Anime Illust Diffusion Model style extraction test.

여기서 주요 목적은 모델 개념의 추출을 검증하고 다양한 모델을 사용하여 개념 첨부의 결과를 시연하는 것입니다.

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

원본 모델 Anime Illust Diffusion 링크: /model/16828

시연을 위해 동일한 프롬프트와 랜덤 시드를 사용했습니다. 그 특징을 확인할 수 있습니다.

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

Anime Illust Diffusion과 같은 특징을 가지므로, 아래의 아티스트 스타일을 사용하여 시각적 효과를 변경할 수 있습니다.

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

---

귀곡 모델 스타일 개념 추출

원본 모델 링크: /model/15382?modelVersionId=18126

원본 모델의 예술 스타일 개념을 추출했기 때문에, 사용 시 "guigubahuang", "chinese style"을 추가하는 것이 더 좋습니다.

---

원본 모델 업로더님께 그들의 기여에 감사의 뜻을 전하고 싶습니다. 여러분의 공유 덕분에 우리 인공지능에 대한 이해가 더욱 깊어졌습니다.
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.