Update README.md

README.md

@@ -46,19 +46,7 @@ pip install -r requirements.txt
 
 ### How to Use
 
-Please download model checkpoint from [here](https://drive.google.com/file/d/1ITVqdDLmY5EISj4vsZ2O4sN5mZv9fUfB/view?usp=sharing), and then put it under the `ckpts/` directory.
-
-We provide multiview grid data examples under `./examples/` generated using [Zero123++](https://github.com/SUDO-AI-3D/zero123plus). Our inference script loads pretrained checkpoint, runs fast texture refinement,  reconstructs the textured mesh from multiview grid data and exports the mesh. There will be 3 files in the output folder, including exported mesh in `.obj` format, rotating gif visuals of mesh and rotating gif visuals of NeRF.
-
-To infer on multiview data from other sources, simply change camera parameters [here](https://github.sc-corp.net/Snapchat/GTR/blob/main/scripts/prepare_mv.py#L153-L157) accordingly to match the multiview data.
-
-```bash
-# Preprocessing
-python3 scripts/prepare_mv.py --in_dir ./examples/cute_horse.png --out_dir ./examples/cute_horse
-
-# Inference
-python3 scripts/inference.py --ckpt_path ckpts/full_checkpoint.pth --in_dir ./examples/cute_horse --out_dir ./outputs/cute_horse 
-```
+Please follow instructions [here](https://github.com/snap-research/snap_gtr/tree/main?tab=readme-ov-file#how-to-use).
 
 ## Citation