increase block swap count
increase block swap count
TI think its torch 2.5 it works on 2.4 - but slow. increase block swap to 36 didn't help. But that was the culprit 1024 vs 768. Must just be slightly short vram. Or have something to do with source images being PNG? is your set jpg?
Fno image doesnt matter
Ftorch 2.4 works but way slower
Fso maybe that is why
TI am trying with a smaller source image set to see if makes a difference. 15 vs 30 images.
Tso even with 5 images 1024/1024 fails, but 768/768 works with any number of images on 8GB torch 2.5 . I even changed OS to windows 11 to try to figure out.. maybe its a memory leak in torch 2.5 and older nvidia.
Fvery possible
Fi got to sleep now
TFYI precompiled pytorch - does not require cuda installed on windows. it comes built in.. I have completely removed VS2022 and cuda from my system during troubleshooting
Fcuda is used only when you compile something
Flike insightface
Fxpose
Fetc
X4060 ti (16gb) vs 4070 (12gb)
which is faster when we consider about lora traning and stuff, I mean like just having a big vram means faster train?
which is faster when we consider about lora traning and stuff, I mean like just having a big vram means faster train?
Fif VRAM is not enough you have to sacrifice a lot of speed
XI see
Xoh and was wondering if we got 2gpus, can we like combine or do smthing in training?
Fnope sadly you cant
Fyou can maybe multi GPU SDXL train
For SD 1.5
Fwith 2x 16gb GPUs
Fbut it may not bring any speed
Fon windows
Xah sad...
Di keep trying to install kohya with flux per instructins but after i copy paste the first step, it ends with this error "Copying accelerate config file to: /root/.cache/huggingface/accelerate/default_config.yaml
Traceback (most recent call last):
File "/workspace/kohya_ss/kohya_gui.py", line 6, in <module>
import gradio as gr
ModuleNotFoundError: No module named 'gradio'
root@c9368cea187b:/workspace# "
Traceback (most recent call last):
File "/workspace/kohya_ss/kohya_gui.py", line 6, in <module>
import gradio as gr
ModuleNotFoundError: No module named 'gradio'
root@c9368cea187b:/workspace# "
Fget a fresh pod
Freinstall
Fhe just fixed errors
SI'm trying to train a lora/dreambooth to make simple icon type images of a particular style, and having watched the tutorials and looked at the sample outputs, I'm not sure if this project is better suited to dreambooth or lora training. The attached image is an example of one of the training images.
D@Furkan Gözükara SECourses what template do i choose
Ffine tuning better for everything
Fyou can do 100%
Ffor which one?
SI keep seeing people saying that it's best to do no captioning when training a style, but it seems odd to me -- would I not want to give it at least a minimal caption, for example "[triggerword], cow, bat wings"
![Dazzastrous [4090]](https://cdn.discordapp.com/avatars/871389071686135838/c4a5f4d81d9eeb18d856295d692e2c07.webp?size=40)
D"with pig snout"
Fflux has internal captioning mechanism
Dget to bed doc lol
![Dazzastrous [4090]](https://cdn.discordapp.com/avatars/871389071686135838/c4a5f4d81d9eeb18d856295d692e2c07.webp?size=16)
Fstill got some time :d
Fi need to start few trainings
Ddo u have blue light protection in your lenses ?
SThe only way I've gotten it to work close to the way I want it to is using the flux gym on default settings, but I would prefer to use Kohya -- based on the preferred results from flux gym, should I increase the number of repeats (from 1) and decrease the number of epochs (from 200)
Fi am not sure how do we check
Fi dont think it would make diff
Dthey asked me at the opticians
Fsince you dont use reg images
Fi really dont remember :d
Fbut should have
Syou can get a little blue laser to check -- they send them automatically with zenni glasses