Yujun Shi*
Jun Hao Liew*^
Hanshu Yan
Vincent Y. F. Tan
Jiashi Feng
National University of Singapore | ByteDance
This is a research project, NOT a commercial product. Users are granted the freedom to create images using this tool, but they are expected to comply with local laws and utilize it in a responsible manner. The developers do NOT assume any responsibility for potential misuse by users.
- Release inference code and model. We are now going through the open source procedure in the company. We will release the code and model after the procedure is completed (expected 2-4 weeks).
- Integrate with SDXL.
For any questions on this project, please contact Yujun (shi.yujun@u.nus.edu) and Jun Hao (junhao.liew@bytedance.com)
If you find our repo helpful, please consider leaving a star or cite our paper :)
@article{shi2024instadrag,
title={InstaDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos},
author={Shi, Yujun and Liew, Jun Hao, and Yan, Hanshu and Tan, Vincent YF and Feng, Jiashi},
journal={arXiv preprint arXiv:2405.13722},
year={2024}
}
Source image samples are collected from unsplash, pexels, pixabay. Also, a huge shout-out to all the amazing open source diffusion models, libraries, and technical reports.