Minus 0.8 points for high RAM consumption and the lack of a Linux build.
Unlike standard photo editors like Photoshop, which use interpolation methods (such as Bicubic or Bilinear sampling) to stretch an image, Topaz Gigapixel AI utilizes deep learning. The software has been trained on millions of high-resolution images. It understands what details—such as feathers, fur, skin texture, and foliage— should look like.
Let’s cut through the marketing jargon. Here is the actual changelog of features you will use daily. topaz gigapixel ai latest version
: The latest engine identifies faces with higher precision, ensuring eyes and skin textures look natural rather than "plastic" after upscaling.
Topaz Gigapixel - Super-size & Upscale Image & Photo Resolution Minus 0
If you are running an NVIDIA RTX graphics card (30-series or 40-series), the software now leverages Tensor Cores more efficiently. Users are reporting processing times that are up to 50% faster compared to the previous major version.
The previous version often made faces look like oil paintings. The latest version uses a dedicated specifically for facial structures. It understands what details—such as feathers, fur, skin
: A diffusion-based creative upscaler that uses generative AI to fill in missing details. It includes a "Creativity" slider and supports text prompts to guide the AI's reconstruction.