About the monster girl encyclopedia tag
monster girl encyclopedia is a series tag that NovelAI Diffusion can use. On Danbooru it has 4,932 posts, and its best-rated still image scores 832. 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 monster girl encyclopedia
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 monster girl encyclopedia in a prompt
Put the subject first, then this tag, then quality tags.
monster girl encyclopedia, solo, best quality, masterpiecewlop, monster girl encyclopedia, 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
Japanese: 魔物娘図鑑 (Mamono Musume Zukan)
A project by Kenkou Cross to make profiles for various monster girls. The encyclopedia itself is pool #2206.
See also
External links
- "Kenkou Cross's website":http://kurobine.sakura.ne.jp/mamonogirllover/zukan/
- Monster Girl Encyclopedia Wiki
- Monster Girl Encyclopedia Wiki on Fandom (closed down)
- Monster Girl Encyclopedia Wiki on Miraheze (closed down)
FAQ
Does NovelAI recognize monster girl encyclopedia?
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 monster girl encyclopedia.
How do I write monster girl encyclopedia in a prompt?
Write "monster girl encyclopedia" 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.

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