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What is QualityScaler?
Qualityscaler is a Windows app powered by AI to enhance, upscale and de-noise photographs and videos.
Other AI projects.🤓
- https://github.com/Djdefrag/RealScaler / RealScaler - image/video AI upscaler (Real-ESRGAN)
- https://github.com/Djdefrag/FluidFrames.RIFE / FluidFrames.RIFE - video AI frame generation
Credits.
- BSRGAN - https://github.com/cszn/BSRGAN
- Real-ESRGAN - https://github.com/xinntao/Real-ESRGAN
- IRCNN - https://github.com/lipengFu/IRCNN
Citations. ❤
- https://80.lv/articles/80-level-digest-great-ai-powered-tools-for-upscaling-images/
- https://timesavervfx.com/ai-upscale/
How is made. 🛠
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
Make it work by yourself. 👨💻
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
Requirements. 🤓
- Windows 11 / Windows 10
- RAM >= 8Gb
- Any Directx12 compatible GPU with >= 4GB VRAM
Features.
- [x] Easy to use GUI
- [x] Images and Videos upscale
- [x] Multiple AI models
- [x] Automatic image tiling and merging to avoid gpu VRAM limitation
- [x] Resize image/video before AI upscaling
- [x] Interpolation between the original and upscaled image/video
- [x] Compatible images - png, jpeg, bmp, webp, tif
- [x] Compatible video - mp4, wemb, gif, mkv, flv, avi, mov, qt
Next steps. 🤫
- [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] Support for SAFMN AI architecture
- [ ] 3.X versions
- [x] New AI engine powered by onnxruntime-directml (https://pypi.org/project/onnxruntime-directml/)
- [x] Python 3.11 (~10% performance improvements)
- [x] Display images/videos upscaled resolution in the GUI
- [x] FFMPEG 7 (latest release)
- [x] Video multi-threading AI upscale
- [x] Python 3.12
- [ ] Video upscaling pause and restart
Some Example.
Videos
Images
