I want to focus here on how to get the best performance out of the DeNoise AI application, but my short answer is yes it does a very good job of automatically dealing with noise in photos without losing sharpness. Is DeNoise AI really able to do automatic noise reduction or is it a sales pitch that comes up short on execution? I don’t want to spend a lot of time on that here because I have an article called Topaz DeNoise AI vs Lightroom and Photoshop where I share details of my experience with the application. At the same time I hear from a lot of photographers who really struggle with knowing how to use the noise reduction and sharpening tools available in both Lightroom and Photoshop so that automatic part may be the very most appealing thing about the software. Sounds great right? Most photographers run into shooting scenarios where there just isn’t enough light and we end up with noise in our images. Specifically it is software that uses AI models to analyze your photos and automatically figure out how to best reduce the noise while giving up the least amount of sharpness. DeNoise AI specializes in applying noise reduction to photos. DeNoise AI is an application built by Topaz Labs that runs on both PC and Mac. If you already know what DeNoise AI is you can skip this section. There is little difference between M1 Max and M1 Pro for running DeNoise AI. M1 Mac computers run DeNoise as well as PCs with big GPU and only need 16GB of unified memory. Computer memory (RAM) doesn’t matter above 32GB on a PC. CPU also matters, but not as much as a GPU. The story gets even worse if you have an older computer or one that doesn’t have a GPU where the times can get up to more like 25 seconds or more per image.ĭeNoise AI runs fastest with a discrete graphics card (GPU) where GPU cores matters and RAM on the GPU doesn’t. 6 real seconds, not the amount of time DeNoise AI reports as it is processing.Ħ seconds per image is fine when a photographer is taking an image or two through the software, but this is not practical for running thousands of images through DeNoise AI. The fastest I was able to get raw images to be processed in DeNoise AI was about 6 seconds per image. Even on the best of computer hardware here in early 2022 DeNoise AI is not “fast”. Right up front I want to set some expectations on the speed of DeNoise AI. Intel CPUs from ~2015 | Intel HD 5000 iGPU or aboveĨGB (16GB and higher is recommended for improved performance)Īll GPUs are supported on Mac 10.This site is a participant in the Amazon Services LLC Associates and Adorama Affiliate programs. Hardware Minimum Requirements Processor (CPU) Windowsġ0 (build 19041 v2004 and above), Windows 11 The system requirements for Video Enhance AI are slightly different than the system requirements for our photography applications. Many of the requirements are the same or similar to our AI-based image applications, but there are some requirements unique to Video Enhance AI that may be more stringent. Operating System Requirements for Video Enhance AIĪll current Topaz Labs apps require an internet connection for user authentication and/or AI model downloading & updates. If you do not have an Intel iGPU, the software will finally fall back to your CPU, which can be 10 times slower than the Nvidia GPU version. If you do not have an Nvidia graphics card in your device, the software can run on your Intel iGPU. Any graphic card later/better than GTX 1080 (included) will do a fairly fast job. The minimum requirement is GTX 1050 with 4 GB VRAM. We suggest you run Video Enhance AI on high-end Nvidia graphic cards.
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