seth_

7 ms·

1.
by seth_ 2y ago
Riffusion - Generative AI for Music | Research Scientist, Research Engineer | San Francisco | Full-time Riffusion is a small team training foundation models for music generation and building products that create more musicians in the world.
2.
by seth_ 2y ago
Riffusion - Generative AI for Music | Research Scientist, Research Engineer | San Francisco | Full-time Riffusion is a small team training foundation models for music generation and building products that create more musicians in the world.
3.
by seth_ 3y ago
love the deep dive here
4.
by seth_ 3y ago
Those are awesome! Sorry if the app is down for you or anyone else right now btw. Our servers are a little overloaded but we'll be back up in no time
5.
by seth_ 3y ago
We would have an iOS app if we were better mobile engineers... hopefully someday we'll make one!
6.
by seth_ 3y ago
Very cool. The latent space is a wild place.
7.
by seth_ 3y ago
Nice! It is best at pronouncing in English, but we've had a bunch of fun trying to get other languages too. Sometimes you can make things happen phonetically. Even for english words that it doesn't get right the first time haha
8.
by seth_ 3y ago
We're happy to be building a toy! Your comment reminds me of this post: https://cdixon.org/2010/01/03/the-next-big-thing-will-start-... It's still really early innings for this technology, so we&#x2
9.
by seth_ 3y ago
This one! Was a wild day for us :) https://news.ycombinator.com/item?id=33999162
10.
by seth_ 3y ago
Would be neat to see the distribution of time that people stare at this... I imagine some will stare for hours
11.
by seth_ 4y ago
Author here: fwiw we are running the app on a10g GPUs, which generally can turn around a 512x512 in 3.5s with 50 inference steps. This time includes converting the image into audio which should be done on the GPU as well for real-time purpo
12.
by seth_ 4y ago
Author here: We were blown away too. This project started with a question in our minds about whether it was even possible for the stable diffusion model architecture to output something with the level of fidelity needed for the resulting au
13.
by seth_ 4y ago
Author here: It can certainly be applied to voice, but the model would need deeper training to speak intelligibly. If you want to hear more singing, you can try a prompt like "female voice", and increase the denoising parameter in
14.
by seth_ 4y ago
Author here: Indeed we are using Griffin-Lim. Would be exciting to swap it out with something faster and better though. In the real-time app we are running the conversion from spectrogram to audio on the GPU as well because it is a nontrivi
15.
by seth_ 4y ago
Authors here: Fun to wake up to this surprise! We are rushing to add GPUs so you can all experience the app in real-time. Will update asap
16.
by seth_ 4y ago
Looks like a much tastier version of what the times did here https://www.nytimes.com/2022/11/04/dining/ai-thanksgiving-me... , they should write a followup
17.
by seth_ 4y ago
Slick app. Thanks for posting
18.
by seth_ 5y ago
Hardline | iOS + Android Engineers | Remote friendly | San Francisco based company | Full-time | https://hardline.io We’re building a new way for deskless workers to communicate on the move—think Slack for construction. At the c
19.
by seth_ 6y ago
Hardline | Full time | SF, Remote US Based | Lead Backend Engineer | https://www.hardline.io Help us build the fastest way for teams to communicate on the move. Our mobile app and simple hardware attachment turn any smartphone i
20.
by seth_ 9y ago
Starling | Front End Engineer & Full Stack Engineer & Security Engineer | SF | Full-Time | Onsite Starling exists to make organizations better. We're an analytics platform for People data, helping companies create data-backed s