MusicLM explores ways to generate music based on written descriptions.

google-research.github.io/seanet/musiclm/examp…
MusicLM homepage screenshot

About MusicLM

MusicLM is a Google Research model that generates music from text descriptions. The page presents example outputs, including generation from rich captions, long-form passages that remain consistent over several minutes, and 10-second samples organized by instrument, genre, place, epoch and player experience level.

It also demonstrates Story Mode, which continues audio across a sequence of text prompts, conditioning on both text and a whistled or hummed melody, and conditioning on painting descriptions. The page links to the research paper and to MusicCaps, a dataset of 5.5k music-text pairs with descriptions written by human experts.

Key features

  • Generate music at 24 kHz from text descriptions
  • Maintain consistency over several minutes in long generation
  • Continue audio across sequence of text prompts in Story Mode
  • Transform whistled or hummed melodies according to text style
  • Generate music conditioned on painting title, image and description
  • Release MusicCaps dataset with 5.5k music-text pairs
Best for: Researchers and others reviewing examples of text-described music generation and the associated MusicCaps dataset.
Good for
  • Provides audio examples for many prompt types including instruments and genres
  • Documents long-form, story-mode and melody-plus-text generation approaches
  • Releases MusicCaps dataset with expert-written descriptions for future research

MusicLM at a glance

Type
Website
Pricing
Not confirmed. Check the site
Platforms
Web
Open source
Not stated
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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MusicLM FAQ

What is MusicCaps?
A publicly released dataset of 5.5k music-text pairs with rich descriptions provided by human experts.
Can MusicLM combine text with a melody?
Yes, it can transform whistled and hummed melodies according to the style described in a text caption.
How does Story Mode work?
Audio is generated from a sequence of text prompts that influence how the model continues semantic tokens from the previous caption.
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