n00mkrad/flowframes
Flowframes Windows GUI for video interpolation using DAIN (NCNN) or RIFE (CUDA/NCNN) observed · 2026-08-28
Health v2 · maintenance only
70/100
- Activity 83
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2109
- days_rel: n/a
- days_push: 105
- n_releases_24m: 0
Adoption not part of the score
2030 stars · 153 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
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
application · maturity active
video-processing gui machine-learning image-processing media machine-learning windows windows python video-interpolation rife dain flavr ncnn pytorch frame-interpolation slow-motion donationware video gpu
1 source
- readme: https://github.com/n00mkrad/flowframes · fetched 2026-08-28 · 26571c2641a9
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| n00mkrad/flowframes | main | 70 |
For agents
markdown · JSON · MCP: product_card(name="n00mkrad/flowframes")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem