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# Flowframes - Windows GUI for Video Interpolation
Flowframes Windows GUI for video interpolation - Supports DAIN NCNN as well as RIFE Pytorch and NCNN implementations.
Flowframes is **open-source donationware**. Builds are released for free on itch after an early-access period on Patreon. This repo's code is complete and does not "paywall" experienced users who want to compile the program themselves.
## [itch.io (Free Builds)](https://nmkd.itch.io/flowframes) | [Patreon (Latest Builds)](https://www.patreon.com/n00mkrad) | [Discord](https://discord.com/invite/eJHD2NSJRe)
However, **I do not provide support for self-built versions** as I can't guarantee that the code of this repo is stable at any given moment. Refer to the releases if you want to get the most stable source code.
Flowframes Windows GUI for video interpolation - Supports RIFE (Pytorch & NCNN), DAIN (NCNN), and FLAVR (Pytorch) implementations.
Flowframes is **open-source donationware**. Builds are released for free on itch after an early-access period on Patreon. This repo's code is complete and does not "paywall" experienced users who want to compile the program themselves or want to contribute to the development.
However, **I do not provide support for self-built versions** as I can't guarantee that the code of this repo is stable at any given moment.
![img](https://i.imgur.com/HHZxUYo.png)
## Installation
## Quick Installation
* Download on [itch](https://nmkd.itch.io/flowframes) or, for the most recent beta versions, on [Patreon](https://www.patreon.com/n00mkrad). This repo does not provide builds.
* Extract the 7z archive (7-zip or similar software required!) to any folder
* Run Flowframes.exe
Starting with 1.18, the installer has been removed, and Flowframes is instead distributed as an all-in-one archive. Download the "Full" file if you are using a Maxwell/Pascal/Turing GPU and want to use embedded Pytorch, or "Full-RTX3000" if you have an Ampere GPU. Use "NoPython"/"Slim" if you run an AMD GPU or want to use your system Python/Pytorch installation.
## Using A Pytorch Implementation