Document unified inference with user-provided images

README.md

@@ -69,14 +69,15 @@ cd TransNormal-2
 python -m venv .venv
 source .venv/bin/activate
 python -m pip install -r requirements.txt
-python inference.py --image examples/input/glass_vase.jpg --domain transparent --output_dir outputs/glass --save_npy
+python inference.py --input path/to/transparent_image.jpg --domain transparent --output_dir outputs/glass --save_npy
 ```
 
+Replace `path/to/transparent_image.jpg` with your own image.
 Use Python 3.10 and a CUDA GPU with BF16 support. Follow the base model's access
 instructions before its first download; run `hf auth login` if authentication is
 required. The task weights in this repository download without authentication.
-For ordinary scenes, use the default `--domain opaque`. See GitHub for batch
-inference, CPU offload, and the Python API.
+For ordinary scenes, use the default `--domain opaque`. The same `--input` option
+also accepts a folder of images. See GitHub for CPU offload and the Python API.
 
 This repository contains the weights and configuration. The custom TransNormal-2
 pipeline is provided in the GitHub repository; a generic Diffusers image-generation