# Topaz Photo v1.5.0-1.5.1 — Topaz Photo v1.5.0-1.5.1 - High Fidelity v3, Wonder 3, Denoise Max, Super Focus v3

- Product: Topaz Photo (https://whatsnew.fyi/product/topaz-photo)
- Vendor: Topaz Labs
- Date: 2026-04-26
- Version: v1.5.0-1.5.1
- Original notes: https://community.topazlabs.com/t/topaz-photo-v1-5-0-1-5-1-high-fidelity-v3-wonder-3-denoise-max-super-focus-v3/102274
- Permalink: https://whatsnew.fyi/product/topaz-photo/releases/v1.5.0-1.5.1
- Labels: Platforms: Windows, macOS

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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'.

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Hello everyone! Here is v1.5.1, a hotfix for issues reported in the previous release. v1.5.1 Released April 27th, 2026 Windows : Download Snapdragon : Download Apple Silicon Mac : Download Intel Mac :…

- **added** — High Fidelity v3 model with two-part architecture for enhanced detail and reduced AI artifacts
- **added** — Wonder 3 model with improved recovery for low detail, blurry, and soft focus images
- **added** — Denoise Max model for generative denoising in extreme noise conditions
- **added** — Super Focus v3 model for natural results on extremely blurred images
- **changed** — Improvement to Wonder 3 local quality
- **changed** — Improvement to Denoise Max local quality
- **changed** — Improvement to Super Focus v3 local quality
- **fixed** — Super Focus v2 failing due to a missing file on Windows
- **fixed** — Wonder 2 failing to run locally on Windows
- **fixed** — Wonder 3 cloud render failing due to an invalid upscale factor
- **fixed** — Wonder 3 on Windows always processing at the same strength regardless of the setting
- **fixed** — Denoise Max throwing an error on Windows due to a log file access issue
- **fixed** — Image analysis stalling on Windows ARM devices
- **fixed** — Image analysis failing on Intel Xeon, AMD Threadripper, and similar CPUs
- **fixed** — AI models not being downloaded during Wonder 3 installation on Windows
- **fixed** — Installer getting stuck when extracting Wonder 2 model files
- **fixed** — Mac x86 installer option for Apple Silicon devices to prevent incorrect installations

Hello everyone!
Here is v1.5.1, a hotfix for issues reported in the previous release.
v1.5.1
Released April 27th, 2026
Windows: [Download](https://downloads.topazlabs.com/deploy/TopazPhoto/1.5.1/TopazPhoto-1.5.1.msi)
Snapdragon: [Download](https://downloads.topazlabs.com/deploy/TopazPhoto/1.5.1/TopazPhoto-arm64-1.5.1.msi)
Apple Silicon Mac: [Download](https://downloads.topazlabs.com/deploy/TopazPhoto/1.5.1/TopazPhoto-1.5.1-arm64.pkg)
Intel Mac: [Download](https://downloads.topazlabs.com/deploy/TopazPhoto/1.5.1/TopazPhoto-1.5.1-x86_64.pkg)
Known Issues
- Black padding on cloud renders with Wonder 3 when a decimal scale is used. Will be fixed on cloud without requiring update.
- Super Focus v3 not running on Win ARM. Support will be added later.
Changelog
- Improvement to Wonder 3 local quality
- Improvement to Denoise Max local quality
- Improvement to Super Focus v3 local quality
- Fix for Super Focus v2 failing due to a missing file on Windows
- Fix for Wonder 2 failing to run locally on Windows
- Fix for Wonder 3 cloud render failing due to an invalid upscale factor
- Fix for Wonder 3 on Windows always processing at the same strength regardless of the setting
- Fix for Denoise Max throwing an error on Windows due to a log file access issue
- Fix for image analysis stalling on Windows ARM devices
- Fix for image analysis failing on Intel Xeon, AMD Threadripper, and similar CPUs
- Fix for AI models not being downloaded during Wonder 3 installation on Windows
- Fix for the installer getting stuck when extracting Wonder 2 model files
- Disabled the Mac x86 installer option for Apple Silicon devices to prevent incorrect installations
Hello everyone!
A new release for Topaz Photo, with 4 new models that we are very excited for. Each is an improvement on our core functionality: denoise, sharpen, upscaling, and recovery. Three of these models also run on our Neuroserver technology which allows NVIDIA, AMD, and Apple Silicon devices to run large models locally.
- High Fidelity v3 — Better Detail, Fewer Artifacts
- Wonder 3 — Smarter Recovery Across More Images
- Denoise Max — Generative Denoising for Extreme Noise
- Super Focus v3 — Natural Results for Extreme Blur
You can find the installer links and the full changelog below for this version of Topaz Photo. For any issues, make sure to send us an email to support@topazlabs.com
v1.5.0
Released April 25th, 2026
Windows: [Download](https://downloads.topazlabs.com/deploy/TopazPhoto/1.5.0/TopazPhoto-1.5.0.msi)
Snapdragon: [Download](https://downloads.topazlabs.com/deploy/TopazPhoto/1.5.0/TopazPhoto-arm64-1.5.0.msi)
Apple Silicon Mac: [Download](https://downloads.topazlabs.com/deploy/TopazPhoto/1.5.0/TopazPhoto-1.5.0-arm64.pkg)
Intel Mac: [Download](https://downloads.topazlabs.com/deploy/TopazPhoto/1.5.0/TopazPhoto-1.5.0-x86_64.pkg)
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. v3 raises the bar on all of these, and fixes the cases where v2 fell short.
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 h

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