Update README.md

README.md

@@ -17,10 +17,7 @@ Representation Autoencoders (RAEs) provide a simplified and powerful alternative
 ## Usage
 For detailed instructions on installation, training, and inference, please visit the [official GitHub repository](https://github.com/ZitengWangNYU/Scale-RAE).
 
-The implementation supports GPU inference and TPU training. To generate images with pre-trained models:
-```bash
-python cli.py t2i --prompt "Can you generate a photo of a cat on a windowsill?"
-```
+**This decoder is also directly compatitable with original RAE [codebase](https://github.com/bytetriper/RAE).** Try it out by simply swapping the encoder with google/siglip2-so400m-patch14-224!
 
 ## Citation
 ```bibtex