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 still see no reason to train a full fintetuning and get a 23GB model compared to a few MB for a LoRA. I already have around 20 LoRA's' and the results are very good. But will it be possible to extract a loRA's from the finteuning model? because that could be interesting.
whether finetunes are still better than direct Lora/Dora training with Flux I think is currently unknown. With SDXL it was the case. It could well be that a high-rank Dora is now good enough and you won't see a difference anymore.
now Flux training became fun instead of a chore. you can run 3000 steps in 1 hour, which is equivalent to 6000 steps on SDXL because SDXL benefited from regularization images a lot. so Flux is now faster to test than SDXL, because SDXL couldn't handle low resolution training
I was trying to find a fast generation method like this and thought it might be Schnell, but apparently Schnell is not good for personal photo generation: https://x.com/levelsio/status/1833562269281616287