About the mashiro meme tag
mashiro meme is a character tag that NovelAI Diffusion can use. On Danbooru it has 650 posts, and its best-rated still image scores 291. 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 mashiro meme
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 mashiro meme in a prompt
Put the subject first, then this tag, then quality tags.
mashiro meme, solo, best quality, masterpiecewlop, mashiro meme, 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
Show the wiki text ▾Hide ▴
A Japanese-speaking VTuber and member of Nijisanji. Designed by Tauyuki Saema.
He is portrayed with short black hair styled into a bob cut and two side-ups with safety pin hairclips, yellow eyes, and fangs.
Appearance
Official costumes with a model
- : Default
- !asset #24122650: 2nd costume: Loungewear
- : 3rd costume: Casual
Costumes shared with other members
- !asset #30986853: Nijisanji matching idol outfit: Yellow class (illustration-only)
- : Nijisanji matching outfit (illustration-only)
External links
FAQ
Does NovelAI recognize mashiro meme?
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 mashiro meme.
How do I write mashiro meme in a prompt?
Write "mashiro meme" 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.
