MusicLM is a model that can generate high-fidelity music based on text descriptions. It can generate 24kHz audio with music styles consistent with the text description and supports conditional generation based on melodies. By leveraging the MusicCaps dataset, the model outperforms previous systems in terms of audio quality and consistency with text descriptions. MusicLM can be applied to various scenarios, such as generating music snippets, generating music based on artwork descriptions, and more.