmyTransformer">SAT</a> FP16: 18GB <br><b>diffusers FP16: 4GB minimum* </b><br><b>diffusers INT8 (torchao): 3.6GB minimum*</b></td>
     <td colspan="2" style="text-align: center;"><a href="https://github.com/THUDM/SwissArmyTransformer">SAT</a> BF16: 26GB <br><b>diffusers BF16 : 5GB minimum* </b><br><b>diffusers INT8 (torchao): 4.4GB minimum* </b></td>
   </tr>
   <tr>
     <td style="text-align: center;">Multi-GPU Memory Usage</td>
-    <td colspan="2" style="text-align: center;"><b>Not Supported</b><br></td>
+    <td colspan="2" style="text-align: center;"><b>BF16: 24GB* using diffusers</b><br></td>
     <td style="text-align: center;"><b>FP16: 10GB* using diffusers</b><br></td>
     <td colspan="2" style="text-align: center;"><b>BF16: 15GB* using diffusers</b><br></td>
   </tr>
@@ -243,7 +243,8 @@ models we currently offer, along with their foundational information.
   </tr>
   <tr>
     <td style="text-align: center;">Download Link (Diffusers)</td>
-    <td colspan="2" style="text-align: center;"> Coming Soon </td>
+    <td style="text-align: center;"><a href="https://huggingface.co/THUDM/CogVideoX1.5-5B">🤗 HuggingFace</a><br><a href="https://modelscope.cn/models/ZhipuAI/CogVideoX1.5-5B">🤖 ModelScope</a><br><a href="https://wisemodel.cn/models/ZhipuAI/CogVideoX1.5-5B">🟣 WiseModel</a></td>
+    <td style="text-align: center;"><a href="https://huggingface.co/THUDM/CogVideoX1.5-5B-I2V">🤗 HuggingFace</a><br><a href="https://modelscope.cn/models/ZhipuAI/CogVideoX1.5-5B-I2V">🤖 ModelScope</a><br><a href="https://wisemodel.cn/models/ZhipuAI/CogVideoX1.5-5B-I2V">🟣 WiseModel</a></td>
     <td style="text-align: center;"><a href="https://huggingface.co/THUDM/CogVideoX-2b">🤗 HuggingFace</a><br><a href="https://modelscope.cn/models/ZhipuAI/CogVideoX-2b">🤖 ModelScope</a><br><a href="https://wisemodel.cn/models/ZhipuAI/CogVideoX-2b">🟣 WiseModel</a></td>
     <td style="text-align: center;"><a href="https://huggingface.co/THUDM/CogVideoX-5b">🤗 HuggingFace</a><br><a href="https://modelscope.cn/models/ZhipuAI/CogVideoX-5b">🤖 ModelScope</a><br><a href="https://wisemodel.cn/models/ZhipuAI/CogVideoX-5b">🟣 WiseModel</a></td>
     <td style="text-align: center;"><a href="https://huggingface.co/THUDM/CogVideoX-5b-I2V">🤗 HuggingFace</a><br><a href="https://modelscope.cn/models/ZhipuAI/CogVideoX-5b-I2V">🤖 ModelScope</a><br><a href="https://wisemodel.cn/models/ZhipuAI/CogVideoX-5b-I2V">🟣 WiseModel</a></td>
diff --git a/README_ja.md b/README_ja.md
index 9962d1b..b6ad2c6 100644
--- a/README_ja.md
+++ b/README_ja.md
@@ -191,13 +191,13 @@ CogVideoXは、[清影](https://chatglm.cn/video?fr=osm_cogvideox) と同源の
   </tr>
   <tr>
     <td style="text-align: center;">単一GPUメモリ消費量<br></td>
-    <td colspan="2" style="text-align: center;"><a href="https://github.com/THUDM/SwissArmyTransformer">SAT</a> BF16: 66GB <br></td>
+    <td colspan="2" style="text-align: center;"><a href="https://github.com/THUDM/SwissArmyTransformer">SAT</a> BF16: 76GB <br><b>diffusers BF16：10GBから*</b><br><b>diffusers INT8(torchao)：7GBから*</b></td>
     <td style="text-align: center;"><a href="https://github.com/THUDM/SwissArmyTransformer">SAT</a> FP16: 18GB <br><b>diffusers FP16: 4GB以上* </b><br><b>diffusers INT8(torchao): 3.6GB以上*</b></td>
     <td colspan="2" style="text-align: center;"><a href="https://github.com/THUDM/SwissArmyTransformer">SAT</a> BF16: 26GB <br><b>diffusers BF16 : 5GB以上* </b><br><b>diffusers INT8(torchao): 4.4GB以上* </b></td>
   </tr>
   <tr>
     <td style="text-align: center;">複数GPU推論メモリ消費量</td>
-    <td colspan="2" style="text-align: center;"><b>非対応</b><br></td>
+    <td colspan="2" style="text-align: center;"><b>BF16: 24GB* using diffusers</b><br></td>
     <td style="text-align: center;"><b>FP16: 10GB* diffusers使用</b><br></td>
     <td colspan="2" style="text-align: center;"><b>BF16: 15GB* diffusers使用</b><br></td>
   </tr>
@@ -235,7 +235,8 @@ CogVideoXは、[清影](https://chatglm.cn/video?fr=osm_cogvideox) と同源の
   </tr>
   <tr>
     <td style="text-align: center;">ダウンロードリンク (Diffusers)</td>
-    <td colspan="2" style="text-align: center;"> 近日公開 </td>
+    <td style="text-align: center;"><a href="https://huggingface.co/THUDM/CogVideoX1.5-5B">🤗 HuggingFace</a><br><a href="https://modelscope.cn/models/ZhipuAI/CogVideoX1.5-5B">🤖 ModelScope</a><br><a href="https://wisemodel.cn/models/ZhipuAI/CogVideoX1.5-5B">🟣 WiseModel</a></td>
+    <td style="text-align: center;"><a href="https://huggingface.co/THUDM/CogVideoX1.5-5B-I2V">🤗 HuggingFace</a><br><a href="https://modelscope.cn/models/ZhipuAI/CogVideoX1.5-5B-I2V">🤖 ModelScope</a><br><a href="https://wisemodel.cn/models/ZhipuAI/CogVideoX1.5-5B-I2V">🟣 WiseModel</a></td>
     <td style="text-align: center;"><a href="https://huggingface.co/THUDM/CogVideoX-2b">🤗 HuggingFace</a><br><a href="https://modelscope.cn/models/ZhipuAI/CogVideoX-2b">🤖 ModelScope</a><br><a href="https://wisemodel.cn/models/ZhipuAI/CogVideoX-2b">🟣 WiseModel</a></td>
     <td style="text-align: center;"><a href="https://huggingface.co/THUDM/CogVideoX-5b">🤗 HuggingFace</a><br><a href="https://modelscope.cn/models/ZhipuAI/CogVideoX-5b">🤖 ModelScope</a><br><a href="https://wisemodel.cn/models/ZhipuAI/CogVideoX-5b">🟣 WiseModel</a></td>
     <td style="text-align: center;"><a href="https://huggingface.co/THUDM/CogVideoX-5b-I2V">🤗 HuggingFace</a><br><a href="https://modelscope.cn/models/ZhipuAI/CogVideoX-5b-I2V">🤖 ModelScope</a><br><a href="https://wisemodel.cn/models/ZhipuAI/CogVideoX-5b-I2V">🟣 WiseModel</a></td>
diff --git a/README_zh.md b/README_zh.md
index c66fc85..8188db0 100644
--- a/README_zh.md
+++ b/README_zh.md
@@ -182,13 +182,13 @@ CogVideoX是 [清影](https://chatglm.cn/video?fr=osm_cogvideox) 同源的开源
   </tr>
   <tr>
     <td style="text-align: center;">单GPU显存消耗<br></td>
-    <td colspan="2" style="text-align: center;"><a href="https://github.com/THUDM/SwissArmyTransformer">SAT</a> BF16: 66GB <br></td>
+    <td colspan="2" style="text-align: center;"><a href="https://github.com/THUDM/SwissArmyTransformer">SAT</a> BF16: 76GB <br><b>diffusers BF16 : 10GB起* </b><br><b>diffusers INT8(torchao): 7G起* </b></td>
     <td style="text-align: center;"><a href="https://github.com/THUDM/SwissArmyTransformer">SAT</a> FP16: 18GB <br><b>diffusers FP16: 4GB起* </b><br><b>diffusers INT8(torchao): 3.6G起*</b></td>
     <td colspan="2" style="text-align: center;"><a href="https://github.com/THUDM/SwissArmyTransformer">SAT</a> BF16: 26GB <br><b>diffusers BF16 : 5GB起* </b><br><b>diffusers INT8(torchao): 4.4G起* </b></td>
   </tr>
   <tr>
     <td style="text-align: center;">多GPU推理显存消耗</td>
-    <td colspan="2" style="text-align: center;"><b>不支持</b><br></td>
+    <td colspan="2" style="text-align: center;"><b>BF16: 24GB* using diffusers</b><br></td>
     <td style="text-align: center;"><b>FP16: 10GB* using diffusers</b><br></td>
     <td colspan="2" style="text-align: center;"><b>BF16: 15GB* using diffusers</b><br></td>
   </tr>
@@ -226,7 +226,8 @@ CogVideoX是 [清影](https://chatglm.cn/video?fr=osm_cogvideox) 同源的开源
   </tr>
   <tr>
     <td style="text-align: center;">下载链接 (Diffusers)</td>
-    <td colspan="2" style="text-align: center;"> 即将推出 </td>
+    <td style="text-align: center;"><a href="https://huggingface.co/THUDM/CogVideoX1.5-5B">🤗 HuggingFace</a><br><a href="https://modelscope.cn/models/ZhipuAI/CogVideoX1.5-5B">🤖 ModelScope</a><br><a href="https://wisemodel.cn/models/ZhipuAI/CogVideoX1.5-5B">🟣 WiseModel</a></td>
+    <td style="text-align: center;"><a href="https://huggingface.co/THUDM/CogVideoX1.5-5B-I2V">🤗 HuggingFace</a><br><a href="https://modelscope.cn/models/ZhipuAI/CogVideoX1.5-5B-I2V">🤖 ModelScope</a><br><a href="https://wisemodel.cn/models/ZhipuAI/CogVideoX1.5-5B-I2V">🟣 WiseModel</a></td>
     <td style="text-align: center;"><a href="https://huggingface.co/THUDM/CogVideoX-2b">🤗 HuggingFace</a><br><a href="https://modelscope.cn/models/ZhipuAI/CogVideoX-2b">🤖 ModelScope</a><br><a href="https://wisemodel.cn/models/ZhipuAI/CogVideoX-2b">🟣 WiseModel</a></td>
     <td style="text-align: center;"><a href="https://huggingface.co/THUDM/CogVideoX-5b">🤗 HuggingFace</a><br><a href="https://modelscope.cn/models/ZhipuAI/CogVideoX-5b">🤖 ModelScope</a><br><a href="https://wisemodel.cn/models/ZhipuAI/CogVideoX-5b">🟣 WiseModel</a></td>
     <td style="text-align: center;"><a href="https://huggingface.co/THUDM/CogVideoX-5b-I2V">🤗 HuggingFace</a><br><a href="https://modelscope.cn/models/ZhipuAI/CogVideoX-5b-I2V">🤖 ModelScope</a><br><a href="https://wisemodel.cn/models/ZhipuAI/CogVideoX-5b-I2V">🟣 WiseModel</a></td>