This is a series of articles looking at the ASRock Industrial NUC BOX-255H running Linux. In this series, I examine every aspect of this Mini PC in detail from a Linux perspective.
The machine was supplied by ASRock Industrial, a respected Taiwanese manufacturer of computer hardware including AI Box computers and embedded motherboards.
One of the NUC’s aspects that makes it interesting is its GPU and NPU capabilities. The machine has the Intel Arc 140T, the iGPU used in the Intel Arrow Lake H/HX processor series. It’s quite a powerful integrated graphics setup. It shares the system DDR5 memory, it has 1024 cores, 64 TMUs, and 32 ROPs. It also has 128 tensor cores, and 8 ray tracing cores.
In this article I’m going to explore GIMP AI plugins for the Arc 140T iGPU. These provide a set of OpenVINO based plugins that add AI features to GIMP.
Unless you’re very new to Linux you’ll have seen GIMP. It’s a very popular cross-platform open source image editor. Its popularity stems from its customizable interface, fullscreen mode, photo enhancement tools, digital retouching tools, and good support for various input devices such as pressure and tilt sensitive tablets, as well as USB and MIDI controllers.
The software supports a wide variety of file formats and runs under Linux and other operating systems.
Installation
I’m running Ubuntu 25.04 on the ASRock machine. Installing the AI plugins is very straightforward.
Issue the commands:
$ sudo snap install gimp
$ sudo snap install intel-npu-driver --beta
# for NPU support
$ sudo snap install openvino-toolkit-2404 --beta
$ sudo snap install openvino-ai-plugins-gimp --beta
The software provides 3 plugins which are accessed by going to the Layer / OpenVINO-AI-Plugins menu.
Let’s take a brief look at each of the 3 plugins starting with Stable Diffusion.
Next page: Page 2 – Stable Diffusion
Pages in this article:
Page 1 – Introduction
Page 2 – Stable Diffusion
Page 3 – Super Resolution, Semantic Segmentation
Complete list of articles in this series:
ASRock Industrial NUC BOX-255H | |
---|---|
Introduction | Introduction to the series and interrogation of the NUC BOX-255H |
Benchmarks | Benchmarking the NUC BOX-255H |
Power | Testing and comparing the power consumption under various workloads |
Stable Diffusion | Deep Learning with Stable Diffusion |
Audacity AI Plugins | Let's explore OpenVINO AI Plugins for Audacity |
3 Types of Cores | P-cores, E-cores and low power E-cores performance |
GIMP AI Plugins | Stable Diffusion, Super Resolution, Semantic Segmentation |