Skip to content

Video Diffusion Transformers are In-Context Learners

active 2024-12-142026-04-17 (UTC)

Partial coverage24,635 / 26,317 hourly files (94%) · 2 absent upstream · 1,681 failed, retryable2023-08-152026-08-15 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
43
Pushes
13
Pull requests
0
Issues
2
Stars
25
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 490 days from 2024-12-14 to 2026-04-17. Pushes: 13 total, peak 6 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 2 total, peak 1 in a day. Comments: 1 total, peak 1 in a day. Stars: 25 total, peak 3 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
feizc141301
Dibbidy1000
kinam02521000

Recent activity

Latest issues, pull requests and releases

  • Issue#2kinam02522025-03-31 05:28
    Question about training with videos concatenated in temporal dimension
  • Issue comment#1feizc2025-01-06 03:27
    can this be done with hunyuan video?
  • Issue#1Dibbidy2024-12-18 21:03
    can this be done with hunyuan video?

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 25 stars here means stars gained during the window, not the repo's star count.