雨夹雪~我尝试给一些角色打上了名字的标签，但效果有限，可能确实会使画面中的人物更偏向目标，当然需要搭配对应角色的特征词使用。I tried adding name tags for some characters, but the effect seems to be somewhat limited. It may indeed help push the characters in the image closer to the intended target, though it probably needs to be used together with the corresponding character feature tags.这是一个提醒：你需要关闭R、X和XXX可见才能看到我的部分LoRA。This is a tip: you need to disable R, X and XXX visible to see some of my LoRA.欢迎来我的Q群玩：962631038（新2群，原备用群）/514186900（人已满），答案是我炼过模型的一个角色的名字，她的英文名在群名中。My Discord server: <a target="_blank" rel="ugc" href="https://discord.com/invite/gVtk8XYWwt">https://discord.com/invite/gVtk8XYWwt</a> ←我的Discord服务器。在爱发电为我买一份一美元炸鸡：<a target="_blank" rel="ugc" href="https://afdian.com/a/YDDLJW">https://afdian.com/a/YDDLJW</a>Tip me a one-dollar fried chicken: <a target="_blank" rel="ugc" href="https://patreon.com/YDDLJW">https://patreon.com/YDDLJW</a>————————————V1.1：搭配其它角色LoRA时拥有更好表现的Lokr。Lokr with better performance when using with other character LoRA.————————————触发词（Trigger tag）<pre><code>@Ameto Yuki, </code></pre>角色 (characters)<pre><code>Hanatsuka Aika \(Soi Kano\), Iris Murphy \(Mugen\), Midorisawa Aoi \(Mugen\), Ootsu Rose \(SPIRAL\), Haru \(karehana\), Kotose \(karehana\), Nekotenguu Hanako \(Tamayura Mirai\), Yukina \(karehana\), Kohaku Shiro \(Tamayura Mirai\), Ren \(karehana\), </code></pre>————————————推荐使用底模（Recommended base model）WAI-ANIMA<a target="_blank" rel="ugc" href="https://civarchive.com/models/2544636/wai-anima">https://civarchive.com/models/2544636/wai-anima</a>Anima Base<a target="_blank" rel="ugc" href="https://civarchive.com/models/2458426/anima">https://civarchive.com/models/2458426/anima</a>AnimaYume<a target="_blank" rel="ugc" href="https://civarchive.com/models/2385278/animayume">https://civarchive.com/models/2385278/animayume</a>————————————推荐参数（Recommended setting）：Sampler: Euler aSchedule Type: Flux2Steps: 32 (28~40 is fine)width: 768~1536height: 768~1536CFG Scale: 4 (3~6 is fine)

Ameto Yuki art style (雨夹雪画风) | Anima

Lokr trained on Anima base-v1.0 with regularization.

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