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
still a little new here. I am trying to wrap my head around why epochs are halved if using classification images in kohya lora training (shown here https://youtu.be/TpuDOsuKIBo?t=1456) should i just not worry the "why" about it? lol also, im doing a training right now, training myself as the subject. 22 images, did 40 repeats, 10 epochs, so i thought that should equal out to 8,800 steps, but its actually showing a total of 17,600 (double) is that because i have class images?
#Kohya SS web GUI DreamBooth #LoRA training full tutorial. You don't need technical knowledge to follow this tutorial. In this tutorial I have explained how to generate professional photo studio quality portrait / self images for free with Stable Diffusion training.
#Kohya SS web GUI DreamBooth #LoRA training full tutorial. You don't need technical knowledge to follow this tutorial. In this tutorial I have explained how to generate professional photo studio quality portrait / self images for free with Stable Diffusion training.
yes i used the one linked on SECourses and a few others here and there. kohya is very widely supported . most tutorials i've noticed are for it, rather than the webui
I figured epoch is more important, but then how would I decid how many repeats? :/ ugh I feel that dream booth extension is simpler, but it always gives us trouble.
i got bf16 working. i'm not sure why training would just hang up the other day. came back to it with fresh eyes a day later and it just works this time. cool. style training is going well. i'm doing lion with cosine 3 restarts. te lr of 1e-6 and unet lr 2e-5. i guess i'm supposed to use less but the cosine schedulling keeps dipping it towards 1e-6
Discord : https://bit.ly/SECoursesDiscord. Torch 2 / Pytorch 2 is now supported along with new DreamBooth Automatic1111 Web UI extension. 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