https://llmobile.news/companies/samsung/A concise news ticker covering AI on mobile devices, local models, apps and hardware.en-GBhttps://llmobile.news/ticker/samsung-nanosd/https://llmobile.news/ticker/samsung-nanosd/Fri, 16 Jan 2026 00:00:00 +0100Samsung Research India has published NanoSD, a family of distilled Stable Diffusion 1.5 models for image restoration on edge devices. The variants range from 130M to 315M parameters, compared with 829M for the SD 1.5 baseline. The team built them with network surgery and feature-wise generative distillation, and they handle super-resolution, deblurring, face restoration and monocular depth estimation. The paper measures latency on the Qualcomm SM8750 NPU in a Galaxy S25 Ultra, with 8-bit weights and 16-bit activations, and on the Apple A17 Pro Neural Engine. The 315M-parameter Prime model needs 27 ms per 128x128 tile, while SD 1.5 with INT4 quantization takes 116 ms. A 4000x3000 image splits into 88 tiles and finishes in about 1.8 seconds end to end. On quality, the Nano-S3Diff variant reaches the best NIQE and MUSIQ scores for super-resolution among the compared methods, and Nano-OSDFace matches OSDFace on face restoration metrics. The authors state that parameter reduction alone does not correlate with hardware efficiency. The paper is published under a CC BY 4.0 license. Source: https://arxiv.org/abs/2601.09823 Read the article: https://llmobile.news/ticker/samsung-nanosd/ResearchNPUDistillation