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Gigapixel AI V5 update

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Topaz GigaPixel AI update

Version 5

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Topaz have updated Gigapixel AI to Version 5.

New processing models allow different resizing techniques for different types of image – such as natural scenes or manmade.

The update is a free one for existing users

There’s a 30 day fully functional demo available at Topaz Labs

Oct 2020 – see the V5.2 update notes

Use our discount code ‘Northlight’ for an additional discount on some promotions.

Gigapixel AI

Gigapixel AI V5 update

If you’ve already got the software, you can just update it normally. If you’re looking for examples of what it can do, see my recent article about making an A2 print from a cropped 11MP image taken in 2004. It was also very useful when I was recently testing a new baryta paper and need to make A2 prints form images taken years ago on my Canon 1Ds (11MP).

Change notes

Topaz maintain a change log for Gigapixel AI, which is well worth checking for any update.

Major features
  • New previewing mode: Single Image View
  • New zoom features: zoom to fit, a zoom slider, text field input, and scroll wheel to zoom
  • Updated AI models
  • “Image Type” selection on the right panel: choose between two different AI models, one for natural images (portraits, nature) and man-made images (cityscapes, typography)
  • Preview panning responsiveness has been drastically improved
  • Images that have not been successfully loaded or could cause a crash when processing now pop up a warning that gives more in-depth information for better troubleshooting. Unsupported images include images in the CMYK color space and images with more than four channels (alpha masking channels that have been turned off in Photoshop, for example)
  • New auto-updater: new version installer will now download from within the application
  • Updated back-end CPU processing library
  • Added ability to right-click to select preset zoom amounts
  • Able to now pan on both the original image and the preview image
  • Preview window has been made bigger
  • Certain images should no longer successfully process then fail to save out the image – this was due to corrupted image metadata that was silently failing when exporting the image. Default metadata will now be used.
  • Preview should no longer double process (spinner reaches 100%, then starts over) in most situations. If it does occur please post here with steps on how to replicate.
Known Issues
  • If preview has been cancelled, clicking the Save button will be unresponsive the first time. Clicking it again will successfully start processing
  • Gigapixel will not shut down cleanly sometimes on Windows machines. If Gigapixel fails to open after shutting it down, go into Task Manager and end the process.
  • When zooming out with the scroll wheel or zoom slider, the Navigator outline sometimes does not match up with the section of the image being previewed. Clicking inside of the Navigator panel or on the preview will reset it.
  • Resolution metadata does not correctly get saved out with certain images.
  • Images with corrupted ICC Profile information will crash the software. This can be fixed and verified by opening the image in Photoshop and if a pop up shows that states it can’t read the ICC Profile information, let it auto-convert and save the image back out.

A quick example

Much as ‘face detection’ (in the last update) needs checking with your image, the uses of natural/manmade will depend heavily on the source image you’re using. That means that my architectural images (shot for detail) don’t necessarily show much of a difference between natural/manmade.


Some images do show some differences, but it works best for lower quality images from phones and the like.

It’s not a complaint, it just reflects my observation from initial testing with the software that it pays to consider your workflow in preparing a photo to be enlarged. It makes a huge difference to the output quality (as it should IMHO).

More info

Software – I’ve quite a few Topaz articles/reviews which go into more detail about using their software.

Gigapixel AI – lots more examples

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