Upscale image resolution instead of just enlarging pixels.
Gigapixel AI helps you do a single thing very well: increase image resolution in a natural way. This is pretty hard to do. Most upscaling algorithms don’t know how to accurately fill in missing pixels, so you end up with blocky low-quality results.

To solve this problem, Gigapixel AI’s neural networks are continuously trained on a wide variety of sample images to understand how photorealistic detail looks. After learning from millions of images, our AI image upscaler can now believably increase resolution on a wide variety of different subjects (portraits, wildlife, landscapes, architecture, etc) and image types (DSLR, web/compressed, CG). The results are often magical. Give our intelligent image resolution enhancer a try!prove image quality.
Gigapixel AI can make your image appear like it was captured with a much higher-quality camera. It’s been trained on enough images of different types of subjects (like portraits, landscapes, architecture, and more) to know what photo detail should look like. This allows you to increase your photo’s resolution and quality very naturally with minimal artifacts.

Pixel count isn’t the only thing that affects image quality. Normally, if you start out with a low-quality image, you’ll just end up with a bigger low-quality image if you upscale it. Gigapixel AI upscale technology can instead create very believable and natural image detail that can often look amazing.

Download the original versions of these images and try our AI image upscaler for yourself. Enjoy! 

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.

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

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Filename: TopazGigapixel-1.1.0 vfxMed.rar

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