table Diffusion and AudioLDM,
MusicLDM is a text-to-music latent diffusion model (LDM) that learns continuous audio representations from CLAP
latents. MusicLDM is trained on a corpus of 466 hours of music data. Beat-synchronous data augmentation strategies are applied to the music samples, both in the time domain and in the latent space. Using beat-synchronous data augmentation strategies encourages the model to interpolate between the training