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vanzll/DiffusionART

Configuration-driven reinforcement learning for text-to-image, text-to-video, and image-to-video generation.

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Python
174
2
1 contributors
website
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Momentum

How fast vanzll/DiffusionART 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

Oct 11 – Oct 23, 2026

Stars +105 in 13 days

0102030
30

Forks +2 in 13 days

01
1

Merged PRs 0 in 13 days

01

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

Not in the Trendshift top 25 in this period

Oct 11Oct 13Oct 15Oct 17Oct 19Oct 21Oct 23
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
Sun, Oct 11, 2026+0+00
Mon, Oct 12, 2026+9+10
Tue, Oct 13, 2026+30+00
Wed, Oct 14, 2026+16+00
Thu, Oct 15, 2026+6+10
Fri, Oct 16, 2026+9+00
Sat, Oct 17, 2026+2+00
Sun, Oct 18, 2026+3+00
Mon, Oct 19, 2026+7+00
Tue, Oct 20, 2026+3+00
Wed, Oct 21, 2026+6+00
Thu, Oct 22, 2026+6+00
Fri, Oct 23, 2026+8+00
Total+105+20
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Oct 131 post
    • 📄 DiffusionART: Efficient, Stable and Scalable Reinforcement of Diffusion Models by Zhenglin Wan (@Vanzllll), Jiayu Chen et al. Replaces NFT's unstable forward reward targets with prompt-level…

      Read full on X, posted by @papersdatacode

      @papersdatacode · x.com

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