You can try Stable Audio 2.5 now at StableAudio.com and the Stability AI API, as well as through our platform partners 👉 @Fal, @Replicate, and @ComfyUI.
→ View original post on X — @stabilityai, 2025-09-10 14:28 UTC
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You can try Stable Audio 2.5 now at StableAudio.com and the Stability AI API, as well as through our platform partners 👉 @Fal, @Replicate, and @ComfyUI.
→ View original post on X — @stabilityai, 2025-09-10 14:28 UTC
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With the launch of Stable Audio 2.5, we’re 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.
→ View original post on X — @stabilityai, 2025-09-10 14:28 UTC
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Today we’re launching Stable Audio 2.5: The first audio model built for enterprise-grade sound production 🔊
— Stability AI (@StabilityAI) 10 septembre 2025
Audio influences brand engagement by 86%, but few enterprises are leveraging audio as an extension of their brand, making customized sound an untapped differentiator.… pic.twitter.com/lCiSOO4RT2
Today we’re launching Stable Audio 2.5: The first audio model built for enterprise-grade sound production 🔊 Audio influences brand engagement by 86%, but few enterprises are leveraging audio as an extension of their brand, making customized sound an untapped differentiator. Stable Audio 2.5 is purpose-built for this opportunity to create customizable, high-quality audio at scale, with capabilities that include: ▶️ Improved musical composition: Generate full songs with multi-part structure, meaning a clear intro, middle, and outro. ▶️ Audio inpainting: Input audio, select where the track should start, and the model uses the context to generate the rest of the track. ▶️ Customization: Our team can fine-tune Stable Audio 2.5 to help enterprises create the right sound for their brand. ▶️ Faster inference: The model can generate up to three-minute long tracks in under two seconds on a GPU, outputting in just eight steps (compared to ~50 in the previous model). You can learn more here 👉 bit.ly/46uYmxR
→ View original post on X — @stabilityai, 2025-09-10 14:28 UTC

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How did @HubSpot increase image generation on their platform by 150%? With Stable Diffusion 3.5 Large on Amazon Bedrock ✅ When HubSpot was looking for a way to give their customers on-brand image generation without limits on their AI-driven platform, they found a solution using our models via Amazon Bedrock. Read the full case study here 👉 bit.ly/466zZHz
→ View original post on X — @stabilityai, 2025-09-03 14:41 UTC

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Stable Diffusion 3.5 now runs 1.8x faster with the @NVIDIA NIM microservice Our collaboration with @NVIDIA delivers faster performance and streamlined enterprise deployment for our most advanced image models. Compared to the base @Pytorch models these performance gains
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Options for deployment Stability AI Solutions can be deployed in a variety of ways to meet different enterprise needs: on-prem, via secure API endpoints, accessed through web-based applications, and through our ongoing collaboration with @WPP
, also via WPP Open. You can
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What’s available today Our initial suite of solutions is tailored for the Marketing / Advertising / Design verticals, with more in development for Entertainment and Gaming: Stability AI for Product Photography: Transform a single product shot into photorealistic variations
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What’s in a solution Each solution delivers custom models and workflows built with leading media generation and editing tools, along with everything needed to meet the standards of enterprise production: professional services, flexible deployment options, and built-in

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The creative industry is being challenged right now. Demand for content is skyrocketing, budgets are shrinking, and timelines are tighter than ever.
— Stability AI (@StabilityAI) 5 août 2025
And while we all know AI is here to help, not all AI is actually helping. Most AI isn’t built for enterprise level creative work… pic.twitter.com/ggkfObfWIp
The creative industry is being challenged right now. Demand for content is skyrocketing, budgets are shrinking, and timelines are tighter than ever. And while we all know AI is here to help, not all AI is actually helping. Most AI isn’t built for enterprise level creative work