VMix is a technology for improving the aesthetic quality of text-to-image diffusion models through an innovative conditional control method—Value-Mixing Cross-Attention—that systematically enhances the aesthetic presentation of images. As a plug-and-play aesthetic adapter, VMix enhances the quality of generated images while maintaining the generality of visual concepts. The core insight behind VMix is to design a superior conditional control method that enhances the aesthetic performances of existing diffusion models while ensuring alignment between images and text. VMix is flexible enough to be applied to community models for better visual performance without the need for retraining.