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About the yamato takeru (fate) tag
yamato takeru (fate) is a character tag that NovelAI Diffusion can use. On Danbooru it has 904 posts, and its best-rated still image scores 428. 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 yamato takeru (fate)
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 yamato takeru (fate) in a prompt
Put the subject first, then this tag, then quality tags.
yamato takeru (fate), solo, best quality, masterpiecewlop, yamato takeru (fate), 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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The Saber-class servant of Miyamoto Iori in Fate/Samurai Remnant, later introduced as a playable servant in Fate/Grand Order. Their gender is left ambiguous.
Character Design: Takeuchi Takashi Illustrator: Wataru Rei Voice Actress: Yamamura Hibiku
Appearance
Costumes
- : FGO Fes. 2024
- : Over the Same Sky
- !asset #25802867: Phantasmal Dress
- : Riceball Remnant
- : Satellite Station 24-25
- : TYPE-MOON Ace Vol. 16
Unnamed costumes
See Also
External links
FAQ
Does NovelAI recognize yamato takeru (fate)?
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 yamato takeru (fate).
How do I write yamato takeru (fate) in a prompt?
Write "yamato takeru (fate)" 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.