Stability AI

Big thanks to Variety and Corbin Bolies for sharing the news about our latest funding. https://lnkd.in/gWwcYEQD

Today marks a new milestone for Stability AI. We've closed our Series B, bringing total funding to $232M under new leadership. This moment is more than the number, it's about who's in the room. This round welcomes entertainment titans Electronic Arts (EA), Sony Music Entertainment, Universal Music Group, and Warner Music Group; and investment firms AMD Ventures and Pacific Alliance Ventures. Coatue Management, Greycroft, Kadmos Capital, Sean Parker, and Eric Schmidt are also participating for a second consecutive round. Stability AI builds tools with the artist at the center. This milestone is validation of our approach. We’ll continue to develop generative technology that supports every producer, musician, and storyteller. You can learn more here: https://lnkd.in/g3_SANp8

Getting to the right soundscape, score, or song is a deeply personal process. Every artist works differently, and you don’t know where an idea will take you when you start. Which means you don’t get there in one shot. That’s something we’ve been thinking about a lot as we build what’s next with Stable Audio. Our goal is simple: give you the tools to shape a sound, not just generate one. So today we wanted to share two new tools that give you different ways to work with Stable Audio 3.0. There’s a new Stable Audio plugin that brings generation directly into your favorite DAW. And we also enhanced the web experience on StableAudio.com, with more ways to edit and work with what you generate. Both are powered by our commercially-safe models, which means you own your outputs, and can distribute outputs freely. These are both in beta, so some features are experimental. We will continue to iterate on the experience in real time. 

We’re collaborating with Music Hackspace to bring developers and sound obsessives together in Montreal for a 48-hour hackathon, in partnership with MUTEK, from August 22–23. Over two days, teams will prototype new tools for music creation, performance, and listening, set against the backdrop of Montreal's electronic music and digital arts scene. Our challenge: Create a community-facing project for musicians using Stable Audio 3.0. Teams taking on our challenge can get started now. → GitHub: https://lnkd.in/gyT-KmWg → Model weights: https://lnkd.in/g8JZUMPP We're looking forward to seeing what the Montreal music-tech community builds.

Most AI audio models have never heard a maqam. Jad Al Masri and Team Motif fixed that. They took Stable Audio 3.0, fine-tuned it on a proprietary Arabic maqam dataset, and built an Ableton plugin for microtonal style transfer — running locally on device. They didn’t just win our Stable Audio 3.0 Challenge at Music Hackspace; they fine-tuned a model that honors a long-standing musical tradition. Watch Jad break down the workflow.

More than 100 builders, along with our audio research team, gathered at Berklee College of Music for the Music Hackspace Boston Hackathon.  🎯 The challenge: Build a community-facing project for musicians using Stable Audio 3.0. 🏆 The winner: Motif by Jad Al Masri, Thiago Santos, Rithik Kundu, Michael Tomasi, and Chris Powers, a LoRA trained on Arabic maqam recordings that teaches Stable Audio 3.0 medium microtonal pitch structures, traditional ornamentation, and instrument timbres the base model cannot produce on its own. The team also built a plug-in for Ableton Live via the Extensions SDK, allowing audio generation to flow directly into a new track inside the DAW. Get the breakdown and hear the LoRA 👉 https://lnkd.in/gxN8b5dM Huge thanks to Music Hackspace and Berklee College of Music for creating a place where this kind of artistic experimentation happens!

Welcome Ethan Kaplan, our new Head of Audio Product. Ethan has spent his career building technology that empowers artists. In this role, he’ll be continuing this critical work by leading the development of our music and audio product suite.

Today we’re releasing Stable Audio 3.0, a family of four open-weight models trained on fully licensed data and built for artistic experimentation.  Model capabilities include: 📣 Ownership of outputs with the ability to distribute and commercialize them under the Stability AI Community License (up to $1 million in revenue). 🎵 Variable-length generation up to six minutes, and full song composition on portable devices, no GPU required. ✅ Trained on a fully licensed dataset. 🎨 Model customization on your own library with support for LoRa training, documented for the first time, and white glove support for enterprise organizations. We're also building a suite of new products for musicians. Join the waitlist for early access → https://bit.ly/49g6Mv8 Music has always evolved through the collective creativity of its community. Remix culture, interpolations, and mashups are how artists build on each other's work and push the art form forward. Generative audio will be no different. Stable Audio 3.0 is our open invitation to experiment. We want to foster the same kind of community-driven innovation in audio that we sparked in image generation with the launch of Stable Diffusion. Learn more about Stable Audio 3.0 here 👉 https://bit.ly/4fw7KqS