Portrait Photography
Dark Gothic Lolita portrait
Thinking mode. Create a dark Gothic Lolita fashion portrait of an adult woman in a decaying Victorian bedroom, styled as a haunted analog-si…
Start Creating Free → 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 Design
618 sale banner
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
Lifestyle scene set
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 / Interface
Dark SaaS dashboard
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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Social Media
Xiaohongshu cover
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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Comics / Storyboard
4-panel manga
Thinking mode, Japanese 4-panel vertical manga "umbrella in the rain". Male lead: black hair, glasses, blue shirt. Dialogue in quotes per pa…
Start Creating Free →Latest blogs & scene guides
Reviews, vertical visual workflows, and practical prompt tips
GPT Image Aspect Ratio and Safe Zones: Crop, Frame, and Type Placement
September 2026: Lock one GPT Image 2 / gptimage 2 frame at a time—how to write 1:1, 4:5, 9:16, and 16:9 safe zones, Bad→Good prompts, and a ship checklist.
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GPT Image Chinese Poster Text: Hierarchy, Quotes & QC Checklist
September 2026: Make readable Chinese posters and banners with GPT Image 2 / gptimage 2—how to lock on-image copy, when to use Thinking, Bad→Good prompts, and a ship checklist.
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GPT Image Multi-turn Editing: Change One Thing, Ship Cleaner
September 2026 playbook for GPT Image 2 / gptimage 2 multi-turn edits—when to regenerate vs local edit, Bad→Good prompts, and a QC checklist.
Read more →Step-by-step tutorials
From thinking mode to batch output — follow along to ship
From Prompt Library to Workbench: Ship Your First GPT Image in 30 Minutes
Beginner tutorial: copy a scene prompt on GPTImage Prompts, generate in the gptimage App workbench, run one single-dimension edit, and export.
Read tutorial →GPT Image 2.5 Hands-on Guide: Flare, Sketch & Sunburst Polish
September 2026: From confirming Images 2.5 to shipping your first campaign set—Flare, Sketch, comments, Sunburst step by step.
Read tutorial →Thinking Mode in Practice
When to use it, prompt structure, 8-image coherence, troubleshooting.
Read 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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