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nicolas-dufour/miro

Code for MIRO: MultI-Reward cOnditioned pretraining improves T2I quality and efficiency

#AI image generation
Visit GitHub
Python
42
1
0
MIT License
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Momentum

How fast nicolas-dufour/miro 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

Sep 4 – Oct 30, 2026

Stars +2 in 57 days

01
1

Forks +0 in 57 days

01

Merged PRs 0 in 57 days

01

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

Not in the Trendshift top 25 in this period

Sep 4Sep 12Sep 20Sep 28Oct 6Oct 14Oct 22Oct 30
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
Fri, Sep 4, 2026+1+00
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Total+2+00
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. May 201 post

    • We also expand MIRO beyond training from scratch, it works also as a post-training framework! Applying multi-reward conditioning during fine-tuning on an existing base model yields the a robust,…

      Read full on X, posted by @nico_dufour

      @nico_dufour · x.com

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