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About the ame-chan (needy girl overdose) tag
ame-chan (needy girl overdose) is a character tag that NovelAI Diffusion can use. On Danbooru it has 1,784 posts, and its best-rated still image scores 698. 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 ame-chan (needy girl overdose)
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 ame-chan (needy girl overdose) in a prompt
Put the subject first, then this tag, then quality tags.
ame-chan (needy girl overdose), solo, best quality, masterpiecewlop, ame-chan (needy girl overdose), 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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Main character of Needy Girl Overdose.
Her streamer alter-ego is Chouzetsusaikawa Tenshi-chan.
Appearance
- !asset #19724444: Default
- : Reference sheet
Official alternate costumes
- : Emo
- : School uniform
- : Needy Girl Overdose exhibition
- !asset #19724652: Sweets Paradise collaboration
- : 2023 Birthday
- : Nidiga Tozai
- : Chou Ame-chan
- : Playboy bunny
- : Magical girl
FAQ
Does NovelAI recognize ame-chan (needy girl overdose)?
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 ame-chan (needy girl overdose).
How do I write ame-chan (needy girl overdose) in a prompt?
Write "ame-chan (needy girl overdose)" 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.