I recently switched from a CPU-only version to this repo release 1.13: https://github.com/lstein/stable-diffusion

The original txt2img and img2img scripts are a bit wonky and not all of the samplers work, but as long as you stick to dream.py and use a working sampler, I have had good luck with k_lms, then it works great and runs way faster than the cpu version.

Works great on 32gb ram but I'm honestly tempted to sell this one and get a 64gb model once the m2 pros come around. This is capable of eating up all the ram you can throw at it to do multiple pictures simultaneously.

In my setup at least it runs essentially in CPU mode since there is no CUDA acceleration available and metal support is really messy right now. So while quite slow I don't run into memory issues at least. It runs much faster on my desktop GPU but that has more constraints (until I upgrade my personal 1080 to a 3090 one of these days).

There was a long thread last week. It’s honestly pretty good if you follow the instructions. 30-40 seconds/image.

Yeah, I followed the instructions on a M1 Macbook Pro (Monterey 12.5.1) and it worked without extra effort. 30-40 seconds per image. I have 32GB but image generation doesn’t even use half of it. The hard part has been to generate prompts that do what I want.