Official implementation of DreamO: A Unified Framework for Image Customization
- 2025.05.08: release codes and models
- 2025.04.24: release DreamO tech report.
# clone DreamO repo
git clone https://github.com/bytedance/DreamO.git
cd DreamO
# create conda env
conda create --name dreamo python=3.10
# activate env
conda activate dreamo
# install dependent packages
pip install -r requirements.txtpython app.pyYou can try DreamO demo on HuggingFace.
This project strives to impact the domain of AI-driven image generation positively. Users are granted the freedom to create images using this tool, but they are expected to comply with local laws and utilize it responsibly. The developers do not assume any responsibility for potential misuse by users.
If DreamO is helpful, please help to ⭐ the repo.
If you find this project useful for your research, please consider citing our paper.
If you have any comments or questions, please open a new issue or contact Yanze Wu and Chong Mou.