<@205854764540362752> hmm i still seem to be getting the error
@Furkan Gözükara SECourses hmm i still seem to be getting the error
Fyou have 3 gpus?
Jyes
Fwell your setup wrong
Fi can professionally help
For you can limit to 1 gpu
Feasily
Fset CUDA_VISIBLE_DEVICES=0
Fadd this to .bat file
Jyea, i understand how to limit it to one gpu, but i would like to set it up for 3 gpu's
Fare your gpus same?
Jis that do-able?
Fwhat are they
Jtheyre all 4090's
Fye i think should work
Jwhat would i need to change to get that to work?
FDon't know. I have to connect your pc and figure out
Jim not sure that my workplace would be comfortable with that, we deal with a lot of proprietary information, is there any other way to go about it?
L@Josh It's the pytorch package I think, all the libraries in python are a hellish mess.
You can try to find a package that contains the distributed compilation code, you can set your configuration to single_gpu or you can move it into WSL.
I think going WSL is the best option
You can try to find a package that contains the distributed compilation code, you can set your configuration to single_gpu or you can move it into WSL.
I think going WSL is the best option
JLYou use Win11 ?
Lyou can google for pytorch, windows, nccl .. maybe you find a working package or you can compile it.
Or on Windows 11 you install WSL-2 with Ubuntu or Debian and then use some linux/WSL tutorial. It should be easier to train that way and faster - nvidia cuda drivers work better in the linux environment
Or on Windows 11 you install WSL-2 with Ubuntu or Debian and then use some linux/WSL tutorial. It should be easier to train that way and faster - nvidia cuda drivers work better in the linux environment
Fi dont think so necessary
Fkohya already uses accelerator
Factually i should test this on my pc
Fi have rtx 3060 and 3090
LI asked about Win11 because it has a significantly better WSL support with native linux kernels, makes the choice easier
LNot for long, we're working on AI-supported OpenBSD drivers for all famous NVidia etc. drivers
LAfter that, why would one want to run Linux at all 
LEverybody: OpenBSD what's that?
Choose OpenBSD for your Unix needs. OpenBSD -- the world's simplest and most secure Unix-like OS. A safe alternatve to the frequent vulnerabilities and overengineering of Linux and related software like NGiNX & Apache (https://openbsd.org/papers/httpd-asiabsdcon2015.pdf), OpenSSL, iptables/nftables, systemd, BIND, Postfix, Docker and so on.
Choose OpenBSD for your Unix needs. OpenBSD -- the world's simplest and most secure Unix-like OS. A safe alternatve to the frequent vulnerabilities and overengineering of Linux and related software like NGiNX & Apache (https://openbsd.org/papers/httpd-asiabsdcon2015.pdf), OpenSSL, iptables/nftables, systemd, BIND, Postfix, Docker and so on.
LAlso yeah! Since this is
#aiHas anybody tried and can vouch for https://github.com/BoxcarsAI/boxcars? I guess it's kinda like LangChain but the next step in the evolution (it's written in Ruby too so)
GitHub
Building applications with composability using Boxcars with LLM's. Inspired by LangChain. - GitHub - BoxcarsAI/boxcars: Building applications with composability using Boxcars with LLM&#...
DHey there, can someone help with my TensorRT exporter please? I want to use it for my SDXL Dreambooth model, but I just can't generate an engine for it, it fails with the following error:
I've searched around and people are saying that I should be on the 'dev' branch, which I am. Also I tried removing the --medvram
I installed a fresh installation of the A1111 with the .bat file from the Patreon, the same with TensorRT.
I'm using a 3060Ti 8GB VRAM
ERROR:root:Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0! (when checking argument for argument mat1 in method wrapper_CUDA_addmm)I've searched around and people are saying that I should be on the 'dev' branch, which I am. Also I tried removing the --medvram
I installed a fresh installation of the A1111 with the .bat file from the Patreon, the same with TensorRT.
I'm using a 3060Ti 8GB VRAM
Fupdate to the latest version automatic1111
Fremove --medvram and --lowvram
Fincrease your virtual RAM if you dont have sufficient RAM
DI think when I removed --medvram it was the same error and not anything about RAM. Let me check again
Fthose optimizations make it load
Fsome part gpu
Fsome part cpu
Falso use latest release
F1.7
Fi would try a fresh install
DWait, I think it's actually doing something. It was the same install that I tried earlier, but now removing the --medvram does some progress. I just want to bash my head against a wall
D@Furkan Gözükara SECourses So I was able to generate the TensorRT engine now. But I guess I can't use it because it was generated without --medvram, and now switching back to --medvram and using the engine is just 100 times slower
Fye your vRAM low
Fbut you can use SD 1.5 models
Show does it look like with pixart dreambooth training? any news?
Fstill didnt have chance to try yet
Sthanks, looking forward to it