You either use the distro for its specific use case and suffer as you overreach into other areas of expertise or get comfy switching gears if you need hybrid tasks on minimal hardware
You either use the distro for its specific use case and suffer as you overreach into other areas of expertise or get comfy switching gears if you need hybrid tasks on minimal hardware
I highly recommend taking the time to really look into btrfs for anyone interested in utilizing timeshift. There is no going back.
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
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…?
Oh the horror, signs of depression and lack of human intimacy. Welcome to the human experience
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!
Side gig you said it yourself this is why they’re going to be a thousand and one shitty dating apps they all want money they all devolve to the same thing