2.3.0 - Topaz Video Enhance Ai

Version 2.3.0 relied on several core AI models that users could select based on their source footage:

For computer-generated imagery (CGI) or high-quality footage that simply needed to be larger, Gaia-HQ was the model of choice. In 2.3.0, Gaia saw optimizations for processing speed. It excelled at upscaling cartoons, anime, and 3D animation because it could preserve the hard edges of lines, avoiding the smudging that Artemis might sometimes apply to smooth out live-action noise.

Version 2.3.0 shipped with several AI models, each optimized for different source types: topaz video enhance ai 2.3.0

| Model | Best For | Output Scaling | Speed | |-------|----------|----------------|-------| | Gaia | High-quality sources (Blu-ray, DSLR) | 2x–6x | Slow | | Artemis | Compressed web video (YouTube, Twitch) | 2x–4x | Medium | | Theia | Detail reconstruction from low-res | 2x–4x (fine-tuned) | Medium | | Dione | Facial recovery (videos with people) | 2x–4x | Medium | | Proteus | Fully customizable (manual tuning) | 1x–6x | Medium–Slow |

Note: Models like Iris (for interlacing) were present but later renamed/merged in v3.0. Version 2

Topaz Video Enhance AI is not just for upscaling; it is also used for frame interpolation (creating slow motion).

A feature that became indispensable in this version was the Comparison View. Upscaling is subjective; one model might fix noise but soften details, while another might sharpen details but amplify artifacts. Note: Models like Iris (for interlacing) were present

Version 2.3.0 allowed users to load a single clip and split the preview into four quadrants, applying a different AI model to each. By scrubbing through the timeline, a user could instantly see that, for example, Artemis Deblock was better for a specific DVD source than Gaia-CGI. This reduced the trial-and-error time significantly, saving users from wasting hours processing a video only to realize they chose the wrong model.

Given that Topaz has released v4.x and v5.x (as of 2026), v2.3.0 is obsolete for most users. However, it remains relevant for: