diff --git a/README.md b/README.md
index c562c79..cbf04d8 100644
--- a/README.md
+++ b/README.md
@@ -58,22 +58,22 @@ python app.py
 
 To generate 3D meshes from images via command line, simply running:
 ```bash
-python run.py configs/instant-mesh-large.yaml examples/ --save_video
+python run.py configs/instant-mesh-large.yaml examples/hatsune_miku.png --save_video
 ```
 
 We use [rembg](https://github.com/danielgatis/rembg) to segment the foreground object. If the input image already has an alpha mask, please specify the `no_rembg` flag:
 ```bash
-python run.py configs/instant-mesh-large.yaml examples/ --save_video --no_rembg
+python run.py configs/instant-mesh-large.yaml examples/hatsune_miku.png --save_video --no_rembg
 ```
 
 By default, our script exports a `.obj` mesh with vertex colors, please specify the `--export_texmap` flag if you hope to export a mesh with a texture map instead (this will cost longer time):
 ```bash
-python run.py configs/instant-mesh-large.yaml examples/ --save_video --export_texmap
+python run.py configs/instant-mesh-large.yaml examples/hatsune_miku.png --save_video --export_texmap
 ```
 
 Please use a different `.yaml` config file in the [configs](./configs) directory if you hope to use other reconstruction model variants. For example, using the `instant-nerf-large` model for generation:
 ```bash
-python run.py configs/instant-nerf-large.yaml examples/ --save_video
+python run.py configs/instant-nerf-large.yaml examples/hatsune_miku.png --save_video
 ```
 **Note:** When using the `NeRF` model variants for image-to-3D generation, exporting a mesh with texture map by specifying `--export_texmap` may cost long time in the UV unwarping step since the default iso-surface extraction resolution is `256`. You can set a lower iso-surface extraction resolution in the config file.