About the nimi nightmare tag
nimi nightmare is a character tag that NovelAI Diffusion can use. On Danbooru it has 1,452 posts, and its best-rated still image scores 693. 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 nimi nightmare
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 nimi nightmare in a prompt
Put the subject first, then this tag, then quality tags.
nimi nightmare, solo, best quality, masterpiecewlop, nimi nightmare, 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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An English-speaking indie tapir girl virtual YouTuber. Previously known as LemonLeaf, though she still uses that persona for ASMR content. Debuted on January 17th, 2025.
Her full model is designed by Toosaka Asagi. She has green eyes, tapir ears, short blonde/brown hair with a single side up tied with a white ribbon, double-parted bangs with crossed bangs between eyes, and large breasts.
Appearance
Official costumes with a model
- : 1st costume: Default
- : Idol
- : Lifeguard
- : A Dream of Spring
- : Goth
Other
- : Tapir
See also
External links
FAQ
Does NovelAI recognize nimi nightmare?
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 nimi nightmare.
How do I write nimi nightmare in a prompt?
Write "nimi nightmare" 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.
