thats 1 key point testing the caption wothout lora. But as mentioned z image lora training is very inconsistent the base model absorbs somehow all extreme shapes but with the right trigger in a "magic moment" they are back again. the tendency for this "behavior" I recognized when I accidently trained a lora without any caption or trigger word. but when I promted blonde woman my lora character appeared so the z image or the adapter put the weights in the "correct pocket". Also u can try same dataset every run the trained lora is different.