Awesome
DesignEdit: Multi-Layered Latent Decomposition and Fusion for Unified & Accurate Image Editing
Stable Diffusion XL 1.0 Implementation
Project Page Paper Hugging Face Demo
✨ News ✨
- [2024/4/4] We have supported the Gradio Application on Hugging Face 🤗, encouraging you to design online without the need for local deployment.
- [2024/3/28] We release the code for DesignEdit! Let's design together! 😍
Setup
The required Python version is 3.10.12. , and the Pytorch version is 2.0.1. The code's framework is built on Prompt-to-prompt and Stable Diffusion.
Additional required packages are listed in the requirements file.
conda create -n DesignEdit python=3.10.12
conda activate DesignEdit
pip install -r requirements.txt
Notice that our model is entirely training-free💪!!! The base model is the Stable Diffusion XL-1.0.
Demo
We have created an interactive interface using Gradio, as shown below. You only need to simply run the following command in the environment we previously set up:
python design_app.py
🖱️Usage
- We have 5 function pages for different editing operations.
💡Object Removal
💡Zooming Out
💡Camera Panning
💡Object Moving, Resizing and Flipping
💡Multi-Layered Editing
- You can follow the "Usage" instructions within each page.
- For each page, we also provide some interesting examples for you to try.
-
Notice that the Multi-Layered Editing page, which uses a multi-layered representation for multiple editing tasks, can achieve the same results as those of Object Removal and Object Moving, Resizing, and Flipping in a general representation.
-
Moreover, we have added the "Mask Preparation" page for you to utilize SAM or sketching to combine several masks together. This may be useful when you are on the Multi-Layered Editing page.
More Details
If you are interested in exploring more details about the model implementation, we recommend checking out model.py
. Pay special attention to the register_attention_control()
function and the LayerFusion
class.
Applications
For more applications, we kindly invite you to explore our project page and refer to our paper.
💡Object Removal
You can choose more than one object to remove on the Object Removal page, and it is also possible to mask irregular regions for removal.
<div align="center"> <img src="docs/removal.jpg" width="700"/> </div>💡Object Removal with <span style="color:red;">Refine Mask</span>
Using remove mask directly may cause artifacts, the refine mask indicates regions that may cause artifacts. You can turn to Object Removal page to explore.
<div align="center"> <img src="docs/refine.jpg" width="700"/> </div>💡Camera Panning and Zooming Out
You can use the Camera Panning and Zooming Out page to achieve editing with different scales and directions.
<div align="center"> <img src="docs/pan.jpg" width="700"/> </div> <div align="center"> <img src="docs/zoom.jpg" width="700"/> </div>The illustration of image adjustment and mask preparation is shown below.
<div align="center"> <img src="docs/pan+zoom.jpg" width="700"/> </div>💡Multi-Object Editing with Moving, Resizing, Flipping
You can achieve single object moving, resizing, flipping in Object Moving, Resizing and Flipping page, for multi-object editing like swapping and addition, you can turn to Multi-Layered Editing page.
<div align="center"> <img src="docs/multi.jpg" width="700"/> </div>💡Cross-Image Composition
By choosing one image as the background and specifying the position, size, and placement order of the foreground images, we can achieve cross-image composition. You can try examples on the Multi-Layered Editing page.
<div align="center"> <img src="docs/cross.jpg" width="700"/> </div>💡Typography Retyping
Typography retyping refers to the specific use of design elements, which you can achieve on the Multi-Layered Editing page.
<div align="center"> <img src="docs/retype.jpg" width="700"/> </div>Acknowledgements
Our project benefits from the contributions of several outstanding projects and techniques. We express our gratitude to:
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Prompt-to-Prompt: For innovative approaches in prompt engineering.
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Proximal-Guidance: For their cutting-edge inversion technique, significantly improving our model's performance.
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DragonDiffusion: For inspiration on Gradio interface and efficient SAM API integration.
Each of these projects has played a crucial role in the development of our work. We thank their contributors for sharing their expertise and resources with the community.
BibTeX
@misc{jia2024designedit,
title={DesignEdit: Multi-Layered Latent Decomposition and Fusion for Unified & Accurate Image Editing},
author={Yueru Jia and Yuhui Yuan and Aosong Cheng and Chuke Wang and Ji Li and Huizhu Jia and Shanghang Zhang},
year={2024},
eprint={2403.14487},
archivePrefix={arXiv},
primaryClass={cs.CV}
}