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Consistency Models Made Easy

active 2024-09-232026-07-15 (UTC)

Partial coverage13,981 / 16,761 hourly files (83%) · 2 absent upstream · 2,779 failed, retryable2024-09-122026-08-11 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
81
Pushes
4
Pull requests
1
Issues
5
Stars
60
Forks
6

Activity over time

Daily event counts in the loaded window

Line chart, 661 days from 2024-09-23 to 2026-07-15. Pushes: 4 total, peak 2 in a day. Pull requests: 1 total, peak 1 in a day. Issues: 5 total, peak 1 in a day. Comments: 3 total, peak 1 in a day. Stars: 60 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
Gsunshine8403
ToolKami1000
cxw-droid1000
yuanzhi-zhu1000
swimmincatt351000
hjjjs4vbmv-netizen1010

Recent activity

Latest issues, pull requests and releases

  • Pull request#26hjjjs4vbmv-netizen2026-07-15 06:59
  • Issue comment#21Gsunshine2025-02-28 03:54
    (Confirmation required), might be a bug, imgnet branch, ema's not in eval() mode at training
  • Issue#21swimmincatt352025-02-19 01:14
    (Confirmation required), might be a bug, imgnet branch, ema's not in eval() mode at training
  • Issue#20cxw-droid2025-01-14 23:10
    Configuration for FFHQ dataset
  • Issue#19yuanzhi-zhu2025-01-01 22:18
    how to sample the provided checkpoint?
  • Issue#16ToolKami2024-10-30 06:57
    Inference/sampling on model's training output .pt
  • Issue#12Gsunshine2024-10-22 03:55
    Loss Turns to NaN After Several Hundred Ticks When Using Mixed-Precision Training
  • Issue comment#15Gsunshine2024-10-22 03:53
    What if I do not have a pre-training model?
  • Issue comment#13Gsunshine2024-09-23 22:43
    Implement Automatic Mixed Precision with GradScaler to Address NaN Loss Issues

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 60 stars here means stars gained during the window, not the repo's star count.