About the han sooyoung tag
han sooyoung is a character tag that NovelAI Diffusion can use. On Danbooru it has 818 posts, and its best-rated still image scores 55. 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 han sooyoung
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 han sooyoung in a prompt
Put the subject first, then this tag, then quality tags.
han sooyoung, solo, best quality, masterpiecewlop, han sooyoung, 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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Omniscient Reader's Viewpoint main character.
An author who is sometimes depicted with multiple avatars/personas or an afterimage. She has short, black bob cut hair and black eyes. She typically wears a purple hoodie and often snacks on lemon candy lollipops.
Her 1863rd Turn persona can have a baseball cap or an open white coat with a black collared shirt. This persona is also drawn as a child to indicate her involvement with the past.
Appearance
- : 1863rd Turn
- : Child variant alongside Oldest Dream in a school uniform.
FAQ
Does NovelAI recognize han sooyoung?
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 han sooyoung.
How do I write han sooyoung in a prompt?
Write "han sooyoung" 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.