FluidFrames.RIFE Save

FluidFrames.RIFE | video AI frame generation app

What is FluidFrames.RIFE?

FluidFrames.RIFE is a Windows app powered by RIFE AI to create frame-generated and slowmotion videos.

Other AI projects.🤓

• https://github.com/Djdefrag/QualityScaler / QualityScaler - image/video AI upscaler app
• https://github.com/Djdefrag/RealScaler / RealScaler - image/video AI upscaler app (Real-ESRGAN)

Credits.

• RIFE - https://github.com/megvii-research/ECCV2022-RIFE
• PraticalRIFE - https://github.com/hzwer/Practical-RIFE

How is made. 🛠

FluidFrames.RIFE is completely written in Python, from backend to frontend. External packages are:

• AI -> torch / onnxruntime-directml
• GUI -> customtkinter
• Image/video -> OpenCV / moviepy
• Packaging -> Nuitka

Requirements. 🤓

• Windows 11 / Windows 10
• RAM >= 8Gb
• Any Directx12 compatible GPU with >= 2GB VRAM

Features.

• Elegant and easy to use GUI
• Video frames generation x2 / x4 / x8
  • 30fps => x2 => 60fps
  • 30fps => x4 => 120fps
  • 30fps => x8 => 240fps
• Video slowmotion x2 /x4
  • 30fps => x2_slowmotion => 30fps - 2 times slower
  • 30fps => x4_slowmotion => 30fps - 4 times slower
  • 30fps => x8_slowmotion => 30fps - 8 times slower
• Resize video before interpolation
• Multiple gpu backend
• Compatible video - mp4, wemb, gif, mkv, flv, avi, mov, qt

Next steps. 🤫

• 1.X versions
  • Switch to Pytorch-directml to support all Directx12 compatible gpu (AMD, Intel, Nvidia)
  • New GUI with Windows 11 style
  • Include audio for processed video
  • Optimizing video frame resize and extraction speed
  • Multi GPU support (for pc with double GPU, integrated + dedicated)
  • Python 3.10 (expecting ~10% more performance)
  • Slowmotion function
• 2.X versions
  • New, completely redesigned graphical interface based on @customtkinter
  • Fluidify multiple videos at once
  • Save AI generated frames as files
  • Support RIFE AI model updates
  • Support for RIFE_Lite AI model (a faster and lighter version of RIFE)
• 3.x versions (now under development)
  • New AI engine powered by onnxruntime-directml (https://pypi.org/project/onnxruntime-directml/)
  • Python 3.11 (~10% performance improvements)
  • Display frame-generated videos info in the GUI
  • FFMPEG 6.1.1 (latest release)
  • Python 3.12
  • Video frame-generation pause and restart

Some Examples.

Videos

1. Original / x4 / x2-slomotion

https://github.com/Djdefrag/FluidFrames.RIFE/assets/32263112/e8e728b4-a2f5-4a74-8f04-5a5977c69fc4

https://github.com/Djdefrag/FluidFrames.RIFE/assets/32263112/21007233-b7ff-4836-a207-cfe3ed23ed28

3. Original / x4 / x4-slomotion

https://user-images.githubusercontent.com/32263112/235297757-5daf129e-4e19-4b8b-b6c8-b661ac1028db.mp4

https://user-images.githubusercontent.com/32263112/235297763-26bf9fdd-3d40-4aba-8688-5ef85a532ed0.mp4

https://user-images.githubusercontent.com/32263112/235297767-0adc4635-a43e-4c37-bd15-a24e1dd47f32.mp4

3. Original / x2

https://user-images.githubusercontent.com/32263112/222885925-a28122e8-92f8-4e53-b287-4ae17bb177c7.mp4

https://user-images.githubusercontent.com/32263112/222885933-f2e13869-984c-4192-8020-1668035e5cd3.mp4

4. Original / x2

https://user-images.githubusercontent.com/32263112/221165739-71dfd957-5d3d-481b-9a26-bb08d5affa6f.mp4

5. Original / x2 / x2-slomotion

https://user-images.githubusercontent.com/32263112/228229016-8b26c8f3-8a68-4b5e-b1ff-d52f9be76a03.mp4

https://user-images.githubusercontent.com/32263112/228229044-9d267a66-543e-43ca-890b-db6a70c29d0b.mp4

https://user-images.githubusercontent.com/32263112/228229083-d29a313f-3d28-4cdb-9d97-63410f28a608.mp4