Update README.md

README.md

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 # Emuru
 
 **Emuru** is a conditional generative model presented at [CVPR2025](https://arxiv.org/pdf/2503.17074) that integrates a T5-based decoder with a Variational Autoencoder (VAE) for image generation conditioned on text and style images. It allows users to combine textual prompts (e.g., style text, generation text) and style images to create new, synthesized images. 
-Training code is released on [GitHub](https://github.com/aimagelab/Zero-Shot-Styled-Text-Image-Generation-but-Make-It-Autoregressive).
+Training code is released on [GitHub](https://github.com/aimagelab/Emuru-autoregressive-text-img).
 
 
 ## Model description