Running Flux on macOS
“Learn how to install and use MFLUX to run FLUX.1 models on macOS. This guide explores generating high-quality AI images, comparing [Schnell] and [Dev] models, and enhancing outputs with LoRAs for custom styles.”
7 min read
macOS
All my posts about various macOS technologies
41 posts
macOS posts from using Apple machines as a daily platform for automation, containers, development, music workflows, and local AI experiments. Expect Homebrew, shell setup, Docker and Podman on Macs, Python environments, dotfiles, and the occasional note from rebuilding the toolbox after another OS upgrade.
Zsh Conda Environment Selector Function
Streamline your Python workflow on macOS with a custom Zsh function for quickly selecting and activating Conda environments. Simplify environment management with this interactive and efficient solution!
2 min read
Vinyl Scrobbling macOS App
7 min read
How to Install Ansible on a Mac: A Modern Approach
A guide to installing and managing Ansible on macOS using Conda, with tips for handling collections and dependencies.
3 min read
Day to Day Tools, the 2024 edition
Day-to-day tools for a macOS user in 2024: Visual Studio Code, Sublime Text, Paste, 1Password, and more. Discover essential desktop, terminal, and online services for productivity.
5 min read
Installing and running InvokeAI on macOS
A step-by-step guide on installing and running InvokeAI on macOS for local AI image generation using Conda and Python.
8 min read
Conda for Python environment management on macOS
Learn how to efficiently manage Python environments on your MacBook Pro using Conda. This comprehensive guide covers installation, creating and activating environments, installing packages, and best practices for streamlining your Python development workflow.
10 min read
Updating my dotfiles
For the first time in nearly a decade, I updated my dotfiles blog post.
3 min read
Running LLMs locally with Ollama
A step-by-step guide to installing Ollama on macOS and running large language models like llama2 and Mistral entirely offline. Learn how to interact with the models via chat, API, and even remotely using ngrok.
17 min read
