I'm not seeing any installation instructions on either link - what am I missing?
- create a virtual environment (Python 3.8.15 worked best)
- upgrade pip
- pip install wheel
- pip install -r requirements.txt
- and then, python setup.py install
- Had to update my XCode to use the generated mlpackage files :/
- Expand drawer with instructions and follow them to download model and convert it to Core ML format
- Run their CLI command as mentioned
I keep running into this, message is
RuntimeError: Error compiling model: "Error reading protobuf spec. validator error: The model supplied is of version 7, intended for a newer version of Xcode. This version of Xcode supports model version 6 or earlier.".
(thanks in advance, in case you see this and reply)
edit: I see from https://github.com/apple/ml-stable-diffusion/issues/7 that somebody upgraded to macos 13.0.1 and that fixed the issue for them. I've put off upgrading to Ventura so far and don't want to upgrade just to mess around with stable diffusion on m1, if it can be avoided.
I assume the environment part is what the "conda" commands on the GitHub repo readme are doing, but finding "conda" to install seems to be its own process. It's not on MacPorts, pip seems to only install a Python package instead of an executable, and getting a package from some other site feels sketchy.
What is it with ML and Python, anyway? Why is this amazing new technology being shrouded in an ecosystem and language which… well, I guess if I can't say anything nice…
I think whether you need a virtualenv depends on your system python version and compatibility of any of the dependencies, but it's also pretty nice to be able to spin up or blow away envs without bloating your main python directory or worrying that you're overwriting dependencies for a different project.
brew install miniconda
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"