About the ezra theodore tag
ezra theodore is a character tag that NovelAI Diffusion can use. On Danbooru it has 234 posts, and its best-rated still image scores 24. 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 ezra theodore
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 ezra theodore in a prompt
Put the subject first, then this tag, then quality tags.
ezra theodore, solo, best quality, masterpiecewlop, ezra theodore, 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
Ezra Theodore is a playable character from Reverse:1999. A young child doctor from Australia, due to his feminine looks, he was at first mistaken as a girl by Spathodea. Despite being human, Ezra is skilled in using magical mushrooms to help his allies. He is the main male protagonist of the "Revival! The Uluru Games" side story.
Ezra is voiced by Lindsay Rolland-Mills in English and Katou Emiri in Japanese.
Appearance
- : Default
- : Insight II: Enlightenment of Mushrooms
- : Pizza Hut Collaboration
- : Yee-Haw!
FAQ
Does NovelAI recognize ezra theodore?
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 ezra theodore.
How do I write ezra theodore in a prompt?
Write "ezra theodore" 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.