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seta kaoru

429 Danbooru posts · top score 77 · V4.5

seed 1234Tap an image to enlarge
AI-generated NovelAI V4.5 sample of the "seta kaoru" tag
V4.5NAI Diffusion Anime V4.5
Promptseta kaoru, 1girl, solo, best quality, masterpiece, cowboy shot, sfw, fully clothed, looking at viewer

About the seta kaoru tag

seta kaoru is a character tag that NovelAI Diffusion can use. On Danbooru it has 429 posts, and its best-rated still image scores 77. 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 seta kaoru

V5

Follows composition and expression instructions closely, so the effect shows in a tidy form.

V4.5

Reacts to the tag more strongly, so its effect is easier to see.

ILLUST

WAI illustrious SDXL v17, a local model. Shows how the same tag reads outside NovelAI.

Writing seta kaoru in a prompt

Put the subject first, then this tag, then quality tags.

Basicseta kaoru, solo, best quality, masterpiece
With artistwlop, seta kaoru, solo

The 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

The princely guitarist of Hello Happy World! in BanG Dream!. She has red eyes and a purple ponytail, with sidelocks and a strand of hair between her eyes.

Her birthday is February 28th, and her seiyuu is Tadokoro Azusa.

Source: Danbooru wiki · seta_kaoru ↗

FAQ

Does NovelAI recognize seta kaoru?

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 seta kaoru.

How do I write seta kaoru in a prompt?

Write "seta kaoru" 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.