Forked from stable-diffusion-webui
There are mainly changed points:
- Use virtual environment to replace Anaconda. The default CUDA version of PyTorch is 11.6 (compatible with 11.3 to 11.7) and you could modify it in the line 117 of
webui.sh
. - Fix gpu switching bugs. Now you could choose other gpus in your machine freedomly by change the environment variable of CUDA_VISIBLE_DEVICES in the line 123 of
webui.sh
. - Only optimize for streamlit. The default listening address is set to
0.0.0.0
and default port is set to 18888, you could modify them in the line 123 ofwebui.sh
. - Default configurations are optimized for max efficiency (12GB to 40GB VRAM usage for the model without pruned).
@misc{rombach2021highresolution,
title={High-Resolution Image Synthesis with Latent Diffusion Models},
author={Robin Rombach and Andreas Blattmann and Dominik Lorenz and Patrick Esser and Björn Ommer},
year={2021},
eprint={2112.10752},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
@software{Li_Web-based_UI_for_2022,
author = {Li, Guanghui},
doi = {10.5281/zenodo.7228428},
month = {10},
title = {{Web-based UI for Stable Diffusion with GPU selector}},
url = {https://github.com/sxlllslgh/stable-diffusion-webui-Zuiho},
version = {1.0.0},
year = {2022}
}