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Vintage Soviet Sedan Meadow Portrait preview image
Primary reference image

Vintage Soviet Sedan Meadow Portrait

A retro-themed editorial portrait prompt featuring a subject in the trunk of a vintage car in a rainy meadow, utilizing a reference photo for identity preservation.

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

Create a portrait using the provided reference photo. Do not change the woman's facial features in any way. Keep her face exactly as it appears in the reference image, including her face shape, hair color, eye color, and overall identity.
Vertical editorial portrait, 3:4 aspect ratio, shot on iPhone 17 Pro Max, with moody, desaturated film tones, soft rainy overcast lighting, and a lush green wild meadow in the background.
A woman sits inside the open trunk of a {argument name="car" default="cream-colored vintage Soviet sedan"} parked in a {argument name="setting" default="field"}.
The raised trunk lid frames her naturally, with a Russian license plate visible and raindrops scattered across the wet bodywork.
She is drinking from a glass soda bottle, her head tilted back mid-sip, capturing a playful, candid expression.
She wears a matching {argument name="outfit" default="burgundy velvet sweatshirt"}, white over-the-knee socks, and tall black boots. Her legs are casually lifted over the edge of the trunk. Her long hair is worn loose, slightly damp and tousled from the rain, with a center part.
Cinematic nostalgic retro atmosphere, natural muted iPhone colors, soft film grain, editorial fashion photography, authentic candid energy, shallow depth of field, realistic skin texture, highly detailed.

Prompt variables

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

3
Variable
car
Default
cream-colored vintage Soviet sedan
Variable
setting
Default
field
Variable
outfit
Default
burgundy velvet sweatshirt

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: Image 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.

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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.