![]() Grab models for specific kinds of content here, or train your own:įor help, just post an issue, or ask in the Game Upscale or Animation Upscale Discords. Also, keep in mind that Colab's CPU is very slow, and that sessions are limited to 12 hours, so use GPU accelerated filters wherever possible in scripts with heavy CPU filters, and write your processesed videos to Google Drive or Nextcloud. anime fps editingtekken 2 cartoon fmvTimecodes00:00 Demonstration of video quality enhancement00:13 frame rate enhancement00:54 zoomed in 400 to see qual. I highly recommend stabilizing ESRGAN output with a temporal filter, or using a dedicated video model from another repo. Video Enhance AI by Topaz Labs is an AI-based consumer desktop video upscaler. Video Enhance AI to convert native 24 fps and 30 fps footage to 60 fps. Process the whole video in a scratch cell.įor basics on VapourSynth and super resolution filters, see the wiki (and links to other guides) here:īrowse through VS plugins and scripts here, search for "vapoursynth" on github, or look through the "VapourSynthImports" folder and VapourSynth's imported plugins: 60 fps converter ai Io/rife-appThis AI let you predicThe frame rate limit is. ![]() ![]() Generate the preview in the preview cell.Run the "Preview Options" cell to test the script. Heres the good news: Topaz Video Enhance AI is, hands-down, the best AI video upscaler Ive tested.Run the cell with the example VapourSynth script, or load your own video and edit it.Run the "Check GPU" and "Run This at Startup" cells.Run ESRGAN or MXNet models, OpenCL and CUDA filters, and CPU filters on video frames simultaneously in VapourSynth scripts, or use VapourSynth filters to pre/post process videos for other ML Colab projects, and do it all in the cloud for free. A Google Colab notebook set up for both conventional and machine learning-based video processing.
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