## [💬 Telegram Discussion Group](https://t.me/video2x) 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. ## [🪟 Download Windows Releases](https://github.com/k4yt3x/video2x/releases/tag/4.8.1) 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](https://github.com/k4yt3x/video2x/wiki/GUI) page to see the basic usages of the GUI. Try the [mirror](https://files.k4yt3x.com/Projects/Video2X/latest) if you can't download releases directly from GitHub. ## [📔 Google Colab](https://colab.research.google.com/drive/1gWEwcA9y57EsxwOjmLNmNMXPsafw0kGo) You can use Video2X on [Google Colab](https://colab.research.google.com/) **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+](https://colab.research.google.com/signup/pricing) if you'd like to use better GPUs and get longer runtimes. Usage instructions are embedded in the [Colab Notebook](https://colab.research.google.com/drive/1gWEwcA9y57EsxwOjmLNmNMXPsafw0kGo). ## [🌙 Download Nightly Releases](https://github.com/k4yt3x/video2x/actions/workflows/ci.yml) 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.** ## [📦 Container Image](https://github.com/k4yt3x/video2x/pkgs/container/video2x) 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](https://github.com/K4YT3X/video2x/wiki/Container). ## [📖 Documentations](https://github.com/k4yt3x/video2x/wiki) Video2X's documentations are hosted on this repository's [Wiki page](https://github.com/k4yt3x/video2x/wiki). It includes comprehensive explanations for how to use the [GUI](https://github.com/k4yt3x/video2x/wiki/GUI), the [CLI](https://github.com/k4yt3x/video2x/wiki/CLI), the [container image](https://github.com/K4YT3X/video2x/wiki/Container), the [library](https://github.com/k4yt3x/video2x/wiki/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. ## Introduction 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](https://github.com/k4yt3x/video2x/wiki/Algorithms). ### Video Upscaling \ _Upscale demo: Spirited Away's movie trailer_ - **Spirited Away**: [YouTube](https://youtu.be/mGEfasQl2Zo) | [Bilibili](https://www.bilibili.com/video/BV1V5411471i/) - 360P to 4K - The [original video](https://www.youtube.com/watch?v=ByXuk9QqQkk)'s copyright belongs to 株式会社スタジオジブリ - **Bad Apple!!**: [YouTube](https://youtu.be/A81rW_FI3cw) | [Bilibili](https://www.bilibili.com/video/BV16K411K7ue) - 384P to 4K 120FPS - The [original video](https://www.nicovideo.jp/watch/sm8628149)'s copyright belongs to あにら - **The Pet Girl of Sakurasou**: [YouTube](https://youtu.be/M0vDI1HH2_Y) | [Bilibili](https://www.bilibili.com/video/BV14k4y167KP/) - 240P to 1080P 60FPS - The original video's copyright belongs to ASCII Media Works ### GIF Upscaling  \ _Catfru scaled up to 4x its original size using waifu2x [(original image)](https://gfycat.com/craftyeasygoingankole-capoo-bug-cat)_ ### Image Upscaling \ _Image 8x upscaling demo ([original image](https://72915.tumblr.com/post/173793265673) by [nananicu](https://twitter.com/nananicu))_ ### Standard Test Clip 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)](https://files.k4yt3x.com/Resources/Videos/standard-test.mp4) 4.54 MiB - [waifu2x Upscaled Sample (1080P)](https://files.k4yt3x.com/Resources/Videos/standard-waifu2x.mp4) 4.54 MiB - [Original Ground Truth (1080P)](https://files.k4yt3x.com/Resources/Videos/standard-original.mp4) 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. ## License This project is licensed under the [GNU Affero General Public License Version 3 (GNU AGPL v3)](https://www.gnu.org/licenses/agpl-3.0.txt)\ Copyright (C) 2018-2024 K4YT3X and contributors.  This project includes or depends on these following projects: | Project | License | | ----------------------------------------------------------------------- | --------------- | | [FFmpeg](https://www.ffmpeg.org/) | LGPLv2.1, GPLv2 | | [waifu2x-ncnn-vulkan](https://github.com/nihui/waifu2x-ncnn-vulkan) | MIT License | | [srmd-ncnn-vulkan](https://github.com/nihui/srmd-ncnn-vulkan) | MIT License | | [realsr-ncnn-vulkan](https://github.com/nihui/realsr-ncnn-vulkan) | MIT License | | [rife-ncnn-vulkan](https://github.com/nihui/rife-ncnn-vulkan) | MIT License | | [realcugan-ncnn-vulkan](https://github.com/nihui/realcugan-ncnn-vulkan) | MIT License | | [Anime4K](https://github.com/bloc97/Anime4K) | MIT License | | [ffmpeg-python](https://github.com/kkroening/ffmpeg-python) | Apache-2.0 | | [Loguru](https://github.com/Delgan/loguru) | MIT License | | [opencv-python](https://github.com/opencv/opencv-python) | MIT License | | [Pillow](https://github.com/python-pillow/Pillow) | HPND License | | [Rich](https://github.com/Textualize/rich) | MIT License | | [pynput](https://github.com/moses-palmer/pynput) | LGPLv3.0 | Legacy versions of this project includes or depends on these following projects: | Project | License | | --------------------------------------------------------------------------- | -------------------- | | [waifu2x-caffe](https://github.com/lltcggie/waifu2x-caffe) | MIT License | | [waifu2x-converter-cpp](https://github.com/DeadSix27/waifu2x-converter-cpp) | MIT License | | [Anime4KCPP](https://github.com/TianZerL/Anime4KCPP) | MIT License | | [Gifski](https://github.com/ImageOptim/gifski) | AGPLv3 | | [tqdm](https://github.com/tqdm/tqdm) | MPLv2.0, MIT License | More licensing information can be found in the [NOTICES](NOTICES) file. ## Special Thanks Appreciations given to the following personnel who have contributed significantly to the project. - [@BrianPetkovsek](https://github.com/BrianPetkovsek) - [@sat3ll](https://github.com/sat3ll) - [@ddouglas87](https://github.com/ddouglas87) - [@lhanjian](https://github.com/lhanjian) - [@ArchieMeng](https://github.com/archiemeng) - [@nihui](https://github.com/nihui) ## Similar Projects - [Dandere2x](https://github.com/CardinalPanda/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](https://github.com/AaronFeng753/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.