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Dataset · Text to image

MGFlow-T2I

by Haoyang Shi shy0423/MGFlow-T2I

Synthetic image-prompt pairs used as the reference distribution for MGFlow text-to-image post-training in The same reference images support both image-only and joint image-text matching.

Rows—
Configurations—
Size122.6 GB
License—
AccessPublicly accessible
Monthly Downloads93

Dataset Card

Synthetic image-prompt pairs used as the reference distribution for MGFlow text-to-image post-training in The same reference images support both image-only and joint image-text matching. Model checkpoints and fitted reference distributions: The dataset contains 301,706 synthetic images at 512×512 with English prompts. All images were generated with the official distilled [FLUX.2 [klein] 4B](https://huggingface.co/black-forest-labs/FLUX.2-klein-4B) model using four sampling steps and guidance scale 1. Reference construction follows the procedure used by iRDM and AMFD: generate 24 candidates per caption, and retain the three with the highest PickScore. GenEval correctness test, considering up…

Excerpt from the card by Haoyang Shi.

Details

Repository
shy0423/MGFlow-T2I
Publisher
Haoyang Shi
Task category
Text to image
Tags
mgflow, synthetic, image
Size category
100K<n<1M
Languages
en
Revision
9feb5744ecd355470ff3024a673302c7ae26315d
Last updated
2026-10-02

Files

129 files, 122.6 GB in total.

Data126 files · 122.6 GB
Documentation2 files · 5.7 KB
Repository1 file · 2.6 KB
Every file
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manifest.jsonData30.2 KB—
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.gitattributesRepository2.6 KB—

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Download from Haoyang Shi

Released by Haoyang Shi through its official repository on Hugging Face.

Models Trained on This Dataset

  • Trained on (disclosed)MGFlow