Frequently Asked Questions for Topaz Video AI
- What is the difference between Video Enhance AI (VEAI) & Topaz Video AI?
- What is the minimum hardware requirement for Topaz Video AI?
- How do I get Topaz Video AI?
- Can I use Topaz Video AI Early Access if I own Video Enhance AI?
- Can I chain or use more than one model at the same time?
- When will it release and what will the price be?
- Do you have instructions on how to use Command Line Interface (CLI) in Topaz Video AI?
- Can I build my own FFmpeg with additional features plus your AI filters and models?
What is the difference between Video Enhance AI (VEAI) & Topaz Video AI?
After using Video Enhance AI (VEAI) for a few months, going through its code base, the list of issues, the feature requests, it has become clear that Topaz Video Enhance AI has to change significantly to evolve into a product loved by all users, beginners and experts.
Most of the problems in VEAI stem from the fact that it treats video as a series of constant rate images. All the current models run on these assumptions and as a result have issues processing variable frame rate videos, frame repeats, scene changes etc. This also hampers development of future models like stabilization, scene detection etc. that require multiple passes over the video. To address these concerns and allow seamless additions of new features, we have decided to rewrite VEAI as a new application with a whole different architecture and way of doing things.
Topaz Video AI will consist of two independent parts: the GUI and the backend FFmpeg filters. The GUI will merely call the FFmpeg backend and spawn separate processes. Topaz Video AI v3 will also introduce a Stabilization model that will allow users to stabilize their videos and keep the original resolution.
Ideally this approach would allow us to focus on our core expertise to create and improve our models to perform better on all user videos. Eventually, Topaz Video AI will have all the features needed to fully take over the function of Video Enhance AI. At that point, it may fully replace Video Enhance AI.
You can read more about the changes and what's more coming into Topaz Video AI on our Forum.
What is the minimum hardware requirement for Topaz Video AI?
A DirectX12 compatible GPU (NVidia or AMD). An Intel CPU from 2015 onwards or an AMD CPU from 2016 onwards are our minimum requirements for the CPU.
Mac minimum requirements: 8GB or more RAM, 2GB of VRAM. MacOS 10.14 (Mojave) or 10.15 (Catalina) to run on CPU only. MacOS 10.16 (Big Sur) or newer to have all models run on GPU. This gives the best performance. Our apps support M1 processors natively.
How do I get Topaz Video AI?
Any user who currently owns an active upgrade license for Video Enhance AI will also have access to Topaz Video AI.
Can I use Topaz Video AI Early Access if I own Video Enhance AI?
Topaz Video AI Early Access is available to customers who own Video Enhance AI with an active upgrade license.
You can download the Early-Access version of Topaz Video AI from our Forum.
If your Video Enhance AI upgrade license is expired, you can get an upgrade extension and be able to use Topaz Video AI Early Access.
Can I chain or use more than one model at the same time?
Yes! You can use more than one model in same processing in Topaz Video AI.
When will it release and what will the price be?
Topaz Video AI is currently in early access, which is a step towards a full launch.
Until the official release this year, we will continue to improve Topaz Video AI without setting a determined release date or price.
Do you have instructions on how to use Command Line Interface (CLI) in Topaz Video AI?
Yes, you can access our Command Line Interface (CLI) documentation by clicking here.
Can I build my own FFmpeg with additional features and your AI filters & models?
Yes, you can download redistributable files to build your own FFmpeg with additional features + our AI filters and models. These files are intended to allow advanced users to build FFmpeg with additional features + our AI filters. For most use-cases, the regular installation package will suffice.
You can download the most recent redistributables from our Forum.