Then, install the dependencies: pip install -r requirements.txt (You'll need to run this command again any time you want to run Stable Diffusion.) Then, set up a virtualenv to install the dependencies: python3 -m pip install virtualenvĪctivate the virtualenv: source venv/bin/activate Run this to clone the fork of Stable Diffusion: git clone -b apple-silicon-mps-support Clone the repository and install the dependencies You might need to reopen your console to make it work.
Now if you run python3 -V you should have 3.10 or above. Then, install the latest version of Python: brew update First, install Homebrew if you haven't already. The easiest way to do that is with Homebrew. Otherwise, you'll need to install Python 3.10. If it's 3.10 or above, like here, you're good to go! Skip on over to the next step. Run python -V to see what Python version you have installed: $ python3 -V !11338 You need Python 3.10 to run Stable Diffusion. 8GB of RAM works, but it is extremely slow. It's much easier to set up and shouldn't need to compile anything because it uses binary wheels. One thing we've done on top of previous work: use pip instead of Conda to install dependencies. We're merely messengers of their great work. Getting it working on an M1 Mac's GPU is a little fiddly, so we've created this guide to show you how to do it.Īll credit for this goes to everyone who contributed to this fork of stable-diffusion on GitHub and figured it all out in this GitHub thread. As well as generating predictions, you can hack on it, modify it, and build new things. You can run Stable Diffusion in the cloud on Replicate, but it's also possible to run it locally.
That's what has caused the abundance of creations over the past week. Stable Diffusion is open source, so anyone can run and modify it.
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