About the ohara mari tag
ohara mari is a character tag that NovelAI Diffusion can use. On Danbooru it has 2,176 posts, and its best-rated still image scores 698. 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 ohara mari
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 ohara mari in a prompt
Put the subject first, then this tag, then quality tags.
ohara mari, solo, best quality, masterpiecewlop, ohara mari, 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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Character in Love Live! Sunshine!! Her mother is Japanese, while her father is Italian-American and manages a hotel chain. Due to her upbringing, she speaks with an accent and often inserts English words into her speech every few lines.
Mari is a member of the Aqours sub-unit Guilty Kiss, alongside Tsushima Yoshiko and Sakurauchi Riko. She is also Uranohoshi Girls High School's chairwoman.
She has blonde hair and yellow or green eyes. She has a crown braid atop her head, and a single hair ring on her left.
Voiced by Suzuki Aina.
Appearance
FAQ
Does NovelAI recognize ohara mari?
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 ohara mari.
How do I write ohara mari in a prompt?
Write "ohara mari" 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.