Extremely demanding on system hardware, resulting in slow render times on budget computers.
: Features a layout for side-by-side comparisons of different AI models against the original footage, allowing for easier visual evaluation. Technical Capabilities Resolution Upscaling
The strength of Topaz Video Enhance AI 2.3.0 lies in its specialized neural networks. Selecting the right model for your specific source material is critical to achieving realistic results. Artemis (High-Quality Progressive Footage)
Saves custom model combinations, output formats, and scale factors for batch processing. System Requirements
: High-resolution upscaling (like 1080p to 4K) typically requires at least 6GB–8GB of VRAM for stable performance. 2. Core AI Models in v2.3.0 topaz video enhance ai 2.3.0
For old , choose Dione TV or Artemis LQ .
The 2.3.0 build stands out for adding surgical user control over a process that used to be fully automated.
Best for clean input video (like 1080p DSLR footage) that needs upscaling to 4K.
To get the best results from your upscaling project, follow this optimized workflow: Extremely demanding on system hardware, resulting in slow
Test System: Intel i7-12700K, 32GB RAM, NVIDIA RTX 4070 Ti (12GB)
It belongs to an era before strict online verification changes.
To run Topaz Video Enhance AI 2.3.0 effectively, your machine needs to meet these official technical specifications : Minimum Requirement Recommended Specification Windows 10 or 11 Windows 11 (most updated) OS (Mac) macOS 10.14 (Mojave) macOS 10.15 (Catalina) or newer RAM 32 GB or more GPU NVIDIA GT 740 / AMD Radeon 5870 NVIDIA RTX 3000 series / AMD Radeon RX 5000 VRAM 8 GB or more
Older versions relied heavily on fixed models like Artemis or Gaia. Proteus changed this by introducing six manual sliders: Selecting the right model for your specific source
Simultaneously deinterlaces and upscales footage while preserving motion smoothness.
Low-quality web video can occasionally take on an unnatural, overly smoothed "plastic" appearance.
One of the biggest complaints about earlier versions was poor handling of high-bitrate, log, or HDR footage. Colors would clip, highlights would blow out, and banding was common.