diff --git a/README.md b/README.md
index fe66d75..e757cbb 100644
--- a/README.md
+++ b/README.md
@@ -155,7 +155,7 @@ We plan to provide more examples regarding different tasks (e.g. vision pretrain
 ### Stability Evaluation
 
 <p align="center">
-  <img src="https://publicmodel.blob.core.windows.net/torchscale/pic/convergence.png" width="800"/>
+  <img src="https://publicmodel.blob.core.windows.net/torchscale/pic/convergence.png?sv=2020-04-08&st=2023-08-11T03%3A09%3A09Z&se=2053-08-12T03%3A09%3A00Z&sr=c&sp=rl&sig=3b6nDda%2Fu0vD6E%2BhoTO%2BHfNSnSlUfgvXFV%2FCNKquWjE%3D" width="800"/>
 </p>
 
 The training curve is smooth by using TorchScale, while the baseline Transformer cannot converge.
@@ -163,7 +163,7 @@ The training curve is smooth by using TorchScale, while the baseline Transformer
 ### Scaling-up Experiments
 
 <p align="center">
-  <img src="https://publicmodel.blob.core.windows.net/torchscale/pic/scaling_curve.png" width="800"/>
+  <img src="https://publicmodel.blob.core.windows.net/torchscale/pic/scaling_curve.png?sv=2020-04-08&st=2023-08-11T03%3A09%3A09Z&se=2053-08-12T03%3A09%3A00Z&sr=c&sp=rl&sig=3b6nDda%2Fu0vD6E%2BhoTO%2BHfNSnSlUfgvXFV%2FCNKquWjE%3D" width="800"/>
 </p>
 
 TorchScale supports arbitrary depths and widths, successfully scaling-up the models without pain.