stable-diffusion VS stable-diffusion

No, sorry, but there's a whole bunch of one-click things now, I think?

I'm running it on Windows 10 using (a modified version of) https://github.com/bfirsh/stable-diffusion.git and Anaconda to create the environment from their `environment.yaml` (all of which was done using the normal `cmd` shell). Then to use it, I activate that env from `cmd` and switch into cygwin `bash` to run the `txt2img.py` script (because it's easier to script, etc.)

I am using the bfirsh version. And yes, I run "pyhthon scripts/txt2imp.py" to generate an image.

Specifically regarding the first option above, I see that the procedure clones the repository from: https://github.com/bfirsh/stable-diffusion.git

Just done a run on my 3080 under Windows using https://github.com/bfirsh/stable-diffusion.git and it's about 8 iterations/sec when nothing else is using CPU or GPU.

I've cloned this repository on my M1 Mac: https://github.com/bfirsh/stable-diffusion/tree/apple-silicon-mps-support

Boom - nice. Here's a fork with that: https://github.com/bfirsh/stable-diffusion/tree/lstein

Requirements are "requirements-mac.txt" which'll need subbing in the guide.

We're testing this out with a few people in Discord before shipping to the blog post.

SD on an Intel mac with Vega graphics runs pretty well though — I think it ran at something like ~3-5 iterations/s for me, which is decent. I ran either https://github.com/magnusviri/stable-diffusion or https://github.com/lstein/stable-diffusion which have MPS support

https://github.com/magnusviri/stable-diffusion/commit/d0b168...

Copying this change fixed seeds on M1 for me.

You should be able to run it on a CPU. Maybe try this version. If MPS is supported on your Mac you can check this out.

A group of open source hackers forked Stable Diffusion on GitHub and optimized the model to run on Apple's M1 chip, enabling images to be generated in ~ 15 seconds (512x512 pixels, 50 diffusion steps).

Magnusviro [0], the original author of the SD M1 repo credited in this article, has merged his fork into the Lstein Stable Diffusion repo [1], and you can now run Lstein fork with M1 as of a few hours ago.

This adds a ton of functionality - GUI, Upscaling & Facial improvements, weighted subprompts etc.

This has been a big undertaking over the last few days, and I highly recommend checking it out.

[0] https://github.com/magnusviri/stable-diffusion

You can run it on an M1. Using a macbook M1 pro max with 32Gb I get 512x512 in about 50 seconds. use this branch https://github.com/magnusviri/stable-diffusion/tree/apple-mps-support

I had this error too, and I tried a ton of things to get cudatoolkit to install, without any luck. This fork has an environment-mac.yml file that actually got it working on my M1 Max: https://github.com/magnusviri/stable-diffusion/tree/apple-silicon-mps-support

But when I run it (locally, using the Mac M1 port), every time I run it creates a different image.