IP
Woman Reading at European Street Café preview image
Primary reference image

Woman Reading at European Street Café

This prompt generates a warm, realistic travel-lifestyle portrait of a woman enjoying coffee and a book at a quaint European café table, ideal for editorial, social, or brand imagery.

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.
Try this prompt

Free 1K preview

Generate one preview image instantly, no sign-up required.

1091/4000
Continue on Dovoo

Prompt

Copy-ready prompt

A candid cinematic lifestyle photo of a {argument name="subject" default="young woman"} sitting alone at a tiny weathered metal café table on a narrow cobblestone street in a sunlit old European town. She has shoulder-length wavy {argument name="hair color" default="medium brown"} hair, small gold hoop earrings, and wears a soft beige knit sweater with relaxed blue jeans. She sits with one leg crossed, holding a patterned ceramic coffee cup in one hand while an open paperback book rests on the table in front of her, with her other hand lightly touching the pages. A smartphone lies on the left side of the table. The background shows warm stone buildings with wooden shutters, potted green plants outside the storefronts, and a hanging sign that reads {argument name="cafe sign" default="CAFÉ LUNA"}. A few distant pedestrians appear softly blurred in the far background. Shot at eye level with shallow depth of field, natural golden morning light, soft bokeh, realistic skin and fabric textures, warm neutral color grading, intimate travel editorial photography, vertical composition.

Prompt variables

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

3
Variable
subject
Default
young woman
Variable
hair color
Default
medium brown
Variable
cafe sign
Default
CAFÉ LUNA

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

Prioritized by category, input mode compatibility, quality, and lower risk.

6

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.