QualityScaler - image/video AI upscaler app

Qualityscaler is a Windows app powered by AI to enhance, upscale and de-noise photographs and videos.

• https://github.com/Djdefrag/RealScaler / RealScaler - image/video AI upscaler (Real-ESRGAN)
• https://github.com/Djdefrag/FluidFrames.RIFE / FluidFrames.RIFE - video AI frame generation

• BSRGAN - https://github.com/cszn/BSRGAN
• Real-ESRGAN - https://github.com/xinntao/Real-ESRGAN
• IRCNN - https://github.com/lipengFu/IRCNN

• https://80.lv/articles/80-level-digest-great-ai-powered-tools-for-upscaling-images/
• https://timesavervfx.com/ai-upscale/

QualityScaler is completely written in Python, from backend to frontend.

• pytorch (https://github.com/pytorch/pytorch)
• onnx (https://github.com/onnx/onnx)
• onnxconverter-common (https://github.com/microsoft/onnxconverter-common)
• onnxruntime-directml (https://github.com/microsoft/onnxruntime)
• customtkinter (https://github.com/TomSchimansky/CustomTkinter)
• openCV (https://github.com/opencv/opencv)
• pyInstaller (https://github.com/pyinstaller/pyinstaller)

Prerequisites.

• Python installed on your pc (https://www.python.org/downloads/)
• VSCode installed on your pc (https://code.visualstudio.com/)
• AI models downloaded (https://gofile.io/d/b4Ds9u)
• ffmpeg.exe file downloaded (https://www.gyan.dev/ffmpeg/builds/) RELEASE BUILD > ffmpeg-release-essentials.7z

Getting started.

• Download the project on your PC (Green button Code > Download ZIP)
• Extract the project from the .zip
• Extract the AI models files in /AI-onnx folder
• Extract FFMPEG.exe in /Assets folder
• Open the project with VSCode (Drag&Drop the project directory on VSCode)
• Click on QualityScaler.py from left bar (VSCode will ask to install Python plugins)
• Install dependencies. In VSCode there is the "Terminal" panel, click there and execute the command "pip install -r requirements.txt"
• Close VSCode and re-open it (this will refresh all the dependecies installed)
• Click on the "Play button" in the upper right corner of VSCode

• Windows 11 / Windows 10
• RAM >= 8Gb
• Any Directx12 compatible GPU with >= 4GB VRAM

• Elegant and easy to use GUI
• Image and Video upscale
• Multiple GPUs support
• Compatible images - jpg, png, tif, bmp, webp, heic
• Compatible video - mp4, wemb, mkv, flv, gif, avi, mov, mpg, qt, 3gp
• Automatic image tilling to avoid gpu VRAM limitation
• Resize image/video before upscaling
• Interpolation beetween original file and upscaled file
• Video upscaling STOP&RESUME
• PRIVACY FOCUSED - no internet connection required / everything is on your PC

• 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 upscaled 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)
• 2.X versions
  • New, completely redesigned graphical interface based on @customtkinter
  • Upscaling images and videos at once (currently it is possible to upscale images or single video)
  • Upscale multiple videos at once
  • Choose upscaled video extension
  • Interpolation between the original and upscaled image/video
  • More Interpolation levels (Low, Medium, High)
  • Show the remaining time to complete video upscaling
  • Support for SRVGGNetCompact AI architecture
  • Metadata extraction and application from original file to upscaled file (via exiftool)
• 3.X versions
  • New AI engine powered by onnxruntime-directml (https://github.com/microsoft/onnxruntime))
  • Python 3.11 (performance improvements)
  • Python 3.12 (performance improvements)
  • Display images/videos upscaled resolution in the GUI
  • Updated FFMPEG to version 7.x (latest release)
  • Saving user settings (AI model, GPU, CPU etc.)
  • Video AI multi-threading upscale
  • Video upscaling STOP&RESUME
• 4.X version
  • Hardware accelerated video encoding (nvenc / amf / qsv)
  • More video extensions (.mp4 / .mkv / .avi / .mov)
  • Choose output resolution scaling
  • Video AI multi-threading improvements
  • Updated AI-engine (onnxruntime-directml)
  • Video frames extraction by FFMPEG (x10 times faster)
• 2026.X version
  • Implement new AI models
  • App interface % scaling
  • TTA upscale mode