InstructPix2Pix checkpoint fine-tuned on
MagicBrush
.
1. Env Setup
To use the HIVE checkpoint fine-tuned on MagicBrush, set up env with following the original HIVE:
Download this checkpoint into
checkpoints
folder via
cd checkpoints
# recent best checkpoint:
wget https://huggingface.co/osunlp/HIVE-MagicBrush/resolve/main/MagicBrush-epoch-000130.ckpt
Citation
If you find this checkpoint useful, please consider citing our paper:
@inproceedings{Zhang2023MagicBrush,
title={MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing},
author={Kai Zhang and Lingbo Mo and Wenhu Chen and Huan Sun and Yu Su},
booktitle={Advances in Neural Information Processing Systems},
year={2023}
}
Runs of osunlp HIVE-MagicBrush on huggingface.co
0
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
0
30-day runs
More Information About HIVE-MagicBrush huggingface.co Model
HIVE-MagicBrush huggingface.co is an AI model on huggingface.co that provides HIVE-MagicBrush's model effect (), which can be used instantly with this osunlp HIVE-MagicBrush model. huggingface.co supports a free trial of the HIVE-MagicBrush model, and also provides paid use of the HIVE-MagicBrush. Support call HIVE-MagicBrush model through api, including Node.js, Python, http.
HIVE-MagicBrush huggingface.co is an online trial and call api platform, which integrates HIVE-MagicBrush's modeling effects, including api services, and provides a free online trial of HIVE-MagicBrush, you can try HIVE-MagicBrush online for free by clicking the link below.
osunlp HIVE-MagicBrush online free url in huggingface.co:
HIVE-MagicBrush is an open source model from GitHub that offers a free installation service, and any user can find HIVE-MagicBrush on GitHub to install. At the same time, huggingface.co provides the effect of HIVE-MagicBrush install, users can directly use HIVE-MagicBrush installed effect in huggingface.co for debugging and trial. It also supports api for free installation.