Home

Awesome

<p align="center"> <img src="https://user-images.githubusercontent.com/21986859/102733190-872a7880-4334-11eb-8e9e-0ca747f130b1.png"/> </br> <img src="https://img.shields.io/github/v/release/k4yt3x/video2x?style=flat-square"/> <img src="https://img.shields.io/github/actions/workflow/status/k4yt3x/video2x/ci.yml?label=CI&style=flat-square"/> <img src="https://img.shields.io/github/downloads/k4yt3x/video2x/total?style=flat-square"/> <img src="https://img.shields.io/github/license/k4yt3x/video2x?style=flat-square"/> <img src="https://img.shields.io/badge/dynamic/json?color=%23e85b46&label=Patreon&query=data.attributes.patron_count&suffix=%20patrons&url=https%3A%2F%2Fwww.patreon.com%2Fapi%2Fcampaigns%2F4507807&style=flat-square"/> </p>

💬 Telegram Discussion Group

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

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.

📔 Google Colab

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.

🌙 Download Nightly Releases

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

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.

📖 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.

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.

Video Upscaling

Spirited Away Demo
Upscale demo: Spirited Away's movie trailer

GIF Upscaling

catfru catfru4x
Catfru scaled up to 4x its original size using waifu2x (original image)

Image Upscaling

Jill Comparison
Image 8x upscaling demo (original image by 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.

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)
Copyright (C) 2018-2024 K4YT3X and contributors.

AGPLv3

This project includes or depends on these following projects:

ProjectLicense
FFmpegLGPLv2.1, GPLv2
waifu2x-ncnn-vulkanMIT License
srmd-ncnn-vulkanMIT License
realsr-ncnn-vulkanMIT License
rife-ncnn-vulkanMIT License
realcugan-ncnn-vulkanMIT License
Anime4KMIT License
ffmpeg-pythonApache-2.0
LoguruMIT License
opencv-pythonMIT License
PillowHPND License
RichMIT License
pynputLGPLv3.0

Legacy versions of this project includes or depends on these following projects:

ProjectLicense
waifu2x-caffeMIT License
waifu2x-converter-cppMIT License
Anime4KCPPMIT License
GifskiAGPLv3
tqdmMPLv2.0, MIT License

More licensing information can be found in the NOTICES file.

Special Thanks

Appreciations given to the following personnel who have contributed significantly to the project.

Similar Projects