V4.5角色
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hamanami (kancolle)

657 Danbooru 投稿 · 最高分 916 · V4.5

别名: hamanami_(kantai_collection)
seed 1234点击图片放大
NovelAI V4.5 使用「hamanami (kancolle)」标签的 AI 生成示例图
V4.5NAI Diffusion Anime V4.5
Prompthamanami (kancolle), 1girl, solo, best quality, masterpiece, cowboy shot, sfw, fully clothed, looking at viewer

关于“hamanami (kancolle)”标签

hamanami (kancolle) 是 NovelAI Diffusion 可以使用的角色标签。Danbooru 上有 657 篇投稿,静态图的最高分数为 916。上方示例把这个标签放在固定基准提示词的开头,并以 seed 1234 生成,因此与其他标签的差异都来自这个标签。

各模型画出的 hamanami (kancolle)

V5

忠实遵循构图和表情的指定,标签效果呈现得较整齐。

V4.5

对标签的反应更强,效果更容易看出来。

ILLUST

本地模型 WAI illustrious SDXL v17。可以看到同一标签在 NovelAI 以外的表现。

hamanami (kancolle) 在提示词中的写法

先写主体,再写这个标签,最后接质量标签。

基本hamanami (kancolle), solo, best quality, masterpiece
加画师wlop, hamanami (kancolle), solo

负面提示词和完整设置请见 使用条款。

示例的生成条件

所有图片都以 832×1216、seed 1234、23 step、k_euler_ancestral 生成。基准提示词和负面提示词对所有标签相同,只替换要测试的标签。被 NSFW 检查判定的图片会换 seed 重新生成或隐藏。

Danbooru wiki 摘录

展开 wiki 正文 ▾

Kantai Collection's personification of the Japanese destroyer Hamanami. Character design by Fujikawa, voiced by Tanibe Yumi.

She has long, bushy, waist-length bluish grey hair tied into a single braid and held by two black hair ribbons and an ahoge. Her hair barely covers her brown eyes.

Her default outfit is the Yuugumo-class school uniform: a long sleeved white shirt under a purple pleated dress, grey/purple pantyhose, and a blue bowtie. Her rigging is the same as the rest of the class: her funnel and foremast to her back, a 12.7 cm twin handgun mount, and two 61 cm quad torpedo tubes on thigh straps.

She is a very timid and gloomy girl who constantly stutters, speaking each phrase quickly, sparsely and quietly, sometimes even omitting an entire word or phrase.

Appearance

Yuugumo-class destroyers

32nd Destroyer Division

External links

来源:Danbooru wiki · hamanami_(kancolle) ↗

常见问题

NovelAI 能识别 hamanami (kancolle) 吗?

请对照本页的示例。本站所有标签都使用相同的 seed 和基准提示词,画面上的差异都来自 hamanami (kancolle)。

hamanami (kancolle) 在提示词中怎么写?

把“hamanami (kancolle)”写在提示词前部,并用逗号与其他标签分开。

V5 和 V4.5 该用哪个?

V4.5 更能体现标签的特色,V5 的姿势更稳定、瑕疵更少。