There is a thread pinned at the top of this forum, you can’t miss it:
https://community.topazlabs.com/t/contacting-support/25804/5
For most applications in which presentation quality matters, Bilinear or Bicubic scaling is used when enlarging. Gigapixel uses the Nearest Neighbor algorithm instead which is more useful for production purposes as it shows the original pixels as clearly as possible.
1 Like
Thanks for the responses @Viscerous and @TPX. Upon further investigation, I have learned that when viewing a low-resolution image, many programs (including windows photo viewer) use algorithms to “improve” image quality when upscaling the image. The image displayed in the Gigapixel AI is indeed the original image.
I will make an amendment to my original comment.
A wish for a future Gigapixel version down the line:
Possibility to upload own, relevant pictures to use as reference!
For instance: I have taken a blurry image of, say a loudspeaker, using my phone camera in poor lighting.
In Gigapixel, I upload several razor sharp images of said loudspeaker, from manufacturer’s commercial image bank, as references.
Gigapixels puts together a sharp image of my loudspeaker, using the other images as reference.
1 Like
Can you post this Gigapixel AI idea here:
The difference before sharpened or not can make quite a difference.
If you want as much resolution as possible, it’s better to give gigapixel an unsharpened image.
The output from Gigapixel is much finer when you don’t do a presharpen before upscale.
Presharpened in Capture One + Gigapixel
unsharpened before upscale Capture One + Gigapixel + Sharpen soft.
1 Like
What do you find wrt doing a DeNoise (vs SAI) before using GAI?
I have used Photolab 4 before for denoising, the data it spits out can be processed well.
But it is advantageous to let Gigapixel do the last bit of noise (if any).
If you use Denoise before, you have to fade in a lot of the original file so that Gigapixel still has enough to read.
1 Like
Hi Taylor,
I just used GAI 5.6.1 as a plugin to Ps CC 2021 (Win 10 desktop PC).
It did something I hadn’t seen before.
It’s not displaying the mode/model name in the upper left quadrant in Comparison View.
Any idea why that might be?
I tried clicking on that box then tried clicking on Std to have that operate there. No luck.
p.s. Just checked the Standalone and it’s doing the exact same thing. Doesn’t recognize that upper left quadrant as a usable view in Comparison View. And, no label there either.
I thought that was for the original?
Comparison View displays up to three different AI models simultaneously, letting you decide which one works best with your photos. We also ported a new feature from Video Enhance AI that allows you to view the same AI model in all three quadrants using varying parameters.
I think AiDon is right, the top left is the original view?!
Hi Don, That may be that in GAI we can’t adjust the top left quadrant. But it was always labeled. Just like what you’ve posted in your reply.
My comparison view - all of a sudden - has no such label (I don’t think it shows one in my snip); in both Ps plugin & standalone versions. That’s what’s puzzling. I tried to get it to display what that box is with no luck…
Any ideas why my upper left quadrant is label less? Thx.
Pls see my reply to Don above… I’m open to soln approaches! 
Have no idea why it isn’t labeled…
Odd, eh. I thought perhaps it was a flukey new design. So that’s why I questioned it. Hmmm.
Thx for the reply!
1 Like
I checked my GAI 5.6.1 and it is the same as yours with no label for the original. I did stand alone version only (I don’t use Photoshop).
1 Like
Thx for checking! Always reassuring when not just me.
I even uninstalled & reinstalled to see if it would help. It didn’t.
im running a macbook pro 13" with M1 chip and 16gb ram. i noticed that there is a huge memory leak when using M1 chip as ai processor. the app will end up using up to 35gb of ram and swap usage will go nuts up to 25gb and my ssd is being thrashed with writes because of this… to render one picture my laptop wrote over 90Gb on the ssd because of this.
setting the ai processor to cpu fix’s this but render time is just way to long. been running for over 30 min and not even half done.
can we please get this fixed or better yet. have a native m1 build so we don’t have to use rosetta
