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About the mash kyrielight (dangerous beast) tag
mash kyrielight (dangerous beast) is a character tag that NovelAI Diffusion can use. On Danbooru it has 2,398 posts, and its best-rated still image scores 620. 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 mash kyrielight (dangerous beast)
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 mash kyrielight (dangerous beast) in a prompt
Put the subject first, then this tag, then quality tags.
mash kyrielight (dangerous beast), solo, best quality, masterpiecewlop, mash kyrielight (dangerous beast), 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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Mash Kyrielight's very revealing criss-cross outfit featured in the Dangerous Beast Craft Essence, released during the Halloween Comeback! event.
Illustrator: ReDrop
Appearance
See also
- Halloween Princess (Halloween 2015 CE)
- Trick or Treatment (Halloween 2017 CE)
- Mash Kyrielight (Dangerous Beast) (Cosplay)
External links
FAQ
Does NovelAI recognize mash kyrielight (dangerous beast)?
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 mash kyrielight (dangerous beast).
How do I write mash kyrielight (dangerous beast) in a prompt?
Write "mash kyrielight (dangerous beast)" 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.