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Censored Night Bedroom Selfie preview image
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Censored Night Bedroom Selfie

Generates a realistic imperfect nighttime bedroom selfie with a privacy-obscured face, useful for casual social-media style portrait concepts.

This is a gpt-image-2 prompt case for Portrait & Character. Use the copy-ready prompt below to generate similar visuals, and review YouMind OpenLab awesome-gpt-image-2 attribution plus commercial-use rights before reuse.

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Prompt

Copy-ready prompt

Create a candid front-facing smartphone selfie of {argument name="subject" default="a young Asian woman"} sitting on an unmade bed in a dim bedroom at night, framed from the upper thighs to just above the head with one arm extended toward the camera. She has long dark slightly messy hair falling over her shoulders, a slim build, bare shoulders, a fitted white camisole tank top, light denim jeans, and a delicate short pearl or bead necklace. Her face is intentionally covered by a large centered opaque square privacy block in a soft brown skin-tone gradient, obscuring all facial features. The scene feels like an ordinary imperfect iPhone front-camera snapshot sent casually before sleep: no deliberate composition, slight motion blur, low contrast, visible grain, soft uneven warm bedside lighting, mild highlight bloom, and authentic social-media realism. Background includes beige pillows and sheets, a wooden headboard on the left, a plain wall corner, dark curtains on the right, and a warm lamp glow behind her; vertical portrait orientation, realistic photography, muted colors, intimate bedroom atmosphere.

Prompt variables

Editable argument placeholders found in the prompt, with their default values.

1
Variable
subject
Default
a young Asian woman

Reuse and source notes

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  1. 1.Copy the prompt or open it directly in Dovoo with the generation button.
  2. 2.Adjust variables, aspect ratio, and reference images for your own use case.
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Where does this case come from?

This case is imported from YouMind OpenLab awesome-gpt-image-2; keep attribution visible and check the source URL before reuse.