About the shimamura hougetsu tag
shimamura hougetsu is a character tag that NovelAI Diffusion can use. On Danbooru it has 669 posts, and its best-rated still image scores 148. 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 shimamura hougetsu
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 shimamura hougetsu in a prompt
Put the subject first, then this tag, then quality tags.
shimamura hougetsu, solo, best quality, masterpiecewlop, shimamura hougetsu, 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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One of the titular characters in Adachi to Shimamura. A first-year high school student who befriends Adachi Sakura. Tends to view her as more of an older sister or mother, and enjoys teasing Adachi.
She has brown eyes, medium breasts, and long brown hair with bangs, sidelocks & hair between eyes. She wears a hairclip and a school uniform consisting of a red bow, open black blazer, brown cardigan, white collared shirt, and a plaid skirt.
She is voiced by Itou Miku.
FAQ
Does NovelAI recognize shimamura hougetsu?
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 shimamura hougetsu.
How do I write shimamura hougetsu in a prompt?
Write "shimamura hougetsu" 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.