Lyria 2

We’ve created MuseNet, a deep neural network that can generate 4-minute musical compositions with 10 different instruments and can combine styles from country to Mozart to the Beatles. MuseNet was not explicitly programmed with our understanding of music, but instead discovered patterns of harmony, rhythm, and style by learning to predict the next token in hundreds of thousands of MIDI files. MuseNet uses the same general-purpose unsupervised technology as GPT-2, a large-scale transformer model trained to predict the next token in a sequence, whether audio or text. Since MuseNet knows many different styles, we can blend generations in novel ways. We’re excited to see how musicians and non-musicians alike will use MuseNet to create new compositions! Choose a composer or style, an optional start of a famous piece, and start generating. This lets you explore the variety of musical styles the model can create.

HiMusic is a web-based AI music generation and analysis platform that delivers professional-grade composition and deep musical insights in seconds. Powered by Magenta RT and trained on millions of tracks, it enables unlimited, studio-quality creation of instrumental arrangements, melodies, harmonies, rhythms, and even lyrics through an intuitive interface with smart presets, style and instrument selection, and title customization. Users can generate complete songs without login, refine tracks using advanced AI-driven editing tools and historical style analysis, and export high-fidelity audio free of watermarks. Real-time generation and analysis features, such as pattern recognition, interactive feedback, and daily curated inspiration, empower beginners and professionals alike to experiment with genres ranging from pop and EDM to orchestral and rock.