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[CVPR 2024] Official implementation of CVPR 2024 paper: "Inversion-Free Image Editing with Natural Language"

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sled-group/InfEdit

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Sihan Xu*, Yidong Huang*, Jiayi Pan, Ziqiao Ma, Joyce Chai
University of Michigan, Ann Arbor
University of California, Berkeley

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Setup

This code was tested with python 3.9,Pytorch 2.2.1 using pretrained models throughhuggingface / diffusers. Specifically, we implemented our method overLCM andprompt2prompt.

Quickstart

Requirements

We implemented our method withdiffusers with a similar code structure toprompt2prompt but we modified the code to adapt to newest diffusors version. You can download the requirements using

pip install -r requirements.txt

Demos

Online demos

We provide onlinedemo with Gradio app. You can play with the it or clone it to your own device!

Local Gradio demo

You can launch the provided Gradio demo locally with

python app_infedit.py

For further information about the input parameters, please refer to theHandbook.

Citation

@article{xu2023infedit,title={Inversion-Free Image Editing with Natural Language},author={Sihan Xu and Yidong Huang and Jiayi Pan and Ziqiao Ma and Joyce Chai},booktitle={Conference on Computer Vision and Pattern Recognition 2024},year={2024}}

Acknowledgements

We thank the awesome research worksPrompt-to-Prompt,LCM andMasactrl.

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[CVPR 2024] Official implementation of CVPR 2024 paper: "Inversion-Free Image Editing with Natural Language"

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