just installed some old hdd to have more space for .safetensors. damn this is slow. don't switch fro
just installed some old hdd to have more space for .safetensors. damn this is slow. don't switch from NVMe to HDD 
CIt works on photo real images, because model replaces all photo real men with the trained data.
But it doesnt learn what 'ohwx' tag means. So try adding "Cartoon image of ohwx man as Aladdin" see if it still keeps some of the ohwx features
But it doesnt learn what 'ohwx' tag means. So try adding "Cartoon image of ohwx man as Aladdin" see if it still keeps some of the ohwx features
Fit is painful
Fgonna check in a moment
Flooks like man prompt is strongly overwritten
Fprobably we need reg images
Fye lora is too powerful it made model overfit
Freally hard:D
F
![Dazzastrous [4090]](https://cdn.discordapp.com/avatars/871389071686135838/c4a5f4d81d9eeb18d856295d692e2c07.webp?size=40)
DJeff Goldblum vibes
![Dazzastrous [4090]](https://cdn.discordapp.com/avatars/871389071686135838/c4a5f4d81d9eeb18d856295d692e2c07.webp?size=16)
Ftrue
FPatreon
Get more from SECourses: Tutorials, Guides, Resources, Training, FLUX, MidJourney, Voice Clone, TTS, ChatGPT, GPT, LLM, Scripts by Furkan Gözü on Patreon
Fit really struggles
Fstylized outputs
Ftime to start new 8 trainings :d
SDr Furkan i hope everything is ok , STILL NOT OPTION FOR 16 gigas VRAM GPUS?
Fyep i am messaging kohya
Fhere you can see
FGitHub
Replace SD3Tokenizer with the original CLIP-L/G/T5 tokenizers.
Extend the max token length to 256 for T5XXL.
Refactor caching for latents.
Refactor caching for Text Encoder outputs
Extract arch...
Extend the max token length to 256 for T5XXL.
Refactor caching for latents.
Refactor caching for Text Encoder outputs
Extract arch...
Fit uses 18 gb
Fbut here try it
Flowest_vram.json5.2KB
Ftell me your step speed / shared vram suage
Cthats actually not too bad though, it atleast took some of your likeness, not sure whats going on with my snow white prompt
Fi am doıing more tests
�Have you tried setting Lora strength to like 1.4? I've noticed sometimes that's what can really force it with some loras
Fi am using 1.0. it is already too powerful
F
FRaw vs eyeglasses prompt - it is interesting that FLUX is learning me without eyeglasses when not prompted. This was never case with SDXL
�Perhaps due to captioning with the dataset?
Fsame i just use ohwx man
Ftest reg images impact too
Frunning a big test for an hard prompt
�oh ok yeah that makes sense now. I just figured probably one of your training images didn't have the glasses described in the caption, but then again the frames of the glasses aren't super bold and noticeable from a distance so that could be another reason
Ddoes anyone know if normal alternating via prompt such as [x|y] where it alternates between x and y each step is still usable in a natural language style model like flux?
Smaybe i will wait more, so the process can make it with a gpu 16 vram, maybe onetrainer make support for flux
Fall images has eyeglasses and only ohwx man :d
Fflux has wildcards
Fif kohya fixes also
Feular normal vs karras
Ftesting all combinations
Fkarras make huge diff and make it more real
Fwill post entire grid on patreon
Scant wait the config files and tutorials. 
Fadding configs already :d
Snow just seen, from all the png kpeg attachments that there is one zip file, .. I downloaded.
I have the latest branch kohya.
now i will start the training.
I have the latest branch kohya.
now i will start the training.
Sany recommendation for 4090 and beginner?
S1e_04_bf16_128_rank_full_bf16 ? maybe?
FLook very top written best ones
HWhat guidance you using