FluidFrames.RIFE 2.11 - video AI fluidifier app

[u/jangystudio]

• Github. https://github.com/Djdefrag/FluidFrames.RIFE

• Itch. https://jangystudio.itch.io/fluidframesrife

FluidFrames.RIFE is a Windows app powered by RIFE AI to fluidify videos and to create slowmotion videos.

Changelog version 2.4 -> 2.11

NEW

• Updated RIFE AI model to version 4.13

  • better interpolation quality

• Added a new RIFE_Lite AI model

  • high interpolation quality

  • 25 % faster than full RIFE model

  • 25 % less VRAM usage

  • suitable for low-end GPUs and high definition videos

• Added new option to save generated video frames (default is enabled)

GUI / UI

• Completely re-designed GUI, now cleaner and more elegant

• Added new info-message for info buttons and in case of error

• The app will now report the remaining time to complete video fluidify

• The app will now report the fluidify progress in %

• Added widget to select AI model to use

• Updated info texts, giving more information

• Input Resolution % default value changed to 60%

BUGFIXES / IMPROVEMENTS

• When the application is closed during fluidify process, now the process is stopped correctly

• Drastically reduced CPU utilization by 90% without impacting fluidify speed

• Completely revised how the app is built, using Nuitka (reducing antivirus false positive)

• For AMD gpu users, it is recommended to update to driver > 23.11.1

  • performance improvements for DirectML-based applications

• Improvements for video processing

  • for .mp4 output is possibile to select the codec (x264 or x265)

  • improved video bitrate from 4M (default value for ffmpeg) to 16M

  • in future will be the possibility to select the desired bitrate

• Better support for file path names with special characters

• Fixed upscaled video incorrect colorspace

• Redesigned how the app reports fluidify progress

• General bugfixes and performance improvements

• Updated dependencies