Cupscale and TVEAI are aimed at rather different audiences. Topaz VEAI very much wants to be an easy, one-click solution for improving videos. Unfortunately, the app cannot automagically determine which of models and settings would give the best results in your specific video. As a result, the end-user must experiment to discover which model(s) produce the best results. The application has a preview function thats quite useful for this.

It is sometimes possible to use AviSynth and/or VapourSynth to repair a non-viable video to the point that it can benefit from upscaling, but this must be evaluated on a case-by-case basis. It may take longer to repair a video than you care to spend. In some cases, the filter choices youd make to achieve a high-quality upscale are not the same as what youd choose if you were planning to watch the videosansupscaling. Topaz often creates more detailed output if additional noise and grain are injected into the video, as shown below:

As of this writing, neither AVCLabs nor DVDFab has built a video upscaler worth spending money on. If you decide to spend money on an upscaler after reading this article, Topaz Video Enhance AI Patched Version is the one to buy.

By accident, I tested each upscaling model on a series of 700+ videos, and I found on average x1.2-x1.3 upsampling with AviSynth/VapourSynth plus Topaz 2.6.4. It turns out that AviSynth/VapourSynth can do the job quite well, but the software program itself has two major drawbacks.

One of the first things you notice is that Topaz Video Enhance AI requires the use of more inputs that the video inputs of your NLE. Not a problem per se. However, if you are new to upscaling you may have a hard time figuring out how to do this correctly (if it isnt immediately obvious, its not). The most important thing to keep in mind is that inputs must be added in proper sequence, as shown in the screenshots below. You may need to experiment a little before you figure out that you need to add two and not one. Somethings you can see for yourself: The first screenshot shows AviSynth running on a video with only one video input. Second screenshot shows it running on the same video after the capture card was plugged in. The new video input wasnt added until after the AviSynth video preview was generated.

Cupscale does a better job of preserving detail than Topazs AI upscaling feature, but the application still seems to work better on bright sources like HDTV shows and movies rather than dark sources like the CC “Video” sample below. Another great feature is that it completely ignores the aspect ratio of the source video.

There is definitely a learning curve with Cupscale, but after playing with it a bit, I was able to start producing results equivalent to Topazs Enhance AI. Its default settings work reasonably well for most kinds of content.

The last Topaz Video Enhance AI update included a display option to allow for individual component adjustment from +/- 10 to +/- 50. I have found that the best approach is to enable both the highest and lowest settings first and then monitor how each adjustment affects the results. You can enable more adjustments as they become available through updates.

In summary, the only valid complaints I hear about Topaz AVI upscaling are about the relatively large amount of processing required for the application to function correctly. AVI upscaling is by no means the most difficult upscaling application, so if you find that you dont enjoy the results compared to another application, you might want to check out a free trial.

Unfortunately, Cupscales slower rendering speed and the relative inflexibility of its models means youll spend more time waiting for clips to render so you can check to see if the output is useful or not. Individual frames can be found in the frames-out subdirectory if you want to check mid-run output, but certain problems may not be visible until you see the clip in motion. Run enough video through enough models and youll develop a better sense of whether any given model will work for a piece of content eventually. The same learning process happens more quickly in Topaz VEAI.

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The best way to use Topaz Video Enhance AI is to use it to start you on the path to repairing a video that has failed to upscale well. It does more good than harm, and it never adds to the overall quality of a video.

The only way to get Topazs AI to do more than that is to run it on a single video by itself. This requires a bit more attention, but it can result in results that are better than anything possible using video effects alone. Many people put off running AI on a few videos in their collection because they do not want to interrupt the work they are doing. There are two reasons to keep working, though. First, each video’s progress will be recorded and applied to the original video. Second, the AI output will often be much more detailed than something that could be achieved with video effects alone. That extra detail will not always be appropriate for what you were doing when you recorded the video, however, and it may not be possible to get it back.

If you already have a quality video that is not playing well on your system, try running it through the [[Upgrading Videos|upgrade videos]] recipe to try to get it to work with the new Topaz Video Enhance AI. If it is still not playing, you may not be able to get it working, and we need to see your video in order to decide how much work to put into it.
If that is the case, how to proceed.

If your video plays just fine, you can add the recipe to your collection of recipes and use it for future videos. To get started, you will need a good quality video clip to work with. You can get that video clip right from your hard drive, or you can use Topazs Vidgear to gather it for you.

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• Minimum System Requirements:

• Updated TVEAI AI models to contain the changes from TVEAI 2.6.3
• Updated the module to open YouTube videos correctly
• Worked to correct a spelling error in the error log
• Corrected a bug where the new resizing tool could not accept negative sizes
• Corrected the module to stop overwriting already made videos

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