Stability AI

Today is #SaferInternetDay 2026, and we’re joining thousands of others in shining a light on online safety and digital wellbeing. AI has become part of everyday life, and it’s important that we support people in navigating these changes. Every conversation about online safety makes a difference. You can learn more and get involved here 👉saferinternetday.org.uk @Nominet

Today we announced a partnership with @warnermusic to develop professional-grade tools that enable artists, songwriters, and producers to experiment, compose, and produce using ethically trained models. Our work together will unlock new forms of creative expression while protecting creators’ rights and opening new pathways for revenue. You can learn more about our partnership here 👉 bit.ly/3LIwiA9

@Keshavatearth 👻

is stability ai back from the dead?

Today we announced a strategic alliance with @UMG to co-develop professional AI music creation tools, powered by responsibly trained generative AI and built to support the creative process of artists, producers and songwriters globally. You can learn more about our collaboration here 👉 bit.ly/47ib04I

Today we announced that we’ve formed a strategic partnership with @EA to co-develop transformative generative AI models, tools, and workflows that empower EA’s artists, designers, and developers to reimagine how games are made. You can learn more about our partnership here 👉 bit.ly/4nrW3lC

We joined our friends at @ComfyUI for a live chat about what's new with Stable Audio 2.5 🥁 Check out CJ Carr from our Audio Research team demoing the model’s inpainting capability. You can watch the full episode here for more insights and examples 👉 bit.ly/43nRa5x

This week’s Stability Seconds shows how you can quickly iterate across multiple musical directions with Stable Audio 2.5 ⏩ Starting with one short video clip, we applied three different prompts to shift the genre and mood of the video’s track in seconds: 1️⃣ Shoegaze synth: Dreamy and hazy 2️⃣ Ethereal classical: Airy and uplifting 3️⃣ Experimental drone: Textured and cinematic You can learn more and start using Stable Audio 2.5 here 👉 bit.ly/3IAUl2R

How are artists using AI to make music? 🎶 That’s what our Audio Research team set out to understand when they analyzed 337 musical works. The research examines how artists are using AI tools in their creative and production process. We’re sharing the key findings, with insight on emerging AI music creation practices that artists and creative professionals can draw inspiration from. You can read the full paper and learn more here 👉 bit.ly/3INc9I0

In this week’s Stability Seconds, we’re showing you how to generate custom, commercially safe audio for your next video project with Stable Audio 2.5 🎵 Here’s how you can do it: ▶️ Find a short video clip that you want to add sound to. ▶️ Prompt Stable Audio 2.5 for genre, overall mood, and instruments that match your video. In our prompt, we used terms like “cinematic,” “awe-inspiring,” and “dramatic horn section.” ▶️ Generate a 3-minute track, then scrub through to find the best cut. ▶️ Add that audio to your clip to create a polished soundtrack. You can learn more and start using Stable Audio 2.5 here 👉 bit.ly/3KpHjWh

Stable Diffusion 3.5 FP8 checkpoints, optimized for TensorRT, are now available. ⚡ 2x AI inference speed, half the VRAM, deployable on all NVIDIA Blackwell devices. Get started ➡️ nvda.ws/4gGkfii @StabilityAI

🎵 Prompt construction techniques The order of information you give your prompt should look like: 1️⃣ Core style/genre 2️⃣ Key musical elements 3️⃣ Mood and emotion 4️⃣ Specific details 5️⃣ Additional instructions Example prompt: “A cinematic outlaw country instrumental perfect for a long drive featuring a blues pedal steel guitar, a rustic mandolin, a fiddle playing call and response, a tape-driven rattly drum-kit, an autoharp, and a soaring accordion solo. The mood has southern soul, is raw, emotional, expansive, and full of the blues.”

🎵 Add musical elements to build depth Specify the important sound sources in your track, then go beyond that with more detail on texture and production characteristics: 1️⃣ Primary instruments: These instruments carry the melody or main musical theme. They’re the focal point that listeners typically follow, and often play the hook or most memorable parts. 2️⃣ Supporting instruments: Add supporting instruments to complement the main melody. They’re usually mixed in the background or at moderate levels. 3️⃣ Rhythm components: Define the percussive elements that drive your track. 4️⃣ Texture elements: Add in layers that create sonic depth and atmosphere. 5️⃣ Production characteristics: These elements describe how the track is recorded, mixed, and produced. Example prompt: “An exciting breakbeat instrumental perfect for fast-paced video games, featuring funky electric guitar chords, steady break drums, smooth electric piano, and supporting bass. The mood is fresh, modern, and adventurous, 105 BPM.”

With the release of our latest audio model Stable Audio 2.5, we’re sharing our updated best practices for prompting. Built for enterprise-grade sound production, Stable Audio 2.5 introduces capabilities like improved musical structure, faster inference at less than 2 seconds on a GPU, and support for audio inpainting. With effective prompting techniques, you can get the most out of Stable Audio 2.5 for professional use cases like advertising, game soundtracks, and short-form video. You can read the full guide here 👉 bit.ly/3Iq08Iw

We’re launching our Stability AI Image Services on @Amazon Bedrock, bringing professional-grade image editing capabilities to @awscloud infrastructure. Image Services are image editing tools packaged as API services. The tools available on Bedrock support two general types of image editing workflow: 1️⃣ Edit: Make precise, targeted modifications to existing images without altering the overall composition, such as inpainting or recoloring a specific object. 2️⃣ Control: Generate variations of images, such as turning a sketch into a photorealistic product shot, or applying a new style to an image while preserving the structure of the subject. You can learn more here 👉 bit.ly/41aMsap

@WPP 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.

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.

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

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