Run Stable Diffusion on Apple Silicon

Prerequisites

A Mac with an M1 or M2 chip
16GB RAM or more. 8GB of RAM works, but it is extremely slow
macOS 12.3 or higher

Set up Python

You need Python 3.10 to run Stable Diffusion. Run python -V to see what Python version you have installed:

$ python3 -V                                                              
Python 3.10.6

If it's 3.10 or above, like here, you're good to go

Clone the repository and install the dependencies

Run this to clone the fork of Stable Diffusion:

git clone -b apple-silicon-mps-support https://github.com/CompVis/stable-diffusion.git
cd stable-diffusion
mkdir -p models/ldm/stable-diffusion-v1/

Then, set up a virtualenv to install the dependencies:

python3 -m pip install virtualenv
python3 -m virtualenv venv

Activate the virtualenv:

source venv/bin/activate

(You'll need to run this command again any time you want to run Stable Diffusion.)

Then, install the dependencies:

pip install -r requirements.txt

Download the weights

Go to the Hugging Face repository, have a read and understand the license, then click "Access repository".

Download sd-v1-4.ckpt (~4 GB) on that page and save it as models/ldm/stable-diffusion-v1/model.ckpt in the directory you created above.

⭐️ Enter your prompt:

python scripts/txt2img.py \
  --prompt "an electronic device with wires and wires connected to it, inspired by Mike "Beeple" Winkelmann, trending on zbrush central, oscilloscope, dan mcpharlin : : ornate, retro vintage screens, replica model, russian lab experiment, studio orange" \
  --n_samples 1 --n_iter 1 --plms

Your output's in outputs/txt2img-samples/. That's it.

It took 6 mins to run on M1 Macbook Pro 16G:

Output:

If you're struggling to get this set up, feel free to DM me.