![]() I have not got any version of this program to work on either machine after version 2. I have two 8 core machines - 1 AMD, 1 Intel. Internally, we’ve parallelized the processing pipeline to improve hardware efficiency. The exact speedup depends on your hardware, video, and AI models used, but internal testing has recorded a consistent +50-100% performance improvement on most configurations. You can expect significantly faster exports and previews from Topaz Video AI v3.1. Trained on thousands of videos and combining information from multiple input video frames, Topaz Video Enhance AI enlarges your video up to 8K resolution with true details and motion consistency. To use them open the terminal from inside the app and run the script. Beautiful video enlargements using machine learning. Noise and Grain settings are same as v2.6Īll filters and environment variables have been renamed to t… Update (December 2023): Video AI version 4.0.7 now includes a graphical model manager Access with File Model Manager Hello Everyone, Here are the scripts for anyone wanting to download all models for offline usage. However, this approach is quicker and more automated.We have a new release of Topaz Video AI with significant performance improvements and a new AI model.Ĭhronos, Chronos Fast, and Full Frame Stabilization uses TensorRT models on NVIDIA machines This is very similar to running the performance benchmark in each resolution, as most models will be downloaded. Here is an example of the TVAI ffmpeg command.įfmpeg -f lavfi -i -vf -f null.
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