checks notes Shareholders?!

why tho. money?

Meanwhile, in the engineering dungeon

You’ll never gues what I put off for a month because it locked up the device every time it performed one. Some karmic god is being a real Bitch today. Imaging a new sd card while I spin up rtl_433 on another pi to keep my dopamine levels up

Just attempted adding the mqtt addon to hass since migrating to a raspberry pi. Will only bootloop without ever providing a gui. observer shows all green when it is alive. Logs are unhelpful. I just wana sleep man.

Zwave is superior for not clogging up the 2.4GHz airspace, both are darling to use with hass. Wifi is a close third for usability but suffers from bogging local wifi/airspace without interoperability without a controller of some kind being online. Zigbee/Zwave both can function somewhat even with the local server offline

Asrock has done me well for budget builds, asus is what I happened to upgrade to for midrange. Honestly being dramatic, just haven’t cared for GB historically.

Good detective work! Adding liquefying thermal pads as a reason to avoid Gigabyte.

The pattern says liquid but the colors say heat damage. Both?

That sure seems likely. A neodymium waved around in the right place would confirm.

cinnamon, gnome, xfce? Many flavors of Mint

So many in-n-out haters.

Been living with my parents for almost two years again. Thought about renovating a connex as a living space for breakfast just yesterday. Might snack on my last marbles tonight.

Ah, thanks. It is my AMD card causing crashes with SD in my experience. NVIDIA is native to CUDA hence the stability.

What a treat! I just got done setting up a second venv within the sd folder. one called amd-venv the other nvidia-venv. Copied the webui.sh and webui-user.sh scripts and made separate flavors of those as well to point to the respective venv. Now If I just had my nvidia drivers working I could probably set my power supply on fire running them in parallel.

I had that concern as well with it being a new card. It performs fine in gaming as well as in every glmark benchmark so far. I have it chalked up to amd support being in experimenntal status on linux/SD. Any other stress tests you recommend while I’m in the return window!? lol

Thank you!! I may rely on this heavily. Too many different drivers to try willy-nilly. I am in the process of attempting with this guide/driver for now. Will report back with my luck or misfortunes https://hub.tcno.co/ai/stable-diffusion/automatic1111-fast/

version for whatever reason. Does anyone know the current best nvidia driver for

I might take the docker route for the ease of troubleshooting if nothing else. So very sick of hard system freezes/crashes while kludging through the troubleshooting process. Any words of wisdom?

Since only one of us is feeling helpful, here is a 6 minute video for the rest of us to enjoy https://www.youtube.com/watch?v=lRBsmnBE9ZA

I started reading into the ONNX business here https://rocm.blogs.amd.com/artificial-intelligence/stable-diffusion-onnx-runtime/README.html Didn’t take long to see that was beyond me. Has anyone distilled an easy to use model converter/conversion process? One I saw required a HF token for the process, yeesh