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About the gunner 2 (sekaiju) tag
gunner 2 (sekaiju) is a character tag that NovelAI Diffusion can use. On Danbooru it has 332 posts, and its best-rated still image scores 91. 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 gunner 2 (sekaiju)
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 gunner 2 (sekaiju) in a prompt
Put the subject first, then this tag, then quality tags.
gunner 2 (sekaiju), solo, best quality, masterpiecewlop, gunner 2 (sekaiju), 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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One of the portraits for the Gunner in Sekaiju no Meikyuu 2. A young blonde woman in a blue coat and a fur-trimmed headwear with a hat badge resembling Jack Frost. She also wears green cargo pants; this detail is only revealed in the cover of the second game's soundtrack cover, and in an official figurine. Because most artists do not know this, a common artistic error is to draw her wearing something completely different, such as pantyhose, or nothing at all.
Appearance
- !asset #49309585: Reference picture
FAQ
Does NovelAI recognize gunner 2 (sekaiju)?
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 gunner 2 (sekaiju).
How do I write gunner 2 (sekaiju) in a prompt?
Write "gunner 2 (sekaiju)" 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.