Damn, it was clean as hell. Will be missed

Fedora seems similar to clear Linux os, on the idempotent/deterministic scale. Swupd was quite fricticious, not very intuitive to users

Is this like moving from flavor to flavor or release name to release name? Cause going from Linux mint Xia back to Virginia is a pain in the dick.

GaN power delivery babyyyy

I have a couple different units. Both recommendable, sub $100 range. Magnetic flaps are handy for slapping them to sheet metal like case sides. One is a trifold, the other a bifold. They stack and sit side by side nicely in many arrangements. Usb-c power pass through lets you Daisy chain a single high current input, they’re pretty slick. I’ve had both of the screens and a gl.inet travel router on a single power feed Daisy chained in series, no issues. Oh man, touch screen though? Have no experience unfortunately.

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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

How bad are your crashes? Mine will either freeze the system entirely or crash the current lightdm session, sometimes recovering, sometimes freezing anyway. Needs power cycle to rescue. What is the DE you speak of? openbox?

Well I finally got the nvidia card working to some extent. On the recommended driver it only works in lowvram. medvram maxes vram too easily on this driver/cuda version for whatever reason. Does anyone know the current best nvidia driver for sd on linux? Perhaps 470, the other provided by the LM driver manager…?

These both work on a running mounting OS partitions?
Old school and inconvenient, I’d just boot up a live usb and gparted a copy so no files are in use. Rsync [frontends] for maintenance if needed while booted into the OS.

I’ll definitely be keeping my nvidia card for ai/ml /cuda purposes. It’ll live in a dual boot box for windows gaming when necessary (bigscreen beyond, for now). II am curious to see what 16gb of amd vram will let me get up to anyway.

We are not alone then. Thanks for your input!