Video2x
Video2x applies machine learning for video super-resolution and frame interpolation in a framework hosted on GitHub.
About Video2x
Video2X is an open source framework for video super-resolution and frame interpolation. It provides filtering (upscaling) and frame interpolation modes, with support for Anime4K v4, MPV-compatible GLSL shaders, and Real-ESRGAN, Real-CUGAN, and RIFE models via ncnn and Vulkan.
It is distributed for Windows and Linux, with container images for Linux and macOS and an option to run on Google Colab. Precompiled builds require a CPU with AVX2 support and a Vulkan-compatible GPU.
Key features
- Video upscaling in filtering mode using machine learning models
- Frame interpolation mode for increasing video frame rate
- Support for Anime4K v4 and MPV-compatible GLSL shaders
- Support for Real-ESRGAN, Real-CUGAN and RIFE via ncnn and Vulkan
- Windows installer with GUI and Linux packages and AppImage
- Container images for Linux and macOS using Docker or Podman
Best for: People on compatible Windows or Linux systems who want to upscale video or interpolate frames with open source tools.
Good for
- Open source framework hosted on GitHub
- Available for Windows and Linux, with container images for Linux and macOS
- Processing requires only disk space for the final output
Watch out for
- Precompiled binaries require CPUs with AVX2 support
- Requires a Vulkan-compatible GPU
- Google Colab sessions limited to maximum 12 hours per session
Video2x at a glance
- Website
- github.com/k4yt3x/video2x
- Category
- Design & Creative › Video Editing & Animation
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
Guides for Video Editing & Animation
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SmoothVideo Project converts video frame rates in real time to create smoother playback.
Waifu2x Extension GUI upscales video, images, and GIFs and interpolates video frames using several listed models.
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Video2x FAQ
What hardware is required to run Video2X?
Precompiled builds require AVX2 CPUs such as Intel Haswell or newer and AMD Excavator or newer, plus a Vulkan-compatible GPU such as NVIDIA Kepler or newer, AMD GCN 1.0 or newer, or Intel HD Graphics 4000 or newer.
How can I install Video2X on Linux?
Packages are available via AUR and archlinuxcn for Arch Linux, an AppImage for other distributions, and container images for use with Docker or Podman.
Can I use Video2X without a local GPU?
Yes, a Google Colab notebook is available that provides NVIDIA T4, L4, or A100 access for a maximum of 12 hours per session.
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