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
depending on seed, cfg, etc... sometimes a model is better at 3.000 steps, other times at 20.000 steps, other times using filewords, other times not using it...
maybe i shoauldn't be using euler_a to compare? when comparing checkpoints at different steps... they produce very different stuff and it's hard to compare
Class images? If using class images, aren't you supposed to have significantly more? Last time I used class images in training it was smthg like 100 per training image, and then 100 or 150 steps per epoch. Oof I'm a little rusty off the top of my head.
Also, I found your videos on many GitHub pages, such as this one: https://github.com/bmaltais/kohya_ss or Runpod page. I don't think other YouTubers are featured as frequently as you, which demonstrates how high your credibility is.
I tried regional prompter and while it worked somewhat with the horizontal/vertical divides it quickly failed when I tried it with masking, especially since I was trying to use loras for specific parts of the regions