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Open-sourcing AudioCraft: Generative AI for audio

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211–220 of 335 posts

Re: Open-sourcing AudioCraft: Generative AI for audio

#211

I just ran all of the cited installation steps, which appear to have been successful... but I am now experiencing a profound sense of "now what?" There doesn't appear to be any new CLI executables installed, and the documentation links to an API but there's no clues on how to actually process a prompt. What am I missing? Alternatively, I wouldn't mind using it in a Notebook but so far this thread doesn't link to anyt…

You're not supposed to actually install it and use it, just comment on how cool and open Facebook is, especially in comparison to OpenAI. So, user error.

Re: Open-sourcing AudioCraft: Generative AI for audio

#212

I just ran all of the cited installation steps, which appear to have been successful... but I am now experiencing a profound sense of "now what?" There doesn't appear to be any new CLI executables installed, and the documentation links to an API but there's no clues on how to actually process a prompt. What am I missing? Alternatively, I wouldn't mind using it in a Notebook but so far this thread doesn't link to anyt…

The main gradio app has been moved to the demos folder.

    python demos/musicgen_app.py
Otherwise you can check the jupyter notebooks in the same folder.

Re: Open-sourcing AudioCraft: Generative AI for audio

#213

The fact that it generates a song for the prompt "Earthy tones, environmentally conscious ... organic instrumentation" goes a long way to proving that English words no longer mean anything particularly.

That sort of presumes those words had any effect on the output.

We might know more had it generated a song as you said, but in fact it generated only an instrumental.

Re: Open-sourcing AudioCraft: Generative AI for audio

#214
post #210

Earlier quoted context omitted.

That, or this is an ongoing research lab (FAIR) that has existed for ~half a decade and has advanced the state-of-the-art in AI further than Apple, Microsoft and Google combined.

I would be pretty shocked if meta were that far ahead of all 3 of those companies, all of which are also spending a fuck load on internal AI research.

If all three of those companies have something to show for their research, none of it is at the scale or level of accessibility Pytorch, Llama and now Audiocraft offer.

Re: Open-sourcing AudioCraft: Generative AI for audio

#215

I just ran all of the cited installation steps, which appear to have been successful... but I am now experiencing a profound sense of "now what?" There doesn't appear to be any new CLI executables installed, and the documentation links to an API but there's no clues on how to actually process a prompt. What am I missing? Alternatively, I wouldn't mind using it in a Notebook but so far this thread doesn't link to anyt…

This is the default state of deep learning projects, everyone assumes only phd researchers will ever try it who already know how to use everything in the tool chain. What's happened with llama and other LLMs with codebases that actually work outright with one click when compiled is a pretty big outlier.

Re: Open-sourcing AudioCraft: Generative AI for audio

#216
post #13

> MusicGen, which was trained with Meta-owned and specifically licensed music, generates music from text-based user inputs, while AudioGen, which was trained on public sound effects, generates audio from text-based user inputs. Meta is really clearly trying to differentiate themselves from OpenAI here. Open source + driving home "we don't use data we haven't paid for / don't own".

The fact that Meta is able to lie and call their restrictive licensing open source is nearly as misleading as "OpenAI." We need to do better than to repeat these claims uncritically. The weight licenses are not "open source" by any useful definition, and we should not give Meta kudos for their misleading PR (especially considering that they almost surely ignored any copyright when training these things - rules for th…

Just some general piece of advice: it's not productive to constantly be giving out the worst criticism you possibly can when someone does something that's not terrible but still unacceptable. Doing so just tells the companies that nothing satisfies the community and that they should stop trying. Instead, it's better to mention what they did right and point to how they can make it better.

Re: Open-sourcing AudioCraft: Generative AI for audio

#217

I just ran all of the cited installation steps, which appear to have been successful... but I am now experiencing a profound sense of "now what?" There doesn't appear to be any new CLI executables installed, and the documentation links to an API but there's no clues on how to actually process a prompt. What am I missing? Alternatively, I wouldn't mind using it in a Notebook but so far this thread doesn't link to anyt…

The main gradio app has been moved to the demos folder. python demos/musicgen_app.py Otherwise you can check the jupyter notebooks in the same folder.

Thanks! This will be even more helpful if you could share a hint about where this was installed to.

I carefully went through the output generated by the "pip install -U audiocraft" command, and there were no clues provided.

Disclosure: I am not a Python developer, so I apologize if this is a master-of-the-obvious question for Python folks. However, if there was ever a scenario where a line or two of post-install notes would be useful, it's stuff like this.

Re: Open-sourcing AudioCraft: Generative AI for audio

#218
post #94

As an amateur musician I’m wondering if there are any of these audio generators that you can give a tune or chord progression to riff on. ABC format maybe? There are lots of folk tunes on thesession.org. Could you generate a rhythm track? Ideally you could make songs one track at a time, by giving it a mix of the previous tracks and asking it to make another track for an instrument. Or, give it a track and ask it to…

If you mean to give a source of melody of 30sec and extend that melody into a full song, yes MusicGen can do that. There are two ways to extend a song based on a melody: 1) give a sample, and continue the song from that sample as close as possible, and 2) give a melody as an inspiration. They both work in varying degrees of success. Audiocraft on github, issues or discussion sections have a lot of questions answered.

Evidence? None of the demos suggest that is true.

Re: Open-sourcing AudioCraft: Generative AI for audio

#219

Oh my god, some of these tracks actually SLAP. Like for real. The last bastion of human creativity is about to be defeated.

Which ones slap? I want them to, but what I'm hearing is only OK. I think this could generate some interesting starting points for me when I'm stuck, though.

Re: Open-sourcing AudioCraft: Generative AI for audio

#220

Earlier quoted context omitted.

My understanding (IANAL) [1] is that copyright licenses have no say on the output of software. Further, CC licenses don't say anything about running or using software (or model weights). It's therefore questionable whether the CC-BY-NC license actually prevents commercial use of the model. [1] https://opensource.stackexchange.com/questions/12070/allowed...

You're correct, but no one has had the balls (or the lawyers) to clarify this in court yet. Expect to see hosting providers complying with takedown requests for the foreseeable future.

I don't remember the details (or outcome) but there was a lawsuit a few years ago involving CAD or architecture software and whether they could limit how the output images were used because they were assemblages of clipart that the company asserted were still protected by copyright. Something like that. A lot of "AI" output potentially poses a similar issue, just at a far more granular level.
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