About the evil neuro-sama tag
evil neuro-sama is a character tag that NovelAI Diffusion can use. On Danbooru it has 1,539 posts, and its best-rated still image scores 231. 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 evil neuro-sama
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 evil neuro-sama in a prompt
Put the subject first, then this tag, then quality tags.
evil neuro-sama, solo, best quality, masterpiecewlop, evil neuro-sama, 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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A VTuber created under Vedal AI by Vedal987. Initially introduced as a dark persona of Neuro-sama, she was later established as Neuro's evil twin sister. Her first appearance was on March 25, 2023.
She has red eyes, long brown hair with an ahoge, hair between her eyes and two side ups held by red hair ribbons with a skull hair ornament, and a broken heart-shaped hairclip.
Appearance
- !asset #48409719: Default
- !asset #48525412: Cyberpunk Knight
See also
- Neuro-sama - twin sister
- Evil Neuro-sama (voicebank)
External links
FAQ
Does NovelAI recognize evil neuro-sama?
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 evil neuro-sama.
How do I write evil neuro-sama in a prompt?
Write "evil neuro-sama" 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.