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
Ah and also I'm new to this regularization images I believe that is it supposed to represent a class and what I'm curious a out it is that do the training resolution need to match the resolution of that regularization images? Caz I often see some people use the images generated from the Training model as regularization images. Is that a bad practice or regularization images doesn't matter in quality. Well the question in general is what does it actually do.
Hey Doc, question about training if you please… In the OneTrainer mega-tutorial (awesome, BTW) you repeatedly mention that, in each epoch, regularization images should be as many as the training images. This makes a lot of sense. However, in the Kohya tutorial (also great) we end up setting the same amount of repeats (1, if I'm not mistaken) for reg and training; still, if I'm not mistaken, you don't say in the Kohya tutorial that we should only use as many reg images as there are training images. The net result is that there's an imbalance of reg vs. training images.
Is it me who didn't understand the Kohya tutorial, or is it just an oversight?
BTW, an article you pinned on qwen-flux-wan-such insists that we should always use repeat 10. Do you agree with that? (I know you say rep 1 in the videos…)
I followed your tutorial on dreambooth for runpod using automatic installation files on patreon. But now I cannot find extensions such as civitai browser+ on extensions download tab
With following this video you can install and use famous Automatic1111 SD Web UI DreamBooth extension on RunPod for full DreamBooth training. Installer scripts are here : https://www.patreon.com/posts/runpod-auto-of-84716845