10 More AI Image Prompts: Facial Details & Poses [Free, With Examples]

A follow-up to the first volume. Ten words centred on facial details and poses. Fine-grained words like aegyo sal or freckles get washed out easily, so each example comes with how to word it so it survives. All free.

10 Prompts for Facial Details and Poses

1

Eye Bags (Aegyo Sal)

Eye Bags (Aegyo Sal)

The under-eye fullness reads clearly here. "large eye bags" can be misread as dark circles, but with a facial close-up it renders as aegyo sal.

Prompt
1 woman,large eye bags
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2

Mole

Mole

Several small moles on the cheek and around the eyes. "mole" barely responds to position control, so generating more variations beats trying to pin down the exact spot.

Prompt
1 woman,mole
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3

Freckles

Freckles

Freckles scatter evenly across the cheeks. "freckles" competes with skin-texture words, so leaving out "smooth skin" style terms helps them survive.

Prompt
1 woman,freckles
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4

No Makeup

No Makeup

A bare-skin texture with a hand resting on the face. "no makeup" specifies bare skin rather than plainness, so softening the lighting terms brings it out.

Prompt
1 woman,no makeup
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5

Tongue Out

Tongue Out

An anime-style shot with the tongue clearly out. "tongue out" lands more reliably in 2D styles than in photoreal ones.

Prompt
1 cute girl,tongue out
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6

Split Tongue

Split Tongue

You can see the tongue tip forked in two. "split tongue" is a fine-grained word that gets washed out on its own, so writing it together with "tongue out" — locking in the tongue-out state first — is the condition for success.

Prompt
1 woman,split tongue,tongue out,smiling
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7

Salute

Salute

A clear salute with the hand at the cap brim. "salute" easily leaves the arm ambiguous, so adding a clothing term that includes a peaked cap — "military or naval uniform" — pins down the hand position.

Prompt
1 cute girl, beautiful, masterpiece, extremely fine and beautiful,((military or naval uniform)),salute,short hair,wavy hair,blonde hair,blue eyes,(((ruins)))
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8

Spread Legs

Spread Legs

A man in a suit sitting with legs apart on a sofa. "spread legs" vanishes in an upper-body crop, so a seated pose and a full-body angle are prerequisites.

Prompt
1 good looking guy,spread legs,suit
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9

Wet Body

Wet Body

A uniformed figure turning back at a rainy waterside. That said, the wetness is subtle — even in brackets, "wet body" is a weak term. Pairing it with "rain" is essentially mandatory.

Prompt
((from behind)),short hair,(((wet body))),((rain))
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10

Hugging

Hugging

A woman hugging a man outdoors. Multi-person scenes break easily, but stating who does what to whom in word order — "woman hugs man" — stabilises it.

Prompt
woman hugs man,smiling
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Three Moves to Keep a Fine-Grained Word

As a rule, the finer the word, the more easily it gets washed out — aegyo sal and split tongue are typical. When it does not appear, switch tactics in this order.

1
Fall back to a broader word

"split tongue" was written with "tongue out" so the tongue came out first. Fine words survive when you build the base with a broader word and add the detail on top.

2
Add a contextual word

If the salute won't land, add "military uniform"; for a wet body, add "rain". Giving a scene where the action or state occurs raises accuracy.

3
Try a different art style

Tongue-out was more stable in a 2D style. A word that fails in photoreal sometimes lands once you change the style. Try it in the prompt generator.

Volume one is here. More examples in the image list.

Frequently Asked Questions (FAQ)

Why do fine-grained words get washed out?

Because words with less training data lose out to stronger neighbouring words. Placing a broad base word first and adding the fine word on top makes it land more often.

Why are some examples male?

Because trait words do not depend on gender. Here the spread-legs and hugging examples feature men; you can reuse the same words by swapping only the subject.

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Sample Movie & Image List

LoRA/LyCORIS
Character
Animal
Image for Control Net