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A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.
| Date | Stars |
|---|---|
| 2026-07-31 | 20684 |
| 2026-08-01 | 20684 |
| 2026-08-05 | 20753 |
| 2026-08-06 | 20755 |
Today
+2 stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
<p align="center">
<img src="https://github.com/user-attachments/assets/5cd63373-e806-474f-94ec-6e04963bf90f"
alt="Video2X: A machine learning-based video super resolution and frame interpolation framework."/>
</br>
<img src="https://img.shields.io/github/v/release/k4yt3x/video2x?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/github/sponsors/k4yt3x?style=flat-square&link=https%3A%2F%2Fgithub.com%2Fsponsors%2Fk4yt3x"/>
<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>
## 🌟 Version 6.0.0
Video2X 6.0.0 highlights:
- Complete rewrite of the Video2X project in C/C++.
- Faster and more efficient architecture.
- Cross-platform support for Windows and Linux.
- Vastly improved output quality.
- New GUI and installer for easy setup on Windows.
<details>
<summary>Click to see more details</summary>
Version 6.0.0 is a complete rewrite of this project in C/C++. It:
- genuinely works this time, with much less hassle compared to the 5.0.0 beta;
- is blazing fast, thanks to the new optimized pipeline and the efficiency of C/C++;
- is cross-platform, available now for both Windows and Linux;
- offers significantly better output quality with Anime4K v4, Real-ESRGAN, Real-CUGAN, and RIFE;
- supports two modes: filtering (upscaling) and frame interpolation;
- supports Anime4K v4 and all custom MPV-compatible GLSL shaders;
- supports Real-ESRGAN, Real-CUGAN, and RIFE (all models) via ncnn and Vulkan;
- requires zero additional disk space during processing, just space for the final output.
</details>
## 🖥️ Hardware Requirements
Your system must meet the minimum hardware requirements below to run Video2X.
- **CPU**
- The precompiled binaries require CPUs with AVX2 support.
- **Intel**: Haswell (Q2 2013) or newer
- **AMD**: Excavator (Q2 2015) or newer
- **GPU**
- The GPU must support Vulkan.
- **NVIDIA**: Kepler (GTX 600 series, Q2 2012) or newer
- **AMD**: GCN 1.0 (Radeon HD 7000 series, Q1 2012) or newer
- **Intel**: HD Graphics 4000 (Q2 2012) or newer
## [🪟 Install on Windows](https://docs.video2x.org/installing/windows-qt6.html)
**[Download the Latest Windows Installer Executable (6.4.0)](https://github.com/k4yt3x/video2x/releases/download/6.4.0/video2x-qt6-windows-amd64-installer.exe)**
You can download the latest Windows release on the [releases page](https://github.com/k4yt3x/video2x/releases/latest). For basic GUI usage, refer to the [documentation](https://docs.video2x.org/running/desktop.html). If you're unable to download directly from GitHub, try the [mirror site](https://files.k4yt3x.com). The GUI currently supports the following languages:
- English (United States)
- 简体中文（中国）
- 日本語（日本）
- Português (Portugal)
- Français (France)
- Deutsch (Deutschland)
## [🐧 Install on Linux](https://docs.video2x.org/installing/linux.html)
Video2X packages are available for the Linux distros listed below. A universal AppImage is also available for other distros. If you'd like to build it from source code, refer to the [PKGBUILD](packaging/arch/PKGBUILD) file for a general overview of the required dependencies and commands.
- Arch Linux: AUR packages, maintained by [@K4YT3X](https://github.com/k4yt3x).
- [aur/video2x](https://aur.archlinux.org/packages/video2x)
- [aur/video2x-git](https://aur.archlinux.org/packages/video2x-git)
- [aur/video2x-qt6](https://aur.archlinux.org/packages/video2x-qt6)
- [aur/video2x-qt6-git](https://aur.archlinux.org/packages/video2x-qt6-git)
- Arch Linux (Chinese Mainland): archlinuxcn packages, maintained Excerpt of 10,078 characters
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:c7e820c6de756cb9, llm:Repository description, topics (anime4k, frame-interpolation, machine-learning, neural-networks, realcugan, realesrgan, rife, super-resoluion, upscale-video, vulkan) and README stating "machine learning-based video super resolution and frame interpolation framework", support for Real-ESRGAN/Real-CUGAN/RIFE, Anime4K, and model inference via ncnn/Vulkan.
matched fp:c7e820c6de756cb9, llm:Repository description, topics (anime4k, frame-interpolation, machine-learning, neural-networks, realcugan, realesrgan, rife, super-resoluion, upscale-video, vulkan) and README stating "machine learning-based video super resolution and frame interpolation framework", support for Real-ESRGAN/Real-CUGAN/RIFE, Anime4K, and model inference via ncnn/Vulkan.
matched fp:c7e820c6de756cb9, llm:Repository description, topics (anime4k, frame-interpolation, machine-learning, neural-networks, realcugan, realesrgan, rife, super-resoluion, upscale-video, vulkan) and README stating "machine learning-based video super resolution and frame interpolation framework", support for Real-ESRGAN/Real-CUGAN/RIFE, Anime4K, and model inference via ncnn/Vulkan.