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Dark Surreal Organic Portrait

Image promptImagePublic domain (CC0)
49score

Prompt

Aspect ratio 3:4.
A dark surreal portrait of a girl surrounded by strange black shapes. Close-up, chest-up, slightly to the side. Her appearance — facial features, skin tone, hair color — must match the reference. Preserve tattoos, scars, piercings.

Her eyes are fully black, wide and hollow, no visible whites. Pale skin, freckles across the nose and cheeks, soft neutral lips, slightly parted. Slightly  messy hair, strands falling over her face.

Around her head and shoulders — several black glossy organic shapes, like twisted hands or tentacles. They curl around her, framing her face. Embedded inside these black shapes are large realistic human eyes with pale pink skin around them — wet, glossy, staring in different directions. One of the black claw-like shapes reaches toward her cheek.

She wears a plain black high-neck top.

Background: plain pale grey-white, soft gradient, blurred.

Light: soft, cool, diffused from the front. Gentle highlights on the wet eyes and glossy black shapes, soft shadows on her face.

Textures: real clean skin, natural freckles. Wet glossy eyes, reflective. Black organic shapes — smooth, wet, glossy like tar or skin. Slight film grain.

No illustration, no cartoon, no 3D. Dark, unsettling, surreal, quiet.

Context cost: ≈314 tokens when used.

Why this score

Quality checklist33/40
Community votes16/30
Editor pick0/15
Fill-in fields0/10
Discussion0/5

Quality checklist

  • Describes the subject: yes
  • Names a style: yes
  • Specifies lighting: yes
  • Specifies camera or composition: yes
  • Sets quality or detail: no
  • Gives size, duration or parameters: yes

The checklist is automatic and applies the same rules to every prompt. It checks structure, not whether the output is good. Prompt scores aren't comparable with tool scores. How we rank

Security

Scanned Nov 4, 2026 at the text shown on this page, with Cisco's open-source skill-scanner.

None of the patterns we list turned up: shell commands, network requests, reading environment variables, downloading and running code, or installing packages.

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

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