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About the trainer (umamusume) tag
trainer (umamusume) is a character tag that NovelAI Diffusion can use. On Danbooru it has 8,173 posts, and its best-rated still image scores 786. 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 trainer (umamusume)
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 trainer (umamusume) in a prompt
Put the subject first, then this tag, then quality tags.
trainer (umamusume), solo, best quality, masterpiecewlop, trainer (umamusume), 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 viewer self-insert character of Umamusume, who serves as the coach and advisor to the various horse girls during their athletic careers.
The player, who can choose to be male or female, enters Tracen Academy as a Rookie Trainer to train Umamusume for the Twinkle Series; in the main story, they take over Team Sirius from their mentor. As the playable Trainer is an unseen self-insert, and some characters' career stories give them contradictory traits, fan depictions of the generic Trainer's design and personality are open to interpretation. Various pieces of Umamusume media feature more fleshed-out Trainers as main characters.
A number of girls have different affectionate nicknames for their Trainer, such as "Traicchi" for Vivlos, "Danna" ("boss") for Inari One, or "Molmot-kun" ("guinea pig") for Agnes Tachyon.
This tag is generally for generic, self-insert trainers. For named or original trainers, use one of the tags below.
Appearance
Specific Trainers
Mobile Game
Anime
- Team Spica's Trainer (Pretty Derby, Team Spica)
- Toujou Hana (Pretty Derby, Team Rigil)
- Trainer Minamizaka (Pretty Derby, Team Canopus)
- Trainer Kuronuma (Pretty Derby, Mihono Bourbon)
- Satono's Trainer (Pretty Derby, Satono Diamond and Satono Crown)
- Trainer Okita (Road To The Top, Narita Top Road)
- Agnes Tachyon's Trainer (Beginning of a New Era, Agnes Tachyon)
- Trainer Tanabe (Beginning of a New Era, Fuji Kiseki and Jungle Pocket)
Manga
- Akeishi Gorou (Star Blossom, Team Alkes)
- Akeishi Tsubaki (Star Blossom, Team Alkes (Sakura Laurel specifically))
- Kitahara Jou (Cinderella Gray, Oguri Cap)
- Musaka Ginjirou (Cinderella Gray, Oguri Cap)
- Komiyama Masami (Cinderella Gray, Tamamo Cross)
- Nase Fumino (Cinderella Gray, Super Creek)
- Nase Hidehito (Cinderella Gray, Bamboo Memory)
- Shibasaki Kouichi (Cinderella Gray, Fujimasa March)
- Yaeno Muteki's Trainer (Cinderella Gray, Yaeno Muteki)
Original Female Trainers
- Higuchi Momo (Agnes Tachyon)
- Moromizato Sana (Agnes Tachyon)
- Yumesaki Momoko (Agnes Tachyon)
- Tarot (Air Shakur)
- Nameless Trainer (Aston Machan)
- Nezuo Yumi (Cesario, Symboli Kris S)
- Sato Sachiko (Dream Journey, Orfevre)
- Kohara Eru (El Condor Pasa)
- Kojyo Shino (Fenomeno)
- Kotabi Kiku (Katsuragi Ace)
- Kagehara Shizue (Mejiro Ardan)
- Sawaragi Mizuki (Mejiro Ramonu)
- Amamiya Tomoru (Mr. C.B.)
- Fujisato Mayu (Oguri Cap)
- Fumi Amashiro (Orfevre, Sirius Symboli)
- Misaki Kanon (Rice Shower)
- Akira (Sirius Symboli)
- Himari (Sirius Symboli)
- Puppy (Sirius Symboli)
- Shirohashi Akari (Sirius Symboli)
- Comore Juna (Symboli Kris S)
- Yumeno Haru
Common Generic Depictions
See also
FAQ
Does NovelAI recognize trainer (umamusume)?
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 trainer (umamusume).
How do I write trainer (umamusume) in a prompt?
Write "trainer (umamusume)" 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.