diff --git a/docs/tutorials/mobile/superres.md b/docs/tutorials/mobile/superres.md
index 9bc521c19d..8b302b821c 100644
--- a/docs/tutorials/mobile/superres.md
+++ b/docs/tutorials/mobile/superres.md
@@ -33,13 +33,13 @@ We provide a convenient Python script that exports the PyTorch model into ONNX f
 
     ```bash
     pip install torch
+    pip install pillow
     pip install onnx
     pip install onnxruntime
-    pip install onnxruntime-extensions
-    pip install pillow
+    pip install --index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/ORT-Nightly/pypi/simple/ onnxruntime-extensions
     ```
-
-   A note on versions: the best super resolution results are achieved with ONNX opset 18 (with its support for the Resize operator with anti-aliasing), which is supported by onnx 1.13.0 and onnxruntime 1.14.0 and later.
+  
+    A note on versions: the best super resolution results are achieved with ONNX opset 18 (with its support for the Resize operator with anti-aliasing), which is supported by onnx 1.13.0 and onnxruntime 1.14.0 and later. The onnxruntime-extensions package is a pre-release version. The release version will be available soon.
 
 2. Then download the script and test image from the onnxruntime-extensions GitHub repository (if you have not already cloned this repository):