I am using Kohya_ss Dreambooth/Lora module. I shot my dataset in studio. I feed around 50 images. The purpose is maintain rigidity in the output model, so the concept trigger (this real person + this brand outfit, long coat with buttons and pockets, ruffled collar silk shirt, brown ankle boots). I need the Lora model to spit out precisely the same character concept every time, in different environment settings. So my captions will differ in each cropped dataset. FOr example, for close-up: lena, woman, fashion model, fair skinned, skinhead, short hair, white stripped ruffled collar shirt, buttons, grey coat with white speckles, head and shoulder close up, head turned to side, brown eyes, beige background . For full lenght wide shot: lena, woman, fashion model, standing, fair skinned, skinhead, short hair, white stripped ruffled collar shirt, buttons, grey coat with white speckles, white coat buttons, coat pockets, coat notch lapel, brown leather ankle boots white stripped sleeves, brown eyes, beige background . I am being precise with tags, so that i get an identical generation of the concept character. Fine tuning the captions for me gives me better precision of garments. I am getting pretty good results, but fine tuning caption tags means going back and recursively changing tags (ie, "white stripped ruffled collar shirt" to "white stripped silk (ruffled collar:1.2) shirt, long sleeve"... etc). That's why I ask about a tool automate the propagation of tags...
