Hello everyone. I am Dr. Furkan Gözükara. PhD Computer Engineer. SECourses is a dedicated YouTube channel for the following topics : Tech, AI, News, Science, Robotics, Singularity, ComfyUI, SwarmUI, ML, Artificial Intelligence, Humanoid Robots, Wan 2.2, FLUX, Krea, Qwen Image, VLMs, Stable Diffusion
@Saxon How many image repeats did you use in kohya? Default is 40 in kohya, 10 in fluxgym. You can look into the flux gym folder and see the settings used for your lora.
I think that is a major difference, not enough time to learn the style. I have noticed this myself. The major drawback about fine tuning for styles, I think, is that it needs more image repeats, but I haven’t done enough testing yet. Was the dataset 1:1?
You really need to look at the training log in flux gym, all the settings are different. I believe it uses Adam8bit, and a slightly faster learning rate. I also think training is in fp8.
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...
I went through and changed all the settings I could find, but I wasn't sure how to change the network_dim or network_args. I'm also not clear on the epochs, so I just set it to 16 because I'm not sure what the distinction is between epochs and max_train_epochs.
I believe network dim id lora rank and alpha, which should be changed from 128 to what you see there. Epoch is like a turn, max epoch is max turns you want. The kohya_ss GitHub wiki tells a bit more about the settings.
i see what it was -- I was matching the settings to the dreambooth tab -- network dim is in the lora tab. Is there a reason that I'm too naive to know that these settings would not work well in dreambooth?
hey everyone, when i am finetuning stable diffusionXL 1.0 base on a woman's picture. why does the base model always have that indian clothing style. so the problem is that when i am tuninng my model, the model can only perform good while i generate a picture of the character i have trained in indian clothes. Need help here