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
@Dr. Furkan Gözükara . seeming ONETRAINER is better than koyass , so for wierd shape of products, can ONETRAINDER solve problems, I mean to create images as much as possible like the exact real product
@Dr. Furkan Gözükara If a dataset isnt ideal (images a little further, a little pixelated,etc). What would you reccomend to do to it to "clean' it before training?
@Alexm really? for example the clothes has several pockets and shows a pattern of several birds here and there, so like this, such kind of clothes is in too much details
gotcha thank you , is there an optimal number of images? I've seen anywhere from 5 to 15 . i seen some sources saying 12 images, some say 5, etc. (for SDXL training dreambooth)
would u say that (generally speaking) if the image dataset is of high quality => its better to use more images when training but if the image dataset is not of high quality => better to use less images and (lower resolution training)
@Dr. Furkan Gözükara You said some things will be fixxed in new supir one click installer for runpod right? Do you know when you will release it or do you edit the file in the patreon?
@Dr. Furkan Gözükara do you know kohya update « Fix issue with vae path validation » and « Add new setup menu option to install Triton 2.1.0 for Windows » does for training optimisation?
there is a paper about a zero shot sam detection but cant find anything ported to comfy , being able to load an image to guide the sam detection for masking would be awesome