Google's Lyria 3 AI music model now creates 30-second tracks from text or images in Gemini app, featuring automatic lyrics and SynthID watermarking. (Read More)Google's Lyria 3 AI music model now creates 30-second tracks from text or images in Gemini app, featuring automatic lyrics and SynthID watermarking. (Read More)

Google DeepMind Lyria 3 Launches AI Music Generation in Gemini App

2026/02/24 01:52
3 min di lettura
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Google DeepMind Lyria 3 Launches AI Music Generation in Gemini App

Joerg Hiller Feb 23, 2026 17:52

Google's Lyria 3 AI music model now creates 30-second tracks from text or images in Gemini app, featuring automatic lyrics and SynthID watermarking.

Google DeepMind Lyria 3 Launches AI Music Generation in Gemini App

Google DeepMind has rolled out Lyria 3, its most advanced generative music model, within the Gemini app as of February 18, 2026. The tool lets users create original 30-second tracks using text prompts, photos, or video uploads—a notable expansion of AI capabilities into creative audio production.

The upgrade from Lyria 2 brings automatic lyrics generation, meaning users no longer need to write their own words. Simply describe a theme like "a love song" or "a track about success," and the model handles the rest. For those who prefer control, custom lyrics still work—just prefix them with "Lyrics:" in your prompt.

How It Works

Access Lyria 3 through the "create music" option in the Gemini app. From there, you've got several input methods. Text prompts can specify genre, era, instruments, vocal style, and song dynamics. Want '90s skate punk with fast drums? Done. Prefer blending K-pop with Motown influences? The model accommodates genre mashups.

Visual inputs add another dimension. Upload a vacation photo, pet picture, or original artwork, and Lyria analyzes elements like subjects, clothing, and backgrounds to generate a musical match. The same applies to video clips.

Creative Controls

Specificity pays off with Lyria 3. Users can define whether vocals come from a male or female singer, specify vocal range from baritone to soprano, and add texture descriptors like "gravelly" or "breathy." Instrumental choices extend beyond genre defaults—adding '80s synth to a 1950s jazz foundation is fair game.

Song dynamics also respond to prompting. A quiet piano intro building to an explosive chorus, purely instrumental sections, or vocals that split into harmonies as tracks progress—all achievable through detailed instructions.

Safeguards Built In

Google has implemented SynthID watermarking across all Lyria 3 outputs, making AI-generated content imperceptibly traceable. The company also filters artist name references in prompts, treating them as broad stylistic inspiration rather than targets for direct imitation—a move addressing ongoing concerns about AI music mimicking specific performers.

Finished tracks download as MP3 or MP4 files for sharing on social platforms or messaging apps. The 30-second limit keeps outputs focused, though it also constrains more ambitious musical ideas.

Google parent Alphabet trades at $313.99 as of February 23, with market cap sitting at $3.80 trillion. Whether AI music generation moves that needle remains unclear, but the feature positions Gemini as a more versatile creative assistant against competing AI platforms still focused primarily on text and image generation.

Image source: Shutterstock
  • google
  • ai
  • deepmind
  • lyria 3
  • gemini
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