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Researchers at Meta recently shared MAGNeT, a single non-autoregressive transformer model for text-to-music & text-to-sound generation capable of generating audio on-par with the quality of SOTA models — at 7x the speed. MAGNeT is open source as part of AudioCraft. Hear audio samples and get more details on this... show more

AI at Meta

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122,001 views • 2 years ago •via X (Twitter)

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10 Comments

AI at Meta2 years ago

Unlike prior non-autoregressive modeling work, MAGNeT doesn't require semantic token conditioning, model cascading or audio prompting — it employs a full text-to-audio using a single non-autoregressive Transformer. Paper ➡️ Code ➡️

MindBranches2 years ago

Really cool research by Meta on text-music models that are 7x as fast as current state of the art. Here’s a summary of the research paper they released:

Mark Zuckerberg - CEO of Facebook - Parody2 years ago

Nice work team

Arihant Parsoya2 years ago

Wow, this an amazing model for text-to-music and text-to-sound generation. Curious to see how MAGNet compares to other models.

A2 years ago

AI music will make to our playlists soon

ZC2 years ago

Niceee

All Lifetime Deals2 years ago

This is amazing work, Meta! The speed and quality of MAGNeT's audio generation is truly impressive.

Naina Chaturvedi2 years ago

++ thanks for sharing. Will be covering it here -

Filippo Gonteri2 years ago

Hope to see MAGNet soon on tour or in some festival #AI #music

ATou2 years ago

@SaveToNotion

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