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This is a big day. Meta is open-sourcing AudioCraft. You can now generate incredible music and sounds with a single prompt. It includes the most performant Generative AI Model (audio) on the market, the "Llama" of Audio. The research framework contains the weights and code of these models: ▸... show more
231,665 views • 3 years ago •via X (Twitter)
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Article: Github: Congrats @jadecopet, @syhw, @jpineau1, @ylecun

Ive been putting it through its paces. Here is a video of my favourite generations.

Non-commercial license 🙄

Thanks for sharing this, you brought it to my attention last night and this morning I added some music and sound to my SD Controlnet demo vid. AudioCraft makes a huge difference in the visual impact to hear piano and effects....

I think it's amazing. I have shared the initial experiments with MusicGen and ChatGPT here:

Any platform I can run it on via API already?

What about the copyright on the generated audio, is it free?

@memdotai mem it

@AlphaSignalAI Saved! Here's the compiled thread: 🪄 AI-generated summary: "Meta has open-sourced AudioCraft, a research framework that includes the most performant Generative AI Model (audio) on the market. It allows users to generate incredible music...

@kargarisaac 😳😳😳😳👍👍👍👍
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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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627,486 views • 3 years ago



