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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

817,763 subscribers

122,001 просмотров • 2 лет назад •via X (Twitter)

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Комментарии: 10

Фото профиля AI at Meta

AI at Meta2 лет назад

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 ➡️

Фото профиля MindBranches

MindBranches2 лет назад

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:

Фото профиля Mark Zuckerberg - CEO of Facebook - Parody

Mark Zuckerberg - CEO of Facebook - Parody2 лет назад

Nice work team

Фото профиля Arihant Parsoya

Arihant Parsoya2 лет назад

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

Фото профиля A

A2 лет назад

AI music will make to our playlists soon

Фото профиля ZC

ZC2 лет назад

Niceee

Фото профиля All Lifetime Deals

All Lifetime Deals2 лет назад

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

Фото профиля Naina Chaturvedi

Naina Chaturvedi2 лет назад

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

Фото профиля Filippo Gonteri

Filippo Gonteri2 лет назад

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

Фото профиля ATou

ATou2 лет назад

@SaveToNotion

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