| # sd-webui-cads | |
| ### An implementation of the method in *CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling* in Automatic1111 WebUI. | |
| CADS greatly increases diversity of generated images by adding scheduled noise to the conditioning at inference time. | |
|  | |
| ### PR's are welcome! | |
| ## Feature / To-do List | |
| - [x] SD XL support | |
| - [x] SD 1.5 support | |
| - [x] Hi-res fix support | |
| - [x] Support restoring parameter values from infotext (Send to Txt2Img, Send to Img2Img, etc.) | |
| - [x] Write infotext to image grids | |
| - [x] X/Y/Z plot support | |
| - [ ] ControlNet support | |
| ## Credits | |
| - The authors of the original paper for their method (https://arxiv.org/abs/2310.17347): | |
| ``` | |
| @inproceedings{ | |
| sadat2024cads, | |
| title={{CADS}: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling}, | |
| author={Seyedmorteza Sadat and Jakob Buhmann and Derek Bradley and Otmar Hilliges and Romann M. Weber}, | |
| booktitle={The Twelfth International Conference on Learning Representations}, | |
| year={2024}, | |
| url={https://openreview.net/forum?id=zMoNrajk2X} | |
| } | |
| ``` | |
| - @udon-universe's extension templates (https://github.com/udon-universe/stable-diffusion-webui-extension-templates) | |