Topaz Gigapixel

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 Snapdragon: Download Apple Silicon Mac: Download Intel Mac: Download 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

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: [Download] 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

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 Snapdragon: Download Apple Silicon Mac: Download Intel Mac: Download v1.3.2 Released June 17th, 2026 Windows: Download Snapdragon: Download Apple Silicon Mac: Download Intel Mac: Download 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

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 Snapdragon: Download Apple Silicon Mac: Download Intel Mac: Download 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 various stability issues from race conditions and memory handling
• Add color correction to High Fidelity 3 to prevent color shift Lingyu Kong Technical Product Manager Image AI 24 posts - 14 participants Read full topic

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 Snapdragon: Download Apple Silicon Mac: Download Intel Mac: Download 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 GPU memory error with 8GB VRAM. Will have a fix in next patch. Changelog
• Add Face Recovery v3 through Neuroserver for NVIDIA, AMD, and Apple Silicon devices
• Update NeuroServer to speed up Wonder 3 and Face Recovery v3
• Fix crash with face parse model in image analysis
• Fix Recover v3 grey output on Windows devices with foreign locales Lingyu Kong Technical Product Manager Image AI 104 posts - 27 participants Read full topic

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 Snapdragon: Download Apple Silicon Mac: Download Intel Mac: Download 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 as many images as you want directly on your device. No upload times, just Wonder 2 running locally. Wonder 3 — Smarter Recovery Across More Images Wonder 2 set a high bar for general enhancement, but it was not yet at the level we were hoping for recovery. Low detail images, whether blurry, soft focus, or false resolution, saw limited improvements after processing, hitting the limits of what Wonder 2 could handle. Where Wonder 1 may have over-processed images and made them look artificial, it felt like Wonder 2 was not doing enough to improve images. It fell short, so we continued improving it to build the next version. We tested Wonder 3 and quickly found it to be an extremely capable model. It handles images of all sizes and quality. The low quality images that Wonder 2 did not improve enough were easily recovered with Wonder 3, with an emphasis on realism. The new model produces high quality details that previous Wonder models struggled with. Wonder 3 handles difficult false resolution cases extremely well with no extra controls needed. You get better results on a wider range of images without having to intervene. On this portrait, the skin and hair textures are photorealistic. Usually, AI models create smooth skin and hair with repetitive structure. Here, the hair seems to weave naturally around itself and fall down as expected. The skin textures are also imperfect as you would expect. Here’s another example with wildlife imagery. The eyes and feathers where we focus our attention is sharp. The feathers have a blend of softness and detail for a convincing result. The model has two controls. Scale sets your target output size. Enhancement strength controls how generative the model is, giving you more powerful recovery when the image calls for it. Strength is paired with our image detail auto detection: when a low detail image is detected, strength is set automatically to produce the best result. For most images you won’t need to touch it. 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. We want to hear how it performs on your images, especially at 1x and 2x and on images that have given Wonder 2 trouble in the past. Drop your results and feedback in this thread. High Fidelity v3 — Better Detail, Fewer Artifacts High Fidelity is designed for images that are already in good shape. Where other models focus on recovery, High Fidelity’s job is to enhance what’s already there: sharper detail, cleaner textures, and upscaled output that holds up at full resolution. We found that v2 had shortcomings with high quality images: removing details (like noise) in the original image that we may want to keep, creating repeating patterns instead of natural textures, and sharpening important details. The top image is from v2, and you can see it tried to denoise the image when it should not have, leaving the sky smooth but the flag noisy. The details on the flag are slightly blurry. The output from v3 treats the noise as an important part of the image, keeping it consistent. It also sharpens the details on the flag for cleaner lines and stars in better focus. The core change in v3 is a two-part architecture. Before upscaling begins, an analysis model reads the image, both as a whole and at the block level, to build a detailed understanding of its content. The upscaling model then uses that context to produce output that stays true to the original while generating realistic detail even at larger upscale values. Earlier models would struggle here, as small structures get magnified significantly and realistic detail becomes much harder to maintain. This approach also meaningfully reduces AI artifacts. Two areas we’re especially happy with: natural scenes and skin. Leaves, grass, and similar patterns used to come out repetitive and visibly generated. v3 produces realistic variation. Skin textures, which previously came out either too smooth or too harsh, now retain their natural softness. Beyond artifact reduction, v3 is better at preserving and enhancing textures that are already present in the image. Rather than softening fine detail during upscaling, it sharpens it further, producing a crispness that previous High Fidelity models couldn’t match. High Fidelity v3 is best suited for images that are already high resolution and clearly detailed. Raw files and images above 6MP are ideal candidates. If the source image has strong existing detail, v3 will enhance it further rather than approximate it. For lower resolution or lower quality images, Wonder 3 is the better starting point. To use the new model, select the High Fidelity model then pick v3 from the dropdown. We want to hear how it performs on your images, especially on subjects where v2 produced repetitive textures or visible artifacts. Drop your results and feedback in this thread. Known Issues
• High fidelity v3 default strength is set too high for first run. Please reduce the strength to 50 as a starting point. Changelog
• Add NeuroServer for running large models locally on NVIDIA, AMD, and Apple SIlicon devices
• Add Wonder 2 local render through Neuroserver
• Add Wonder 3 local render through Neuroserver
• Add Wonder 3 cloud render
• Add Upscale - High Fidelity v3 model for local render
• Fixed Redefine creativity defaulting back to Low
• Fixed crop restricting max scale incorrectly
• Fixed shortcuts activating on the “Get help” dialog
• Mac installers are now split between x86_64 (Intel) vs arm64 (Apple silicon) Lingyu Kong Technical Product Manager Image AI 50 posts - 16 participants Read full topic

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] Mac: [Download] Snapdragon: [Download] 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

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] Mac: [Download] Snapdragon: [Download] 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

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] Mac: [Download] Snapdragon: [Download] Released on January 23, 2026 Topaz Gigapixel v1.1.0 Windows: [Download] Mac: [Download] Snapdragon: [Download] 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 Workflow Improvements In this release, we focused on workflow refinements and stability improvements for Cloud rendering—not a full overhaul. What’s new
• Cloud Queue access directly from the Import page
• Download All button for completed Cloud renders
• Improved error handling and status updates These changes are meant to reduce friction and make Cloud renders easier to manage, while we continue improving reliability behind the scenes. Download all - Access your downloads with one single button instead of manually downloading each image. The app will take any “Ready for download” status images and download them in the background. Changelog:
• Added Wonder 2 (Cloud only)
• Enabled Recover 3 local rendering on Windows
• Added "Download All” added to Cloud Queue
• Added Cloud Queue button to Import page
• Updated Image AI
• File List updated for generative models
• Updated error handling for TIFF files in Cloud Compare tool
• Fixed HEIC loading issues in some cases
• Fixed plugin dialog not appearing
• Fixed potential crashes in model downloader
• Fixed longest edge preferences not sticking
• Fixed Cloud queue naming and refresh issues
• Fixed cloud thumbnails in most cases
• Fixed cloud filenames being incorrect on upload
• Fixed cloud uploads not being deleted in some cases
• Fixed cloud errors displaying wrong model name<
• New Features dialog restored with updated slides
• Cloud rendering stability improvements
• Automatic Lensfun updates
• Prevented source file deletion in rare Cloud cases
• (v1.1.1) Fixed cloud uploads sometimes deleting files incorrectly
• (v1.1.1) Removed neural engine toggle on legacy models on Mac Known Issues:
• Recover 3 local rendering is not yet available on macOS**
• Face Recovery disabled for Wonder 2
• Recover 3 does not support Face Recovery on Cloud
• Tooltip not showing for Wonder 2 & Recover 3 when large images over 128 megapixels may fail to process in the cloud
• Tooltip not showing for Wonder when an unsupported scale (over 6×) may fail to process in the cloud 152 posts - 24 participants Read full topic

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] Mac: [Download] Snapdragon: [Download] Released December 16, 2025 _ Topaz Gigapixel v1.0.5 Windows: [Download] Mac: [Download] Snapdragon: [Download] Released December 9, 2025 _ Topaz Gigapixel v1.0.4 Windows: [Download] Mac: [Download] Snapdragon: [Download] Released November 18, 2025 – Topaz Gigapixel v1.0.3 Windows: [Download] Mac: [Download] Snapdragon: [Download] 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 option for both local and cloud
• Added ability to view truncated filename by hovering in file list
• Added new error dialog if app detects a plugin issue
• Reduced number of network calls for cloud updates
• Updated OpenImageIO to 3.1.6.2
• Updated Libraw to October release
• Updated OpenVINO
• Updated how model downloads are handled and displayed
• Fixed cloud dialog’s copy ID popup not disappearing when scrolling
• Fixed some tooltips missing in cloud queue
• Fixed cloud queue count indicator not being sized correctly
• Fixed model resetting when loading an image
• Fixed stall on startup
• Fixed a few performance regressions when loading large batches
• Fixed 16-bit thumbnails not loading correctly
• Fixed ARM installer giving incorrect error when run on x86
• Fixed corrupted output on generative models when input color profile is not invertible 91 posts - 31 participants Read full topic

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] Windows: [Download] Windows ARM: [Download] 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

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. 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] Windows: [Download] Windows ARM: [Download] Released September 18, 2025 – v1.0.0 Mac: [Download] Windows: [Download] Windows ARM: [Download] 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 preview the entire image
• Please note that the Preview controls do not work for this model and will show an “Error while processing” message.
• Run it locally or through the cloud Results too intense? Use the Strength slider. This model does not currently include additional model settings like Recover or Redefine with the exception for Face Recovery. Workflow tip: Try this model with animal and nature images. NEW! Advanced one click enhancement: The Wonder model Considered to be one of our more balanced enhancement outputs in our Generative model line-up, the Wonder model can improve small low quality images. The results are definitely worth the wait. There are less artifacts in the background compared to our other models. Wonder also maintains a better level of natural output quality without over sharpening. The model does not have the ability to address extreme motion blur. Check out the subtle difference in output where Wonder maintains the integrity of the background and does not add oversharpened artifacts on the right side of the image. You can access the Wonder model under the Generative models section in the right panel. Please note that this model is available locally for PRO/Founder users. The Wonder model has no additional enhancement parameters meaning you will not find any additional sliders under the Model settings. But we added the ability to turn on Face recovery in certain cases where the model cannot enhance a blurred face for example. From our testing, we’ve seen that Face Recovery is not needed because the model already outputs faces well. Workflow Tip: Use a 4x upscale with images with faces less than 1000px by 1000px for the best results. Unlimited Image Cloud Processing We’re introducing a new feature to make experimenting with generative models easier: no more cloud credit costs. This means you can explore models freely without needing high system requirements locally. This feature is currently available only for generative models. Please note that we’ve also set a batch queue limit of 100 images at a time (queued + processing) in the app. If you hit the limit of 100, you’ll be notified with the following message: There are no UI changes that are significant when running unlimited image cloud rendering. Unlike Gigapixel AI v8.4.3, costs of credits are no longer visible on the cloud render button. Nor will you see any credit count in your user profile. How to use Unlimited Cloud Processing:
• Run a Generative model
• Click the Cloud Render button
• Find your image in the Cloud render Queue
• Click on the Downloads folder icon to get the final image Streamlined Login with Single Sign-On (SSO) We’re excited to introduce a new Single Sign-On (SSO) option to make getting started with Topaz Gigapixel faster and simpler. You can log in using your existing Google account — no need to create an account from scratch. This new flow helps new, trial, and returning users access the app in fewer steps, with less hassle. Save your Text Prompt in Exif Data The Redefine feature in Topaz Gigapixel lets users guide AI upscaling with a custom text prompt. However, once exported, that creative input is currently lost — making it hard to reproduce, trace, or share the enhancement process. By embedding the user’s Redefine prompt directly into the exported image’s EXIF metadata, we ensure the creative guidance is preserved with the file. This improves traceability, supports collaboration, and gives you an easy way to archive and revisit your workflows. This setting is automatically enabled. But you can turn it off in Preferences > Settings > Privacy > Embed image settings Updated Crop Tool We’ve updated the Crop Tool in Topaz Gigapixel to match the improved design and functionality you know from Topaz Photo. This means a more intuitive, streamlined cropping experience with familiar controls, clear visual guides, and easy aspect ratio options — all helping you crop, straighten, or reframe your images with precision before upscaling. The improved workflow gives you more control over your final composition so your upscaled results look exactly how you envisioned. Support for Adobe Lightroom Classic Users running Lightroom classic plugin should note the name change. Use the steps below to make sure you are selecting the right one for your workflow. 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” Known Issues:
• Black outputs on ARM build when using Standard Max
• Photoshop plugin does not work Changelog:
• Updated Topaz Gigapixel logo and header
• Added Standard Max Model
• Added Wonder model
• Removed cloud credits
• Opened unlimited cloud rendering
• Single Sign-on support for Google
• Added Text prompt saved in Exif data
• Updated crop tool UI
• Enable One-Click Model Cache Clearing for Mac
• Improved Local Processing ETAs (excluding Wonder)
• Disabled Gigaprint tab
• Disabled Intel Mac support
• Added right click Copy + Paste options for Redefine prompt
• (v1.0.1) Fixed various product prices being incorrect
• (v1.0.1) Fixed unlimited cloud dialog’s close button not working
• (v1.0.1) Fixed issues with claiming and removing seats
• (v1.0.1) Fixed Help menu Release Notes url being incorrect 126 posts - 36 participants Read full topic