Use the Upscale Mode to upscale your image.

There are two methods to resize your image.

 - upscale your image by a multiplier of up to 6x

- upscale your image by inputting a custom width or height

In the "Scale factor" box, type in your multiplier

The dimensions of your image automatically adjust after you set the scale. Custom scales can be specified by up to 2 decimal points.

The default PPI is 300ppi. You can change this in your Preferences panel.

 scale to enhance your image without upscaling

Upscale 

AI Models are the program filters Topaz Labs has created to determine how to adjust or enhance your images, graphics, digital scans, or artwork.

Basic AI Models

Generative Models

Legacy Models

Explore each section to find the one that's best for your images. 

AI Models

Use "Settings" to customize your enhancements 

 - reduces compression artifacts to improve details. This setting is enabled only when “Standard” and “High Fidelity” models are used. (Note: Fix Compression values are not visible in the list)

These options have a sliding degree of intensity. You can input a custom value from a scale of 1 to 100.

Settings

Utilize Face Recovery to improve images where facial attributes could be enhanced. Low resolution, blurry, and unclear details of human faces are best used for this feature.

 detects and recover human faces. It works best on blurry, low resolution, or artifacted faces, but may remove detail from high-quality faces.

 - detects high and low confidence faces to enhance

When enabled, the AI scans across the entire image searching for the eyes, nose, and a mouth of a human face.

It determines the number of faces recognized and categorizes these faces between two types: 

 faces follow a pattern of being the subject in focus of an image and distinguish clear details of the eyes, nose, and mouth.

 faces are determined by their lack of detail like blurriness or out of focus which is usually found in group settings or subjects where the head is turned away.

The Face Recovery model does not use Generative Al or diffusion models. They are trained from digital images from digital cameras. Certain types of images are not always easily recognized such as old scanned photographs.

In Additional Settings, click the toggle switch to activate the feature.

In the Preview, the image shows boxes around faces that the AI has detected. Click on the desired boxes that need enhancement.

A blue colored box indicates High Confidence.

A gray rectangle indicates Low Confidence.

Click on the Low Confidence face if you wish to include it in the Face Recovery enhancement. You can also click on High Confidence faces if you do 

After faces have been selected, Click on 

After the AI Model finishes enhancing, adjust 

 by sliding the bar to improve the face. The AI defaults a numbered value of enhancement quality. Fine tune the results by moving the slider bar to increase/decrease the intensity of the enhancement. Skin can appear smoother or clearer depending on the strength.

Animal faces are not detected in Face Recovery.

Released as a beta in v7.4.0, this AI model now adds another layer of enhancement possibilities that v1 did not offer before. 

Our models are designed to preserve the original image but since Face Recovery is specifically designed to reconstruct damaged face images, the Face Recovery model will sometimes change expressions slightly or may smooth skin, hair, or small facial details.

This version not only improves upon v1 but offers two modes: 

 mode closely mirrors the original Face Recovery model but with improved quality overall. For scenarios with very low resolution or tiny faces, 

 mode generates additional details that might be missing from the original image, producing high-quality results even from very low-resolution inputs. It’s incredible what can be achieved with just a few pixels. Note that the Creative mode does not use a diffusion-based generative model, so if you prefer traditional machine-learning models, Gen2 Face Recovery is still a great option.

Check out these two modes in action here.

The example below showcases the difference between V1 & V2 realistic and creative. Notice that certain facial features are altered differently in Creative mode. 

Set Face Recovery strength to 80 when using the models, as this blends well with the original image to preserve more faithful detail.

Images that are most optimized with this model are:

Face recovery & selection

 processes the image in a higher gamma color space. For images with highly saturated colors, this can enhance AI outputs with more details and less color bleed.

Gamma Correction is also best used for very dark, low light images with lots of noise. 

Use the toggle switch in the right panel to enable. 

Gamma correction

Functions

User Guide

Summary of all available Filters within Topaz Gigapixel. These features are enhancements created to support the use of upscaling for the best output possible.

Filters Panel

Upscale

AI Models

Settings

Face recovery

Gamma Correction