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We're introducing new stereo models for MusicGen. By extending the delay codebook pattern to cover tokens from both left & right channels, these models can generate stereo output with no extra computational cost vs previous models. Try MusicGen on 🤗 ➡️

AI at Meta

806,638 subscribers

214,803 views • 2 years ago •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

8 Comments

AI at Meta2 years ago

With this new release, we're excited to share that MusicGen Stereo is now available in the @HuggingFace Transformers library and the paper has been accepted at #NeurIPS2023! MusicGen in Transformers ➡️ Paper ➡️

Mark Zuckerberg - CEO of Facebook - Parody2 years ago

Nice work. Keep it up

Taimur Shahzada2 years ago

Great non copyrighted music background for video content lol

Rufus2 years ago

Cool.

KManiL2 years ago

Absolutely brilliant and amazing!

Tonio2 years ago

Release the 3 sec input Ai voice cloners too please! Need to make a new Bing Crosby Christmas banger! 😃

Josh2 years ago

Incredible!

egino2 years ago

👏

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Meta just released MusicGen, a simple and controllable model for music generation MusicGen is a single stage auto-regressive Transformer model trained over a 32kHz EnCodec tokenizer with 4 codebooks sampled at 50 Hz. Unlike existing methods like MusicLM, MusicGen doesn't not require a self-supervised semantic representation, and it generates all 4 codebooks in one pass. By introducing a small delay between the codebooks, can predict them in parallel, thus having only 50 auto-regressive steps per second of audio try out the Gradio demo: Models on Hugging Face: github:

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Meta just released MusicGen, a simple and controllable model for music generation MusicGen is a single stage auto-regressive Transformer model trained over a 32kHz EnCodec tokenizer with 4 codebooks sampled at 50 Hz. Unlike existing methods like MusicLM, MusicGen doesn't not require a self-supervised semantic representation, and it generates all 4 codebooks in one pass. By introducing a small delay between the codebooks, can predict them in parallel, thus having only 50 auto-regressive steps per second of audio try out the Gradio demo: Models on Hugging Face: github:

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66,963 views • 1 year ago

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NVIDIA AI

16,053 views • 5 months ago