Topaz Gigapixel v1.1.0 - v1.1.1

Just installed to Win 11 laptop (NVIDIA 4090). Rel. 1.1.1.

Ran a low res phone cam pic of a raptor published on local NextDoor today. The person saw the bird on their balcony railing and shot a quick grab shot of it:

I think Wonder 2 (Cloud - 4x) did a nice job recovering details in the bird (given what the shot is and how it started out!). It’s not as soft as what I thought of the prior Wonder as producing. Granted the shooter needs to crop and straighten and perhaps add a depth/lens blur to soften the background. But it’s considerably improved from the original above:

Cleaned up more - b.g. blurred:

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I like that in your Wonder2 examples the ‘furry’ part of the butterfly looks like fur and not paint strokes.

Out of curiosity, how does that same pic look with TL Phot Sharpening > Wildlife model?

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At which point in the workflow?

As a tradeoff to Wonder 2. Since you typically run several precursor steps to any TL product/model.

What motivated the question: Because Wonder 2 (pics above) produced fine details on an animal & the Wildlife model is skewed to do that too.

Curious if the results would be parity or how they’d be different.

What changed with 1.1.1?

(Quote from the previous thread:) I found that sometimes using Redefine Realistic can create that texture you want, and then you can blend with the original. (end quote)

I have had good success especially with animal pictures by blending the upscaled version from a generative model with that of a non-AI model such as High Fidelity 2.

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There are some details that are better with Recover V2. For example, the clothing and the hand holding a bag. I think combining the Wonder V2 version with the Recover V2 version will create an excellent enhanced image.

I am encountering the identical problem with the RTX 5090. I hope the Topaz developers can resolve this issue promptly.

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The output of Recovery 3 is in a unusable state.
Thats the in app preview.


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M2 Mac Mini (Sequoia latest): Crashed on launch both before and after the 1.1.1 update. Worked OK on second launch for each. Now to do some testing!

Exception Type: EXC_BAD_ACCESS (SIGSEGV)
Exception Codes: KERN_INVALID_ADDRESS at 0x0000000310de572a
Exception Codes: 0x0000000000000001, 0x0000000310de572a

Termination Reason: Namespace SIGNAL, Code 11 Segmentation fault: 11
Terminating Process: exc handler [58441]

VM Region Info: 0x310de572a is not in any region…

Results from 1990s 35mm film scans. For the man, the traditional Standard model gave the best result. For the deer, Redefine Realistic (except the tree got hairy).

I did not make note of sub-settings for the deer, it would be nice if they could be coded into the file name without taking up too many characters.

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I really like the brief, succinct bulleted summary of changes Lingyu included in the most recent TL Photo rel. changelog. It helped me quickly grasp what’s new in that product (with a very short explanatory benefit statement for each bullet). He positioned that above the more in-depth Changelog features/visual examples. It’s a great format for TL product rel. Changelogs to quickly scan for what’s new. Then we can concentrate reading more about the specific features of interest to our indiv workflows. @alexandre.topazlabs @esther.huynh

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I think that goes far beyond what the wildlife model can achieve.

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Wonder 2 - New Workflow



Wonder 2 - New Workflow



Hifi-V2

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Crashed while dragging an image from Adobe Bridge onto GP icon in Dock (Mac Sequoia):

Crashed Thread: 36 QThread

Exception Type: EXC_CRASH (SIGABRT)
Exception Codes: 0x0000000000000000, 0x0000000000000000

Termination Reason: Namespace SIGNAL, Code 6 Abort trap: 6
Terminating Process: Topaz Gigapixel [58509]

Application Specific Information:
abort() called

Another film-based image. Recover 2 and 3 are adding spots in different ways (Recover 3 added little block spots, like dust, while v2 added some white ones)

A 2014 non-DSLR digital image, 4X with various models as seen in the image name:

ON1 Resize, 4X:

Yeah. Those delicate hairs are a challenge for most approaches. And, did well with Wonder 2!

Wonder 2—with the right workflow—is far beyond my imagination.

I’ve never seen anything like that before.


Left Wonder 2 - New Workflow - Left b4 New Workflow.



Wonder 2 - New Workflow



Hifi V2




Wonder 2 - New Workflow - seems like there is a tile.



Hifi V2




ok, Samurai Music is EST. 2007 :wink: not 2887





Wonder 2 - New Workflow



Hifi V2




Hifi V2



Wonder 2 - New Workflow



Wonder 2 - while beta - Old Workflow.

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Further cleaning is a bit too aggressive. All the feather details recovered by Wonder v2 have disappeared on this one. It’s to bad.

The man’s pipe has become a little strange and there’s an eye in it.

The texture is better with On1 Resize. It’s always useful to have several different software programs and models to see which one will be best depending on the source image.

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The results of Wonder V2 are truly impressive. It’s far superior to V1. I’m really looking forward to it being added for local use. I prefer it to using the cloud.