Portre ve ürün
Karanlık gotik lolita portresi
Thinking mode. Create a dark Gothic Lolita fashion portrait of an adult woman in a decaying Victorian bedroom, styled as a haunted analog-si…
Ücretsiz başla → 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
Poster tasarımı
618 indirim bannerı
Thinking mode, 16:9 e-commerce banner. Headline "MEGA SALE" (bold red sans #E63946), sub "Spend $299 save $50". Product group on right, copy…
Ücretsiz başla →
E-ticaret
Lifestyle sahne seti
Thinking mode, white wireless earbuds, 6× 1:1 lifestyle shots: cafe desk, subway commute, gym, outdoor run, airplane tray, minimal white her…
Ücretsiz başla →
UI / Arayüz
Koyu SaaS panosu
Thinking mode, 16:9 desktop screenshot style. B2B SaaS analytics dashboard, dark #0F172A, left nav, four KPI cards, 12-month revenue line ch…
Ücretsiz başla →
Sosyal medya
Xiaohongshu kapağı
Thinking mode, 3:4 vertical cover. Title "Weekly Outfit Formula" (handwritten style), 4 OOTD thumbnails in grid, cream tones, magazine colla…
Ücretsiz başla →
Çizgi roman / Storyboard
4 panelli manga
Thinking mode, Japanese 4-panel vertical manga "umbrella in the rain". Male lead: black hair, glasses, blue shirt. Dialogue in quotes per pa…
Ücretsiz başla →Latest blogs & scene guides
Reviews, vertical visual workflows, and practical prompt tips
GPT Image en-boy oranı ve güvenli alan: kırpma ve metin
Eylül 2026: GPT Image 2 / gptimage 2 ile tek oran—1:1, 4:5, 9:16, 16:9, Bad→Good, kontrol listesi.
Devamını oku →
GPT Image Çince poster metni: hiyerarşi, tırnak ve kontrol listesi
Eylül 2026: GPT Image 2 / gptimage 2 ile okunabilir Çince poster/banner—metni sabitle, Thinking, Bad→Good.
Devamını oku →
GPT Image çok turlu düzenleme: bir şeyi değiştir
Eylül 2026: GPT Image 2 / gptimage 2 multi-turn protokolü—yeniden üret vs yerel düzenle, Bad→Good, kontrol listesi.
Devamını oku →Step-by-step tutorials
From thinking mode to batch output — follow along to ship
Prompt kütüphanesinden workbench’e: 30 dakikada ilk GPT Image
Başlangıç: prompt kopyala, App’te üret, tek boyut düzenle, dışa aktar.
Eğitimi oku →GPT Image 2.5 uygulama rehberi: Flare, Sketch ve Sunburst cilasi
Eylul 2026: Images 2.5 dogrulamasindan ilk kampanya setine—Flare, Sketch, yorumlar, Sunburst.
Eğitimi oku →Thinking modu uygulamada
Ne zaman, prompt yapısı, 8 tutarlı görüntü.
Eğitimi oku →What GPT Image 2 is good at
A quick capability map so your prompts match the model — then practice in the workbench
🧠
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.
Ready to create?
Open the workbench free, or subscribe for new prompts, tutorials & updates
Ücretsiz başla