Add the usage snippet, taken from the inference project's own README

README.md

@@ -17,7 +17,21 @@ Converted with [mlx-forge](https://github.com/dgrauet/mlx-forge).
 
 ## Usage
 
-These weights can be used with [void-model-mlx](https://github.com/dgrauet/void-model-mlx).
+These weights can be used with [void-model-mlx](https://github.com/dgrauet/void-model-mlx):
+
+```bash
+git clone https://github.com/dgrauet/VideoX-Fun-mlx.git
+export VIDEOX_FUN_MLX_PATH=/path/to/VideoX-Fun-mlx
+pip install mlx opencv-python-headless pillow numpy sentencepiece
+
+python -m void_mlx.infer \
+    --sample sample/BigBen \
+    --pass1 weights/void_pass1.safetensors \
+    --pass2 weights/void_pass2.safetensors \
+    --base-model /path/to/CogVideoX-Fun-V1.5-5b-InP-mlx-q8 \
+    --steps 30 --max-frames 13 --height 352 --width 624 \
+    --low-ram --output result.gif
+```
 
 ## Related Projects
 
@@ -30,6 +44,6 @@ These weights can be used with [void-model-mlx](https://github.com/dgrauet/void-
 ## Files
 
 - `config.json` (376.00 B)
-- `split_model.json` (643.00 B)
+- `split_model.json` (702.00 B)
 - `void_pass1.safetensors` (10.38 GB)
 - `void_pass2.safetensors` (10.38 GB)