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Single Language Model (LM) for conditional music generation. Operates with compressed music tokens, eliminating the need for multiple models. Generates high-quality samples while guided by text or melodies. Extensive evaluation shows MusicGen outperforms baseline models.
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MusicGen is an AI music generation tool developed by Meta that can generate high-quality music samples from simple text prompts, with the ability to upload audio clips for extra guidance.
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. In advanced mode you can interact with the model directly. The completions will take longer, but you’ll be creating an entirely new piece.
Illustration: Ben Barry. We’re introducing Jukebox, a neural net that generates music, including rudimentary singing, as raw audio in a variety of genres and artist styles. We’re releasing the model weights and code, along with a tool to explore the generated samples.
Discover, create, and share music with the world. Use the latest technology to create AI music in seconds.
MusicGen is a text-to-music model capable of genreating high-quality music samples conditioned on text descriptions or audio prompts. It is a single stage auto-regressive Transformer model trained over a 32kHz EnCodec tokenizer with 4 codebooks sampled at 50 Hz.