# n00mkrad/flowframes

Flowframes Windows GUI for video interpolation using DAIN (NCNN) or RIFE (CUDA/NCNN)

Repository: https://github.com/n00mkrad/flowframes
Canonical: https://ross.abutalabs.com/products/flowframes
Language: Python
License: GPL-3.0
License Family: copyleft
Topics: video-interpolation, pytorch, ncnn, dain, rife, gui
Last push: 2026-05-20T22:21:51+00:00

## Health v2 (maintenance only)
Score: 70/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 83, release rhythm 35, longevity 100
- inputs: {"age_days": 2109, "days_push": 105, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2030, forks 153 (observed 2026-08-28T04:06:07.195947+00:00)

## What it is
Flowframes is a Windows GUI application for AI-based video frame interpolation, supporting RIFE (Pytorch & NCNN), DAIN (NCNN), and FLAVR (Pytorch) implementations. It lets users increase video frame rates or create smooth slow motion without command-line knowledge, with sensible defaults and automatic dependency installation.

## Use cases
- interpolate video to 60fps from 30fps footage
- create smooth slow motion from a video
- smooth out low-framerate animation with frame deduplication
- run RIFE video interpolation without using the command line
- upscale frame rate of gameplay or camera footage
- interpolate GIF or PNG sequences with transparency

## When to choose
- you want a point-and-click GUI for AI frame interpolation on Windows
- you have an Nvidia GPU for Pytorch models or any Vulkan-capable GPU for NCNN
- you want to interpolate 2D animation with duplicate-frame removal
- you want automatic dependency setup and reasonable defaults

## When to avoid
- you need Linux or macOS support - it is Windows-only
- you want a headless CLI or batch pipeline tool for servers
- you need guaranteed stability and official support for self-compiled builds
- you lack a modern GPU and cannot tolerate slow CPU-only processing

## Facets
- artifact type: application
- maturity: active
- function: video-processing, gui, machine-learning, image-processing
- domain: media, machine-learning, windows
- platform: windows, python
- tags: video-interpolation, rife, dain, flavr, ncnn, pytorch, frame-interpolation, slow-motion, donationware, video, gpu

## Member repositories
- n00mkrad/flowframes (main) score 70

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:07.195947+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:59:35.577379+00:00, confidence not recorded.
  - readme: https://github.com/n00mkrad/flowframes (fetched 2026-08-28T04:06:07.195947+00:00, sha 26571c2641a9)
- Data as of 2026-08-30T08:39:29.467469+00:00.