AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |
Back to Blog
![]() ![]() We’ve also improved the stability, performance, and quality of the app over the past month: We’re now quite satisfied with the quality of Topaz Video AI’s frame interpolation, so will now refocus on improving our general enhancement models. If you’re not sure which model to use, queue up a preview for both Apollo and Chronos Fast, then toggle between the two versions to see which one you prefer. Use Chronos Fast when you require more than 8x frames, or when reducing FPSįor example, use Apollo if you want to convert a video from 30 → 60 FPS and slow it by 400% since that requires 8x the input frames.Use Apollo when you require 8x or fewer frames.We’re very proud of these results and hope you find Apollo useful! Use Apollo for up to 8x frame interpolationĪpollo always generates 8x frames from your input video and drops unneeded ones depending on your desired output. This new Apollo uses a completely new model architecture and improved dataset to achieve sharper and more natural results than the initial release. Introduced in v3.0, the first Apollo model specialized in interpolating frames for nonlinear motion and blurry footage. Notice the interpolation quality in areas of rapid motion, such as on the dog’s paws:įor this next video, follow the arm from the top left as it moves through the frame:įinally, observe how natural the dancer’s hair and arms appear: Let’s compare slow motion using Optical Flow (left) vs Topaz Video AI’s new Apollo model (right). This new release outperforms our older Apollo / Chronos AI models and decisively surpasses optical flow for footage with nonlinear motion. We’ve released a completely new version of Apollo that produces significantly more natural results for difficult footage. You’ll know it’s done when Terminal shows you the default “%” sign again.Since last month’s roadmap update, you can now get vastly improved slow motion and FPS conversion with a new version of the Apollo AI model. Sh /Applications/Topaz\ Video\ AI.app/Contents/MacOS/downloadModels-v4-1.shĭownload is slow, give it time. This is how it should look before pressing Enter (in case you want to copy and paste directly): Then go back to Terminal and hit the Enter key to execute. Then drag and drop the “ downloadModels-v4-1.sh” script file (from the /Applications/Topaz Video AI.app/Contents/MacOS folder to which you copied it after downloading) to the Terminal app MacOS → System Settings → Privacy & Security → Full Disk Access.Īfter doing that, make sure you completely close both apps (or even better: Restart your computer!)ģ- If you want to download models to a different directory (or external hard drive), open Topaz Video AI and go toīrowse to select your new Model Folder location, hit “ Save”, and then make sure you completely close the app and re-open it.Ī Terminal window will open. It should be sitting right next to the FFMPEG file (remember to right-click “Topaz Video AI.app” and selecting “ Show Package Contents” to be able to get to that folder)Ģ- Give “ Full Disk Access” permissions to both “Topaz Video AI.app” and “Terminal.app” in Applications/Topaz Video AI.app/Contents/MacOS Extract the downloadModels-v4-1.sh script file and copy it to ![]() ![]() If it matters, using Windows 10 updated to the latest as of this version of Topaz 4.0, Nvidia 2080ti.ġ- Download the macOS script zipped file from the first post on this page. Or: Invalid value nap-2 for model, model should be in the following list: Some examples: Failed to configure output pad on Parsed_tvai_up_0įailed to inject frame into filter network: Invalid argumentĮrror while processing the decoded data for stream #0:0 I’ve specificed the path to Topaz’s FFMPEG and most models download but I get errors on many models.
0 Comments
Read More
Leave a Reply. |