diff --git a/tensorflow/examples/android/README.md b/tensorflow/examples/android/README.md
index fbbe9f276bc..d2e48450529 100644
--- a/tensorflow/examples/android/README.md
+++ b/tensorflow/examples/android/README.md
@@ -12,6 +12,8 @@ Inference is done using the [TensorFlow Android Inference Interface](../../../te
 which may be built separately if you want a standalone library to drop into your
 existing application.
 
+A device running Android 5.0 (API 21) or higher is required to run the demo.
+
 ## Current samples:
 
 1. [TF Classify](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/android/src/org/tensorflow/demo/ClassifierActivity.java):
@@ -27,17 +29,25 @@ existing application.
         (https://arxiv.org/abs/1610.07629) to restyle the camera preview image
         to that of a number of different artists.
 
+<img src="sample_images/classify1.jpg" width="33%">
+<img src="sample_images/stylize1.jpg" width="33%">
+<img src="sample_images/detect1.jpg" width="33%">
+
 ## Prebuilt APK:
 
 If you just want the fastest path to trying the demo, you may download the
 nightly build
-[here](https://ci.tensorflow.org/view/Nightly/job/nightly-android/).
-A device running Android 5.0 (API 21) or higher is required.
+[here](https://ci.tensorflow.org/view/Nightly/job/nightly-android/). Expand the
+"View" and then the "out" folders under "Last Successful Artifacts to find
+tensorflow_demo.apk. Also available are precompiled native libraries that you
+may drop into your own applications. See
+[tensorflow/contrib/android/README.md](../../../tensorflow/contrib/android/README.md)
+for more details.
 
 ## Running the Demo
 
-Once the app is installed it can be started via the "TF Classify" and
-"TF Detect" and icons, which have the orange TensorFlow logo as their icon.
+Once the app is installed it can be started via the "TF Classify", "TF Detect"
+and "TF Stylize" icons, which have the orange TensorFlow logo as their icon.
 
 While running the activities, pressing the volume keys on your device will
 toggle debug visualizations on/off, rendering additional info to the screen
@@ -92,19 +102,20 @@ The NDK API level may remain at 21.
 The TensorFlow `GraphDef`s that contain the model definitions and weights
 are not packaged in the repo because of their size. They are downloaded
 automatically and packaged with the APK by Bazel via a new_http_archive defined
-in WORKSPACE during the build process.
+in `WORKSPACE` during the build process.
 
 **Optional**: If you wish to place the models in your assets manually (E.g. for
-non-Bazel builds), remove the `inception_5` and `mobile_multibox` entries in
-`BUILD` and download the archives yourself to the `assets` directory in the
-source tree:
+non-Bazel builds), remove all of the `model_files` entries from the `assets`
+list in `tensorflow_demo` found in the `[BUILD](BUILD)` file. Then download
+and extract the archives yourself to the `assets` directory in thesource tree:
 
 ```bash
-$ curl -L https://storage.googleapis.com/download.tensorflow.org/models/inception5h.zip -o /tmp/inception5h.zip
-$ curl -L https://storage.googleapis.com/download.tensorflow.org/models/mobile_multibox_v1.zip -o /tmp/mobile_multibox_v1.zip
-
-$ unzip /tmp/inception5h.zip -d tensorflow/examples/android/assets/
-$ unzip /tmp/mobile_multibox_v1.zip -d tensorflow/examples/android/assets/
+BASE_URL=https://storage.googleapis.com/download.tensorflow.org/models
+for MODEL_ZIP in inception5h.zip mobile_multibox_v1a.zip stylize_v1.zip
+do
+  curl -L ${BASE_URL}/${MODEL_ZIP} -o /tmp/${MODEL_ZIP}
+  unzip /tmp/${MODEL_ZIP} -d tensorflow/examples/android/assets/
+done
 ```
 
 This will extract the models and their associated metadata files to the local
@@ -116,7 +127,7 @@ After editing your WORKSPACE file to update the SDK/NDK configuration,
 you may build the APK. Run this from your workspace root:
 
 ```bash
-$ bazel build -c opt //tensorflow/examples/android:tensorflow_demo
+bazel build -c opt //tensorflow/examples/android:tensorflow_demo
 ```
 
 If you get build errors about protocol buffers, run
@@ -130,7 +141,7 @@ later device, then after building use the following command from your workspace
 root to install the APK:
 
 ```bash
-$ adb install -r bazel-bin/tensorflow/examples/android/tensorflow_demo.apk
+adb install -r bazel-bin/tensorflow/examples/android/tensorflow_demo.apk
 ```
 
 ### Android Studio