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News & Updates - Stability AI

Stable Audio 3.0, the model family built with open-weight models — Stability AI Brand Studio by Stability AI: Creative production platform for brands — Stability AI Stability AI Joins the Tech Coalition — Stability AI Warner Music Group and Stability AI Join Forces To Build The Next Generation Of Responsible AI Tools For Music Creation — Stability AI Universal Music Group and Stability AI Announce Strategic Alliance to Co-Develop Professional AI Music Creation Tools — Stability AI Stability AI and EA Partner to Empower Artists, Designers, and Developers to Reimagine Game Development — Stability AI Stability AI Brings Image Services to Amazon Bedrock, Delivering End-to-End Creative Control with Enterprise-Grade Infrastructure — Stability AI Stability AI’s Annual Integrity Transparency Report — Stability AI Stability AI and NVIDIA Bring Faster Performance and Simplified Enterprise Deployment with the Stable Diffusion 3.5 NIM — Stability AI Introducing Stability AI Solutions: Generative AI Solutions to Accelerate Enterprise Creative Production — Stability AI Stability AI Achieves SOC 2 Type II and SOC 3 Compliance, Reaching New Industry Standard for Enterprise-Grade Security — Stability AI Stable Diffusion 3.5 Models Optimized with TensorRT Deliver 2X Faster Performance and 40% Less Memory on NVIDIA RTX GPUs — Stability AI Stable Video 4D 2.0: Stability AI Enhances 4D Generation and View Synthesis with Stable Diffusion — Stability AI Stability AI and Arm Collaborate to Release Stable Audio Open Small, Enabling Real-World Deployment for On-Device Audio Generation — Stability AI Stable Diffusion Now Optimized for AMD Radeon™ GPUs and Ryzen™ AI APUs — Stability AI Introducing Our New Chief Pipeline Architect, Robert Legato — Stability AI Introducing Stable Virtual Camera: Multi-View Video Generation with 3D Camera Control — Stability AI Introducing Our New SVP, Head of Product, Ryan Ellis — Stability AI Stability AI Announces Investment from WPP and New Partnership to Shape the Future of Media and Entertainment Production — Stability AI
Stability AI Introduces Stable Audio 2.5, the First Audio Model Built for Enterprise Sound Production at Scale — Stability AI
Sep 10 Written By Guest User · 2025-09-10 · via News & Updates - Stability AI

We’re excited to release Stable Audio 2.5, our latest audio model and the first developed for enterprise-grade use cases. Stable Audio 2.5 introduces advancements in quality and control that address the demand for dynamic compositions that can be adapted for custom brand needs.

Custom audio can make a brand eight times more memorable, but only 6% of creative uses a sound identity, according to Ipsos research. To deploy sound more strategically as an extension of their brand, enterprises need to create audio that’s high-quality, commercial-grade, and adaptable for the different places a brand shows up. 

With the enterprise-focused capabilities of Stable Audio 2.5, professional creative teams can leverage more advanced, customizable audio generation to give every production the right sound.

What’s new: Faster generation, smarter composition, enhanced workflows

Stable Audio 2.5 brings advancements in speed and output quality that make it well-suited for commercial use cases.

  • Generate three-minute long tracks within seconds: Post-trained using the cutting-edge Adversarial Relativistic-Contrastive (ARC) method pioneered by the Stable Audio research team, Stable Audio 2.5 has an inference speed of less than two seconds on a GPU, for tracks up to three minutes. 

  • Produce dynamic musical compositions: Stable Audio 2.5 is optimized for music and has improved musical structure, generating multi-part compositions (intro, development, and outro). The model also has improved prompt adherence, responding more effectively to mood descriptors (such as “uplifting”) and musical language across genres (“lush synthesizers”).

  • Get more control with audio inpainting support: In addition to text-to-audio and audio-to-audio workflows, Stable Audio 2.5 supports audio inpainting, which means users can input their own audio, select where they want it to start, and the model will use the context to generate the rest of the track. Note: Our Terms of Service require that uploads be free of copyrighted material, and we use advanced content recognition to maintain compliance and prevent infringement.

Like all Stable Audio models, Stable Audio 2.5 is commercially safe and trained on a fully licensed dataset.

Produce custom, brand-led audio with creative control and partnership

Audio influences brand engagement by 86%, but few brands are leveraging custom audio at scale. Enterprises have an opportunity to curate more intentional, on-brand audio across a growing variety of touchpoints – whether it’s an ad, the opening credits of a game, in-store music, the chimes of a credit card swipe, or a car stereo.

To help enterprises create the right sound, our team can fine-tune Stable Audio models on an organization’s sound library, embedding signature brand audio into custom generative workflows. This ensures that the music or soundscape is uniquely recognizable as part of a brand’s sonic identity or creative guidelines for a project.

With the launch of Stable Audio 2.5, Stability AI is also partnering with leading sound branding agency amp, part of the Landor Group, a WPP company, to co-develop enterprise solutions for innovative brands who want to create iconic sound identities and experiences. Stable Audio 2.5 will be available to WPP’s global client base through WPP Open, combining advanced technology with creative expertise.

Get started

You can try Stable Audio 2.5 now at StableAudio.com

Stable Audio 2.5 is available through the Stability AI API, as well as through partner platforms including fal, Replicate, and ComfyUI.

For enterprises interested in deploying our audio models on their own infrastructure, please contact us to discuss our Enterprise Licensing, with implementation support, customization options and professional services available. You can also visit Stability AI Solutions to learn more about customizing audio models and workflows for specific use cases.

To stay updated on our progress, follow us on X, LinkedIn, Instagram, and join our Discord Community.