Stability AI launches Stable Audio, the Company’s First Product to Generate Music Using Artificial Intelligence

Stability AI, the world’s leading open generative AI company, announced the launch of Stable Audio, the company’s first AI product for music and sound generation. Stable Audio is a first-of-its-kind product that uses the latest generative AI techniques to deliver faster, higher-quality music via an easy-to-use web interface. Stability AI offers both a basic free version of Stable Audio, which can be used to generate and download tracks of up to 20 seconds, as well as ‘Pro’ subscription, which delivers 90-second tracks that are downloadable for commercial projects.

“As the only independent, open and multimodal generative AI company, we are thrilled to use our expertise to develop a product in support of music creators,” said Emad Mostaque, CEO of Stability AI. “Our hope is that Stable Audio will empower music enthusiasts and creative professionals to generate new content with the help of AI, and we look forward to the endless innovations it will inspire.”

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“Stable Audio is a first-of-its-kind product that uses the latest generative AI techniques to deliver faster, higher-quality music”

Stable Audio is ideal for musicians seeking to create samples to use in their own music, but the opportunities for creators are limitless. Music tracks are generated in response to descriptive text prompts supplied by the user, along with a desired length of composition. For instance, “Post-Rock, Guitars, Drum Kit, Bass, Strings, Euphoric, Up-Lifting, Moody, Flowing, Raw, Epic, Sentimental, 125 BPM” can be entered with a request for a 95-second track, and it would deliver this track. The underlying model was trained using music and metadata from AudioSparx, a leading music library, in a partnership between the companies that will generate both economic and creative value for all parties.

Stable Audio is the first music generation product enabling the creation of high-quality, 44.1 kHz music for commercial use via latent diffusion. The latent diffusion architecture uses audio conditioned on text metadata as well as audio file duration and start time, allowing for control over the content and length of the generated audio.

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