Our latest music generation model
Lyria 2 delivers high-fidelity music and professional-grade audio, capturing subtle nuances across a range of genres and intricate compositions.
Lyria 2 is an advanced AI model, developed with input and insights from musicians and producers. Artists can use text prompts to shape the music, while controlling the key, BPM, and other characteristics.
High-fidelity music
Generates music with remarkable detail and richness, capturing nuance across different instruments and playing styles. Produces professional-grade 48kHz stereo audio, ready for seamless integration into any project.
Granular creative control
Allows musicians to control fine details within their compositions, so they can create pieces that match their intent and vision.
Diverse musical possibilities
Allows composition across a wide range of genres and styles. Classical, jazz, pop, electronic — musicians can steer compositions towards their tastes, and explore diverse musical ideas along the way.
Musicians can create pieces in countless styles using Lyria 2. Here are a few examples to showcase its potential range.
Keep the music flowing
Lyria 2 can create new starting points, suggest harmonies, or draft longer arrangements. It helps musicians focus on their broader visions — or jump past writer’s block.
Accelerate creativity
Composing complex passages and creating variations on themes can take hours, or even days. Lyria 2 accelerates the process, allowing musicians to bring their musical ideas to life in no time.
Uncover new styles
Discover unfamiliar genres, techniques, and possibilities. Experiment with unexpected melodies and harmonies. Lyria 2 can broaden musical understanding and help people explore new creative avenues.
Supporting creativity
Powered by Lyria 2, Music AI Sandbox is a tool we’ve developed with insights from music industry professionals.
A musical playground
Create new instrumental or vocal parts for existing pieces, or explore new directions — amplifying creativity. Music AI Sandbox helps artists push into unexplored territory, from unique soundscapes to songs that take musicality to its limits.
Built with, and for, musicians
We created Music AI Sandbox in collaboration with artists. Their input has guided our development, resulting in a set of responsibly-created tools that are practically useful for artists of all levels — opening doors to music creation.
Learn about our previous experiments, in collaboration with artists.
We teamed up with Grammy Award-winning Indian music icon Shankar Mahadevan to explore the exciting fusion of AI and India’s musical traditions. The music of India, a powerhouse of artistic influence widely known for its vibrant Bollywood and booming regional film industries, draws from traditions like Carnatic, Hindustani, folk, dance and devotional genres. This richness provided the perfect canvas for exploration using our Music AI Sandbox.
Results for illustrative purposes
We believe AI should enhance human creativity, not replace it. We’re working directly with artists to gather feedback and to develop 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’re also deploying Lyria 2 with our latest privacy, safety and security technologies, including our innovative watermarking tool SynthID — which embeds an imperceptible digital watermark directly into the audio output, making it identifiable as AI-generated content but otherwise imperceptible.
While Lyria 2 demonstrates the incredible potential of AI for music generation, we are still working to develop and refine its performance — and to expand its coverage of languages and genres.
Lyria 2 is currently available to a limited number of trusted testers, who are helping us develop and refine the experience. If you're interested in becoming a tester, please share a few details to join the waitlist.
Lyria 2 was developed by Asahi Ushio, Beat Gfeller, Brian McWilliams, Kazuya Kawakami, Keyang Xu, Matej Kastelic, Mauro Verzetti, Myriam Hamed Torres, Ondrej Skopek, Pavel Khrushkov, Pen Li, Tobenna Peter Igwe, and Zalan Borsos. Additional contributions provided by Adam Roberts, Andrea Agostinelli, Benigno Uria, Carrie Zhang, Chris Deaner, Colin McArdell, DY Kim, Eleni Shaw, Ethan Manilow, Hongliang Fei, Jason Baldridge, Jesse Engel, Li Li, Luyu Wang, Mauricio Zuluaga, Nemanja Spasojevic, Noah Constant, Ruba Haroun, Tayniat Khan, Volodymyr Mnih, Yan Wu and Zoe Ashwood.
Watch
Prompt: Hazy, fractured UK Garage, Bedroom Recording, Distorted and melancholic. Instrumental. A blend of fractured drum patterns, vocal samples that have been manipulated and haunting ambient textures, featuring heavy sub-bass, distorted synths, sparse melodic fragments.
