Topaz Gigapixel for Windows is a professional AI-powered image upscaling and enhancement application designed for photographers, graphic designers, digital artists, print professionals, archivists, and content creators. It uses specialized AI models to enlarge photographs, artwork, graphics, and other raster images by up to 6× while reconstructing detail and preserving clarity. Topaz Labs Docs

The software is designed for recovering useful detail from small, low-resolution, soft, or compressed images. It provides AI-based enhancement models for different image types and processing requirements, including core models for general upscaling and generative models for more demanding small-image enhancement. Topaz Labs Docs

Topaz Gigapixel can operate as a standalone Windows application or supported plugin, making it suitable for both individual image processing and professional post-production workflows. It also supports batch-oriented workflows and requires an internet connection for installation, activation, updates, and cloud rendering. Topaz Labs Docs

The current Windows version supports Intel and AMD processors with AVX, dedicated NVIDIA, AMD, and supported Intel graphics, as well as Windows ARM/Snapdragon systems with some limitations. Generative AI models require substantially more graphics memory than the core models, with 8GB VRAM recommended for local generative processing. Topaz Labs Docs

Key Features

• AI-powered image upscaling
• Enlargement up to 6×
• AI detail and texture reconstruction
• Enhancement of low-resolution photographs
• Restoration of compressed and degraded images
• Core AI enhancement models
• Generative AI enhancement models
• Standard Max model
• Advanced image-detail reconstruction
• Noise and compression artifact reduction
• Face enhancement and recovery
• Batch image processing
• Standalone Windows application
• Supported plugin workflows
• Local GPU-based AI processing
• Cloud rendering for supported workflows
• NVIDIA, AMD and supported Intel GPU compatibility
• Intel and AMD CPU support with AVX
• Windows ARM/Snapdragon support with limitations
• Suitable for large-format printing
• Photo restoration and archival enhancement
• Artwork and illustration enlargement
• Graphics and digital-content enhancement Topaz Labs Docs

What’s New

• Current Topaz Gigapixel generation provides both Core and Generative AI enhancement models.
• Generative models are designed for more advanced enhancement of small or challenging images.
• Generative models require 8GB VRAM with NVIDIA or AMD GPUs for local processing, while Standard Max can operate with 6GB VRAM.
• Windows ARM/Snapdragon systems are supported, although generative models require 24GB+ system RAM and some models have limitations.
• Topaz continues to update AI models and compatibility independently from the legacy Gigapixel AI product line. Topaz Labs Docs

Professional Applications

• Professional photography
• Large-format photo printing
• Photo restoration
• Archival image enhancement
• Commercial photography
• Product photography
• Real-estate photography
• Wildlife and nature photography
• Artwork and illustration enlargement
• Graphic-design workflows
• E-commerce imagery
• Advertising and marketing graphics
• Digital publishing
• Social-media content production
• Low-resolution image enhancement

System Requirements

Minimum Requirements

• OS: Windows 10 latest version or Windows 11
• CPU: Intel or AMD processor with AVX instructions, released after 2016
• RAM: 16GB
• GPU: NVIDIA, AMD, or supported Intel graphics
• Dedicated GPU: 6GB VRAM minimum
• Integrated GPU: Intel UHD 600 or Intel Iris Xe supported
• Storage: 55GB available on the C: drive
• Large upscales: 24GB RAM or more may be required
• Generative AI: 8GB VRAM recommended/required for supported local generative models
• Internet: Required for installation, activation, updates and cloud rendering Topaz Labs Docs

Recommended Requirements

• OS: Windows 11 latest version
• CPU: Intel or AMD processor with AVX, released after 2020
• RAM: 24GB or more
• GPU: NVIDIA RTX 20-series or newer
• AMD GPU: Radeon 5000-series or newer
• VRAM: 8GB or more
• Storage: 55GB available on the C: drive
• NVIDIA driver: Studio driver recommended when available
• Professional workload: Fast SSD and additional storage recommended for large image libraries