VideoCoF

[CVPR 2026 Highlight] VideoCoF: Unified Video Editing with Temporal Reasoner

Not yet testedsource: GitHubhomepagePythonApache-2.0commit 153e6bb31c59

Python, Apache-2.0 licensed. The project labels itself: diffusion models, long video editing, long video generation, video diffusion transformers, video editing, video generation and video to video.

VideoCoF has not been verified yet.

Measured by Argusic on a fresh machine every time. Every number links to its evidence.

At a glance

verdict
Not yet tested
Argusic Score
not scored yet
recorded runs
0
last tested
-
stars
210
forks
14
open issues
2
watchers
3
size
15 MB
created
last push

Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.

Run history

No recorded runs.

Topics (from GitHub)

diffusion-modelslong-video-editinglong-video-generationvideo-diffusion-transformersvideo-editingvideo-generationvideo-to-video

Embed the badge

Markdown for the project README. It links back here; terms on the terms page.

[![Tested by Argusic](https://argusic.com/badge/VideoCoF.svg)](https://argusic.com/subject/videocof)

Questions

Does VideoCoF run?
VideoCoF has not been fully verified yet. No recorded run has produced a verdict yet.
How did Argusic test VideoCoF?
On a fresh, disposable machine, with every command recorded. 0 attempts are recorded, and the full method is on the methodology page.
Where is the evidence for VideoCoF?
All 0 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.

Discussion