| base_model: | |
| - stable-diffusion-v1-5/stable-diffusion-v1-5 | |
| library_name: diffusers | |
| license: mit | |
| Model of [**HelloMeme**](https://songkey.github.io/hellomeme/) | |
| [**Project Page**](https://songkey.github.io/hellomeme/ | |
| ) | [**Code Page**](https://github.com/HelloVision/HelloMeme) | [**Arxiv**](https://arxiv.org/abs/2410.22901) | [**ComfyUI**](https://github.com/HelloVision/ComfyUI_HelloMeme) | [**Demo**](https://www.modelscope.cn/studios/songkey/HelloMeme) | |
| **BibTeX:** | |
| ```bibtex | |
| @misc{zhang2024hellomemeintegratingspatialknitting, | |
| title={HelloMeme: Integrating Spatial Knitting Attentions to Embed High-Level and Fidelity-Rich Conditions in Diffusion Models}, | |
| author={Shengkai Zhang and Nianhong Jiao and Tian Li and Chaojie Yang and Chenhui Xue and Boya Niu and Jun Gao}, | |
| year={2024}, | |
| eprint={2410.22901}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.CV}, | |
| url={https://arxiv.org/abs/2410.22901}, | |
| } | |
| ``` |