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About the hakurei reimu (pc-98) tag
hakurei reimu (pc-98) is a character tag that NovelAI Diffusion can use. On Danbooru it has 883 posts, and its best-rated still image scores 102. 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 hakurei reimu (pc-98)
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 hakurei reimu (pc-98) in a prompt
Put the subject first, then this tag, then quality tags.
hakurei reimu (pc-98), solo, best quality, masterpiecewlop, hakurei reimu (pc-98), 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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Hakurei Reimu as she appeared in the first five Touhou PC-98 games. "Classic" Reimu has long purple hair, purple eyes, and a more traditional miko outfit, with a white top and no yellow ascot. She may also look a bit younger.
The kanji in her name is a bit different from the Windows version (靈 <-> 霊). Despite this, she is not generally considered to be a separate character from the "Windows era" Reimu.
Appearance
See also
External links
FAQ
Does NovelAI recognize hakurei reimu (pc-98)?
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 hakurei reimu (pc-98).
How do I write hakurei reimu (pc-98) in a prompt?
Write "hakurei reimu (pc-98)" 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.