currently flux is just perfect except multi subject
currently flux is just perfect except multi subject
1I think hidream is going to pull ahead once people start tuning it
Fi am adding hidream to my downloader now :d
Fhopefully will make a tutorial today
Ffor how to download use swarmui downloader
�do I still need regularization images when training checkpoint/lora for a woman using sdxl checkpoint?
JAnyone else suddenly having issues fine tuning with kohya on Massed compute? I've done this like 50 times now the past 3 months and am suddenly getting errors
Janyone have any idea what I might be doing wrong?
JLooks like somethings up with the new repo updates to the models
�Thank you Dr. And grabbing the 1024px ones will be sufficient. No point going higher. And you already cropped to make the person occupy most of the photos yes? So I don't have to run your ultimate image process on them.
�doing my first sdxl fine tune with using regimages. i had 54 training images, so it looks like it's using 55 reg images per epoch, does this look right? don't wanna waste 25h 
��Time changed to 6h. Nice
Fjust fixed today
Flooks good
F54 + 55 = 99
Fyou do only 10 extra :d
�Uh Dr. 54 + 55 = 109. Thanks 
maybe I'll try masked training too.
maybe I'll try masked training too.�Interesting, this person fine tunes a new woman by mixing 3 real women like described here. Is this possible with merging or?
PHi!
I need help with a couple of things, let’s see if someone can assist me:
For an average of 200 images in a fine-tuning using Flux, how many epochs would you recommend?
To train on a multi-GPU VM, is there anything special that needs to be done? Do I need to modify anything or is nothing required?
Thank you very much!
I need help with a couple of things, let’s see if someone can assist me:
For an average of 200 images in a fine-tuning using Flux, how many epochs would you recommend?
To train on a multi-GPU VM, is there anything special that needs to be done? Do I need to modify anything or is nothing required?
Thank you very much!
Fup to 100 i recommend. but probably you will get best around 70 80
Fmulti gpu works on 80 gb gpus for dreambooth or 48 gb for lora
Fwe have config and tutorial for it
FYouTubeSECourses
Unlock the power of FLUX LoRA training, even if you're short on GPUs or looking to boost speed and scale! This comprehensive guide takes you from novice to expert, showing you how to use Kohya GUI for creating top-notch FLUX LoRAs in the cloud. We'll cover everything: maximizing quality, optimizing speed, and finding the best deals. With our exc...
Falso i think how multi gpu linked matters. i got error on pci express multi gpu
POne of the full finetuning training I tried, I used 300 epochs with exactly 200 images. Maybe that’s too much?
Fprobably unnecessary
Fbut sometimes i go high and compare checkpoints
Fjust fixed google colab of this tutorial
FYouTubeSECourses
Our Discord : https://discord.gg/HbqgGaZVmr. How to do free Stable Diffusion DreamBooth training on Google Colab for free. If I have been of assistance to you and you would like to show your support for my work, please consider becoming a patron on 
https://www.patreon.com/SECourses
Playlist of Stable Diffusion Tutorials, Automatic1111 and ...
https://www.patreon.com/SECoursesPlaylist of Stable Diffusion Tutorials, Automatic1111 and ...
�@Furkan Gözükara SECourses what is the result of training 15 pics of woman A then 10 pics of woman B, ohwx woman as token for every pic? Result would be like a mean of their looks?
�Training images consisting of two women, but all pics are solo. 15 pics of A, 10 pics of B
Fbled
JI got the same result. If this is a specification of Flux, it is a big problem. I hope there is some way to avoid it by ingenuity during training. I will try to get the same result by using a caption file.
�i dont' fully understand, will the result be a new consistent look?
�Dr. We are hopeful that you will be the first to teach us how to fine tune on Hi Dream Dev, I hear Dev actually is better than the full version. @Furkan Gözükara SECourses
JThis is the first time I've heard of this model. What do you like about it? Where can I get more information about Chroma?
JOh, thank you very much!
SIm new on LORA training and i have a question: what is if i want to train a full body (not only face and hairs and little bite of the upper body) LORA of a person. Can i train it on as example 1350 x 1080 or 1920 x 1080 or i need to train it on 1024 x 1024 too and crop the images? And can i generate other resolutions after training? Sorry for this dumb questions but i never trained a lora and in the tutorial all is trained and cropped by 1024 x 1024. Thanks alot 
SOk, thank you. But the image sizes have no direct influence on the images I can generate later, right? Because the model only learns the object with the images, for example, and not the size. So if, for example, I have 50 images with a resolution of 1080 x 1350 that contain everything that is important for the LORA, I can also generate other resolutions later, such as 896 x 1152 (portrait), right? Because LORA training only learns the object?
Fi plan to fully research
Fyou can train different aspect ratios but best is image resolution being 1 megapixel
Falso i train 1024x1024 and can generate any aspect ratio
Fbut training with your target aspect ratio helps
Fmake sure everything is at least 1 mega pixel
Falso try to make all same aspect ratio
SOk thx all my images (i have 63 with different clothes, impressions etc.) are 1080 x 1350 if i train this, the model are not cropping them automatically to 1024 by 1024 and some details gone right? sry im really new at this thematic?
Fthat sounds weird ratio but you can train with it
Fno issues
