
Candid Café Woman with Iced Latte
Generates a realistic vertical lifestyle photo of a stylish young woman waiting in a warm coffee shop, ideal for fashion, café, or calm everyday memory visuals.
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.
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Prompt
Copy-ready prompt
Create a candid full-body lifestyle photograph inside a cozy, busy coffee shop. The main subject is a young {argument name="woman description" default="East Asian woman in her early 20s with soft natural makeup, fair skin, and dark shoulder-length hair in a loose low ponytail with airy bangs"} standing near the café counter, slightly turned in profile and gazing upward thoughtfully as if waiting patiently. She holds a clear plastic cup of iced latte with a straw in one hand, while her other hand is tucked casually into the pocket of her relaxed-fit high-waisted cream trousers. She wears an oversized {argument name="shirt color and fabric" default="sage green linen"} button-up shirt with sleeves loosely rolled to the elbows, wide-leg cream trousers, clean white sneakers, and a large minimalist black leather shoulder tote hanging from one shoulder. The café interior should feel warm and authentic: dark wooden counter and cabinetry on the left, glass pastry display, chalkboard menu boards with small unreadable writing above the counter, shelves with cups and coffee items, warm pendant lights, exposed dark ceiling beams, concrete floor, wooden chairs and small round tables on the right, and a bright window toward the back. Include exactly 7 visible background customers: one woman in a black shirt and blue jeans at the counter on the left, one partially hidden café worker or customer behind the subject, one person in a white shirt facing away near the counter, one woman in black near the middle, one woman in a white T-shirt standing by the service area, and two people near the back window. Use natural documentary photography, realistic proportions, soft ambient café lighting, subtle film-like colors, shallow-to-moderate depth of field, vertical 3:4 composition, eye-level camera, no posed fashion-shoot feeling, no readable branding, no watermark, and no extra text. Mood: {argument name="mood" default="quiet calm, comfort, and unplanned everyday beauty"}.Prompt variables
Editable argument placeholders found in the prompt, with their default values.
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. Copy the prompt and preserve its structure for the first test.
- 2. Replace the subject, context, and publishing channel.
- 3. Change one camera, lighting, or style variable per iteration.
- 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.
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Reuse and source notes
Use this prompt safely after previewing the case.
- 1.Copy the prompt or open it directly in Dovoo with the generation button.
- 2.Adjust variables, aspect ratio, and reference images for your own use case.
- 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.





