QualityScaler

     ![](https://github.com/Djdefrag/QualityScaler/blob/main/Assets/logo.png)  

QualityScaler - image/video AI upscaler app

    [
             ![](https://static.itch.io/images/badge-color.svg) 
        ](https://jangystudio.itch.io/qualityscaler)
    [
              ![](https://images.squarespace-cdn.com/content/v1/5b45fae8b98a78d9d80b9c5c/1531959264455-E7B8MJ3VMPX0593VGCZG/button-steam-available-fixed-2.png) 
        ](https://store.steampowered.com/app/2463110/QualityScaler/)


  



     ![](https://github.com/user-attachments/assets/040e3880-3adb-478a-9a82-df2c5dc12fad) 

📑 Table of Contents

• What is QualityScaler?
• Features
• How to use QualityScaler?
• Other AI projects
• Credits
• Citations
• How is made
• Make it work by yourself
• Requirements
• Roadmap
• Examples

❓ What is QualityScaler?

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

✨ Features

• Elegant and easy to use GUI
• Image and video upscale
• Multiple GPUs support
• Compatible images - jpg, png, tif, bmp, webp, heic
• Compatible video - mp4, webm, mkv, flv, gif, avi, mov, mpg, qt, 3gp
• Automatic image tiling to avoid GPU VRAM limitation
• Resize image/video before upscaling
• Interpolation between the original file and the upscaled file
• Video upscaling STOP & RESUME
• 🔒 Privacy focused - no internet connection required, everything runs on your PC

🎬 How to use QualityScaler?

movie_max_vp9.webm

🤖 Other AI projects

• RealScaler - image/video AI upscaler (Real-ESRGAN)
• FluidFrames.RIFE - video AI frame generation

🙏 Credits

• BSRGAN
• Real-ESRGAN
• IRCNN

❤️ Citations

• 80.lv - Great AI-powered tools for upscaling images
• TimeSaverVFX - AI Upscale

🛠️ How is made

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

• PyTorch
• ONNX
• onnxconverter-common
• onnxruntime-directml
• CustomTkinter
• OpenCV
• PyInstaller

🧑‍💻 Make it work by yourself

Prerequisites

• Python installed on your PC
• VSCode installed on your PC
• AI models downloaded
• ffmpeg.exe downloaded (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 the /AI-onnx folder
• Extract ffmpeg.exe in the /Assets folder
• Open the project with VSCode (drag & drop the project directory onto VSCode)
• Click on QualityScaler.py in the left sidebar (VSCode will ask to install the Python extension)
• Install dependencies: open the VSCode "Terminal" panel and run pip install -r requirements.txt
• Close VSCode and re-open it (this refreshes all the installed dependencies)
• Click the "Play" button in the upper right corner of VSCode

💻 Requirements

🗺️ Roadmap

Click to expand full changelog

• [x] 1.X versions
  • [x] Switch to Pytorch-directml to support all Directx12 compatible gpu (AMD, Intel, Nvidia)
  • [x] New GUI with Windows 11 style
  • [x] Include audio for upscaled video
  • [x] Optimizing video frame resize and extraction speed
  • [x] Multi GPU support (for pc with double GPU, integrated + dedicated)
  • [x] Python 3.10 (expecting ~10% more performance)
• [x] 2.X versions
  • [x] New, completely redesigned graphical interface based on @customtkinter
  • [x] Upscaling images and videos at once (currently it is possible to upscale images or single video)
  • [x] Upscale multiple videos at once
  • [x] Choose upscaled video extension
  • [x] Interpolation between the original and upscaled image/video
  • [x] More Interpolation levels (Low, Medium, High)
  • [x] Show the remaining time to complete video upscaling
  • [x] Support for SRVGGNetCompact AI architecture
  • [x] Metadata extraction and application from original file to upscaled file (via exiftool)
• [x] 3.X versions
  • [x] New AI engine powered by onnxruntime-directml (https://github.com/microsoft/onnxruntime))
  • [x] Python 3.11 (performance improvements)
  • [x] Python 3.12 (performance improvements)
  • [x] Display images/videos upscaled resolution in the GUI
  • [x] Updated FFMPEG to version 7.x (latest release)
  • [x] Saving user settings (AI model, GPU, CPU etc.)
  • [x] Video AI multi-threading upscale
  • [x] Video upscaling STOP&RESUME
• [x] 4.X version
  • [x] Hardware accelerated video encoding (nvenc / amf / qsv)
  • [x] More video extensions (.mp4 / .mkv / .avi / .mov)
  • [x] Choose output resolution scaling
  • [x] Video AI multi-threading improvements
  • [x] Updated AI-engine (onnxruntime-directml)
  • [x] Video frames extraction by FFMPEG (x10 times faster)
• [ ] 2026.X version
  • [x] Implement new AI models
  • [x] App interface % scaling
  • [ ] TTA upscale mode

🖼️ Examples

Videos

https://user-images.githubusercontent.com/32263112/209139639-2b123b83-ac6e-4681-b94a-954ed0aea78c.mp4

Images