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Double Exposure Blue Hour Portrait preview image
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Double Exposure Blue Hour Portrait

A dreamy analog photography prompt creating a surreal double exposure effect between a portrait and a sunset horizon.

This is a GPT Image 2 prompt case for Portrait & Character. Use the copy-ready prompt below to generate similar visuals, and review Awesome GPT Image 2 Prompts attribution plus commercial-use rights before reuse.

Need the full prompt set? Use the Portrait & Character topic hub for more related examples, or open the GPT Image 2 prompt library for the full example index, reusable structures, and source attribution.
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Prompt

Copy-ready prompt

Ultra-cinematic dreamy analog portrait photography of a {argument name="subject" default="young woman"} standing outdoors at {argument name="time of day" default="blue hour"} just after sunset, long dark brown hair softly tousled by a gentle breeze, loose strands naturally crossing her face, wearing an {argument name="outfit" default="oversized faded black T-shirt"}, minimal styling, natural skin texture, subtle makeup, calm intimate expression, looking directly into the camera.

Create a surreal in-camera double exposure effect: a glowing golden sunset horizon, soft clouds, distant dark tree silhouettes, and warm orange light are transparently layered across the lower half of her body and chest, as if the landscape is reflected through her silhouette. A horizontal band of warm sunset light drifts across the frame, contrasting with the deep cool blue evening sky. Dreamy atmospheric haze, slight motion softness, gentle lens bloom, imperfect optical ghosting, nostalgic film grain, subtle halation around highlights, muted colors, soft contrast, poetic melancholic mood.

Low-angle medium portrait, centered composition, shallow depth of field, natural wind movement in hair, vintage 35mm film photography, Kodak Portra-inspired color science, soft focus edges, authentic analog imperfections, editorial fine-art photography, no text, no watermark, vertical 4:5.

Prompt variables

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

3
Variable
subject
Default
young woman
Variable
time of day
Default
blue hour
Variable
outfit
Default
oversized faded black T-shirt

Best for

  • - Portrait & Character visual exploration
  • - Image generation and reference-image edits
  • - Reusable briefs that keep source attribution visible

Change these parts

  • - Subject, product, character, or scene
  • - Aspect ratio, camera, lighting, and background
  • - Brand, text, color, and output constraints

Recommended model and settings

  • - Model: gpt-image-2
  • - Input mode: Text to Image
  • - Aspect ratio: source
  • - Commercial status: review original source

How to use this prompt

  1. 1. Copy the prompt and preserve its structure for the first test.
  2. 2. Replace the subject, context, and publishing channel.
  3. 3. Change one camera, lighting, or style variable per iteration.
  4. 4. Inspect the output, source, text, and rights before reuse.

Limitations, source, and reuse cautions

  • - Generated output is an editable draft, not factual, legal, or rights evidence.
  • - Review the linked source, people, brands, logos, text, and third-party media before commercial use.
Imported from Awesome GPT Image 2 Prompts. Attribution is required. Commercial-use status is allowed; review source rights before paid usage.

More cases in this category

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Reuse and source notes

Use this prompt safely after previewing the case.

  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.
  3. 3.Before publishing or paid usage, verify source rights, attribution requirements, and brand or likeness risks.

Can I use this prompt commercially?

Commercial-use status is allowed. Review the original source, license, brand constraints, and legal requirements before paid usage.

Where does this case come from?

This case is imported from Awesome GPT Image 2 Prompts; keep attribution visible and check the source URL before reuse.