Woman in copper sequin dress taking a mirror selfie in luxurious bathroom - AI generated image prompt sample

Woman in copper sequin dress taking a mirror selfie in luxurious bathroom

Prompt

A woman with long dark hair takes a mirror selfie while wearing a shimmering copper sequin dress.

Subject: A woman with long, dark wavy hair and a confident expression looking over her shoulder at the camera.

Clothing: She wears a form-fitting, floor-length copper-colored dress covered in dense, reflective sequins that catch the light.

Action: The subject holds a smartphone in one hand to take a mirror selfie while resting the other hand against the glass surface of the mirror.

Environment: The setting is a luxurious bathroom featuring a large vertical mirror, marble flooring, and an orange door frame visible in the reflection.

Camera: Shot from a low angle looking up at the subject through the mirror reflection, emphasizing her silhouette.

Lighting: Bright overhead lighting creates strong highlights on the sequins of the dress and casts soft shadows against the wall.

Style Details: High-gloss aesthetic with vibrant color saturation and sharp focus on the reflective textures of the outfit.

Description

This prompt is useful for creating editorial fashion moodboards, luxury lifestyle advertisements, and personal social media content showcasing outfits. The combination of 'low angle looking up' and 'bright overhead lighting' exaggerates the subject's silhouette while ensuring the 'dense, reflective sequins' catch maximum light, which is crucial for making the metallic texture pop against the marble.

Suggestions

  • Change 'copper-colored dress' to 'bronze sequin gown' for a different warm tone.
  • Add 'bokeh background' to soften the visible bathroom elements.
  • Swap 'low angle looking up' for 'eye-level shot' if you want a more direct portrait.

Category

Tags

BrunetteFemaleFull BodyIndoorsLow AngleRealisticSelfie

Date added

June 19, 2026

Added by

PromptDexter Team

Related Prompts

More prompts with similar categories and tags.