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
using extra weight to lora and ohwx woman only brings out better results for me(my trained lora) , giving atleast 1.1 to lora and ((ohwx woman)/ ohwx woman:2 gives better results
Batch rename files and folders in a snap. Perfect for any kind of file renaming including music and photo files. Preview your files before renaming and undo erroneous renaming jobs.
Batch rename files and folders in a snap. Perfect for any kind of file renaming including music and photo files. Preview your files before renaming and undo erroneous renaming jobs.
@Dr. Furkan Gözükara You've released a lot of new stuff! Now I just have to find the time to study it all) I don't understand how classes work, I've been trying to figure it out for how long, I can't get it. Physically, when we train a large model on characters, we roughly divide into a man and a woman. And if on subjects? Then every class is a subject? Car, Chair, Door, bag or sheep, Dragon, whale
And then I haven't seen anyone use the indicators, and here is the Reg_1 folder, how the learning structure should look in it. How to write files in it and what should they be?
Master Stable Diffusion XL Training on Kaggle for Free! Welcome to this comprehensive tutorial where I'll be guiding you through the exciting world of setting up and training Stable Diffusion XL (SDXL) with Kohya on a free Kaggle account. This video is your one-stop resource for learning everything from initiating a Kaggle session with dual ...
Im trying to find captioning techniques in your guides but couldnt get a clear idea. The SOTA you mentioned captions the image. Is that the one we need to use for Dreambooth/ Lora? Is Ohwx still best way to go to name someone? I saw some YT videos saying name to celebrity with high similarity is better way.