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About the setsuna (fire emblem) tag
setsuna (fire emblem) is a character tag that NovelAI Diffusion can use. On Danbooru it has 276 posts, and its best-rated still image scores 160. 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 setsuna (fire emblem)
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 setsuna (fire emblem) in a prompt
Put the subject first, then this tag, then quality tags.
setsuna (fire emblem), solo, best quality, masterpiecewlop, setsuna (fire emblem), 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
Setsuna (セツナ) is a playable character in Fire Emblem Fates.
One of Hinoka's retainers. She is quiet and shows up at unexpected places at unexpected times. She's extremely clumsy, but shameless, making her unpersonable. Prone to spacing out in her leisure time, and silently shoots things down to pass the time.
She is voiced by Ishikawa Ayana in the Japanese version.
Starting Class: Archer -> Sniper
Appearance
- : Fire Emblem Fates[br]Portrait
FAQ
Does NovelAI recognize setsuna (fire emblem)?
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 setsuna (fire emblem).
How do I write setsuna (fire emblem) in a prompt?
Write "setsuna (fire emblem)" 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.