![]() The system doesn't even seem to have been confused by all the fine sparks either. Of all things that would be incredibly difficult to process, fireworks would have to be the most difficult. If you are a cynic you might want to check out the demo below and skip to 53 seconds in where a fireworks display is tackled with what looks like apparent ease. PR is one thing, and traditionally a company might use easy footage to showcase such abilities, such as a skateboarder against a plain blue sky to minimise warping. We suspect this is due to the fact that this is an AI/machine learning system at work rather than just a straight frame interpolation system like you’d get traditionally. The results that Topaz has posted are impressive, exhibiting none of the sorts of warping issues that you often get with Optical Flow style systems. The new Chronos model has been developed to enable both the creation of slow motion or to convert between frame rates whilst keeping the video duration the same. Now the software has been upgraded with two new AI models, new footage preview options, and a brand new preset manager. Far from being snake oil we found that the software was the real deal, breathing genuine new life into old footage. We were surprised at just how good Topaz Video Enhance AI is when we reviewed it a few months back. You’ll notice some smudge on the type, it’s because I used blend modes.Topaz Video Enhance AI has been updated to version 1.3, and it includes some significant new abilities. I noticed the type was noticeably improved. I quickly tested the man-made mode on typography. Installing studio drivers fixes this, but i also don't want to use studio drivers. After a while the upscaling starts and it's extremely slow, compared to earlier drivers. This update includes an improved model for better upscaling, view previews as a single image, new zoom options and a new man-made mode to better boost the details in typography, architecture, cityscapes, and other images with defined outlines and sharp edges. When you start upscaling with a Gaia model, it first seems to download the model from the servers again, every time you try to run an upscaling. On June 25, 2020, Topaz Labs released Gigapixel AI version 5.0.0. We found the software works with CPUs Intel i3 and Ryzen 3, but from our Topaz Gigapixel review, it’s recommended you get a faster CPU. Internet connection is required to log into the software. Gigapixel AI does not support Intel HD Graphics 4600 or lower. Intel i5 or equivalent (3.0GHz and above)ĢGB of dedicated VRAM (GT 740 or greater)ĢGB of dedicated VRAM (Radeon 5870 or greater)ĤGB of dedicated VRAM (GTX 970 or greater)ĤGB of dedicated VRAM (Radeon RX 460 or greater)ĨGB of dedicated VRAM (GTX 1080 or greater)ĨGB of dedicated VRAM (Radeon RX 580 or greater) This package normally costs $259.97 but is often on sale. The Topaz Labs Image Quality Bundle includes Sharpen AI, DeNoise AI, and Gigapixel AI. I enlarged the image by 6 times and compared the details of the before and after face. The size of the face is small relative to the rest of the image. ![]() I used a 640×1030 pixels image of a woman sitting down. I also tested the facial recognition feature. There is no option to customize resolution ppi during output. The software has batch processing if you want to process hundreds of images. This isn’t a bad thing, since you can do something else in the meantime. It can sometimes take 5 to 10 minutes to process an image. If you were to enlarge a TIFF file that has layers, then the layers will be merged. I have another windows app running on Wine on this machine and it. VideoHelp, digitalFAQ, Doom9, and some others, are not full of gullible newbies. All that's happening is (1) upsize, (2) sharpening, (3) potentially some interpolation. The Topaz software isn't AI, and isn't magic. Both GPUs are identified by Topaz, it just decides to use the CPU. People only believe in magic when they don't understand what's actually happening. In addition, it doesn’t support TIFF layers. The program runs pretty well but even though the selected processor is 1 of 2 Nvidia GPUs, it does not use it, it renders on the CPU. If you want to enlarge a RAW file, I suggest saving the image as a TIFF file then use Gigapixel to upscale to TIFF. I tried correcting the color and contrast by playing with the color settings and spaces in Photoshop but it didn’t work. The color and contrast look washed out once completed to a TIFF or JPEG file. The software will not output a RAW file.Īlso, Gigapixel’s RAW rendering is not good. So, you can’t enlarge everything by 6 times. ![]() When enabled, this feature will enlarge small faces (16×16 to 64×64 pixels) with more detail and sharpness.Ī few important notes about Topaz Gigapixel AI: Gigapixel caps the upscale by either height or width to 22,000 and 32,000 pixels for TIFF and JPEG outputs, respectively. Topaz Gigapixel AI also has face refinement. Not only was the final image still sharp, but the noise was also reduced. Cropped JPEG image sample I used for the TIFF scenario.
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