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About the fujimaru ritsuka (male) (summer street) tag
fujimaru ritsuka (male) (summer street) is a character tag that NovelAI Diffusion can use. On Danbooru it has 287 posts, and its best-rated still image scores 371. 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 fujimaru ritsuka (male) (summer street)
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 fujimaru ritsuka (male) (summer street) in a prompt
Put the subject first, then this tag, then quality tags.
fujimaru ritsuka (male) (summer street), solo, best quality, masterpiecewlop, fujimaru ritsuka (male) (summer street), 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
Male Ritsuka's version of the Summer Street Mystic Code introduced in Fate/Grand Order's 2023 summer event. He wears a short sleeved white hoodie, black capri pants, and a fanny pack.
For Female Ritsuka's version, see fujimaru ritsuka (female) (summer street).
Appearance
FAQ
Does NovelAI recognize fujimaru ritsuka (male) (summer street)?
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 fujimaru ritsuka (male) (summer street).
How do I write fujimaru ritsuka (male) (summer street) in a prompt?
Write "fujimaru ritsuka (male) (summer street)" 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.