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
Can't you control it by resizing the images to be either 1024px by longest or shortest side? You still keep the max resolution to 1024x1024, but the images are then bucketed more naturally.
Hey Doc!! I have done a first fine tune at 200 / 3000 epochs/steps and I would like to train it further. If I use my last epoch as my starting model in Dreambooth, is there anything, any settings where I am bound to my first training? Or can I change anything I want (LR, dataset, etc..?) for my next 200 epochs? Can I even train it on a different Instance and class prompts to add more characters?
I used 24GB_GPU_23150MB_10.2_second_it_Tier_1.json for my first 200 epoch which has a LR of 4e-06, does it make sense to lower it as I fine tune further to avoid over fitting? Do you look at the loss or the samples to see if you're about to overfit?.
@Furkan Gözükara SECourses The extract lora from the finetune only works on the base model I used to create the finetune from. Any image created with a different model using this lora is just static.