How to Use Runpod’s Fast Stable Diffusion Template

The blog post provides a comprehensive guide on using the Fast Stable template for stable diffusion on Runpod, emphasizing that while the template is packaged by Runpod for ease of use, the team does not maintain its code. Users are advised that the template is incompatible with encrypted volumes and should ensure that the GPU/CPU utilization is at 0% before connecting to avoid errors. The template includes support for the AUTOMATIC1111 web UI and custom training models with Dreambooth, with instructions on connecting to Jupyter Lab to run the necessary notebooks. It also covers the process of selecting and downloading stable diffusion models, including the option to use ControlNet, and stresses the importance of setting a username and password for the web UI to enhance security. For additional assistance, users are encouraged to seek help from the Runpod Discord community or other stable diffusion communities.