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Linum-AI/pjit-21k

2B-parameter pixel-space text-to-image model (Pyramid-JiT) trained for $21K

#AI image generation
Visit GitHub
Python
48
1 contributors
Apache License 2.0
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Momentum

How fast Linum-AI/pjit-21k is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Nov 5 – Nov 7, 2026

Stars +9 in 3 days

0510
7

Forks +0 in 3 days

01

Merged PRs 0 in 3 days

01

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Nov 5Nov 6Nov 7
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Thu, Nov 5, 2026+0+00
Fri, Nov 6, 2026+7+00
Sat, Nov 7, 2026+2+00
Total+9+00
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Nov 71 post
    • Two brothers just did something you'd expect from a massive AI lab. They trained their own 2-billion-parameter AI image generator. Their GPU compute bill? Just $21,038. Not a fine-tune of an existing…

      Read full on X, posted by @heynavtoor

      @heynavtoor · x.com

  2. Nov 61 post
    • someone trained a decent text-to-image model for $21,038. then open-sourced it. → P-JiT: 2B params, Apache 2.0 weights + code → 8,415 H100-hours total, a real recipe if you want to train your own →…

      Read full on X, posted by @johan_builds

      @johan_builds · x.com