n the latent space. Using beat-synchronous data augmentation strategies encourages the model to interpolate between the training samples, but stay within the domain of the training data. The result is generated music that is more diverse while staying faithful to the corresponding style. The abstract of the paper is the following: Diffusion models have shown promising results in cross-modal generation tasks, including text-to-image and text-to-