# Topaz Gigapixel changelog

> AI image upscaling with generative and model-specific recovery.

- Vendor: Topaz Labs
- Category: Creative Tools
- Platforms: Windows, macOS
- Official site: https://www.topazlabs.com/topaz-gigapixel
- Tracked by: What's New (https://whatsnew.fyi/product/topaz-gigapixel)
- Harvested from: Blog (https://community.topazlabs.com/c/topaz-gigapixel/topaz-gigapixel-releases/128.rss)
- Entries below: 13 (newest first)

What's New is an index, not a publisher: every entry below links to the vendor's own release notes, which are the authoritative source. Entries are labelled where they are hand-curated sample data, pre-releases, or drawn from a secondary source such as a developer blog.

Reuse: the summaries, labels and curation here are © What's New. Quote freely with attribution and a link back; wholesale republication of the corpus is not permitted — terms: https://whatsnew.fyi/terms. The vendors' own release notes remain their publishers'.

## Releases

### v1.3.5 — Topaz Gigapixel v1.3.5

- Date: 2026-08-27
- Version: v1.3.5
- Original notes: https://community.topazlabs.com/t/topaz-gigapixel-v1-3-5/104643
- Permalink: https://whatsnew.fyi/product/topaz-gigapixel/releases/v1.3.5
- Labels: Platforms: Windows, macOS

Hello! This is a small update to focus on bug fixes. Please contact support@topazlabs.com if you’re still experiencing issues. Thank you! Esther H. Topaz Labs Topaz Gigapixel v1.3.5 Windows: Download…

- **fixed** — Fixed certain JPG images loading gray
- **fixed** — Fixed face recovery settings not being passed to the engine correctly
- **fixed** — Fixed grain not processing during slider changes
- **fixed** — Fixed license files not respecting custom install directories on Windows
- **fixed** — Fixed Wonder 3.5 extraction not extracting all files on Mac
- **added** — Added block on running Neuroserver on Apple Silicon devices with under 16GB system memory
- **changed** — Updated the subscription information dialog to make it less confusing
- **changed** — Updated EULA

Hello!
This is a small update to focus on bug fixes. Please contact support@topazlabs.com if you’re still experiencing issues. Thank you!
Esther H.
Topaz Labs
Topaz Gigapixel v1.3.5
Windows: [Download](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.3.5/TopazGigapixel-1.3.5.msi)
Snapdragon: [Download](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.3.5/TopazGigapixel-arm64-1.3.5.msi)
Apple Silicon Mac: [Download](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.3.5/TopazGigapixel-1.3.5-arm64.pkg)
Intel Mac: [Download](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.3.5/TopazGigapixel-1.3.5-x86_64.pkg)
Released August 27th, 2026
Changelog:
- Fixed certain JPG images loading gray
- Fixed face recovery settings not being passed to the engine correctly
- Fixed grain not processing during slider changes
- Fixed license files not respecting custom install directories on Windows
- Fixed Wonder 3.5 extraction not extracting all files on Mac
- Added block on running Neuroserver on Apple Silicon devices with under 16GB system memory
- Neuroserver requires 16GB or may freeze, which is why this block exists
- Updated the subscription information dialog to make it less confusing
- Updated EULA
6 posts - 5 participants
[Read full topic](https://community.topazlabs.com/t/topaz-gigapixel-v1-3-5/104643)

### v1.3.4 — Topaz Gigapixel v1.3.4

- Date: 2026-08-13
- Version: v1.3.4
- Original notes: https://community.topazlabs.com/t/topaz-gigapixel-v1-3-4/104403
- Permalink: https://whatsnew.fyi/product/topaz-gigapixel/releases/v1.3.4
- Labels: Platforms: Windows, macOS

Hello!! A new update of Topaz Gigapixel is here with more improvements and fixes. Topaz Gigapixel v1.3.4 Windows : [Download] Snapdragon : [Download] Apple Silicon Mac : [Download] Intel Mac : [Downlo…

- **added** — Wonder 3.5 model which supports local and cloud processing
- **changed** — Wonder model now produces crisper output with more genuine detail and less repetitive patterned appearance
- **changed** — Wonder model handles noisy source images more gracefully
- **changed** — Wonder model improves recovery of real detail and legible text from low-resolution and heavily compressed photos
- **changed** — Wonder model produces sharper and more accurate output for tables, charts, and structured content
- **added** — Ability to watermark images in export preferences with toggle available in Settings → Export (default off)
- **added** — Support for adding and updating provenance metadata tags
- **fixed** — Font display issue when app font was already installed as a different version
- **fixed** — Rare memory allocation crash

Hello!!
A new update of Topaz Gigapixel is here with more improvements and fixes.
Topaz Gigapixel v1.3.4
Windows: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.3.4/TopazGigapixel-1.3.4.msi)
Snapdragon: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.3.4/TopazGigapixel-arm64-1.3.4.msi)
Apple Silicon Mac: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.3.4/TopazGigapixel-1.3.4-arm64.pkg)
Intel Mac: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.3.4/TopazGigapixel-1.3.4-x86_64.pkg)
Released August 13, 2026
WONDER 3.5 is here!
If you’ve been exploring our Wonder models, Version 3.5 is a straight upgrade — same tool, same speed, just better output.
Here’s what changed:
Images come out crisper with more genuine detail, and that repetitive/patterned look you’d occasionally get is much less common now. Noisy source images also get handled more gracefully.
The real difference shows up when you’re working with rough source material — think low-res or heavily compressed photos. 3.5 pushes harder to recover real detail and legible text from images that used to be tough cases. Tables, charts, and other structured content also come out sharper and more accurate than before.
Everything else you already do well — portraits, landscapes, wildlife, tricky textures — still holds up just as strong.
No new settings to learn, no speed penalty. It’s a drop-in replacement that just performs better.
We would love to see your before and afters using this newest version. Share your results and let us know how we can keep making this model better.
Topaz Labs Watermark Available
Inside this update, we’ve now included the option to include the Topaz Labs watermark on your enhanced images. You can toggle on/off this setting in the Preferences menu under Settings → Export. By default this toggle is off.
Changelog:
- Added Wonder 3.5 which supports local and cloud
- Added ability to watermark images in export preferences (default off)
- Added support for adding and updating provenance metadata tags
- Fixed font display issue when app font was already installed as a different version
- Fixed rare memory allocation crash
73 posts - 16 participants
[Read full topic](https://community.topazlabs.com/t/topaz-gigapixel-v1-3-4/104403)

### v1.3.2 — Topaz Gigapixel v1.3.2 - 1.3.3

- Date: 2026-07-17
- Version: v1.3.2
- Original notes: https://community.topazlabs.com/t/topaz-gigapixel-v1-3-2-1-3-3/104057
- Permalink: https://whatsnew.fyi/product/topaz-gigapixel/releases/v1.3.2
- Labels: Platforms: Windows, macOS

Hello everyone! We’re releasing a new version of Topaz Gigapixel with more improvements and fixes. These include app and installer stability, fixing face recovery artifacts, and support for JXL files.…

- **changed** — Update OpenImageIO
- **fixed** — Fix various HEIC file related crashes
- **added** — Add JXL support
- **changed** — Update ImageAI
- **fixed** — Fix issue with Face Recovery v3 face rendering
- **added** — Add support for non-ascii paths in Windows installer
- **changed** — Update renewal info dialog to be less confusing
- **fixed** — Fix Mac installer sometimes getting stuck unpacking Wonder models
- **fixed** — Fix Windows installer sometimes crashing
- **fixed** — Fix Windows installer model download timeout handling
- **fixed** — Fix cloud upload temp files potentially being renamed incorrectly
- **fixed** — Fix login errors showing on outdated dialog
- **fixed** — Fix thumbnail generation sometimes crashing
- **fixed** — Fix app sometimes being unable to merge instances

Hello everyone!
We’re releasing a new version of Topaz Gigapixel with more improvements and fixes. These include app and installer stability, fixing face recovery artifacts, and support for JXL files.
v1.3.3
Released July 27th, 2026
Windows: [Download](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.3.3/TopazGigapixel-1.3.3.msi)
Snapdragon: [Download](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.3.3/TopazGigapixel-arm64-1.3.3.msi)
Apple Silicon Mac: [Download](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.3.3/TopazGigapixel-1.3.3-arm64.pkg)
Intel Mac: [Download](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.3.3/TopazGigapixel-1.3.3-x86_64.pkg)
v1.3.2
Released June 17th, 2026
Windows: [Download](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.3.2/TopazGigapixel-1.3.2.msi)
Snapdragon: [Download](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.3.2/TopazGigapixel-arm64-1.3.2.msi)
Apple Silicon Mac: [Download](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.3.2/TopazGigapixel-1.3.2-arm64.pkg)
Intel Mac: [Download](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.3.2/TopazGigapixel-1.3.2-x86_64.pkg)
Changelog
v1.3.3
- Fixed export menu forgetting output folders
- Fixed random crashing and slower performance
- Fixed subscription info dialog showing invalid price
- Fixed crash in crop due to missing icon
- Fixed Mac installer stalling when verifying models
- Fixed various other miscellaneous crashes
v1.3.2
- Update OpenImageIO
- Fixes various HEIC file related crashes
- Adds JXL support
- Updated ImageAI
- Fixed issue with Face Recovery v3 face rendering
- Added support for non-ascii paths in Windows installer
- Updated renewal info dialog to be less confusing
- Fixed Mac installer sometimes getting stuck unpacking Wonder models
- Fixed Windows installer sometimes crashing
- Fixed Windows installer model download timeout handling
- Fixed cloud upload temp files potentially being renamed incorrectly
- Fixed login errors showing on outdated dialog
- Fixed thumbnail generation sometimes crashing
- Fixed app sometimes being unable to merge instances
45 posts - 17 participants
[Read full topic](https://community.topazlabs.com/t/topaz-gigapixel-v1-3-2-1-3-3/104057)

### v1.3.1 — Topaz Gigapixel v1.3.1

- Date: 2026-06-11
- Version: v1.3.1
- Original notes: https://community.topazlabs.com/t/topaz-gigapixel-v1-3-1/103355
- Permalink: https://whatsnew.fyi/product/topaz-gigapixel/releases/v1.3.1
- Labels: Platforms: Windows, macOS

Hello everyone! Today we have a patch release for Topaz Gigapixel with a large list of fixes. These changes address issues with Wonder 3, Redefine, batch processing behavior, cloud render, and various…

- **changed** — Update NeuroServer to improve processing speed 2x on Mac and up to 4x on Windows
- **added** — Add color correction to High Fidelity 3 to prevent color shift
- **added** — Add double-click to maximize window on Mac
- **added** — Block generative models on Windows ARM with tooltips explaining they are not supported on that platform
- **fixed** — Fix face recovery processing greyscale images twice
- **fixed** — Fix Redefine Creative model applying Redefine Realistic instead when used on a batch of images
- **fixed** — Fix Redefine model preview not updating when the image prompt is changed
- **fixed** — Fix Standard Max cloud strength tooltip showing 0 or 1 instead of the correct value
- **fixed** — Fix Wonder 3 grain settings not being included in cloud renders
- **fixed** — Fix Wonder 3 enhancement strength not showing correctly in cloud renders after restarting application
- **fixed** — Fix Wonder 3 batch processing using the same strength for all images when different strengths are selected
- **fixed** — Fix Intel Mac color shift when sending images to cloud render
- **fixed** — Fix legacy models appearing in the model selector menu instead of only the model version dropdown
- **fixed** — Fix output image PPI not matching expected resolution for print when using cloud render
- **fixed** — Fix options menu not appearing in the cloud render queue
- **fixed** — Fix out-of-memory crash on images larger than 40MP on some NVIDIA hardware
- **fixed** — Fix Wonder model download not retrying on failure during Mac installation
- **fixed** — Fix Don't show again checkbox not functioning on Neuroserver local render not available dialog
- **fixed** — Fix face recovery help link
- **fixed** — Fix macOS title bar buttons not centering correctly

Hello everyone!
Today we have a patch release for Topaz Gigapixel with a large list of fixes. These changes address issues with Wonder 3, Redefine, batch processing behavior, cloud render, and various miscellaneous issues.
We also shipped a NeuroServer update that brings 2x faster processing on Mac, and up to 4x faster processing on low VRAM GPUs (8GB to 12GB) for Windows!
v1.3.1
Released June 11th, 2026
Windows: [Download](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.3.1/TopazGigapixel-1.3.1.msi)
Snapdragon: [Download](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.3.1/TopazGigapixel-arm64-1.3.1.msi)
Apple Silicon Mac: [Download](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.3.1/TopazGigapixel-1.3.1-arm64.pkg)
Intel Mac: [Download](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.3.1/TopazGigapixel-1.3.1-x86_64.pkg)
Neuroserver Speed Improvements for Mac and Windows
In this release are many improvements to NeuroServer which speeds up both Mac and Windows processing in different ways. Overall, NeuroServer runs efficiently compared to previous versions, which benefits all NeuroServer-based models: Wonder 2, Wonder 3, and Recover Faces 3.
Mac
On Mac, two things changed. First, NeuroServer initialization and model loading are significantly faster. The first run after installing should start up noticeably quicker, and subsequent runs load faster too. Second, processing now uses both the GPU and Neural Engine together. Combined, Mac processing is almost 2x faster across all NeuroServer models.
Windows
On GPUs that meet the minimum VRAM requirements (8GB and 12GB cards) NeuroServer was running inefficently due to memory usage. We have reduced requirements to allow faster image processing on these devices which were bottlenecked by memory. For 8GB and 12GB VRAM GPUs, the speed improvement is up to 4x.
in our testing with an NVIDIA 4060 Laptop GPU with 8GB VRAM, we upscaled a 24MP image to 96MP (2x upscale) with the following results. Note that devices with more GPU have lower improvement due to no memory bottleneck in processing.
- 1982s (33m) processing time on v1.3.0
- 450s (7.5m) processing time on v1.3.1, a 4x increase
If you’ve been avoiding these models for larger images or batches because of processing time, this update changes that calculation.
Changelog
- Update NeuroServer to improve processing speed 2x on Mac and up to 4x on Windows
- Add color correction to High Fidelity 3 to prevent color shift
- Add double-click to maximize window on Mac
- Block generative models on Windows ARM with tooltips explaining they are not supported on that platform
- Fix face recovery processing greyscale images twice
- Fix Redefine Creative model applying Redefine Realistic instead when used on a batch of images
- Fix Redefine model preview not updating when the image prompt is changed
- Fix Standard Max cloud strength tooltip showing 0 or 1 instead of the correct value
- Fix Wonder 3 grain settings not being included in cloud renders
- Fix Wonder 3 enhancement strength not showing correctly in cloud renders after restarting application
- Fix Wonder 3 batch processing using the same strength for all images when different strengths are selected
- Fix Intel Mac color shift when sending images to cloud render
- Fix legacy models appearing in the model selector menu instead of only the model version dropdown
- Fix output image PPI not matching expected resolution for print when using cloud render
- Fix “…” options menu not appearing in the cloud render queue
- Fix out-of-memory crash on images larger than 40MP on some NVIDIA hardware
- Fix Wonder model download not retrying on failure during Mac installation
- Fix “Don’t show again” checkbox not functioning on Neuroserver local render not available dialog
- Fix face recovery help link
- Fix macOS title bar buttons not centering correctly
- Fix Topaz Labs appearing at incorrect size for Photoshop Automate plugin
- Fix crash from log file corruption
- Fix variou

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### v1.3.0 — Topaz Gigapixel v1.3.0 - Recover Faces 3 & 300% Speed Up for NeuroServer Models

- Date: 2026-05-14
- Version: v1.3.0
- Original notes: https://community.topazlabs.com/t/topaz-gigapixel-v1-3-0-recover-faces-3-300-speed-up-for-neuroserver-models/102815
- Permalink: https://whatsnew.fyi/product/topaz-gigapixel/releases/v1.3.0
- Labels: Platforms: Windows, macOS

Hello everyone! We have another Topaz Gigapixel release only a week after our previous release! We have another new model as well as a huge speed improvement for some NeuroServer-based models. Recover…

- **added** — Add Recover Faces 3 model for portrait quality face recovery with no size limit
- **added** — Recover Faces 3 processes on NeuroServer for NVIDIA, AMD, and Apple Silicon (macOS 14 or later)
- **changed** — Recover Faces 3 eliminates dot artifacts that appeared at high strength levels in Recover Faces 2
- **changed** — Update NeuroServer to achieve over 300% speed improvement for Wonder 3 and Recover Faces 3
- **fixed** — Fix crash with face parse model in image analysis
- **fixed** — Fix Recover Faces 3 grey output on Windows devices with foreign locales
- **removed** — Sunset Recover Faces 1 model due to lower quality

Hello everyone!
We have another Topaz Gigapixel release only a week after our previous release! We have another new model as well as a huge speed improvement for some NeuroServer-based models.
- Recover Faces 3 — Portrait Quality Face Recovery
- Wonder 3 & Recover Faces 3 Speed Improvements with NeuroServer — Over 300% Faster
v1.3.0
Released May 13th, 2026
Windows: [Download](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.3.0/TopazGigapixel-1.3.0.msi)
Snapdragon: [Download](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.3.0/TopazGigapixel-arm64-1.3.0.msi)
Apple Silicon Mac: [Download](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.3.0/TopazGigapixel-1.3.0-arm64.pkg)
Intel Mac: [Download](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.3.0/TopazGigapixel-1.3.0-x86_64.pkg)
Recover Faces 3 — Portrait Quality Face Recovery
Recover Faces 2 had two problems that limited how useful it was for many images.
The first was a hard size limit. Recover Faces 2 has a maximum output size of 512x512 pixels. Faces larger than that are forced to the smaller size, losing detail and sharpness. Faces that needed recovery would look smooth and out of place when compared to the rest of the image. Our recommendation was to avoid using it entirely in these situations.
The second was dot artifacts that appeared at high strength levels, exactly when you’d need strong recovery the most. On blurry or low quality faces, a strong face recovery is needed, but artifacts would make the result unusable.
Recover Faces 3 fixes both these issues to expand when the enhancement can be used.
The size limit is gone. Recover Faces 3 sharpens and recovers soft detail on faces of any size, producing sharp, portrait-quality output regardless of how large the face is in the frame. This image has a large face with soft details. There is room for improvement, but the existing Recover Faces 2 model would not create an acceptable output.
Using Recover Faces 2, the freckles are reduced significantly. The eyes are softened instead of improved. Eyebrow hairs are blended together as well.
Meanwhile, Recover Faces 3 is able to sharpen the eyes, improve the skin, and enhance the eyebrows too. It’s far better suited for high quality outputs.
The dot artifact issue is resolved. You can push strength as high as the image calls for without worrying about it. For low quality or heavily degraded faces, that means the model recovers those faces with high quality output.
The new model is a generative recover faces model that processes each face separately. Each additional face selected will increase processing time. For example, 4 similarly sized faces will take 4x the time compared to 1 face of the same size.
For faces already with decent quality and below the 512x512 pixel limit, Recover Faces 2 will still do the job and process faster. For large faces, blurry faces, or anything degraded enough that Recover Faces 2 struggled, 3 is the better starting point. and the quality difference is worth the extra processing time.
Recover Faces 3 runs on NeuroServer and processes locally on NVIDIA, AMD, and Apple Silicon (macOS 14 or later).
Cloud render is currently unavailable for Recover Faces 3, so it will require local processing to run.
Due to the lower quality of the older model, we are sunsetting Recover Faces 1.
Wonder 3 & Recover Faces 3 Speed Improvements with NeuroServer — Over 300% Faster
NeuroServer-based models are now significantly faster. We reduced the model load time and increased processing speed for Wonder 3 and Recover Faces 3.
Testing with a NVIDIA 3080 at 20MP output, we saw a speed increase of 330%. For larger images and faster GPUs, the speed increase is possibly even larger. If you’ve been putting off images and batches because of processing time, this update will enable you to use these models more.
Hopefully this encourages more usage for these models with images that need the extra push.
Known Issues
- Recover faces 3 intermittent out of

_[Truncated at 4000 characters — full notes: https://community.topazlabs.com/t/topaz-gigapixel-v1-3-0-recover-faces-3-300-speed-up-for-neuroserver-models/102815]_

### v1.2.0 — Topaz Gigapixel v1.2.0 - Wonder 2, Wonder 3, and High Fidelity v3

- Date: 2026-05-07
- Version: v1.2.0
- Original notes: https://community.topazlabs.com/t/topaz-gigapixel-v1-2-0-wonder-2-wonder-3-and-high-fidelity-v3/102626
- Permalink: https://whatsnew.fyi/product/topaz-gigapixel/releases/v1.2.0
- Labels: Platforms: Windows, macOS

Hello everyone! Today we have a very exciting update for Topaz Gigapixel. We are bringing NeuroStream and NeuroServer technology to enable our most powerful upscaling models locally for the applicatio…

- **added** — NeuroStream technology that reduces VRAM requirements by up to 95% for running large models on everyday hardware
- **added** — NeuroServer lightweight local server that automatically manages model loading and processing in the background
- **added** — Wonder 2 Local Render for photorealistic image recovery running locally on supported hardware
- **added** — Wonder 3 model with improved recovery across images of varying quality and size
- **added** — High Fidelity v3 model with better detail and fewer artifacts
- **changed** — Wonder 2 now supports local rendering on NVIDIA GPUs with 8GB VRAM or more, AMD GPUs with 8GB VRAM or more, and Apple Silicon with 16GB RAM on macOS 14 or later

Hello everyone!
Today we have a very exciting update for Topaz Gigapixel. We are bringing NeuroStream and NeuroServer technology to enable our most powerful upscaling models locally for the application. In addition, we have the new High Fidelity v3 model for improving high quality images.
- NeuroStream & NeuroServer — Local Rendering for Large Models
- Wonder 2 Local Render — Photorealistic Recovery, Now Running Locally
- Wonder 3 — Smarter Recovery Across More Images
- High Fidelity v3 — Better Detail, Fewer Artifacts
You can find the installer links and the full changelog below for this version of Topaz Gigapixel. For any issues, make sure to send us an email to support@topazlabs.com
v1.2.0
Released May 7th, 2026
Windows: [Download](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.2.0/TopazGigapixel-1.2.0.msi)
Snapdragon: [Download](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.2.0/TopazGigapixel-arm64-1.2.0.msi)
Apple Silicon Mac: [Download](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.2.0/TopazGigapixel-1.2.0-arm64.pkg)
Intel Mac: [Download](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.2.0/TopazGigapixel-1.2.0-x86_64.pkg)
NeuroStream & NeuroServer — Local Rendering for Large Models
As our models have grown more powerful, so have their hardware demands. The best results were increasingly locked behind extremely powerful GPUs, limiting how many users could actually take advantage of them locally. As those requirements kept growing, we knew we needed to rethink how we build, deliver, and run these models. That rethinking led to NeuroStream.
NeuroStream is a proprietary, industry-first technology that reduces VRAM requirements by up to 95%, allowing large models like Wonder 2 and Wonder 3 to run on everyday hardware without sacrificing output quality. The only tradeoff is a minor reduction in processing speed. What once required an extremely powerful GPU accessible only on the cloud can now run on the hardware most users already have.
To use NeuroStream technology on your device we’ve built NeuroServer. This lightweight local server runs on your machine when you select a model that requires it. Topaz Gigapixel will automatically spin up NeuroServer in the background, load the model, and process your images. When it’s no longer needed, the server shuts down on its own.
This opens a new chapter for what’s possible in Topaz Gigapixel. NeuroStream removes the biggest barrier to running powerful models locally, and we’re already working on bringing more models to the application using this technology. We’re excited about what’s ahead as we break down barriers for AI processing.
Wonder 2 Local Render — Photorealistic Recovery, Now Running Locally
Wonder 2 quickly became a fan favorite after its launch, delivering artifact-free enhancements, reliable text preservation, and our most powerful realistic recovery to date. The catch was that Wonder 2’s resource demands meant it could only run in the cloud.
That changes today.
With the introduction of NeuroStream and NeuroServer, we’ve built the infrastructure to bring Wonder 2 to your local machine. These technologies allow larger, more demanding models to run directly on your device and Wonder 2 is the first to take advantage of them.
Local rendering is currently supported on:
- NVIDIA GPUs: 8GB VRAM or more
- AMD GPUs: 8GB VRAM or more
- Apple Silicon: 16GB RAM, macOS 14 or later
Intel Mac and Windows ARM (Snapdragon) users will continue to use cloud render for Wonder 2. Cloud render supports output up to 100MP.
For supported hardware, you can choose between local and cloud render depending on your preference. The two models have a slightly different character: the local model renders a bit sharper and less grainy than the cloud version, with particularly strong handling of faces and skin detail. If portraits are a big part of your workflow, it’s worth trying both and seeing which look you prefer.
With local rendering now available, you can process

_[Truncated at 4000 characters — full notes: https://community.topazlabs.com/t/topaz-gigapixel-v1-2-0-wonder-2-wonder-3-and-high-fidelity-v3/102626]_

### v1.1.3 — Topaz Gigapixel v1.1.3

- Date: 2026-03-06
- Version: v1.1.3
- Original notes: https://community.topazlabs.com/t/topaz-gigapixel-v1-1-3/101270
- Permalink: https://whatsnew.fyi/product/topaz-gigapixel/releases/v1.1.3
- Labels: Platforms: Windows, macOS

Hello! We’ve just released a small patch that addresses some issues. We’ve also updated our UI library which means that the new minimum version for MacOS is now 13.0 (Ventura). For more info, please s…

- **changed** — Updated Qt from 6.8.0 to 6.10.0
- **changed** — Minimum MacOS version is now 13.0 (Ventura)
- **changed** — Redefined realistic is no longer marked beta
- **fixed** — Fixed enterprise SSO login
- **fixed** — Fixed get help dialog showing underneath other dialogs
- **fixed** — Fixed M1 Recover warning's do not show option not working
- **fixed** — Fixed changing crop size not updating cloud estimate
- **fixed** — Fixed text field right click menu on Mac being disabled
- **fixed** — Fixed initialization being stuck in some cases
- **fixed** — Fixed export prefix and suffix accepting some invalid characters

Hello!
We’ve just released a small patch that addresses some issues. We’ve also updated our UI library which means that the new minimum version for MacOS is now 13.0 (Ventura).
For more info, please see the change log below.
Amy M.
Topaz Labs
Topaz Gigapixel v1.1.3
Windows: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.1.3/TopazGigapixel-1.1.3.msi)
Mac: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.1.3/TopazGigapixel-1.1.3.pkg)
Snapdragon: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.1.3/TopazGigapixel-arm64-1.1.3.msi)
Released March 6th, 2026
Changelog:
- Updated to Qt from 6.8.0 to 6.10.0
- Qt 6.10.0 requires a minimum MacOS version of 13.0 (Ventura)
- Redefined realistic is no longer marked beta
- Fixed enterprise SSO login
- Fixed get help dialog showing underneath other dialogs
- Fixed M1 Recover warning’s do not show option not working
- Fixed changing crop size not updating cloud estimate
- Fixed text field right click menu on Mac being disabled
- Fixed initialization being stuck in some cases
- Fixed export prefix and suffix accepting some invalid characters
88 posts - 22 participants
[Read full topic](https://community.topazlabs.com/t/topaz-gigapixel-v1-1-3/101270)

### v1.1.2 — Topaz Gigapixel v1.1.2

- Date: 2026-02-13
- Version: v1.1.2
- Original notes: https://community.topazlabs.com/t/topaz-gigapixel-v1-1-2/100818
- Permalink: https://whatsnew.fyi/product/topaz-gigapixel/releases/v1.1.2
- Labels: Platforms: Windows, macOS

Hi everyone! We’ve just released a small patch that includes a few UI refinements—such as added Recover 3 local rendering support on Mac , update to legacy models, and a cleaner Generative preview exp…

- **added** — Allow Recover 3 to run locally on Mac
- **added** — Added seat management for reclaiming seats
- **added** — Allow JPG and TIF as new extensions to export
- **added** — Added OAuth failure page for when OAuth doesn't succeed
- **changed** — Moved Recover 1 to legacy models
- **changed** — Improved memory usage in logger
- **changed** — Replaced file size estimation with megapixel count
- **changed** — Removed window previews for some generative models
- **changed** — Updated app icons around the app to use SVG versions
- **changed** — Proc error dialog now directs to the Get help dialog
- **changed** — Wonder now shows version number
- **changed** — Updated translations
- **fixed** — User icon no longer hides when cloud is disabled
- **fixed** — Only show overwrite warning when exporting would overwrite
- **fixed** — Fixed some small memory leaks
- **fixed** — Fixed cloud outputs not keeping selected PPI settings
- **fixed** — Fixed Intel Mac crashing on some scales
- **fixed** — Fixed model verification stalling if no models are found
- **fixed** — Fixed windows installer permissions for non-Latin locales
- **fixed** — Fixed logging out causing a cloud refresh that fails
- **fixed** — Fixed cloud hover tip not restricting long prompts
- **fixed** — Fixed crop settings not being correct in some cases
- **fixed** — Fixed seat management showing wrong admin email

Hi everyone!
We’ve just released a small patch that includes a few UI refinements—such as added Recover 3 local rendering support on Mac, update to legacy models, and a cleaner Generative preview experience—along with several important fixes related to cropping accuracy, export behavior, file size estimates, and other issues.
We will be continuing to work and monitor issues related to the Cloud Queue and model quality. Thank you again for your support!
Esther H.
Topaz Labs
Topaz Gigapixel v1.1.2
Windows: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.1.2/TopazGigapixel-1.1.2.msi)
Mac: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.1.2/TopazGigapixel-1.1.2.pkg)
Snapdragon: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.1.2/TopazGigapixel-arm64-1.1.2.msi)
Released February 13, 2026
Recover 3 Now Available on Mac
Recover 3 does not work on M1 devices with macOS 26 (Tahoe). We are working with Apple to fix this issue.
With this addition, Recover 1 has been moved to our Legacy models.
To access Recover 1 for local rendering:
- Go to the Topaz Gigapixel Main Menu
- Select Settings
- Find “AI model” and toggle on “Show Legacy Models”
- Choose “Recover 1” and click Save.
Updated UI for Generative Models: We’ve removed the preview controls for generative models. The previous preview system did not accurately reflect final output quality, and users reported ongoing inconsistencies between preview images and rendered results. Removing these controls ensures previews better represent the final exported output.
File Size Estimator Removed
The File Size estimator in the right-side panel has been removed due to discrepancies between the estimated size and the final exported file. To reduce confusion and improve accuracy, we’ve removed it from the UI and replaced it with megapixel size.
Changelog:
- Allow Recover 3 to run locally on Mac
- Moved Recover 1 to legacy models
- Added seat management for reclaiming seats
- Allow JPG and TIF as new extensions to export
- Improved memory usage in logger
- Added OAuth failure page for when OAuth doesn’t succeed
- Replaced file size estimation with megapixel count
- Removed window previews for some generative models
- Updated app icons around the app to use SVG versions
- Proc error dialog now directs to the Get help dialog
- User icon no longer hides when cloud is disabled
- Only show overwrite warning when exporting would overwrite
- Wonder now shows version number
- Updated translations
- Fixed some small memory leaks
- Fixed cloud outputs not keeping selected PPI settings
- Fixed Intel Mac crashing on some scales
- Fixed model verification stalling if no models are found
- Fixed windows installer permissions for non-Latin locales
- Fixed logging out causing a cloud refresh that fails
- Fixed cloud hover tip not restricting long prompts
- Fixed crop settings not being correct in some cases
- Fixed seat management showing wrong admin email
51 posts - 17 participants
[Read full topic](https://community.topazlabs.com/t/topaz-gigapixel-v1-1-2/100818)

### v1.1.0 — Topaz Gigapixel v1.1.0 - v1.1.1

- Date: 2026-01-23
- Version: v1.1.0
- Original notes: https://community.topazlabs.com/t/topaz-gigapixel-v1-1-0-v1-1-1/100363
- Permalink: https://whatsnew.fyi/product/topaz-gigapixel/releases/v1.1.0
- Labels: Platforms: Windows, macOS

Hello! Today we’re excited to release Topaz Gigapixel v1.1.0 , an update focused on expanding our generative model lineup , refining the Cloud rendering workflow , and delivering a number of important…

- **added** — Added Wonder 2 model for cloud rendering focused on precision detail, realistic enhancement of faces and skin textures, and minimization of artificial-looking patterns
- **added** — Added Recover 3 model for soft and realistic enhancement, available on Windows for local rendering and on macOS for cloud rendering
- **added** — Added Download All button to Cloud Queue to download all completed renders in the background at once
- **added** — Added Cloud Queue access directly from the Import page
- **changed** — Updated File List to display which generative model was used, associated model settings, and quick hover access to Redefine prompts
- **changed** — Updated Image AI model
- **changed** — Improved error handling and status updates for Cloud rendering
- **changed** — Implemented automatic Lensfun updates
- **fixed** — Fixed HEIC loading issues in some cases
- **fixed** — Fixed plugin dialog not appearing
- **fixed** — Fixed potential crashes in model downloader
- **fixed** — Fixed longest edge preferences not sticking
- **fixed** — Fixed Cloud queue naming and refresh issues
- **fixed** — Fixed cloud thumbnails in most cases
- **fixed** — Fixed cloud filenames being incorrect on upload
- **fixed** — Fixed cloud uploads not being deleted in some cases
- **fixed** — Fixed cloud errors displaying wrong model name
- **fixed** — Fixed TIFF file error handling in Cloud Compare tool
- **fixed** — Fixed cloud uploads sometimes deleting files incorrectly
- **added** — Restored New Features dialog with updated slides

Hello!
Today we’re excited to release Topaz Gigapixel v1.1.0, an update focused on expanding our generative model lineup, refining the Cloud rendering workflow, and delivering a number of important fixes and quality-of-life improvements.
Thanks again for being part of the Topaz Gigapixel community
As always, we’d love to hear your feedback.
Esther H.
Topaz Labs
Topaz Gigapixel v1.1.1
Windows: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.1.1/TopazGigapixel-1.1.1.msi)
Mac: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.1.1/TopazGigapixel-1.1.1.pkg)
Snapdragon: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.1.1/TopazGigapixel-arm64-1.1.1.msi)
Released on January 23, 2026
Topaz Gigapixel v1.1.0
Windows: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.1.0/TopazGigapixel-1.1.0.msi)
Mac: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.1.0/TopazGigapixel-1.1.0.pkg)
Snapdragon: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.1.0/TopazGigapixel-arm64-1.1.0.msi)
Released on January 22, 2026
Wonder 2 — Precision Detail Without the “AI Look” (Cloud Only)
Wonder 2 is an evolution of the original Wonder model, redesigned to focus on precision and realism—especially in faces, skin textures, and fine surface detail.
The goal with Wonder 2 is to aim for:
- Restore fine facial and texture detail
- Recovers text, logos, and signage
- Reduce artificial-looking patterns
- Minimize generative artifacts
- Improve overall quality compared to Wonder 1
Key things to know
- Cloud render only for Topaz Gigapixel
- Single-step model with no preview controls
- Best results when upscaling 4×
- Not recommended for low-light phone images with heavy noise
Wonder 1 vs Wonder 2 results & false resolution
If you’ve experienced getting good results with Wonder 1 but not with Wonder 2, there is a chance your image may have false resolution. This is common with images from scanners, screen captures, or online sources. False resolution happens when an image is upscaled—its pixel dimensions are increased without adding real detail. The image looks large, but the extra pixels are interpolated and don’t contain true information.
You can spot false resolution by viewing the image at 100% (actual size). If you see compression blocks, pixel stepping, or artifacts in areas that should be smooth, the image likely has false resolution.
Workaround:
Try downscaling the image first. Downscaling can be done in a different image editor. Downscaling removes excess fake pixels and condenses the real detail, which often leads to clearer results when processing the image in Topaz Gigapixel with Wonder 2.
Recover 3 — Our Most Natural Enhancement Model Yet
Recover 3 is built for users who want soft, realistic enhancement rather than aggressive detail reconstruction. It shines especially with:
- Fur and feathers
- Natural textures that benefit from subtle recovery
Unlike Wonder 2, Recover 3 is designed to be a general-purpose enhancement model rather than a precision generative tool.
Availability
- Windows: Local + Cloud
- macOS: Cloud only (local support coming later)
How to Use
- Select the Recover model
- Selec the version from the dropdown menu and select “Recover 3”
- Choose a strength mode (Low/Med/High) - the app defaults the Medium option as the best balanced enhancement. The strength mode controls the intensity of the detail enhanced.
Recommended usage
- Optimal input size: 1024 × 1024 or smaller
- Larger images are supported, but renders more slowly
- Not recommended for highly structured or high-grain images
Updated File List
We’ve updated the File List to better reflect generative workflows.
You’ll now see:
- Which generative model was used
- Any associated model settings
- Quick hover access to Redefine prompts
This makes it much easier to review how an image was processed—especially when mixing Core and Generative models.
Cloud Queue — Small Work

_[Truncated at 4000 characters — full notes: https://community.topazlabs.com/t/topaz-gigapixel-v1-1-0-v1-1-1/100363]_

### v1.0.3 — Topaz Gigapixel v1.0.3 - v1.0.7

- Date: 2025-11-14
- Version: v1.0.3
- Original notes: https://community.topazlabs.com/t/topaz-gigapixel-v1-0-3-v1-0-7/98426
- Permalink: https://whatsnew.fyi/product/topaz-gigapixel/releases/v1.0.3
- Labels: Platforms: Windows, macOS

Hello! This update introduces important improvements to stability, performance, and image quality across the app. The highlight of this release is the new Grain Toggle , which gives users a little mor…

- **added** — Add Grain Toggle for all models both locally and in the cloud to allow users to adjust texture and realism in upscaled images
- **added** — Add support for Intel Mac users to access all of Topaz Gigapixel's models
- **added** — Add ability to view truncated filename by hovering in file list
- **added** — Add new error dialog if app detects a plugin issue
- **changed** — Reduce number of network calls for cloud updates
- **changed** — Update OpenImageIO to 3.1.6.2
- **changed** — Update Libraw to October release
- **changed** — Update OpenVINO
- **changed** — Update how model downloads are handled and displayed
- **changed** — Disable local exports for generative models on Intel Macs
- **fixed** — Fix cloud dialog's copy ID popup not disappearing when scrolling
- **fixed** — Fix some tooltips missing in cloud queue
- **fixed** — Fix cloud queue count indicator not being sized correctly
- **fixed** — Fix model resetting when loading an image
- **fixed** — Fix stall on startup
- **fixed** — Fix performance regressions when loading large batches
- **fixed** — Fix 16-bit thumbnails not loading correctly
- **fixed** — Fix ARM installer giving incorrect error when run on x86
- **fixed** — Fix corrupted output on generative models when input color profile is not invertible
- **fixed** — Fix generative preview controls not showing on non-Intel Macs

Hello!
This update introduces important improvements to stability, performance, and image quality across the app.
The highlight of this release is the new Grain Toggle, which gives users a little more flexibility over the final look of their upscaled images—allowing them to retain natural results or add aesthetic texture to match their creative intent.
Overall, this update enhances both the quality of results and the efficiency of your editing experience.
We appreciate your feedback and look forward to seeing results from your use of Grain!
Thank you!
Esther Huynh
Associate Product Manager
Please use the latest v1.0.7 download links if you’re experiencing an issue with model download errors. If you continue experience issues even after updating, please contact support@topazlabs.com with logs. You can see a description all other changes in the Changelog below.
Topaz Gigapixel v1.0.7
Windows: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.0.7/TopazGigapixel-1.0.7.msi)
Mac: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.0.7/TopazGigapixel-1.0.7.pkg)
Snapdragon: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.0.7/TopazGigapixel-arm64-1.0.7.msi)
Released December 16, 2025
_
Topaz Gigapixel v1.0.5
Windows: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.0.5/TopazGigapixel-1.0.5.msi)
Mac: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.0.5/TopazGigapixel-1.0.5.pkg)
Snapdragon: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.0.5/TopazGigapixel-arm64-1.0.5.msi)
Released December 9, 2025
_
Topaz Gigapixel v1.0.4
Windows: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.0.4/TopazGigapixel-1.0.4.msi)
Mac: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.0.4/TopazGigapixel-1.0.4.pkg)
Snapdragon: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.0.4/TopazGigapixel-arm64-1.0.4.msi)
Released November 18, 2025
–
Topaz Gigapixel v1.0.3
Windows: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.0.3/TopazGigapixel-1.0.3.msi)
Mac: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.0.3/TopazGigapixel-1.0.3.pkg)
Snapdragon: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.0.3/TopazGigapixel-arm64-1.0.3.msi)
Released November 14, 2025
New Addition: GRAIN
The new Grain Toggle, now available for all models both locally and in the cloud! While our generative models can occasionally introduce results that feel a bit too smooth or artificial, this subtle but powerful control lets users dial grain back into the image to restore texture and realism. Whether you’re matching the feel of a camera sensor, preserving film-like detail, or avoiding overly polished outputs, the Grain Toggle offers a simple way to create more natural-looking results with just a single adjustment.
You can find the Grain toggle beneath the model settings in the right panel.
Use the different sliders to adjust the grain to your liking. Turn the toggle on and off to review the grain.
Let us know if there is more we can do to improve this feature!
Support for Intel Mac users returns
Intel mac users now have the ability to access all of Topaz Gigapixel’s models again.
Local exports for generative models will be disabled.
Changelog:
- (v1.0.7) Fixed CMYK JPEG images not loading
- (v1.0.5) Fixed crash when downloading models to a file without write permissions
- (v1.0.5) Fixed Windows installer leaving model files without write permissions if download step is canceled
- (v1.0.4) Added block for CMYK JPEGs due to crash (Convert to TIFF or change colorspaces)
- (v1.0.4) Fixed generative preview controls not showing on non-Intel Macs
- (v1.0.4) Fixed dimensions not being visually correct when importing multiple images
- (v1.0.4) Fixed subscription dialog header being completely hidden on small window sizes
- Added Intel Mac support
- Added new Grain opti

_[Truncated at 4000 characters — full notes: https://community.topazlabs.com/t/topaz-gigapixel-v1-0-3-v1-0-7/98426]_

### v1.0.2 — Topaz Gigapixel v1.0.2

- Date: 2025-09-24
- Version: v1.0.2
- Original notes: https://community.topazlabs.com/t/topaz-gigapixel-v1-0-2/96373
- Permalink: https://whatsnew.fyi/product/topaz-gigapixel/releases/v1.0.2
- Labels: Platforms: Windows, macOS

Hello! We have a patch release with fixes for the most frequent issues since release especially related to plugins not working. How to open Photoshop plugin: Open Photoshop Click on the File Menu > Au…

- **fixed** — Photoshop plugin
- **fixed** — Login dialog always showing success on startup
- **fixed** — Cloud download paths being incorrectly handled in some cases
- **changed** — Help menu options

Hello! We have a patch release with fixes for the most frequent issues since release especially related to plugins not working.
How to open Photoshop plugin:
- Open Photoshop
- Click on the File Menu > Automate > Topaz Gigapixel Studio
(You will not find Topaz Gigapixel in the Filters panel)
How to open Lightroom Classic plugin:
- Launch Lightroom Classic
- Right click on a selected image and choose Edit In > Topaz Gigapixel (Studio)
- Customize What To Edit and Copy File Options. Then click Edit.
(The file will not open if an option for PSD is selected)
- Immediately, Gigapixel’s user interface launches.
- To save your enhancement, click the button “Export to Adobe Lightroom Classic”
For any issues, make sure to send us an email to support@topazlabs.com
Thank you so much for your patience as we continue working on more fixes and feature updates, stay tuned!
Esther H.
Associate Product Manager
Topaz Gigapixel v1.0.2
Mac: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.0.2/TopazGigapixel-1.0.2.pkg)
Windows: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.0.2/TopazGigapixel-1.0.2.msi)
Windows ARM: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.0.2/TopazGigapixel-arm64-1.0.2.msi)
Released September 24, 2025
Changelog:
- Fixed Photoshop plugin
- Fixed login dialog always showing success on startup
- Fixed cloud download paths being incorrectly handled in some cases
- Updated help menu options
198 posts - 28 participants
[Read full topic](https://community.topazlabs.com/t/topaz-gigapixel-v1-0-2/96373)

### v1.0.0 — Topaz Gigapixel v1.0.0 - v1.0.1

- Date: 2025-09-17
- Version: v1.0.0
- Original notes: https://community.topazlabs.com/t/topaz-gigapixel-v1-0-0-v1-0-1/95528
- Permalink: https://whatsnew.fyi/product/topaz-gigapixel/releases/v1.0.0
- Labels: Platforms: Windows, macOS

Hello! ** Topaz Gigapixel Official Release ** Founders and fellow upscalers - today we’re thrilled to announce a brand-new Topaz Gigapixel Studio release that brings some of our most exciting features…

- **added** — Standard Max AI model delivers faster and cleaner upscaling with lower hardware requirements
- **added** — Wonder model produces balanced, natural images with fewer artifacts and improved background integrity, available locally for PRO/Founder users
- **added** — Unlimited image cloud rendering for generative models with no cloud credit costs
- **added** — Single Sign-On (SSO) login using Google account
- **added** — Save Redefine prompt in EXIF data of exported files
- **added** — Updated crop tool with intuitive and precise controls
- **changed** — Cloud rendering now has a 100-image batch queue limit across all apps

Hello!
** Topaz Gigapixel Official Release **
Founders and fellow upscalers - today we’re thrilled to announce a brand-new Topaz Gigapixel Studio release that brings some of our most exciting features to date. We know many of you are adjusting to the new subscription model, and our goal with this update is to make Topaz Gigapixel more valuable and accessible than ever — so you can spend less time worrying about limitations and more time creating.
Here’s a quick preview of what’s in this release:
-
Standard Max – Next-Gen Upscaling, Lower Requirements
Our newest AI model that delivers faster, cleaner upscaling with lower hardware demands, making professional-quality results possible even on less powerful machines.
-
Wonder Model – Natural Enhancements
The new Wonder model produces balanced, natural images with fewer artifacts and improved background integrity. This model is available locally for PRO/Founder users.
-
Unlimited Image Cloud Rendering
We’ve eliminated cloud credit costs for image apps — you can now render as much as you want in the cloud. This is perfect for exploring models without worrying about local system requirements. To keep the experience smooth for everyone, we’ve added a 100-image batch queue limit across all apps.
-
Streamlined Login with Single Sign-On (SSO)
Log in faster using your Google account — no extra account setup needed.
-
Save Your Redefine Prompt in EXIF Data
Your creative guidance is now automatically saved in the exported file’s metadata, so you can revisit or share your exact workflow later.
-
Updated Crop Tool
The redesigned crop tool brings the intuitive, precise controls from Topaz Photo into Topaz Gigapixel, letting you frame your images perfectly before upscaling.
But wait - You might have some questions regarding [Topaz Gigapixel Studio. Please click this link to learn more.](https://community.topazlabs.com/t/topaz-studio/95562)
Note: We are working to formally support Mac OS 26 (Tahoe) which was just released. Support will come to both Topaz Gigapixel (Studio) as well as the legacy Gigapixel AI app.
This release is intended to give you more freedom, faster results, and an overall smoother experience. We hope you’ll join us in this new chapter of Topaz Gigapixel!
Esther H.
Associate Product Manager
Please use the v1.0.1 links as they include several fixes related to the pay modal and small minor fixes within the app. You can see more descriptions to these fixes for v1.0.1 under the Changelog.
v1.0.1
Mac: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.0.1/TopazGigapixel-1.0.1.pkg)
Windows: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.0.1/TopazGigapixel-1.0.1.msi)
Windows ARM: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.0.1/TopazGigapixel-arm64-1.0.1.msi)
Released September 18, 2025
–
v1.0.0
Mac: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.0.0/TopazGigapixel-1.0.0.pkg)
Windows: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.0.0/TopazGigapixel-1.0.0.msi)
Windows ARM: [[Download]](https://downloads.topazlabs.com/deploy/TopazGigapixel/1.0.0/TopazGigapixel-arm64-1.0.0.msi)
Released September 16, 2025
Introducing the New Standard Max Upscaling Model
Standard Max is an AI model development built on new architecture. It delivers upscaling results with lower hardware requirements and faster processing — making high-end enhancement more accessible than ever.
Standard Max produces improved enhancements for details - generating fine, realistic textures that help bring your photos back to life.
Standard Max is designed to run smoothly on a wider range of devices, so you can get professional-level results without the heavy processing demands of previous generative models. Try it out and experience faster, more powerful upscaling with refined detail and beautiful outputs.
How to use Standard Max:
- Locate Standard Max under the “Generative models” section
- Click on Standard Max and

_[Truncated at 4000 characters — full notes: https://community.topazlabs.com/t/topaz-gigapixel-v1-0-0-v1-0-1/95528]_

### About the Releases category

- Date: 2025-09-15
- Original notes: https://community.topazlabs.com/t/about-the-releases-category/95518
- Permalink: https://whatsnew.fyi/product/topaz-gigapixel/releases/2025-09-15-about-the-releases-category
- Labels: Platforms: Windows, macOS

All Topaz Gigapixel release notes will be posted in this section of the forum. 1 post - 2 participants Read full topic

All Topaz Gigapixel release notes will be posted in this section of the forum.
1 post - 2 participants
[Read full topic](https://community.topazlabs.com/t/about-the-releases-category/95518)