I see, thanks. I'll disable "sample prompting" for now, seems like not yet way to supply it to kohya
I 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
Flike 5x expensive
Fput 10 and 10
Fnope but you can look my scripts
Fanalyze them
Ryeah but they are aculty avaiable and you can keep your fgfiles without being charged
Fwhat do you mean
Ri find that massedcompute gpu instances are often unavaiable
Ftrue
Fyou can use runpod meanwhile
Fbut massed compute will increase hopefully soon
Falso i am talking with another provider
Rgcp seems to have some good options as well. easy to setup
Rdigital ocean has high end serve as well but it is overkill
RH100
Fye
Rcurrentl 3.50/gpu/hr
Fso expensive
Rthe gpu costs like 20k
�the kaggle, how can I remove anything from the temp folder...I only see the working folder.
Fyou cant see but it is there
F!rm -r folder path
�ah yes, I tried downloading juggernaut11, first from huggingface, didn't get it to work, used api token and all, but from civitai it worked with wget, but forget the end part with -O "filename.safetensors", so model wasn't found in supir. the filename became the download link............haha
F
Gis it possible to convert a fine tuned flux dev model into a lora?
Dyou can extract a lora
FPatreon
Get more from SECourses: FLUX, Tutorials, Guides, Resources, Training, Scripts on Patreon
�Say i have char1.safetensors and char2.safetensors, both fine tuned flux dev character checkpoints. What will be the result of a merge, will it be some kind of average of the two looks? i.e. if char1 has blue hair and char2 has red, the merge will have purple hair or?
Fthey will bleed / mixed
�will be images look normal, or will we see monstrous looking body parts etc 
Flook normal but mixed like i have in this experiments
like i have in this experimentsFMedium
Thoroughly experimented with Fine-Tuning / DreamBooth training of Flux-dev-de-distill, PixelWave v03, Verus Vision and base FLUX Dev model…
�haha, ok, worth a try then, thank you Dr. 
�ah, you've done it!
Fthis was not merge but expect similar results
�Say I have a character with a certain tattoo on left arm, would a a few close ups of only the arm with the tattoo help the fine tuned model in generating the tattoo more correctly? Ofc most images will be full-body or half-body portraits, but would 2-4 close-up pics of the tattoo help? you only see the arm and the tattoo, on the other pics you also see the tattoo, but it will be less detailed. Anyone have experience doing this?