GPT Image 2 Image Generator
Prompt-faithful layouts, diagrams and clean product shots from OpenAI — when the written brief has to stay in control.
Prompts to try with GPT Image 2
Browse examples for editorial covers, workflow diagrams, flat illustration and study-card grids. Click a result to load its full prompt.
What GPT Image 2 is good at
It follows instructions
Three objects means three, top-left means top-left, and “leave room for a headline” leaves room. Specific briefs land closer on the first try.
Layouts and covers
Magazine covers, poster grids and title cards come back as compositions with real margins and hierarchy, not a picture with text dropped on top.
Diagrams and charts
Labelled blocks, arrows, legends and captions hold their structure — reach for it when the image has to explain something.
Clean product shots
A single object, even lighting, a soft contact shadow and a genuinely white background — with up to eight reference images when you need product or style guidance.
Flat illustration
Isometric scenes, editorial spot art and two-colour vector styles stay consistent across a set, so a whole page looks like one commission.
Aspect ratio control
Pick the frame before generating so the composition is built for that ratio instead of being cropped afterwards.
Why use GPT Image 2 for prompt-faithful images and layouts?
GPT Image 2 from OpenAI follows counts, placement and layout instructions closely. It is the lower-cost GPT option for covers, diagrams and flat illustration. For faster iteration with references, step up to GPT Image 2.5 Flare; for precision materials and multi-turn edits, use Sunburst. For photographic text density, prefer Nano Banana Pro.
How to write a GPT Image 2 prompt
Separate what the image contains from how it is arranged and how it should look, then lock any required text or counts.
Specify counts and relationships
Write “exactly four blocks connected left to right” or “one chair centred below the headline”. Concrete relationships make instruction following measurable.
Separate content, layout and style
Describe the subject first, then the page hierarchy or camera framing, and finish with medium, palette and lighting.
Lock required copy verbatim
Put exact text in quotation marks, say where each line belongs and prohibit extra words. Short, deliberately placed copy is more reliable.
Other image models
Same generator, different strengths. Switch models when you need more detail, clearer text, faster drafts, or tighter layout control.
Fast GPT Image 2.5 default for iteration — 10 credits, up to 8 refs. Escalate to Sunburst for precision.
Precision GPT Image 2.5 for materials and multi-turn edits — 10 credits, same band as Flare.
Faster, lighter Nano Banana for daily aesthetic shots and light edits — 10 credits, up to 4K.
Alibaba Qwen for dense layouts, small text and multilingual typography — 10 credits, 1K/2K.
Photoreal FLUX.2 with up to 8 refs and 1K/2K — 15 credits. Replaces FLUX Schnell for finished photographic work.
Google DeepMind / Gemini Pro image for legible text, dense scenes and fine detail — 15 credits.
GPT Image 2 FAQ
What people ask before their first image on GPT Image 2.
What is GPT Image 2?
It is OpenAI’s precision-friendly image model for layouts, diagrams and prompt-faithful illustration. It reads a specific brief and renders what the brief actually says.
How much does one image cost?
8 credits per generated image, charged when the image is delivered. A generation that fails is not charged.
When should I use Flare, Sunburst or Nano Banana Pro instead?
GPT Image 2.5 Flare (10 credits) is better and faster for day-to-day iteration with up to eight references. Sunburst (10 credits) holds materials and grids for production edits. Nano Banana Pro (15 credits) wins on dense photographic text and fine detail.
Is it better for layouts or diagrams?
Both. Covers and poster grids benefit from its margins and hierarchy; labelled workflow diagrams benefit from counts, arrows and captions that stay structured.
Do I need an OpenAI account or an API key?
No. Choose GPT Image 2 in the shared model picker and use the same account and credits as every other model.
Can I batch images or use references?
Each run returns one image. You can attach up to eight reference images for style or product guidance.