Instructions to use LiruiZhao/Diffree with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffree
How to use LiruiZhao/Diffree with Diffree:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
metadata
library_name: diffree
license: apache-2.0
language:
- en
pipeline_tag: image-to-image
Diffree
[🌐Project Page] [🎥 Video] [🔍 Code] [📜 Arxiv] [🤗 Hugging Face Demo]
Diffree is a diffusion model that enables the addition of new objects to images using only text descriptions, seamlessly integrating them with consistent background and spatial context.
In this repo, we provide the checkpoint for Diffree, and you can also explore and try our model via 🤗 Hugging Face demo.
Citation
If you found this work useful, please consider citing:
@article{zhao2024diffree,
title={Diffree: Text-Guided Shape Free Object Inpainting with Diffusion Model},
author={Zhao, Lirui and Yang, Tianshuo and Shao, Wenqi and Zhang, Yuxin and Qiao, Yu and Luo, Ping and Zhang, Kaipeng and Ji, Rongrong},
journal={arXiv preprint arXiv:2407.16982},
year={2024}
}