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About the niles (fire emblem) tag
niles (fire emblem) is a character tag that NovelAI Diffusion can use. On Danbooru it has 425 posts, and its best-rated still image scores 64. 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 niles (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 niles (fire emblem) in a prompt
Put the subject first, then this tag, then quality tags.
niles (fire emblem), solo, best quality, masterpiecewlop, niles (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
Niles (ゼロ, Zero) is a playable character in Fire Emblem Fates
He serves Leo and was originally a thief. He was born with rare blessings such as theft, assassination, and those sorts of skills, making him prominent in Nohr. He likes to see others suffer, and has the peculiarity of speaking with hidden meanings.
He is voiced by Koyasu Takehito in the Japanese version.
Starting Class: Thief
Appearance
- : Fire Emblem Fates[br]Portrait
- : Halloween
- : Resplendent
FAQ
Does NovelAI recognize niles (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 niles (fire emblem).
How do I write niles (fire emblem) in a prompt?
Write "niles (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.