Powerful generative model which can repair, reconstruct, and enhance your images.
Create amazing 2D image assets with Generative Enhance on Layer
The complete content creation platform for modern game teams. From concepting to polished in-game assets - across 2D, 3D, Video, and Audio.
Why use Generative Enhance for 2D image?
Intelligent detail reconstruction for low quality or incomplete assets
Generative Enhance by Topaz goes beyond simple upscaling by synthesizing missing detail and restoring structure. It rebuilds elements that are soft, low resolution, or partially lost, producing cleaner and more natural looking images suitable for production.
Advanced texture and material recovery for game assets
The model recreates believable textures, surface details, and materials ( fabric, metal, skin, foliage ) without introducing harsh artifacts. This makes Generative Enhance ideal for restoring older character art, item icons, or environment textures that need modern polish.
Perfect for repairing assets used in UA, LiveOps, and storefronts
Generative Enhance can fix damaged areas, fill in missing detail, and strengthen focal clarity for promotional frames. It is especially useful for rescuing assets that would otherwise be too low quality for high visibility placements.
Restoring and reconstructing legacy art for modern pipelines
Take low resolution or partially degraded images and rebuild lost detail with natural results. Generative Enhance is perfect for resurfacing archived concept art, older LiveOps content, or assets inherited from previous production cycles.
Repairing UA creatives and improving promotional shots
Fix blurry regions, reconstruct edges, enhance faces, or restore item clarity to make UA frames more readable. Generative Enhance helps teams salvage underexposed, soft, or artifact heavy creatives without needing a new generation.
Enhancing items, icons, and environment textures with believable detail
Reconstruct texture detail on small scale visuals ( weapon icons, consumables, ability art, environment tiles ). The model keeps shapes consistent while rebuilding missing material information, making it strong for high density mobile screens.
