备注：在考虑以后做什么系列了
训练模型：SDXL1.0官模
测试模型：Kohaku-XL
建议权重：0.8 or adjust them freely according to the situation.
触发词：1girl,kitagawa_marin,blonde_hair,school_uniform,choker,ear_piercing,bangs,bag,collared_shirt,jewelry,earrings,very_long_hair,red_eyes,swept_bangs,
Testing model: Kohaku-XL
Recommended weights: 0.8 or adjust them freely according to the situation.
keyword：1girl,kitagawa_marin,blonde_hair,school_uniform,choker,ear_piercing,bangs,bag,collared_shirt,jewelry,earrings,very_long_hair,red_eyes,swept_bangs,
The English portion is translated by GPT and may contain errors.
值得注意的是，在该模型的训练中，我使用waifuc来通过搜集和处理训练集，他可以轻易过滤掉我所不需要的双人图，杂图和黑白图片，这使我的训练集的质量得到提高。
https://deepghs.github.io/waifuc/main/tutorials-CN/installation/index.html
It is worth noting that in the training of this model, I used waifuc to collect and process the training dataset. It can easily filter out unwanted images such as double exposure, miscellaneous images, and black and white images, which improves the quality of my training dataset.
https://deepghs.github.io/waifuc/main/index.html
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