Illustrious

Tagging is similar to old versions, but here is a slightly changed list of tagging.

Witch: nobeta \(main\), witch, witch hat
Witch (no hat): nobeta \(main\), witch, no headwear, hairband
Bikini: nobeta \(bikini\), twinbraids (optional: see-through shirt, white shirt, optional: belt pouch, optional: sun hat)
Beret: nobeta \(beret\), pinafore dress, x hair ornament, thigh ribbon, white headwear
Bunny Girl: nobeta \(bunnygirl\), red dress, black leotard, twintails, black pantyhose
China Dress: nobeta \(china dress\), pink dress, detached sleeves, side slit
Nurse: nobeta \(nurse\)
Bear: nobeta \(bear\), bear costume, pink ribbon, bandaid on leg
Base Nobeta: nobeta

The Illustrious version is much more accurate than the other versions.

Old Versions

Supports these 5+2 outfits (I have escaped the brackets for you):

Witch: nobeta \(main\), witch, hat bow, black thighhighs
Witch (no hat): nobeta \(main\), hairband (put (hat:1.2) in negatives)
Bikini: nobeta \(bikini\), twinbraids (shirt variant: see-through shirt)
Beret: nobeta \(beret\), dress, pinafore dress, white beret, x hair ornament (for full body: thigh ribbon)
Bunny Girl: nobeta \(bunnygirl\), sleeveless, wrist cuffs, black pantyhose, twintails
China Dress: nobeta \(china dress\), detached sleeves, pink sleeves, side slit
Nobeta: nobeta, hairband

For the Pony version I've added two additional outfits:

Nurse: nobeta \(nurse\)
Bear: nobeta \(bear\), bear costume, pink ribbon, bandaid on leg

Notes:

Her cat is also in the training set, use phyllis \(cat\), black cat
There are some outfit variants which are a bit more difficult due to sparse training data: witch+no hat variant, bikini+shirt variant.
For some reason, fan artists do not agree on the eye color. It seems to be either red or orange, some artists also use brown (??). Use red eyes for consistent eye colors, or red eyes, orange eyes, gradient eyes.
Style changes a little for each outfit due to style bias. Use an artist style to counter this effect
Nobeta has a different staff for each outfit. Due to the sparse training data for some of the outfits, the staff is often (usually) not quite correct.

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