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
how about a video to find out how many images are necessary to train an image via dreambooth. I tried training with 24,36,43 images and really can't tell what is the "sweet spot"...
would be very usefull to have a list of optimal paremeters for dreambooth traning somewhere, will be easier to see it compared to searching thorugh the videos
Yes, and what they are for. I've tried researching and found that it's either to include or exclude information but nothing definitive on which so maybe it's both?
Meaning if I have a data set of images with a yellow car in too many of them I would use captions to tell the ai "yellow car" to make sure it doesn't try to train the yellow car? Hopefully that makes sense.