About the jonathan joestar tag
jonathan joestar is a character tag that NovelAI Diffusion can use. On Danbooru it has 3,315 posts, and its best-rated still image scores 223. 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 jonathan joestar
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 jonathan joestar in a prompt
Put the subject first, then this tag, then quality tags.
jonathan joestar, solo, best quality, masterpiecewlop, jonathan joestar, 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
Main protagonist of JoJo no Kimyou na Bouken Part 1: Phantom Blood. His nickname is "JoJo", a name that the leading character of each following Part possesses, in one way or another. Dio Brando is his adoptive brother turned nemesis, and Erina Pendleton is his love interest. Learned Hamon under the tutelage of Will Anthonio Zeppeli, and also wields the sword Luck and Pluck.
His nickname, and the subsequent nicknames of his descendants, are a reference to the Beatles song Get Back.
FAQ
Does NovelAI recognize jonathan joestar?
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 jonathan joestar.
How do I write jonathan joestar in a prompt?
Write "jonathan joestar" 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.