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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 Introduces Stable Audio 2.5, the First Audio Model Built for Enterprise Sound Production at Scale — 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 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
Stable Diffusion 3.5 Models Optimized with TensorRT Deliver 2X Faster Performance and 40% Less Memory on NVIDIA RTX GPUs — Stability AI
Jun 12 Written By Guest User · 2025-06-13 · via News & Updates - Stability AI

Where the models excel

These performance improvements make SD3.5's core strengths more accessible. SD3.5 excels in the following areas, making it one of the most customizable image models on the market, while maintaining top-tier performance in prompt adherence and image quality:

  • Versatile Styles: Capable of generating a wide range of styles and aesthetics like 3D, photography, painting, line art, and virtually any visual style imaginable.

  • Diverse Outputs: Creates images representative of the world, not just one type of person, with different skin tones and features, without the need for extensive prompting.

  • Prompt Adherence: Our analysis shows that SD3.5 Large leads the market in prompt adherence, allowing the model to closely follow a given text prompt, making it a top choice for efficient, high-quality performance.

Now available across more NVIDIA RTX GPUs

TensorRT optimization reduces model size while maintaining quality by streamlining how models run on NVIDIA hardware. Model size reduction is achieved through FP8 quantization, a technique that makes models more efficient while maintaining high output quality. These improvements mean that five RTX 50 Series systems can now run SD3.5 Large from memory, compared to just one system before optimization.

Enhanced performance across NVIDIA RTX GPUs

SD3.5 TensorRT-optimized models run more efficiently across NVIDIA GeForce RTX 50 and 40 Series GPUs, as well as NVIDIA Blackwell and Ada Lovelace generation NVIDIA RTX PRO GPUs. They deliver up to 2.3x faster generation on SD3.5 Large and 1.7x faster on SD3.5 Medium, while reducing VRAM requirements by 40%.