About the white heart (neptunia) tag
white heart (neptunia) is a character tag that NovelAI Diffusion can use. On Danbooru it has 600 posts, and its best-rated still image scores 262. 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 white heart (neptunia)
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 white heart (neptunia) in a prompt
Put the subject first, then this tag, then quality tags.
white heart (neptunia), solo, best quality, masterpiecewlop, white heart (neptunia), 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
The HDD goddess form of Blanc. Unlike Blanc's normal self, White Heart is constantly irritable and combative. Blanc's eyes turn red and, like other characters' HDD forms, she gains power symbol-shaped pupils. Her hair turns blue, gets slightly ruffled compared to her regular form, while sidelocks on either side of her head grow out to become short hair with long locks.
See also
- Blanc, her untransformed form
- Next White, her Next Form
FAQ
Does NovelAI recognize white heart (neptunia)?
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 white heart (neptunia).
How do I write white heart (neptunia) in a prompt?
Write "white heart (neptunia)" 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.
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