About the shimura shinpachi tag
shimura shinpachi is a character tag that NovelAI Diffusion can use. On Danbooru it has 518 posts, and its best-rated still image scores 113. The samples above put the tag at the front of a fixed base prompt with seed 1234, so the differences between tags come from the tag alone.
How each model draws shimura shinpachi
Follows composition and expression instructions closely, so the effect shows in a tidy form.
Reacts to the tag more strongly, so its effect is easier to see.
WAI illustrious SDXL v17, a local model. Shows how the same tag reads outside NovelAI.
Writing shimura shinpachi in a prompt
Put the subject first, then this tag, then quality tags.
shimura shinpachi, solo, best quality, masterpiecewlop, shimura shinpachi, soloThe negative prompt and the full settings are on the terms page.
How these samples were made
Every image uses 832×1216, seed 1234, 23 steps and the k_euler_ancestral sampler. The base prompt and negative prompt stay the same for every tag, and only the tag under test changes. Images flagged by the NSFW check are regenerated with a new seed or hidden.
From the Danbooru wiki
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A black-haired boy from Gintama. One of the heirs to the Shimura clan dojo and the younger brother of Shimura Tae. The series tsukkomi. Most jokes about him center around his glasses being his most memorable trait. Works in the Yorozuya with Sakata Gintoki and Kagura. Knew Obi Hajime in his youth.
Actually loosely based off of the Shinsengumi captain Nagakura Shinpachi, but while he is affiliated with his series' equivalent to them, he is not a member of the organization.
h4.Appearance
FAQ
Does NovelAI recognize shimura shinpachi?
Compare the samples on this page. Every tag on this site shares the same seed and base prompt, so any change you see comes from shimura shinpachi.
How do I write shimura shinpachi in a prompt?
Write "shimura shinpachi" near the front of the prompt and separate it from other tags with commas.
Should I use V5 or V4.5?
V4.5 shows the tag's effect more strongly. V5 gives steadier images with fewer artifacts.