
Sunlit Cafe Popsicle Portrait
A photorealistic vertical portrait prompt for generating a softly lit young woman with braids and glasses enjoying a popsicle at a wooden cafe table.
Dette er et tilfelle av en GPT Image 2 -ledetekst for Portrett og karakter . Bruk den kopieringsklare ledeteksten nedenfor for å generere lignende visuelle elementer, og gjennomgå Awesome GPT Image 2 Prompts -attribusjonen pluss kommersielle bruksrettigheter før gjenbruk.
Trenger du hele settet med ledetekster? Bruk Portrett og karakter emnehub for flere relaterte eksempler, eller åpne GPT Image 2 rask katalog for den fullstendige eksempelindeksen, gjenbrukbare strukturer og kildeattribusjon.
Free 1K preview
Generate one preview image instantly, no sign-up required.
1532/4000
Spørsmål
Klar til kopiering
Create a warm, photorealistic lifestyle portrait of a young East Asian woman named {argument name="character name" default="Half Done"} sitting sideways on a wooden chair at a wooden table in a softly lit cafe or sunroom. She has long dark brown to black hair in two loose braids, wispy straight bangs, fair skin, round thin metal eyeglasses, large natural eyes, and a gentle smiling expression as she looks directly at the viewer. She is holding a pale yellow popsicle in one hand near her mouth, with her other arm relaxed on the tabletop. Her outfit is a loose oversized {argument name="shirt color" default="white"} T-shirt with a subtle pastel graphic on the chest and light sage green shorts. The composition is a vertical 3:4 portrait, waist-to-knees framing, with her seated at the right side of the table and her legs angled toward the lower left. The setting includes exactly 5 main visible furniture and decor elements: a wooden table, a wooden chair, a softly blurred window on the left, a leafy green houseplant near the window, and shelves or kitchenware in the background. Use golden-hour sunlight streaming from the left, soft haze, shallow depth of field, creamy bokeh, realistic skin texture, delicate highlights on the glasses, natural shadows, and a calm nostalgic atmosphere. Add a small handwritten-style watermark reading {argument name="watermark text" default="HALF_DONE"} in the lower right corner. Avoid anime styling, exaggerated features, extra people, extra hands, distorted glasses, or cluttered text.Promptvariabler
Redigerbare argumentplassholdere funnet i ledeteksten, med standardverdiene.
Variabel
character name
Misligholde
Half Done
Variabel
shirt color
Misligholde
white
Variabel
watermark text
Misligholde
HALF_DONE
Best for
- - Portrett og karakter 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: Tekst til bilde
- - 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.
Importert fra Awesome GPT Image 2 Prompts . Attribusjon kreves. Status for kommersiell bruk er allowed ; sjekk kilderettighetene før betalt bruk.
Flere saker i denne kategorien
Prioritert etter kategori, kompatibilitet med inndatamodus, kvalitet og lavere risiko.
Gjenbruk og kildenotater
Bruk denne ledeteksten på en trygg måte etter at du har forhåndsvist saken.
- 1.Kopier ledeteksten eller åpne den direkte i Dovoo med genereringsknappen.
- 2.Juster variabler, sideforhold og referansebilder for ditt eget brukstilfelle.
- 3.Før publisering eller betalt bruk, kontroller kilderettigheter, krav til kreditering og risikoer knyttet til merkevare eller likhet.





