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QualityScaler - image/video AI upscaler app

Qualityscaler is a Windows app powered by AI to enhance, enlarge and reduce noise in photographs and videos.

• https://github.com/Djdefrag/RealESRScaler / RealESRScaler - image/video AI upscaler app (Real-ESRGAN)
• https://github.com/Djdefrag/FluidFrames.RIFE / FluidFrames.RIFE - video AI interpolation app (RIFE-HDv3)

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

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

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

• AI -> torch / torch-directml
• GUI -> customtkinter
• Image/video -> openCV / moviepy
• Packaging -> pyinstaller / upx

• 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
• Multiple Gpu support
• 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 (now under development)
  • 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
  • Show the remaining time to complete video upscaling
  • Metadata extraction and application from original file to upscaled file (via exiftool)
  • Python 3.11 (expecting ~30% more performance)
  • Torch/torch-directml 2.0 (expecting ~20% more performance)