Topaz Labs, a leading AI upscaling software company, has released Gigapixel Pro. Available as a standalone application and plugin, it boosts image resolution by up to 600 percent and is claimed to be twice as fast as the standard version of Gigapixel. Users can also run the new AI upscaling tool from the command line. Let's take a closer look at Topaz Lab Gigapixel Pro!
What does Topaz Lab Gigapixel Pro offer?
Essentially, the new Pro version performs the same tasks as its predecessor, only faster, more accurately, and with several additional features. Gigapixel Pro can enlarge digital images (both photos and computer-generated visuals) of all types up to 6x, up to 32,000 pixels wide. Topaz Labs uses machine learning to preserve the sharpness of enlarged images while filling in missing details using artificial intelligence.
Features:
• Ability to enlarge an image up to 16x of the original.
• Multiple AI models (nine in total) for different image types: Standard, High Fidelity, Low Resolution, Text & Shapes, Art & CG, Recover, Redefine, Face Recovery, and more.
• New models, including "Wonder Model" and "Standard MAX," for higher-quality, more natural-looking detail recovery.
• Renders an unlimited number of images both locally and in the cloud.
• Works as a standalone application and as a Photoshop/Lightroom plugin.
• Lossless zoom capability: zoom in without losing detail, especially when zooming in on objects.
• Support for Face Recovery, which is especially important for portraits.
• True-to-Input Detail options: meaning enlargement while preserving the natural details, textures, and overall appearance of the original image.
• Suitable for professional use: photographers, designers, artists, and restoration of old or low-quality material.
System Requirements:
- Windows 10 or 11 (latest version recommended)
- Intel or AMD, with AVX instructions, released after 2013
- NVIDIA GTX 980 Ti | 6 GB VRAM
— Intel UHD Graphics 600 | 16 GB RAM
— Non-Standard Max generative models require 8 GB VRAM
— For larger scales, 24 GB of RAM or more is required