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.
- Integrate with SDXL.
Although we have obtained preliminary approval for open-sourcing the code, the code review process was stuck at some point due to internal circumstances. We are sorry for the delay, and we will release it as soon as the code review process completes.
For any questions on this project, please contact Yujun ([email protected]) and Jun Hao ([email protected])
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.