What about the other things like billing and so on?
What about the other things like billing and so on?
NOur billing by default is set for automatic charges. You only get charged for instance that are on the running instance page. So you can set thresholds as low as $5 for recharge amount and minimum balance amount.
NNur how Home I couldn’t deploy the gpu? It said you don’t have credits or something like that
KI was finetuning Flux, and at some point made prompt larger, and suddenly it failed when trying to generate test image after saving checkpoint. I wonder now, new prompt was only 88 words (356 characters), seems like all within limit. Maybe it was something else?
Kor maybe its just some random memory error?
Fnope not at all. my configs are designed to train any concept or even do fine tuning with large dataset
Fyou should compare
F2x wont make difference
Fduring fine tuning
Fbut if you do 2x gpu lora it will be
Fye that is why i dont recommend samples during training
Fthey can also cause out of vram or ram error
WI try to train new character checkpoint using pixelwave and failed miserably, the new trained checkpoint is so much noise and blur seem like beside of Flux Dev original model, mix or trained model is very difficult to use as a training base
Ghi @Furkan Gözükara SECourses what is the best way to train multiple person or is it best to create a model for each person ? If second
option is better what is the best aproach in confy ui to generate a single image with multiple model?
option is better what is the best aproach in confy ui to generate a single image with multiple model?
�If I have 15 great 2048x2048 face pics, should I just these for training, or must I downsize to 1024 first? Any chance the 2048 pics will give better result or not?
�Another thing, if I want the best possible lora, I won't loose details by first making fine tuned checkpoints, then converting? For this character I really want both, so was thinking of just doing fine tune, then convert the best epochs to loras.
�I now get error when using your kohya_v16 install script, can't find the gui.sh.
�massedcompute
�I figured out my error, I deleted the kohya ss folder, didn't think I needed that when I had your script 
�Foud kohya_ss on git and did a git clone inside apps folder, hope that works
Fi used it
Fbut pixelwave is overfit model
Fyes a model for each person
Fsecond question you can try regional prompting in swarmui
Ffor face i think 1024 works best
Fye script uses base installation
Kif training on de-destilled flux model in kohya, I guess prompts will simply fail to work?
Fwhat do you mean?
Fi trained on de-distilled
FMedium
Thoroughly experimented with Fine-Tuning / DreamBooth training of Flux-dev-de-distill, PixelWave v03, Verus Vision and base FLUX Dev model…
KI mean, if I use "sample prompts" in kohya ss, it will think this is Flux model, but as I have de-distilled, this needs different CGF strategy? Its like, in Comfy UI, I need different workflow, if I use de-distilled model?
Kyou probably simply did not use sample prompting when training?
Fwhat changes is
Finstead of cfg 1
Fwe use cfg 3.5
Fboth training and inference
KI see, thanks. I'll disable "sample prompting" for now, seems like not yet way to supply it to kohya ss
Kas only has "cfg scale" as an option there
Fye i dont recommend samples
KI just like to sneak-peak early on how it goes 
but I guess I can just stop training at cehckpoints, render previews manually, and resume from state if needed
but I guess I can just stop training at cehckpoints, render previews manually, and resume from state if needed
ZHello everyone! Owners of the RTX 3090 and CPUs (WITHOUT integrated graphics), has anyone managed to achieve the training speed 7.3 s/it stated in the config by @Furkan Gözükara SECourses ? Even when I don't turn anything off, I still end up using 1000GB of VRAM on Windows 11, even if absolutely no third-party programs are running. How it possible ? i got onaly 11.16 s/it with 24GB config file...
Kabout VRAM, I notice one thing. I have RTX 4090, on 24GB config, I have 6s/it; Then I swap blocks to 12GB config, and have 6.7s/it, almost no difference, but now I have lots of free VRAM and can use my PC normally alongside training. Have no idea why is that so
Kmaybe its because I have 128GB of CPU ram
Fsomething wrong
Fdid you do a fresh kohya install?
Fyou should get better than 6s actually but still not too bad
Roppions on this aws instance type https://instances.vantage.sh/aws/ec2/g6.2xlarge
The g6.2xlarge instance is in the gpu instance family with 8 vCPUs, 32.0 GiB of memory and up to 10 Gibps of bandwidth starting at $0.9776 per hour.
RThe g5.xlarge instance is in the gpu instance family with 4 vCPUs, 16.0 GiB of memory and up to 10 Gibps of bandwidth starting at $1.006 per hour.
WMy speed is about 6.5s/it
NI don’t really get it so what should I put in the fields? https://media.discordapp.net/attachments/1194438792396931174/1311703395975041074/image.png?ex=674b23fb&is=6749d27b&hm=a0a3f699f62d559dc707d0f32885528688c8be7ff59f868dbda6cf6540e28a4b&
R@Furkan Gözükara SECourses do you have intrsutions on how to install the required software on ubuntu