When I export photos or videos from Photos.app, I want the file’s Created Date (Created Date in Finder) to be the time the photo or video was taken. Alas, this is not the way Photos works, and setting the date turned out to be more challenging than expected.

Want to check your connected bluetooth device battery level on a mac? Here is one way: using xbar (I am aware there are a bunch of other xbar plugins to do something similar, but I’ve been using my own script before I ever used xbar).

Did you know that macOS has a built-in game performance HUD with a frames per second (FPS) counter, similar using RivaTuner Statistics Server (RTSS) to display a GPU performance overlay in Windows? Here’s how to enable the Metal Performance HUD.

Some time ago, I explained how I setup “Global hotkeys for macOS with skhd”. I mentioned running it automatically upon login via the macOS Launch Daemon but did not detail the steps. So here they are...

I have been using UTM on M1/M2 macs for all my virtualization needs for a while, but never posted much because it practically works out of the box. Since around October 2022, UTM v4.0.9 on macOS Ventura allows Apple Hypervisor Virtualization Virtual Machines to use Rosetta 2.

I was recently researching external storage for my Mac, looking for the “fastest” and most “reliable”. There are so many options, and of course, so many different price points! It’s all very confusing: NGFF M.2? NVMe M.2? USB 3.1 Gen 1 (5 Mbps)? USB 3.1 Gen 2 (10 Gbps)? USB 3.1 Gen 2x2 (20 Gbps)? Thunderbolt 3? Thunderbolt 4? USB 4.0?

Epic Diffusion recently came to my attention, a high-quality merge of various models by John Slegers: “Epîc Diffusion is a general purpose model based on Stable Diffusion 1.x intended to replace the official SD releases as your default model. It is focused on providing high quality output in a wide range of different styles...” Figured I’d give it a spin.

I recently tried Lite XL v2.1.0, a forked and updated version of the original rxi/lite, “A lightweight text editor written in Lua”, on MacOS ARM. Here are some findings.

Recently (around 14 December 2022), Apple’s Machine Learning Research team published “Stable Diffusion with Core ML on Apple Silicon” with Python and Swift source code optimized for Apple Silicon (M1/M2) on Github apple/ml-stable-diffusion. Here I’m trying it out on a MacBook (though the code also works on iPhones and iPads)...

Did you know the macOS Printer service (Common UNIX Printing System, or CUPS) keeps a copy of every single print job ever? Here’s how to change this default behaviour.

I refactored my previous Stable Diffusion code, to clean up, OO it a little, and add new features like tiling, upscaling, PNG metadata. As I mentioned before, I don’t understand AI/ML... but I do understand programming! So here is my new, more elegant Simple-SD v1.0 Python script.

I have more ideas for Stable Diffusion. My nights and weekends are consumed! This time: For inpainting, why create a mask image manually, when A.I. can automatically build a mask from a text prompt? Someone much smarter has already published a paper (arXiv:2112.10003 [cs.CV]), with source code, to do just this!

More Stable Diffusion! This time attempting to add inpainting / masking based on my previous code, to merge both txt2img.py and img2img.py capabilities, disregarding the out-of-box inpainting.py code, which does not have parameters for positive or negative prompts. Keyword being attempting...

I’ve been playing around with the Stable Diffusion scripts a little (to be exact, Ben Firshman’s version). To help me understand the script, I decided to re-write it the way I prefer to use it... either breaking or optimizing it in the process :P

Following from my previous post, AI-generated images with Stable Diffusion on an M1 mac: This time, using the image-to-image script, which takes an input “seed” image, in addition to the text prompt as inputs. In this case the model will use the shapes and colors in the input image as a base for the output AI-generated image.

There has been a lot of buzz about Stable Diffusion for text-to-image synthesis, which saw its Public Release around 22 Aug 22. You can read more on the Stability.AI blog and try it at Hugging Face. What’s groundbreaking is is that is open source, with a pre-trained downloadable model and modest system requirements, so anyone can try it on their own computer... anyone... like me!

Here is a macOS Automator script to watermark a PDF, and also set metadata like author and title. Followed by a more advanced script to do all that an also set an owner password and access permissions... auto-magically.

I’m never quite satisfied with the various methods of creating keyboard shortcuts (hotkeys) on macOS... Here I go again, this time using a small open source utility called skhd - a simple hotkey daemon for macOS.

It’s been over a year (or two) since three major browsers enabled HTTP/3 using the QUIC protocol over UDP. Chrome and Edge enabled HTTP/3 by default in April 2020 and Firefox followed “shortly after” in April 2021. I am not sure - does Safari in macOS Monterey 12.5, released July 2022, enable HTTP/3 by default?

In my last post, “Re-mapping physical function keys on MacBook Pros” I used the hidutil tool to re-map the function keys on a Mac without a touchbar. I’ve since created a script to more easily apply changes.