init release

Author: Yidong Huang

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README.md

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 # Inversion-Free Image Editing with Natural Language
 
-### Code for the demo is currently available at [Huggingface](https://huggingface.co/spaces/sled-umich/InfEdit/tree/main).
-
-We are still working on the github version.
 
 ### [Project Page](https://sled-group.github.io/InfEdit/) | [Paper](http://arxiv.org/) | [🤗Demo🔥](https://huggingface.co/spaces/sled-umich/InfEdit) | [Handbook](https://github.com/sled-group/InfEdit/tree/website)
 
 Sihan Xu*, Yidong Huang*, Jiayi Pan, Ziqiao Ma, Joyce Chai  
 University of Michigan, University of California, Berkeley
 
 ![icon](infedit_gif.gif)
+
+## Setup
+This code was tested with python 3.9, [Pytorch](https://pytorch.org/) 2.2.1 using pretrained models through [huggingface / diffusers](https://github.com/huggingface/diffusers#readme). Specifically, we implemented our method over [LCM](https://huggingface.co/docs/diffusers/api/pipelines/latent_consistency_models) and [prompt2prompt](https://github.com/google/prompt-to-prompt). 
+
+## Quickstart
+
+### Requirements
+We implemented our method with [diffusers](https://github.com/huggingface/diffusers#readme) with a similar code structure to [prompt2prompt](https://github.com/google/prompt-to-prompt) but we modified the code to adapt to newest diffusors version. You can download the requirements using 
+```base
+pip install -r requirements.txt
+```
+
+
+### Demos
+
+
+
+
+**Online demos**
+
+We provide online [demo](https://huggingface.co/spaces/sled-umich/InfEdit) 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
+
+```bash
+python app_infedit.py
+```
+
+For further information about the input parameters, please refer to the [Handbook](https://github.com/sled-group/InfEdit/tree/website).
+
+## Citation
+
+```bibtex
+@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 works [Prompt-to-Prompt](https://github.com/google/prompt-to-prompt), [LCM](https://huggingface.co/docs/diffusers/api/pipelines/latent_consistency_models) and [Masactrl](https://github.com/TencentARC/MasaCtrl).