For example, 1.45.1 and 1.45.2 were point releases of Rust 1.45.0, while 1.46.0 and 1.47.0 both had no point releases. Sometimes a regression slips into a stable release, and the team releases a "point release" containing fixes for that regression. The Rust team releases a new version every six weeks, bringing new features and bugfixes on a regular basis. You can follow issue #73908 to track the work needed to bring Apple Silicon support to Tier 1. Note that at the time of writing this blog post the aarch64-apple-darwin compiler is at Tier 2 target: precompiled binaries are available starting from Rust 1.49 (currently in the beta channel), but no automated tests are executed on them. Rustup is now natively available for the new Apple M1 devices, allowing you to install it on the new Macs the same way you'd install it on other platforms! What's new in rustup 1.23.0 Support for Apple M1 devices If you don't have it already, you can get rustup from the appropriate page on our website. Rustup will also automatically update itself at the end of a normal toolchain update: rustup update If you have a previous version of rustup installed, getting rustup 1.23.0 is as easy as closing your IDE and running: rustup self update Rustup is the recommended tool to install Rust, a programming language that is empowering everyone to build reliable and efficient software. You can push custom models to Replicate if you want to host your Stable Diffusion creations.The rustup working group is happy to announce the release of rustup version 1.23.0.For inspiration, take a look at Deforum's Colab notebook which can do a whole bunch of stuff, like image-to-image, interpolation, videos, and so on. You might want to dig into the source code to see what you can modify.You can run Stable Diffusion with an API if you just want it running in the cloud.If you're struggling to get this set up, ask in our Discord for some help.Your output's in outputs/txt2img-samples/. prompt "a red juicy apple floating in outer space, like a planet" \ Now, you can run Stable Diffusion: python scripts/txt2img.py \ Go to the Hugging Face repository, have a read and understand the license, then click "Access repository".ĭownload 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. If you're seeing errors like Failed building wheel for onnx you might need to install these packages: brew install Cmake protobuf rust 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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