What is Lyria?
Lyria is Google DeepMind's family of text-to-music models. You describe the music you want -- genre, mood, instruments, tempo -- and Lyria generates original audio that matches. It's not sampling or remixing existing tracks; it composes new music from scratch.
The latest generation is branded as Lyria 2 for high-fidelity studio-style output and Lyria RealTime for live, interactive generation. Together they power consumer experiences like YouTube's Dream Track and the Music AI Sandbox, and are available to developers on Google Cloud's Vertex AI.
Key Features
Text-to-Music Generation
Describe a song concept in plain English and Lyria generates an original instrumental or vocal track that fits.
Genre and Style Flexibility
Wide coverage across pop, hip-hop, electronic, classical, lo-fi, orchestral, ambient, and more.
High-Fidelity Vocals
Lyria can generate singing in different styles, used most visibly inside YouTube's Dream Track experiments.
Lyria RealTime Streaming
A streaming variant designed for low-latency, interactive music -- steer the genre, mood, or instruments while the track is playing.
Enterprise Access via Vertex AI
Available as a managed model on Google Cloud Vertex AI, with SynthID watermarking on generated audio for provenance tracking.
How Lyria Works
Under the hood, Lyria is a diffusion-style audio model trained on large amounts of music and metadata. When you give it a prompt:
-
1
It reads your description
Your text prompt plus any control inputs (BPM, key, style) are parsed.
-
2
It generates audio waveforms
The model produces waveforms that match your constraints.
-
3
It refines into a finished track
Iterative refinement produces a coherent, high-fidelity output.
Most users interact via a wrapper product:
- --MusicFX โ Google Labs' experimental text-to-music playground
- --Dream Track โ short AI-generated songs inside YouTube Shorts
- --Music AI Sandbox โ a tool for select artists and producers
- --Vertex AI โ API access for developers and enterprises
Use Cases
- --Short-form video: Original background tracks for YouTube Shorts and social clips.
- --Game and app audio: Adaptive, royalty-friendly music inside interactive experiences.
- --Music sketching: Producers using Music AI Sandbox to ideate hooks, drums, or vocal lines.
- --Podcasts and ads: Quick custom intro/outro music without buying stock tracks.
- --Live and interactive media: Lyria RealTime for installations, demos, and on-the-fly soundtracks.
Pros and Cons
Pros
- +High-fidelity output across many genres
- +Lyria RealTime enables live, interactive control
- +SynthID watermarking on generated audio
- +Enterprise-grade Vertex AI access
- +Backed by Google DeepMind research
Cons
- -Consumer access gated by region and waitlists
- -No standalone consumer app -- only Google surfaces
- -Commercial-use rules vary by product and contract
- -Less control than DAW-based workflows
Pricing
There's no single "Lyria subscription" -- pricing depends on the surface you use:
| Surface | Cost | Access |
|---|---|---|
| MusicFX (Google Labs) | Free | Limited by region, usage quotas |
| YouTube Dream Track | Free | Selected creators only |
| Music AI Sandbox | Invite-only | Select artists and producers |
| Vertex AI | Pay-as-you-go | Google Cloud account required |
Availability and pricing change as Google rolls Lyria into more products. Check deepmind.google/technologies/lyria for current details.
Alternatives to Lyria
- --Suno: Consumer-first text-to-song tool with strong vocals and song-length output, easier to access than Lyria.
- --Udio: High-fidelity music generator from ex-DeepMind researchers, strong on nuanced genre handling.
- --ElevenLabs: Best-in-class AI voice generation and increasingly music-adjacent audio features.
- --Stable Audio: Open, developer-friendly ecosystem from Stability AI for instrumental music and sound design.