Amuse 3.0 with AMD
Ryzen AI CPUs and AMD Radeon graphics cards have improved and accelerated generative AI. AMD is offering AMD optimized models that accelerate inference by up to 4.3x on suitable hardware through an engineering partnership with Stability AI.
Tensorstack.AI’s recently released Amuse 3.0 Beta program allows users to experience these models along with a number of other fascinating new capabilities.
- The future Adrenalin 24.5.1 mainline version or the Adrenalin 24.30.31.05 AMD Optimised and Amuse 3.0 Preview Driver (Download Here) are required for Amuse 3.0 and AMD optimised models.
Amuse 3.0’s new features include:
- Presenting models optimised for AMD (developed in partnership with Stability AI)
- Presenting superior Photo AI Filters
- Presenting Video Diffusion in draft quality
- Introducing the Video Restyle in draft quality
- Over 100 new image models and adjustments have been made.

Generative AI with AMD Optimized Models
Amuse 3.0 enables AMD users with appropriate hardware to run cutting-edge models such as Black Forest Labs’ FLUX.1 models and Stability AI’s Stable Diffusion 3.5 family. In order to provide customers with a one-stop shop to optimise their creative potential, this edition also included 100 of the most well-liked custom image models and great tunes.
With the AMD XDNA Super Resolution capability, users of AMD Ryzen AI systems with an AMD XDNA NPU may rapidly and simply produce 4MP print-quality photos in a matter of minutes.
Suggested system specifications
Models | AMD Radeon Graphics Cards | AMD Ryzen AI Processors |
SD 1.5 and LCM | Most AMD Radeon Graphics Card with at least 6GB of vRAM | Most AMD laptops with 16GB RAM. |
SDXL, SDXL Lightning, SD3 Medium, SD 3.5 Medium | AMD Radeon RX 9070 XT, Radeon 7900 XTX, Radeon 7900 XT, Radeon 7900 GRE, Radeon 7800 XT | AMD Ryzen AI 300 series with 32GB RAM, Ryzen AI 395+ MAX series with 32GB RAM. (VGM = 16GB) |
FLUX.Schnell, SD 3.5 Large Turbo | AMD Radeon RX 9070 XT, Radeon 7900 XTX, Radeon 7900 XT, Radeon 7900 GRE, Radeon 7800 XT | AMD Ryzen AI MAX+ 395 series with 64GB or 128GB RAM. (VGM = 48GB) |
SD 3.5 Large, FLUX.Dev | AMD Radeon PRO W7900 XT 48GB, Radeon PRO W7800 48GB |
Depending on the hardware, users can get an inference speedup of increase to 4.3x to Amuse’s inclusion of AMD-optimized models. Users can anticipate 3.1x quicker performance in SDXL 1.0 and up to 4.3x faster picture creation in Stable Diffusion 1.5 on the AMD Radeon RX 9070 XT. Performance in SD 3.5 Large on the AMD Radeon RX 9070 XT can be up to 3.3 times quicker with AMD-optimized versions in the SD 3.5 family.

AMD Ryzen RX 9070 XT: Generate images up to 4.3X faster
Depending on the model selected, users with AMD Ryzen AI 9 HX 370 will get speedups of 5% to 50% and be able to run larger models than ever before. For instance, only AMD-optimized devices can run SD 3.5 Large Turbo. AI fans will get up to a 3.3x speedup in the SD 3.5 family of models and increase to 70% and 40% faster performance in Stable Diffusion 1.5 and SDXL 1.0, respectively, with AMD Ryzen AI MAX+ 395 (codename: Strix Halo) series CPUs.

AMD Ryzen AI: Generate images up to 3.3X faster
On the majority of contemporary AMD graphics cards and processors, AMD-optimized models will, of course, provide inference speedups; nevertheless, the precise configuration, architecture, family, and model selected will affect the results.
However, Amuse 3.0 isn’t only about performance. We’ve heard you enjoy high-end AI photo filters. The most recent version of Amuse gives you beautiful Photo AI effects that operate entirely locally by combining top-notch SDXL Lightning-based models with control nets. Don’t want to upload your photo to a cloud service but still want to follow the newest AI image trend? Use Photo AI filters on your device in a private, local environment.
This time, it’s not simply pictures that are receiving all the attention. With Amuse 3.0, video diffusion capability is now formally available. You can now completely restyle your videos locally using the draft quality video-to-video model or text-to-image production of clips.