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About the yuzuriha (jigokuraku) tag
yuzuriha (jigokuraku) is a character tag that NovelAI Diffusion can use. On Danbooru it has 324 posts, and its best-rated still image scores 805. 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 yuzuriha (jigokuraku)
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 yuzuriha (jigokuraku) in a prompt
Put the subject first, then this tag, then quality tags.
yuzuriha (jigokuraku), solo, best quality, masterpiecewlop, yuzuriha (jigokuraku), 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
Yuzuriha, also known as Yuzuriha of Keishu (傾主の杠, Keishu no Yuzuriha), is a criminal kunoichi that has been put on death row. After the shogun called for convicted criminals to acquire the Elixir of Life from the dangerous island known as Kotaku, in exchange for a pardon for their past crimes, Yuzuriha accepted the invitation to be a part of the competition mission. Upon taking the mission, Yamada Asaemon Senta was chosen as her assigned monitor.
FAQ
Does NovelAI recognize yuzuriha (jigokuraku)?
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 yuzuriha (jigokuraku).
How do I write yuzuriha (jigokuraku) in a prompt?
Write "yuzuriha (jigokuraku)" 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.