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About the yugami gooshu tag
yugami gooshu is an artist tag that NovelAI Diffusion can use. On Danbooru it has 83 posts, and its best-rated still image scores 239. 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 yugami gooshu
Follows pose and expression instructions closely. Good for clean standing portraits.
Picks up face shape, line and palette more strongly. Good when you want the style to lead.
WAI illustrious SDXL v17, a local model. Shows how the same tag reads outside NovelAI.
Writing yugami gooshu in a prompt
Put the artist tag near the front, then add the subject and quality tags.
yugami gooshu, 1girl, solo, best quality, masterpieceyugami gooshu, hatsune miku, 1girlyugami gooshu, synchroman, 1girlThe mix example uses synchroman, the closest style on this site. The 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
Artist, eromangaka. Formerly tagged as syugo_kagami.
Japanese name: 由上 ゴーシュ (Yugami Gōsyu or Yugami Gooshu) Old name: 非常口 (Hijouguchi) Circle name: HERO's MUFFLER (ヒーローズ・マフラー) Site name: いんじご Old site name: ピノキオの本棚
FAQ
Does NovelAI recognize yugami gooshu?
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 yugami gooshu.
How do I write yugami gooshu in a prompt?
Write "yugami gooshu" near the front of the prompt and separate it from other tags with commas.
Which artists draw in a similar style to yugami gooshu?
synchroman, ino (tellu0120), suan ringo are the closest on this site, judged from the V4.5 samples.
Should I use V5 or V4.5?
V4.5 gives a stronger yugami gooshu look. V5 gives steadier poses and fewer artifacts.