AMD Intros “SD 3 Medium”, The World’s First BF16 NPU Model Designed For XDNA 2 AI NPUs, Offer Reduced Memory Footprint & Faster Text-To-Image Gen

Hassan Mujtaba
AMD Intros "SDXL Turbo", The World's First BF16 NPU Model Designed For XDNA 2 AI NPUs, Offer Reduced Memory Footprint & Faster Text-To-Image Gen 1

AMD has launched the world's first BF16 NPU model for XDNA 2 NPUs, which it is calling SD 3 Medium, and makes for faster and uncompromised text-to-image generation.

AMD's SD 3 Medium Is A BF16 Model That Is Optimized For XDNA 2 "AI" NPUs, Now Available In Amuse 3.1 To Try Out

Press Release: At Computex 2024, AMD introduced the world’s first block FP16 stable diffusion model: the SDXL Turbo. The breakthrough model combined the accuracy of FP16 with the performance of INT8 and was a collaboration between AMD and Stability AI. 

Related Story AMD Reportedly Says No To FSR 4 For RDNA 3.5, Stripping Ryzen AI 300/400 APUs Of Latest Upscaling Technology

Now, AMD is proud to announce another collaboration with Stability AI: the world’s first block FP16 SD 3.0 Medium model – which delivers a significant increase in image quality and is optimized for AMD Ryzen AI XDNA 2 NPUs. Best of all: you can try it out today by downloading Amuse 3.1 by Tensorstack and running it in HQ mode with a compatible Ryzen AI-powered laptop. 

Try SD 3.0 Medium (with BF16 precision) right now on an AMD Ryzen AI 300 series or Ryzen AI MAX+ laptop with at least 24GB of memory by following three simple steps:

SD3 Medium (NPU) Hardware Requirements:  AMD Ryzen AI 300 series or Ryzen AI MAX+ laptop equipped with a 50 TOPs or higher AMD XDNA 2 NPU and at least 24GB of system RAM.

  • Download and Install the latest Adrenalin Driver
  • Download and Install Amuse 3.1 Beta
  • In EZ Mode, move the slider to HQ and toggle “XDNA 2 Stable Diffusion Offload”

The first Block FP16 SD 3 Medium model designed for AMD XDNA 2 NPUs also comes with a reduction in the memory requirements for Stable Diffusion 3 Medium and will run on 24GB laptops while consuming only 9GB of memory. The use of this data type allows high-quality, local AI image generation to be available on laptops with under 32GB of memory in a high-precision format and without excessive quantization.

Furthermore, a 2-stage pipeline powered by the AMD XDNA 2 NPU enhances the output 2 MP (1024x1024) image of the SD 3 Medium model to 4MP resolution (2048x2048), providing print-quality images tailored to your specifications on the go.

Stock-quality images with no subscription fees* or Wi-Fi required

An AMD Ryzen AI-powered PC can create high-quality images that can be used as stock images for your graphics design needs. What’s more? You can configure and custom-tailor the stock image to your brand, allowing for rapid design iteration and the speedy creation of marketing assets. For example, given below are some hypothetical examples of an “NPU” brand:

Having an AI PC that can keep up with ever-changing and ever-more-demanding Generative AI workloads is an excellent partner, and 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.

Hassan Mujtaba Photo

About the author: A Software Engineer by training and a PC enthusiast by passion, Hassan Mujtaba serves as Wccftech's Senior Editor for hardware section. With years of experience in the industry, he specializes in deep-dive technical analysis of next-generation CPU and GPU architectures, motherboards, and cooling solutions. His work involves not only breaking news on upcoming technologies but also extensive hands-on reviews and benchmarking.

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