About the midorikawa nao tag
midorikawa nao is a character tag that NovelAI Diffusion can use. On Danbooru it has 2,835 posts, and its best-rated still image scores 164. 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 midorikawa nao
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 midorikawa nao in a prompt
Put the subject first, then this tag, then quality tags.
midorikawa nao, solo, best quality, masterpiecewlop, midorikawa nao, 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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The green-haired girl in Smile Precure! who has a strong sense of justice and an 'older sister' disposition, but also hides a girly side. She transforms into Cure March. Bears a striking physical resemblance and name connection with Midorikawa Ryuuji from Inazuma Eleven.
She is the oldest of 7 siblings, born in the following order:
- Midorikawa Nao
- Midorikawa Keita
- Midorikawa Haru
- Midorikawa Hina
- Midorikawa Yuuta
- Midorikawa Kouta
- Midorikawa Yui (born in episode 42)
Appearance
FAQ
Does NovelAI recognize midorikawa nao?
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 midorikawa nao.
How do I write midorikawa nao in a prompt?
Write "midorikawa nao" 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.
