Prompt: funk pop, electropop, hyperpop, funk bass, electric guitar, female vocal, 95 bpm
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Lyria
Our most advanced music generation model, now up to 3 minutes long
Direct the details
Compose with freedom and technical control. Define realistic vocal styles and acoustic preferences to find the sound you’re looking for.
Prompt for the length you need
Generate cohesive tracks matching your project's exact duration — whether you need a quick 60-second clip, a half-length track, or a full 3-minute song.
Compose with images
Upload an image and ask Lyria to transform it into a custom high-fidelity track.
Explore the latest
Introducing Lyria 3.5
Our newest music generation model delivers significant advancements across musicality, lyrics, and vocal quality, empowering you to craft richer tracks.
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Prompt: Full 3-minute Bossa-Trip-Hop track with a heavy 82 BPM MPC-swung drum groove, UK electronic/glitch design, and clean vocal separation.
Prompt: upbeat and energizing Spanish dance pop and reggaeton track
Prompt: Stylish French alternative pop with warm analog synths, a groovy rounded bassline, soft funk guitar, and airy disco-tinged drums. 110 BPM, B minor. Breathy, elegant female vocal front and center, half-whispered verses opening into a smooth melodic chorus, delicate stacked harmonies, effortless and cool.
Prompt: neosoul, rnb, deep male baritone vocal, groovy pocket, chill, slow sensual, rhodes keys
Prompt: electronica, hard groove, glitch hop, electropop, funk bass, female vocal, 90 bpm
Prompt: Brazilian funk carioca 130–135 BPM rhythm
Prompt: Reggaeton, Dembow, Neoperreo with distorted synthesizers, lo-fi aesthetics, Chilean vocal style, female empowerment
Prompt: Hindi singer songwriter male indie - delicate, acoustic guitar, light percussion, strings
Prompt: Afro-pop jazz fusion over Caribbean grooves: syncopated calypso percussion, steel pan accents, warm horn section, melodic walking bassline, jazzy seventh chords on keys. 108 BPM, F major. Playful male vocal with jazz phrasing and light scat runs front and center, horns answering each line, rich layered chorus harmonies.
Prompt: glitch electronica, chopped stuttering percussion, soft clicks, vinyl dust, warm evolving pads, soft airy female vocal, phrases sliced and re-pitched into glitch textures, breathy sustained notes
Lyria helps you express, explore, and experiment with high-fidelity music, using prompts to create tracks with natural flow from note to note.
Model family
Fine-tune the details and generate professional-grade audio with Lyria. Our family of music generation models can create clips and tracks, or deliver a constant stream of music.
Lyria 3.5
Our latest model with improved vocals, musicality, and variable song lengths
Lyria
Explore new genres, play with soundscapes, and find musical inspiration
Lyria RealTime
Designed for real-time, interactive music generation.
Magenta RealTime
Our Lyria open model explores the role of machine learning as a tool in the creative process.
Your musical collaborator
Lyria is our most advanced AI music generation tool. We’ve developed it with input from producers and musicians so it understands musicality – from rhythm to arrangement.
Describe your track, then dial in the details you want. Lyria handles the complexity, putting new musical possibilities at your fingertips.
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Create cohesive tracks
Turn quick ideas into high-fidelity music that flows naturally from start to finish, up to 3 minutes long.
Explore global languages and genres
Generate vocals in different languages, and create music spanning genres from pop to funk to Motown.
Compose with images
Upload an image and ask Lyria to transform it into a custom high-fidelity track.
Dial in the details
Compose with freedom and technical control. Define realistic vocal styles and direct the details to find the sound you’re looking for.
Export professional-grade audio
Background ambience or mainstage anthem – produce crisp, clear tracks ready for your projects.
Creating your prompts
Keep it simple with a rough idea of what you want – like ‘an upbeat birthday tune’. Or describe the details for more control, like tempo and dynamics. Don’t forget to experiment as you go.
Powerful composition, endless exploration
Create pieces in countless styles using Lyria.
See it, hear it
Lyria takes images and turns them into music.
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Lyrics and vocals
Write your own lyrics, or generate them around specific subjects or themes. Then express them with realistic, natural, and nuanced vocals.
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Artist partnerships
See how our artists partners are experimenting with AI
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Wyclef Jean
Legendary producer Wyclef Jean gets hands on with a new style of creative expression. Watch Wyclef produce, curate and design alongside Music AI Sandbox.
Dear Upstairs Neighbors (Official soundtrack)
Scoring the animated short Dear Upstairs Neighbors, Yung Spielburg leant on Lyria to move beyond the limits of traditional instrumentation. The result is a collection of signature, sonic timbres that are not just unique, but technically impossible to manifest by any other means.
Safety
We believe AI should enhance human creativity, not replace it. We’re working directly with artists to gather feedback and shape guardrails that address their concerns. By doing this, we ensure this tool empowers creators and helps them realize the possibilities of AI in their work.
We use extensive filtering and data labeling to minimize harmful content in datasets and reduce the likelihood of harmful lyrics. Audio generation in Lyria has our latest privacy and safety features. All of our tracks are imperceptibly watermarked with SynthID technology, allowing you to detect whether music has been created or edited using AI.
Limitations
While Lyria can create a wide range of music, we’re still working on improving key capabilities. You should always carefully check that the tracks you create fit your vision.
Try Lyria
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Lyria 3 was developed by Ágoston Weisz, Aldo Chow, Allen Zhang, Andrea Agostinelli, Andrea Debellis, Calin Cruceru, Cătălina Cangea, Colby Knight, Cristina Nader Vasconcelos, Eva Cheng, Eyal Rozenberg, Gladys Tyen, Hayk Martiros, Hongliang Fei, Jason Baldridge, Jeff Chang, Jingwei Zhou, Jon Weinman, Louis Owen, Matej Kastelic, Mauricio Zuluaga, Mauro Verzetti, Michael Dooley, Moon Park, Myriam Hamed Torres, Nick Zammuto, Norman Casagrande, Ondrej Skopek, Oscar Akerlund, Ozgun Bursalioglu, Pen Li, Vikas Verma. Additional contributions provided by Adam Roberts, Alon Ziv, Antoine Caillon, Ari Troper, Asahi Ushio, Beat Gfeller, Catherine Zhang, Carlos Hernandez, Carrie Zhang, Cassie Tarakajian, Chris Deaner, Colin McArdell, Di Li, Divya Patel, Eleni Shaw, Ethan Manilow, Gavin Liu, Ian Simon, Ilaria Manco, Jesse Engel, Jordi Pont-Tuset, Josephine Cowley, Kehang Han, Krishmin Rai, Li Li, Lluis Castrejon, Maria Sheyanova, Mikhail Dektiarev, Noah Constant, Rey Coaguila, Tayniat Khan, Tobenna Peter Igwe, Vivek Kumar, and Yotam Mann.
Special thanks to Aäron van den Oord, Mahyar Bordbar, Douglas Eck, Tulsee Doshi, Tom Hume, Koray Kavukcuoglu and Demis Hassabis for their insightful guidance and support throughout the development process.
We also acknowledge the many other individuals who contributed across Google DeepMind and Alphabet, including our colleagues at YouTube (a particular shout out to the YouTube Artist Partnerships team led by Vivien Lewit for their support partnering with the music industry).
Lyria 2 was developed by Andrea Agostinelli, Asahi Ushio, Beat Gfeller, Brian McWilliams, Ethan Manilow, Kazuya Kawakami, Keyang Xu, Matej Kastelic, Mauricio Zuluaga, Mauro Verzetti, Myriam Hamed Torres, Ondrej Skopek, Pavel Khrushkov, Pen Li, Tobenna Peter Igwe, and Zalan Borsos. Additional contributions provided by Adam Roberts, Benigno Uria, Carrie Zhang, Chris Deaner, Colin McArdell, DY Kim, Eleni Shaw, Hongliang Fei, Jason Baldridge, Jesse Engel, Li Li, Luyu Wang, Nemanja Spasojevic, Noah Constant, Ruba Haroun, Tayniat Khan, Volodymyr Mnih, Yan Wu and Zoe Ashwood.
