Downloads · 30 days
62
65% of all-time downloads
bigshanedogg/ImgEdit-Judge
ImgEdit-Judge is a image-text-to-text model from bigshanedogg. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
Unmodified re-host of ImgEditJudge, the LLM-as-judge model for ImgEdit-Bench image-editing evaluation. Published for users who cannot access the original local checkpoint. The weights here are byte-identical to the au…
Downloads · 30 days
62
65% of all-time downloads
All-time downloads
96
Public
Parameters
8.3B
16.6 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors16.6 GB · 100%
From the Hugging Face model README
Unmodified re-host of ImgEdit_Judge, the LLM-as-judge model for ImgEdit-Bench image-editing evaluation. Published for users who cannot access the original local checkpoint. The weights here are byte-identical to the authors' release — this repository only mirrors them for accessibility.
Given a source image, an edited image, and an edit instruction + rubric, the model rates the edit on a 1–5 scale across per-category rubric dimensions (used to compute the ImgEdit-Bench "Add / Adjust / Extract / Replace / Remove / Background / Style / Hybrid / Action" scores). It is a fine-tune of Qwen2.5-VL-7B.
sysuyy/ImgEdit under the
ImgEdit_Judge/ subfolder (there is no standalone model repo from the authors).Qwen/Qwen2.5-VL-7B-Instruct
(Apache-2.0).All credit belongs to the original ImgEdit authors (PKU-YuanGroup) and the Qwen team.
Please cite the original work (author list on the paper page):
@article{imgedit2025,
title = {ImgEdit: A Unified Image Editing Dataset and Benchmark},
journal= {arXiv preprint arXiv:2505.20275},
year = {2025},
url = {https://arxiv.org/abs/2505.20275}
}