MusicLDM MusicLDM was proposed in MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies by Ke Chen, Yusong Wu, Haohe Liu, Marianna Nezhurina, Taylor Berg-Kirkpatrick, Shlomo Dubnov.
MusicLDM takes a text prompt as input and predicts the corresponding music sample. Inspired by Stable Diffusion and AudioLDM,
MusicLDM is a text-to-music latent diffusion model (LDM) that learns continuous audio representati