Sounds awesome! Unfortunately, it says that it requires a GPU. Please consider making it accessible to people without a GPU, for example using OpenVino like this (command line only) project does:
What you're asking for isn't entirely possible for local installs. Yes, you can run SD on a cpu, but each image takes minutes at a time vs seconds via gpu.
For example, it's not possible to run SD on my 2 year old 16 intel MacBook Pro. This is because PyTorch doesn't have support for the slightly older AMD gpu on board. There's a newer framework called RocM for AMD cards that allows them to work with recent versions of PyTorch.
Given all that, the requirements to have a Nvidia card is entirely acceptable, and for the most part a technical requirement.
Minutes isn't really that big a deal though, one could give it a list of prompts to round-robin through and come back in the morning to a huge collection of images to explore. It's just a different workflow.
Ironically, cpu support would be faster for me (in terms of throughput, at least) because I have on the order of a thousand zen cores put only a couple CUDA compatible GPUs with enough ram to run SD.
https://github.com/bes-dev/stable_diffusion.openvino
Thanks!