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README.md

@@ -59,10 +59,19 @@ the `LiteRTDemo` sample). Load `InternVL3-1B.litertlm` with the **image (vision)
 (modalities `Modality.textImage` / `[.vision]` — a vision-only bundle, no audio tower), attach a photo,
 and ask a question.
 
-## Run on Android
+## Run on Android — Google AI Edge Gallery
 
-Push the file to a device and open it with the official **Google AI Edge Gallery** app, or use the
-LiteRT-LM Android runtime directly. The bundle carries the tokenizer + chat template + image config.
+Run this model **with image input** in the official
+[Google AI Edge Gallery](https://github.com/google-ai-edge/gallery) app — no custom app needed
+(the bundle carries the tokenizer, chat template, and image preprocessing config):
+
+1. Push the bundle onto the phone (or download it there directly from this repo):
+   `adb push InternVL3-1B.litertlm /sdcard/Download/`
+2. Open the Gallery app, tap the **+** icon (bottom-right) and pick `InternVL3-1B.litertlm` in the file picker.
+3. In the **Import Model** dialog, **check "Support image"** (required for image input), pick **GPU** (fast) or **CPU**, then tap **Import**.
+4. Open the **Ask Image** task, choose the imported model, attach a photo, and ask.
+
+> **Tip:** on the **GPU** backend use one image per conversation (a known GPU-delegate trait of `fast_vlm` models); pick **CPU** if you want multiple images in one chat.
 
 ## Conversion notes