Retrato y producto
Retrato dark gothic lolita
Thinking mode. Create a dark Gothic Lolita fashion portrait of an adult woman in a decaying Victorian bedroom, styled as a haunted analog-si…
Empezar gratis → Independent guide site · GPT Image prompts & tutorials
GPTImage Prompts — Write better GPT Image 2 prompts, ship visuals faster
Prompt library · blogs · step-by-step tutorials for GPT Image 2 / gptimage 2. Copy prompts, learn workflows, then open the App workbench to generate — we are not an official OpenAI site.
Featured GPT Image prompts
Pick a copy-ready prompt by scene, then try it in the workbench
Diseño de póster
Banner rebajas 618
Thinking mode, 16:9 e-commerce banner. Headline "MEGA SALE" (bold red sans #E63946), sub "Spend $299 save $50". Product group on right, copy…
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E-commerce
Set escena lifestyle
Thinking mode, white wireless earbuds, 6× 1:1 lifestyle shots: cafe desk, subway commute, gym, outdoor run, airplane tray, minimal white her…
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UI / Interfaz
Dashboard SaaS oscuro
Thinking mode, 16:9 desktop screenshot style. B2B SaaS analytics dashboard, dark #0F172A, left nav, four KPI cards, 12-month revenue line ch…
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Redes sociales
Portada Xiaohongshu
Thinking mode, 3:4 vertical cover. Title "Weekly Outfit Formula" (handwritten style), 4 OOTD thumbnails in grid, cream tones, magazine colla…
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Cómic / Storyboard
Manga de 4 viñetas
Thinking mode, Japanese 4-panel vertical manga "umbrella in the rain". Male lead: black hair, glasses, blue shirt. Dialogue in quotes per pa…
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Reviews, vertical visual workflows, and practical prompt tips
Proporción y zonas seguras en GPT Image: recorte y texto
Septiembre 2026: fija un encuadre con GPT Image 2 / gptimage 2—1:1, 4:5, 9:16, 16:9, Bad→Good y checklist.
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Texto chino en pósters GPT Image: jerarquía, comillas y checklist
Septiembre 2026: pósters y banners en chino con GPT Image 2 / gptimage 2—cómo fijar copy, Thinking, Bad→Good y checklist.
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Edición multi-turno GPT Image: cambia una cosa y entrega limpio
Septiembre 2026: protocolo multi-turno para GPT Image 2 / gptimage 2—cuándo regenerar vs editar, Bad→Good y checklist.
Leer más →Step-by-step tutorials
From thinking mode to batch output — follow along to ship
De la biblioteca al workbench: tu primera imagen GPT Image en 30 min
Tutorial principiante: copia un prompt, genera en el App workbench, edita una dimensión y exporta.
Leer tutorial →Guia practica GPT Image 2.5: Flare, Sketch y acabado Sunburst
Septiembre 2026: de confirmar Images 2.5 a entregar tu primer set de campana—Flare, Sketch, comentarios, Sunburst.
Leer tutorial →Modo Thinking en la práctica
Cuándo usarlo, estructura de prompt, 8 imágenes coherentes.
Leer tutorial →What GPT Image 2 is good at
A quick capability map so your prompts match the model — then practice in the workbench
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Thinking mode
GPT Image 2 can plan layout, check references, self-verify, then generate multiple coherent images.
GPT Image 2 · Thinking Mode✍️
Text rendering
Strong short-text accuracy for English; solid results for Chinese, Japanese, Korean — ideal for posters and UI mockups.
Readable on-image text🖼️
4K output
Up to 4K resolution; aspect ratios from 3:1 to 1:3 for banners, posters and vertical social.
2K / 4K🔧
Easy editing
Region edits, aspect switches and iterative generation — refine prompts across turns.
Multi-turn iteration📦
Batch generation
Multiple images per request — useful for poster series and storyboards.
Batch production🔌
API workflows
Generate + edit style pipelines for teams automating creative assets.
Automation-friendlyFAQ
Common questions about GPT Image 2 prompts and how this guide site works
- How does GPT Image 2 differ from DALL·E?
- GPT Image 2 generates images natively inside a modern multimodal stack, with thinking mode, strong text rendering, and multi-image batch runs — commonly used as a practical successor workflow to older DALL·E-style tools.
- What is GPT Image 2 thinking mode?
- With thinking mode on, the model plans composition, checks references, and verifies text and object counts before outputting multiple coherent images — useful for posters and series with less rework.
- How accurate is GPT Image 2 text rendering?
- Short English text is typically very strong; Chinese, Japanese, Korean and other non-Latin scripts are solid for posters, banners and UI mockups. Always verify critical copy.
- What resolutions and aspect ratios does GPT Image 2 support?
- Common outputs include 2K with higher tiers available; aspect ratios from about 3:1 to 1:3 cover banners, posters and vertical social formats.
- How do I start with GPTImage Prompts?
- Browse our prompt library or tutorials, copy a prompt, then open the gptimage App workbench to generate. For complex series, enable thinking mode.
- Does GPT Image 2 support transparent backgrounds?
- Transparent PNG output is often limited; for cutout-heavy workflows, pair with a dedicated cutout/FLUX-style step.
- What is a practical batch limit?
- Thinking-style runs often produce multiple coherent images per pass — great for poster series, storyboards and e-commerce variants. See our batch tutorial.
- Which commercial use cases suit gptimage 2 prompts?
- E-commerce heroes and detail shots, UI/UX mockups, multilingual ad posters, publishing art, comic storyboards and automated content pipelines.
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