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
I had it for kohya, as I was using kohya until we noticed the quality isn't good anymore. so I think testing this for kohya only makes sense after you have found the perfect hyperparameters again. otherwise we'd compare against something that is bad for other reasons
1.51s/it now, still slower than previous versions with the same settings but it is faster than using Gradient checkpointing on this capture is with an older version
that will be an interesting test!! a good test can be also to do a run test with xformers and spda, its a little speed up but can be very significant speed up for very large datasets and very long trainings.
LR Scheduler sdpa never worked on kohya_ss an sdxl models, seems to be an interesting concept I read that it automatically adjusts the learning rate or something like that.