but if you use a more realism oriented fine tuned base flux model
but if you use a more realism oriented fine tuned base flux model
Fit may also help
0I actually just tried that but it keeps giving me an error. Specifically I'm using ultrarealfinetunev4 as the base model and its saying
KeyError: 'time_embed.0.weight'
Chatgpt is saying:
"You're running into a common issue: the UltraRealFineTune .safetensors file is not a full Stable Diffusion checkpoint — it's missing key components, particularly UNet time embedding weights, which causes this error:
KeyError: 'time_embed.0.weight'"
KeyError: 'time_embed.0.weight'
Chatgpt is saying:
"You're running into a common issue: the UltraRealFineTune .safetensors file is not a full Stable Diffusion checkpoint — it's missing key components, particularly UNet time embedding weights, which causes this error:
KeyError: 'time_embed.0.weight'"
0so assuming I cannot use that model do you have any reccomendations?
Fchat gpt or alikes will know nothing
Fare you training stable diffusion
For flux?
0in this case I did everything the same as your Flux dreambooth finetune video except I changed the base model, so flux im assuming? I noticed that it will work when the "flux1" box is checked but not otherwise
Fyes it is flux
FUltraRealFineTune is flux model? how many gb?
0V4 Alright, so what’s new in this version? I cranked up the aesthetic dial, added more diversity in ages, and improved how it handles Asian feature...
0it's over 22gb so I figured it would be the full model
0should I check the flux1 box and train or will that mess it up?
Fyes this should work
FFull Model fp16 (22.17 GB)
Fif not working you should open an issue thread for kohya to fix
Fto support model loading format
0I'll go ahead and train it with the "flux1" checked I'm assuming that means im telling kohya its a flux1 model. we will see what happens.
0thanks for your help
Fyou are welcome
Uyes, but can we use reference images/start frame and end frame?
Wan 2.2 is out
Wan 2.2 is out
Fye following it. you can discuss in #flux-stable-diffusion-such
Fhello sorry to ask but what training parameters should i use for training 56 image model
Falso if im out of space currently on massed compute how can i add gpu without losing all of my data?
Fsame as our config
Fstill do up to 200 epoch if you have time
Fsadly you cant as far as i know @NicB
S@Dr. Furkan Gözükara If I want to do a full finetune of Flux is this the best tool? https://github.com/bmaltais/kohya_ss/ Do you have a sample configuration? Thanks!
GitHub
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Fyes we have
FYouTubeSECourses
If you want to train FLUX with maximum possible quality, this is the tutorial looking for. In this comprehensive tutorial, you will learn how to install Kohya GUI and use it to fully Fine-Tune / DreamBooth FLUX model. After that how to use SwarmUI to compare generated checkpoints / models and find the very best one to generate most amazing image...
Fup to date configs here both lora and dreambooth / fine tuning : https://www.patreon.com/posts/click-to-open-post-used-in-tutorial-112099700
Patreon
Get more from SECourses: FLUX, Tutorials, Guides, Resources, Training, Scripts on Patreon
JNeed good data augmentation tips for making a more realistic dataset of an AI person. Specifically more skin detail on the face
Jbest EPOC for 39 images?
Jmy images are between 1536x1536 and 2152 x 2152 res
is that an issue? flux will downscale, but is there a way I can get more out of these higher rep images in my fine-tuned model?
is that an issue? flux will downscale, but is there a way I can get more out of these higher rep images in my fine-tuned model?
Fdo at least 200 and compare
F1024 working best
Fbigger res not helping much
Fyou can agument your data and add zoomed in face images etc
SHey, can we try a full finetune of flux.krea using the same method ? Or not yet ?
Fprobably
Fi need to test
SDoes anyone know if I can expect much faster iteration speed (48GB config file) with a H100 rather than a L40S for a full dreambooth finetune ? Thanks
Fa bit faster yes
Fthe full model uses like 28 gb vram
Fso both fits into vram
SThanks
SIm using this preset configs: "Batch_Size_7_48GB_GPU" -- what GPU on runpod do you reccomend for this: L40s kinda sucks
[DreamBooth Flux Krea]
[DreamBooth Flux Krea]
FA100 faster than L40S
For H100
Fif you want better speed
