The main change in Gigapixel AI 6.0 is native support for Apple’s M1 processors.Īccording to Topaz Labs’ blog post, native M1 support cuts software startup times by 47% over Rosetta emulation, previously used on new Macs and cuts image batch processing times by 44%. New in Gigapixel AI 6.0: native support for Apple M1 processors While there are a number of open-source libraries and free online services for upresing images, its supporters claim that Gigapixel achieves better-quality results. The software supports batch processing, making it possible to run it on entire image libraries.Īlthough it’s marketed primarily at photographers, Gigapixel AI can also be used on rendered imagery – and, as of Gigapixel 5.3, has a dedicated AI mode for CG images and scanned artwork.Īs well as simply upscaling low-res renders to generate high-res images more quickly, it can be used to remove residual noise from renders by upscaling them in Gigapixel, then reducing them to their original size. Its algorithms are trained using a data set of “millions of photos of all subjects and styles”, and can enlarge photos by “up to 600%” before image quality starts to drop visibly. Gigapixel AI is designed to enlarge digital images while preserving their sharpness, using machine learning techniques to fill in the missing details. Machine-learning-trained tool enlarges images without sacrificing detail The update adds native support for Apple’s M1 processors, reducing processing times on M1 Macs by around 40% and an optimised 16-bit version of its Standard AI model to improve performance on Windows.įull disclosure: the update was actually released last month, but we didn’t manage to cover it at the time. Topaz Labs has released Gigapixel AI 6.0, the latest version of its AI-trained software for increasing the resolution of photos or rendered images without softening or introducing noise into the result. Scroll down for news of the Gigapixel AI 6.1 update.

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