About the enjoji jin tag
enjoji jin is a character tag that NovelAI Diffusion can use. On Danbooru it has 546 posts, and its best-rated still image scores 172. 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 enjoji jin
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 enjoji jin in a prompt
Put the subject first, then this tag, then quality tags.
enjoji jin, solo, best quality, masterpiecewlop, enjoji jin, 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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A supporting character in Dandadan.
He is Ayase Momo's childhood friend, also unknowingly her first crush, who he lost touch with after moving away. Years later, he enrolls into Ayase Momo's high school and reunites with her after he came to her grandmother for help to rid his house of the Evil Eye haunting him, which leads to him becoming the yokai's vessel. After the Evil Eye is kept under control by Takakura Ken, Jiji becomes one of the few to lend his help to Ayase Momo and Takakura Ken as they try to find the latter's kintama.
Appearance
FAQ
Does NovelAI recognize enjoji jin?
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 enjoji jin.
How do I write enjoji jin in a prompt?
Write "enjoji jin" 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.