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:

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

"'Don't hate the player, hate the game.' - Evangelyne Batista Every starlet who challenges her ends up here. Beautiful. Preserved. Forever feeding the legend. NARSSICA ASCENDING - January 1st Hollywood Forever."

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,

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 ➡️ https://t.co/T4DLT9K5XN @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

That $18.8M school contract is the anchor - now the question is: can $JFB ride it? Assuming follow-ons, margin expansion, and multiple re-rating, $32 target isn’t fantasy - it’s bold.

🎵 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

🎵 Using musical vocabulary The below three building blocks are the simplest – but most important – context to give the model: 1️⃣ Genre: Define the category for your track. 2️⃣ Tempo: Define the speed to match your intended use case and energy level. 3️⃣ Overall mood: Establish

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

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

@WPP You can try Stable Audio 2.5 now at https://t.co/ibUF13uiCN 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.

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

Want to learn how to generate audio on-device? 👇

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

🔌 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

🔎 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

ℹ️ 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

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

Multiple Stable Diffusion models are now supported in Amuse 3.1 with @AMD Ryzen 300 Series processors! You can learn more here 👇