
Weather Vending Machine Comparison
A cinematic split-screen desert advertisement comparing two versions of a colossal vending machine that dispenses different kinds of weather.
Dette er et tilfelle av en GPT Image 2 -ledetekst for Produkt og kommersiell . Bruk den kopieringsklare ledeteksten nedenfor for å generere lignende visuelle elementer, og gjennomgå Awesome GPT Image 2 Prompts -attribusjonen pluss kommersielle bruksrettigheter før gjenbruk.
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Create a split-screen comparison image showing two premium cinematic advertising photographs side by side, separated by a thin vertical white divider. The scene is a vast red desert at dusk with dramatic storm clouds, orange sunset glow on the horizon, distant mesas and rock spires, and wet reflective patches on the desert floor. In both panels, place a colossal dark metallic vending machine standing alone, labeled at the top with glowing warm-white text: “CHOOSE YOUR WEATHER”. The machine sells weather instead of snacks, with exactly five large glass display shelves containing: 1) a miniature thunderstorm with dark clouds and lightning, 2) a swirling blizzard over snowy mountains, 3) a glowing sunset sky, 4) a tornado over dusty plains, and 5) green-purple aurora lights over a night landscape. Include a woman in a long cobalt-blue coat and black boots standing beside the vending machine, seen from behind or side-back, reaching toward the selection buttons. The vending machine has a side payment/control panel with small glowing code buttons, a digital price display reading “SKY: $2.00”, and a collection slot. Add black rectangular title tags at the top of each panel: left tag reads {argument name="left model label" default="MONA-LISA-1"}, right tag reads {argument name="right model label" default="GPT IMAGE 2"}. Make the left panel slightly closer and more imposing, with readable small shelf labels such as A01 THUNDERSTORM, B07 BLIZZARD, C03 SUNSET, D09 TORNADO, and E05 AURORA; make the right panel a cleaner vertical machine design with the same five weather windows. Use ultra-realistic photography, cinematic lighting, high contrast, glossy glass reflections, moody atmosphere, premium sci-fi advertising style, sharp detail, 16:9 landscape composition, no extra text beyond the vending machine signage, shelf labels, price display, and model tags.Promptvariabler
Redigerbare argumentplassholdere funnet i ledeteksten, med standardverdiene.
Variabel
left model label
Misligholde
MONA-LISA-1
Variabel
right model label
Misligholde
GPT IMAGE 2
Best for
- - Produkt og kommersiell 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.





