AMD opens the door to local Stable Diffusion AI image generation on Ryzen AI NPUs

At Computex 2024, AMD and Stability AI announced a partnership that introduced the world's first block FP16 stable diffusion model for image generation, offering improved quality and accuracy. This week, AMD is announcing another world's first, the FP16 SD 3.0 Medium model optimized for the AMD Ryzen AI 300 Series XDNA 2 NPUs.

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Promising a "significant increase in image quality" for AI image generation using Stable Diffusion, those with compatible Ryzen AI-powered laptops can download Amuse 3.1 by Tensorstack to test it out today. As long as you've got 24GB of memory, Amuse 3.1's HQ mode will deliver 16-bit quality without the need for a dedicated GPU.

The results are impressive, with the ability to create Stable Diffusion 3.0 Medium model-powered images at a 4MP resolution (2048x2048) with XDNA Super Resolution. Best of all, it's free and doesn't require a subscription.

Although it hasn't provided exact numbers, AMD notes that the tool can be used for the "speedy creation" of images with rapid iteration to get the desired result. "Having an AI PC that can keep up with ever-changing and ever-more-demanding Generative AI workloads is an excellent partner," AMD writes. "The AMD XDNA 2 NPU excels at AI operations while preserving power efficiency - so you can do what you do best - whether you are plugged in or 30,000 feet in the air."

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This is impressive because AMD's Ryzen AI 300 Series processors are designed for Copilot+ PCs and lightweight, efficient AI workloads. With the ability to generate images with BF16 precision, with one of the most powerful and versatile models, Ryzen AI laptops and portable devices have unlocked a new level of image generation for creators, designers, and AI enthusiasts.