sirbalmoral / qualityscaler Goto Github PK

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. External packages are:

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

Prerequisites.

• Python installed on your pc, you can download it from here (https://www.python.org/downloads/release/python-3119/)
• VSCode installed on your pc, you can download it from here (https://code.visualstudio.com/)

Getting started.

• First of all, you need to download the project on your PC (Green button Code > Download ZIP)
• Extract the project directory from the .zip
• Now you need to download the AI models (github won't let me upload them directly because they are too big)
• In "AI-onnx" folder, there is the link to download the AI models, download the .zip and extract the files in AI-onnx directory
• Open the project with VSCode (just Drag&Drop the project directory on VSCode)
• Click on QualityScaler.py from left bar (VSCode will ask you to install some plugins, go ahead)
• Now, you need to install dependencies. In VSCode there is the "Terminal" panel, click there and execute the command "pip install -r requirements"
• Close VSCode and re-open it (this will refresh all the dependecies installed)
• Just click on the "Play button" in the upper right corner of VSCode
• Now the app should work

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

• Easy to use GUI
• Images and Videos upscale
• Multiple AI models
• Automatic image tiling and merging to avoid gpu VRAM limitation
• Resize image/video before AI upscaling
• Interpolation between the original and upscaled image/video
• Compatible images - png, jpeg, bmp, webp, tif
• Compatible video - mp4, wemb, gif, mkv, flv, avi, mov, qt

• 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)
  • Support for SAFMN AI architecture
• 3.X versions
  • New AI engine powered by onnxruntime-directml (https://pypi.org/project/onnxruntime-directml/)
  • Python 3.11 (~10% performance improvements)
  • Display images/videos upscaled resolution in the GUI
  • FFMPEG 7 (latest release)
  • Video multi-threading AI upscale
  • Python 3.12
  • Video upscaling pause and restart