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Existing customers who own one or two of the Image Quality applications (DeNoise AI, Sharpen AI, and Gigapixel AI) can get Topaz Photo AI for the same discount price that would normally cost to complete the bundle.ĭown below are the video demos as well as samples and the full press release.Ĭheck out all the details at the dedicated Topaz Photo AI page here.

#Similar to topaz gigapixel ai for free

Existing customers who own all three Image Quality applications ( DeNoise AI, Sharpen AI and Gigapixel AI but are not within a valid update cycle can purchase a Product Upgrade Plan and get Topaz Photo AI for free with one year of updates included.

The Topaz Photo AI update cycle expiration will automatically be set to the latest date of the existing applications.

Existing customers who own all three Image Quality applications ( DeNoise AI, Sharpen AI, and Gigapixel AI and are within a valid update cycle will receive Topaz Photo AI for free.

It comes already with a launch discount, but you can save additional 15% on Topaz Photo AI by using the coupon code GETPHOTOAI making it a total discount of 32%!

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Topaz has released Topaz Photo AI, which merges the incredibly efficient DeNoise AI, Gigapixel AI and Sharpen AI into one single software for a massive usability improvement!Īnd in addition to that, Topaz Photo AI also offers new features like the full Autopilot mode, which you can see at work in the video below. Read a full list of new features in Gigapixel AI 6.Topaz App users like me will say: “ They finally did it!” The software is OpenGL-based, so it should work on any manufacturer’s hardware, but requires a reasonably powerful GPU. Gigapixel AI 6.1 is available as a standalone application for Windows 10+ and macOS 10.14+ and as a plugin for Photoshop and Lightroom Classic, on both Windows and macOS. In the firm’s own tests on a current-gen GeForce RTX 3090 GPU, a 400% upscale of a 4,092 x 2,732px JPEG image was over twice as fast using TensorRT than using DirectML.

In addition, Topaz Labs has changed the machine learning library used on Nvidia GPUs from DirectML to TensorRT, resulting in “significant performance improvements” on GeForce 10, 20 and 30 Series GPUs.

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It preserves detail on skin and eyes better than the previous Face Refinement model, avoiding Uncanny Valley-like effects. The update introduces a new Face Recovery model for upscaling portrait images. Updated : Topaz Labs has released Gigapixel AI 6.1.

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Workflow and UX improvements include increased tonal and colour contrast in the UI and users now have the option to download all of its AI models on installation, to remove the need for manual downloads later. The update also introduces optimised 16-bit backends for the software’s Standard AI model, which should improve performance on Intel Macs, and on Windows machines processing images on the GPU. 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.