Lyria 3
Explore new genres, play with soundscapes, and find musical inspiration.
Our most advanced music generation model yet
Upload an image and ask Lyria to transform it into a custom high-fidelity track.
Compose with freedom and technical control. Define realistic vocal styles and acoustic preferences to find the sound you’re looking for.
Background ambience or mainstage anthem – produce crisp, clear tracks ready for your projects.
Lyria 3 helps you express, explore, and experiment with high-fidelity music, using prompts to create tracks with natural flow from note to note.
Explore new genres, play with soundscapes, and find musical inspiration.
Designed for real-time, interactive music generation.
Our Lyria open model explores the role of machine learning as a tool in the creative process.
Describe your track, then dial in the details you want. Lyria 3 handles the complexity, putting new musical possibilities at your fingertips.
Turn quick ideas into high-fidelity music that flows naturally from start to finish.
Generate vocals in different languages, and create music spanning genres from pop to funk to Motown.
Upload an image and ask Lyria to transform it into a custom high-fidelity track.
Compose with freedom and technical control. Define realistic vocal styles and direct the details to find the sound you’re looking for.
Background ambience or mainstage anthem – produce crisp, clear tracks ready for your projects.
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.
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.
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Acknowledgements
Lyria 3 was developed by Ágoston Weisz, Andrea Agostinelli, Andrea Debellis, Calin Cruceru, Cătălina Cangea, Cristina Nader Vasconcelos, Eyal Rozenberg, Gladys Tyen, 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, Antoine Caillon, Ari Troper, Asahi Ushio, Beat Gfeller, Catherine Zhang, Carlos Hernandez, Carrie Zhang, Cassie Tarakajian, Chris Deaner, Colin McArdell, Di Li, Eleni Shaw, Ethan Manilow, Ian Simon, Ilaria Manco, Jesse Engel, Jordi Pont-Tuset, Kehang Han, Krishmin Rai, Li Li, Lluis Castrejon, 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.