Anime Illust Diffusion Model style extraction test.版本(aidv)3.0BasicPromotion (aidv)

这里主要是验证模型概念的提取，并通过使用不同的模型进行演示概念附加的结果,

Here the main purpose is to verify the extraction of model concepts and demonstrate the results of concept attachment by using different models.

原模型Anime Illust Diffusion链接：https://civitai.com/models/16828

为了方便演示我使用了相同的提示词和随机种子，你可以看出它的特点

In order to facilitate the demonstration, I used the same prompts and random seed. You can see its characteristics.

和Anime Illust Diffusion 的特点一样你可以使用以下的艺术家风格来变化画面效果

Like the characteristics of "anime illust diffusion", you can use the following artist styles to change the visual effects:

by 35s00, by 3meiji, by 5eyo, by 7nu, by 7thknights, by adenim, by agm, by ajimita, by akizero, by ame929, by anmi, by anteiru, by arutera, by ask, by atelier irrlicht, by bunbun, by caaaaarrot, by camu, by canking, by ccroquette, by chi4, by chicken utk, by chon, by cola, by cutesexyrobutts, by darumakarei, by dino, by dora, by dsmile9, by ei maestrl, by ekita kuro, by ekita xuan, by eku uekura, by fadingz, by fajyobore, by foomidori, by freng, by fuzichoco, by gesoking, by gomzi, by hachisan, by hakuhiru oeoe, by hamukukka, by haru, by hata, by hidulme, by hikinito0902, by hinaki, by hitoimim, by hitomio16, by hizumi, by homutan, by hotatenshi, by houk1se1, by hyatsu, by icecenya, by ichigo ame, by inoriac, by iromishiro, by iwzry, by jnthed, by joezunzun, by junsui0906, by karohroka, by kaya7hara, by kazari tayu, by killow, by kin, by kinta, by kishiyo, by kitada mo, by kkuni, by konya karasue, by kooork55, by kot rou020, by krenz, by kurige horse, by kuroume, by lalalalack, by lemoneco, by lm7, by lovelymelm, by lpmya, by mar takagi, by matcha, by matsukenmanga, by melowh, by menou, by midori xu, by mika pikazo, by misumigumi, by miv4t, by mochizukikei, by mogumo, by momoco, by momoku, by morikuraen, by mqkyrie, by muina, by munashichi, by muryou tada, by myaru, by myc0t0xin, by myung yi, by nack, by naji yanagida, by nanmo, by nardack, by narue, by nekojira, by netural, by nezukonezu32, by nico tine, by nikuzume, by nine, by nineo, by ninev, by niwa uxx, by nixeu, by noco, by noodle4cool, by nounoknown, by noyu, by oda non, by omutatsu, by onineko, by palow, by panp, by pikuson, by poharo, by poire, by potg, by pro-p, by qooo003, by rai hito, by rattan, by reiko, by rella, by rhtkd, by rin7914, by roitz, by ryuseilan, by saberiii, by sais, by sakiika, by samip, by sanosomeha, by say hana, by scottie0073, by senryoko, by serie niai, by seuhyo99, by shal-e, by shimanun, by shirabii, by shiraishi kanoya, by shiren, by shirentutu, by sho, by sia, by siki, by silver, by solipsist, by some1else45, by sonomura00, by sooon, by star furu, by starshadowmagic, by starzin07, by sui 0z0, by sul, by sushi0831, by suzukasuraimu, by taiki, by takumi bis, by teffish, by tidsean, by tira27, by tsukiho tsukioka, by tsvbvra, by ttosom, by tukumi bis, by uiiv, by ukiatsuya, by umaiyo puyoman, by void, by wait ar, by walzrj, by wanke, by whoisshe, by wlop, by xilmo, by yejji, by yogisya, by yohan, by yomu, by yoneyama mai, by yosk6000, by yumenouchi, by yun216, by yunikon147, by yunsang, by ziyun, by zumoti4

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鬼谷模型风格概念提取

原模型链接：https://civitai.com/models/15382?modelVersionId=18126

注意因为提取了原模型中艺术风格的概念因此使用的时候加上“guigubahuang”,“chinese style”会更好

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我想向原始模型上传者表达感激之情，感谢他们的贡献,正是因为您的分享，我们对人工智能的理解变得更加深刻,
I would like to express my gratitude to the original model uploader for their contribution. It is because of your sharing that our understanding of AI has become more profound.

描述:

一个月前混合的模型，因为并不是很想发布，所以一直拖到了现在。但没有比这个更好演示回溯现象在混合时的影响了

The model that was mixed a month ago has been delayed until now because there was not much desire to release it. However, there is no better demonstration of the impact of the backtracking phenomenon during mixing than this.

trainDifference 混合，建议将数值设置为α=0.3。不建议α＞0.4

traindifference mix , it is recommended to set the value to α = 0.3 .not recommended that α > 0.4

之后就可以获得和 https://civitai.com/models/16828 一样的提示词效果

Afterward, you can achieve the same prompt effect as that of https://civitai.com/models/16828

适用于非写实风格的模型

Suitable for non-realistic models

混合方式请参考https://civitai.com/models/579793

Please refer to the mixed method https://civitai.com/models/579793

训练词语: