Video2X
The facts below are what the maker publishes about Video2X, checked and dated. Our editors have not written about it yet.
The facts
Each one read from Video2X's own pages, with the date it was checked.
What it does
- Acceleration
- Real-ESRGAN, Real-CUGAN, and RIFE run via ncnn and Vulkan.checked 7 Oct 2026
- Cloud use
- The project describes using Video2X on Google Colab, with free GPU sessions limited to 12 hours per session.checked 7 Oct 2026
- Colab
- The project offers a Google Colab notebook that can use free NVIDIA T4, L4, or A100 GPUs for up to 12 hours per session.checked 7 Oct 2026
- Containers
- Container images are available through GitHub Container Registry for deployment on Linux and macOS using Docker or Podman.checked 7 Oct 2026
- Container support
- Container images are available through GitHub Container Registry for deployment on Linux and macOS, using Docker or Podman.checked 7 Oct 2026
- Custom shaders
- It supports custom MPV compatible GLSL shaders.checked 7 Oct 2026
- Disk space
- The project says processing needs no additional disk space beyond space for the final output.checked 7 Oct 2026
- Documentation
- The documentation covers building, installing, using, and developing Video2X, and notes that some pages are under construction.checked 7 Oct 2026
- Hardware requirements
- Precompiled binaries require an AVX2 capable CPU and a Vulkan capable GPU.checked 7 Oct 2026
- Help and documentation
- The project links documentation for building, installing, using, and developing Video2X, plus a Telegram discussion group where users can ask developers questions.checked 7 Oct 2026
- Intended users
- The project describes its Colab option as useful for people who do not have a powerful GPU of their own.checked 7 Oct 2026
- Interpolation models
- It supports RIFE models through ncnn and Vulkan.checked 7 Oct 2026
- License
- Video2X is licensed under GNU AGPL version 3.checked 7 Oct 2026
- Processing modes
- It supports video upscaling through filtering and frame interpolation.checked 7 Oct 2026
- Processing storage
- The project says processing requires no additional disk space beyond space for the final output.checked 7 Oct 2026
- Purpose
- Video2X is a machine learning based framework for video super resolution and frame interpolation.checked 7 Oct 2026
- Support
- The project points users to a Telegram discussion group to ask questions and talk with developers.checked 7 Oct 2026
- Supported models
- It supports Anime4K v4, Real-ESRGAN, Real-CUGAN, and RIFE models.checked 7 Oct 2026
- Upscaling models
- It supports Anime4K v4, Real-ESRGAN, Real-CUGAN, and custom MPV-compatible GLSL shaders.checked 7 Oct 2026
The company
- Founded
- 2018checked 28 Sep 2026
Where it runs
- Linux
- Linux packages are listed for Arch Linux, and an AppImage is available for other distributions.checked 7 Oct 2026
- Linux availability
- Linux packages include Arch AUR options and a universal AppImage for other distributions.checked 7 Oct 2026
- Windows
- The project provides a Windows installer and a graphical interface.checked 7 Oct 2026
- Windows release
- The repository links a Windows installer and describes a GUI for Windows.checked 7 Oct 2026
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