_(fire_emblem).webp)
About the male robin (grima) (fire emblem) tag
male robin (grima) (fire emblem) is a character tag that NovelAI Diffusion can use. On Danbooru it has 366 posts, and its best-rated still image scores 338. 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 male robin (grima) (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 male robin (grima) (fire emblem) in a prompt
Put the subject first, then this tag, then quality tags.
male robin (grima) (fire emblem), solo, best quality, masterpiecewlop, male robin (grima) (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
Show the wiki text ▾Hide ▴
Male Robin while being possessed by Grima, he can be identified by his red eyes and purple aura floating around him. If either of these elements are present in the image, this tag should also be tagged. Also available as an official alternate costume in Fire Emblem Heroes.
Appearance
See also
FAQ
Does NovelAI recognize male robin (grima) (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 male robin (grima) (fire emblem).
How do I write male robin (grima) (fire emblem) in a prompt?
Write "male robin (grima) (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.