image upscaling

Copilot+ PCs are the first personal computers to run Small Language Models (SLM) directly on-device, allowing for quicker interactions without relying on the cloud. Microsoft has introduced the AI Dev Gallery, which offers over 25 samples for developers to integrate on-device AI features into applications on Windows 10 and 11. The gallery requires building the project in Visual Studio, needing at least 20GB of storage and a multi-core CPU. A GPU with 8GB VRAM is recommended for heavier models but not mandatory for lighter applications. The app has two operational modes: Sample and Models. Testing models for image generation typically requires around 5GB of bandwidth, while a smaller image upscaling model under 100MB was successfully tested, completing the process in under 30 seconds with peak RAM usage of 1GB. The resulting image resolution was 9272x4900, but clarity issues were noted, especially with text. The application lacks features for previewing images in larger formats or downloading outputs directly. A model named Detect Human Pose was able to identify positions within images, including desktop screenshots. Substantial storage and robust CPUs are necessary for effective model accommodation, and the practicality of downloading large models for niche use cases is questioned.