multiple styles-pomegranate[sdxl]

继续训练v1.0得到v1.1,单个风格表现更明显,但部分风格间的区别仍较小,推测由不同风格数据混杂、数据标注不准确、模型不够拟合导致,后续版本将着重解决这些问题

continue to train v1.0 to get v1.1, and the performance of a single style is more obvious, but the difference between some styles is still small, which is speculated to be caused by the mixed data of different styles, inaccurate data annotation, and insufficient model fitting, the subsequent version will focus on solving these problems