Software Engineering Courses (SECourses)•3y ago

@Dr. Furkan Gözükara You should make a quick video on this: Nvidia has released a fix for dealing wi

@Dr. Furkan Gözükara You should make a quick video on this:
Nvidia has released a fix for dealing with Stable Diffusion slowdowns occurring due to Shared Memory feature they introduced some while ago...
https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/11062
https://nvidia.custhelp.com/app/answers/detail/a_id/5490
This was a while back, but I found out today. I believe a lot of people are still on older drivers due to this issue...

GitHub

[Resolved] NVIDIA driver performance issues · AUTOMATIC1111 stable-...

Update (2023-10-31) This issue should now be entirely resolved. NVIDIA has made a help article to disable the system memory fallback behavior. Please upgrade to the latest driver (546.01) and follo...

NVIDIA Support

B0nd•12/23/23, 3:18 PM

under 3D application settings (with the new driver) find your python.exe and apply the following setting

veldonlives•12/23/23, 3:22 PM

2 hardware performance questions:

1. I recently upgraded from an 2060 to a 3090 (24GB VRAM) - is there anything I’m supposed to do to make sure A1111 and ComfyUI go as fast as possible (maybe I need to reinstall if they do some kind of optimizations during install)
2. I have 16GB RAM - will this be a bottleneck of some kind?

Vveldonlives 2 hardware performance questions: 1. I recently upgraded from an 2060 to a 3090...

Xylber•12/23/23, 3:33 PM

1. Disable "driver fallback" option on nVidia panel (if you get OUt of memory CUDA error, enable it again) ////// get rid of "--lowvram" command

Vexmachina•12/23/23, 4:31 PM

When using accelerate and sdxl_train.py from the commandline, instead of using the Kohya GUI, how do you specify the "epoch" or "max train epoch" parameters? I don't see any commandline argument being provided that seems related to these, and I can't seem to find any reference to this by googling

Screenshot_2023-12-23_at_11.30.24_AM.png

Max•12/23/23, 4:34 PM

Hello lads! It's always me, an error generator. I was following this video https://www.youtube.com/watch?v=16-b1AjvyBE&t=1883s, and everything was fine, until you get to the calculation of the steps. Everything coincides except the last digit to be multiplied. For him it's 1300 / 1 / 1 * 1 * 2 while for me instead of 2, there's always 1. Solutions?

geno1237341•12/23/23, 4:34 PM

same issues

MMax Hello lads! It's always me, an error generator. I was following this video https...

shortdwarf•12/23/23, 4:37 PM

The 2 for him is because he is using regularization images. If you are not it’s okay to not get the x2

Sshortdwarf The 2 for him is because he is using regularization images. If you are not it’s ...

Max•12/23/23, 4:41 PM

Okay, thank you!

VVexmachina When using accelerate and sdxl_train.py from the commandline, instead of using t...

shortdwarf•12/23/23, 4:45 PM

Epoch is listed as “—lr_scheduler_num_cycles=“x””

shortdwarf•12/23/23, 4:46 PM

Not sure about max but you can find this by setting it to a number that doesn’t occur elsewhere in the command line and then print the command and you’ll see the number you set it to

vp•12/23/23, 4:55 PM

anyone know the outcome of triton on windows? I know it released recently and was undergoing testing and implementation.

Sshortdwarf Epoch is listed as “—lr_scheduler_num_cycles=“x””

Vexmachina•12/23/23, 5:01 PM

Awesome, thank you!

Max•12/23/23, 6:03 PM

Sorry guys, I was trying to train a checkpoint using a custom model (GHArt/Realistic_Stock_Photo_V1.0_xl_fp16), but it gives me the following error. Can you help me, please? Thank you!

sainthell•12/23/23, 6:39 PM

Hello... Might not be the right place to post this, but if I have 160 images of a character, what epoch and repeats is the best place to start for a lora?(using kohya)

EyeSpyBekoAI•12/23/23, 6:39 PM

Hey there community.
A quick random question for you. Besides for perhaps training SDXL via dreambooth, have you ever seen a need for more than 24gb vram gpu in your projects or adventures? I’m trying to cut down cloud computing to a minimum so seeing what’s logical and what isn’t to buy.

100Sachen80•12/23/23, 8:04 PM

Boy... Training on DB with a 3060 12GB VRAM works with your "best" settings, but it takes 8 hours for 10 instance pics and 2000 ref pics. Holy sh...... But i tried with your "12GB VRAM" suggestions that take only about 1 hour, and the results are....meehhhhhh.

100Sachen80•12/23/23, 8:28 PM

Looking forward to the results after the 8 hours