https://github.com/djdefrag/qualityscaler
QualityScaler - image/video AI upscaler app
https://github.com/djdefrag/qualityscaler
amd anime compression-artifact-reduction deep-learning directx-12 gui-application intel manga noise-reduction nvidia onnx onnxruntime opencv python python3 pytorch super-resolution video video-processing windows
Last synced: 12 days ago
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QualityScaler - image/video AI upscaler app
- Host: GitHub
- URL: https://github.com/djdefrag/qualityscaler
- Owner: Djdefrag
- License: mit
- Created: 2022-04-03T14:42:56.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2025-02-20T08:21:26.000Z (2 months ago)
- Last Synced: 2025-04-03T22:36:28.429Z (19 days ago)
- Topics: amd, anime, compression-artifact-reduction, deep-learning, directx-12, gui-application, intel, manga, noise-reduction, nvidia, onnx, onnxruntime, opencv, python, python3, pytorch, super-resolution, video, video-processing, windows
- Language: Python
- Homepage:
- Size: 216 MB
- Stars: 2,348
- Watchers: 30
- Forks: 177
- Open Issues: 42
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
QualityScaler - image/video AI upscaler app
## What is QualityScaler?
Qualityscaler is a Windows app powered by AI to enhance, upscale and de-noise photographs and videos.
## How to use QualityScaler?
[movie_max_vp9.webm](https://github.com/user-attachments/assets/4a1984be-c8c8-464b-a3d1-43445635b165)
## 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.
- [x] pytorch (https://github.com/pytorch/pytorch)
- [x] onnx (https://github.com/onnx/onnx)
- [x] onnxconverter-common (https://github.com/microsoft/onnxconverter-common)
- [x] onnxruntime-directml (https://github.com/microsoft/onnxruntime)
- [x] customtkinter (https://github.com/TomSchimansky/CustomTkinter)
- [x] openCV (https://github.com/opencv/opencv)
- [x] moviepy (https://github.com/Zulko/moviepy)
- [x] pyInstaller (https://github.com/pyinstaller/pyinstaller)
## Make it work by yourself. 👨💻
Prerequisites.
- Python installed on your pc (https://www.python.org/downloads/release/python-3119/)
- VSCode installed on your pc (https://code.visualstudio.com/)
- AI models downloaded (https://gofile.io/d/jQmbgY)
- FFMPEG.exe 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
## Requirements. 🤓
- Windows 11 / Windows 10
- RAM >= 8Gb
- Any Directx12 compatible GPU with >= 4GB VRAM
## Features.
- [x] Elegant and easy to use GUI
- [x] Image and Video upscale
- [x] Multiple GPUs support
- [x] Compatible images - jpg, png, tif, bmp, webp, heic
- [x] Compatible video - mp4, wemb, mkv, flv, gif, avi, mov, mpg, qt, 3gp
- [x] Automatic image tilling to avoid gpu VRAM limitation
- [x] Resize image/video before upscaling
- [x] Interpolation beetween original file and upscaled file
- [x] Video upscaling STOP&RESUME
- [x] PRIVACY FOCUSED - no internet connection required / everything is on your PC
## 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] 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
- [ ] 4.X version
- [x] Hardware accelerated video encoding (nvenc / amf / qsv)
- [x] More video extensions (.mp4 / .mkv / .avi / .mov)
- [x] Output resolution scaling
- [x] Video AI multi-threading improvements
## Some Example.
#### Videos
https://user-images.githubusercontent.com/32263112/209139639-2b123b83-ac6e-4681-b94a-954ed0aea78c.mp4
#### Images
