About the smile precure! tag
smile precure! is a series tag that NovelAI Diffusion can use. On Danbooru it has 9,064 posts, and its best-rated still image scores 490. 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 smile precure!
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 smile precure! in a prompt
Put the subject first, then this tag, then quality tags.
smile precure!, solo, best quality, masterpiecewlop, smile precure!, 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 ninth installment of the Pretty Cure franchise. It aired on February 5, 2012, and features five Precures alongside one mascot. The main theme is fairy tales.
In 2015, an English adaptation of the series titled Glitter Force was released as a Netflix exclusive.
h4.Characters
h6.Smile Precure
- Aoki Reika / Cure Beauty
- Hino Akane / Cure Sunny
- Hoshizora Miyuki / Cure Happy
- Kise Yayoi / Cure Peace
- Midorikawa Nao / Cure March
Allies
h6.Bad End Kingdom
Related tags
Songs
Other
See also
External links
FAQ
Does NovelAI recognize smile precure!?
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 smile precure!.
How do I write smile precure! in a prompt?
Write "smile precure!" 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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