Join our Telegram discussion group to ask any questions you have about Video2X, chat directly with the developers, or discuss about upscaling technologies and the future of Video2X in general.
The latest Windows update is built based on version 4.8.1. GUI is not available for 5.0.0 yet, but is already under development. Go to the GUI page to see the basic usages of the GUI. Try the mirror if you can't download releases directly from GitHub.
You can use Video2X on Google Colab for free if you don't have a powerful GPU of your own. You can borrow a powerful GPU (Tesla K80, T4, P4, or P100) on Google's server for free for a maximum of 12 hours per session. Please use the free resource fairly and do not create sessions back-to-back and run upscaling 24/7. This might result in you getting banned. You can get Colab Pro/Pro+ if you'd like to use better GPUs and get longer runtimes. Usage instructions are embedded in the Colab Notebook.
Nightly releases are automatically created by the GitHub Actions CI/CD pipelines. They usually contain more experimental features and bug fixes. However, they are much less stable to the stable releases. You must log in to GitHub to download CI build artifacts.
Video2X container images are available on the GitHub Container Registry for easy deployment on Linux and macOS. If you already have Docker/Podman installed, only one command is needed to start upscaling a video. For more information on how to use Video2X's Docker image, please refer to the documentations.
Video2X's documentations are hosted on this repository's Wiki page. It includes comprehensive explanations for how to use the GUI, the CLI, the container image, the library, and more. The Wiki is open to edits by the community, so you, yes you, can also correct errors or add new contents to the documentations.
Video2X is a video/GIF/image upscaling and frame interpolation software written in Python. It can use these following state-of-the-art algorithms to increase the resolution and frame rate of your video/GIF/image. More information about the algorithms that it supports can be found in the documentations.
- Spirited Away: YouTube | Bilibili
- 360P to 4K
- The original video's copyright belongs to 株式会社スタジオジブリ
- Bad Apple!!: YouTube | Bilibili
- 384P to 4K 120FPS
- The original video's copyright belongs to あにら
- The Pet Girl of Sakurasou: YouTube | Bilibili
- 240P to 1080P 60FPS
- The original video's copyright belongs to ASCII Media Works
Catfru scaled up to 4x its original size using waifu2x (original image)
The following clip can be used to test if your setup works properly. This is also the standard clip used for running performance benchmarks.
- Standard Test Clip (240P) 4.54 MiB
- waifu2x Upscaled Sample (1080P) 4.54 MiB
- Original Ground Truth (1080P) 22.2 MiB
The original clip came from the anime "さくら荘のペットな彼女."
Copyright of this clip belongs to 株式会社アニプレックス.
This project is licensed under the GNU Affero General Public License Version 3 (GNU AGPL v3)
Copyright (C) 2018-2024 K4YT3X and contributors.
This project includes or depends on these following projects:
Legacy versions of this project includes or depends on these following projects:
|MPLv2.0, MIT License
More licensing information can be found in the NOTICES file.
Appreciations given to the following personnel who have contributed significantly to the project.
- Dandere2x: A lossy video upscaler also built around
waifu2x, but with video compression techniques to shorten the time needed to process a video.
- Waifu2x-Extension-GUI: A similar project that focuses more and only on building a better graphical user interface. It is built using C++ and Qt5, and currently only supports the Windows platform.