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OPENAI IMAGE GENERATION FOR RESEARCH

GPT Image 2: Get Complex Scientific Figures Right Faster

GPT Image 2, OpenAI's image generation model, is available in FigEditor for layered instructions, text-heavy layouts, and high-fidelity reference editing with fewer retries.
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Academic prompt examples

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Generated scientific figure result
Scientific figure gallerySelect an example to reuse its academic prompt

GPT Image 2 Academic Figure Gallery

Select an academic example to reuse its prompt for a methods figure, results panel, evidence flow, or graphical abstract.

Create Text-Heavy Figures and High-Fidelity Revisions

Use an instruction-focused model when one figure must coordinate exact copy, multiple panels, preserved references, and precise local edits.

01

Follow Layered Methods Instructions

Turn algorithms, workflows, and system descriptions into technical figures with specified modules, connectors, labels, legends, and panel order.

02

Compose Dense Text and Visual Hierarchy

Coordinate headings, annotations, callouts, and illustrative panels without reducing the prompt to a single visual idea.

03

Preserve Inputs During Targeted Edits

Revise one section of a source figure while retaining the important identity, layout, palette, and structure of the input.

MODEL STRENGTHS · GPT IMAGE 2

Fewer Retries for Layered Layouts and Precise Edits

Give the model a complete visual specification and preserve more of the source material when the task shifts from generation to revision.

Place More Exact Text in One Composition

Specify headings, labels, legends, and annotations together for diagrams and explanatory figures where text is part of the visual system.

Follow Multi-Layer Layout Instructions

Describe panel order, alignment, spacing, connectors, emphasis, and exclusions in one prompt for a more predictable academic layout.

Edit with High-Fidelity Inputs

Assign references to source structure, object identity, layout, content, or visual direction so targeted revisions keep the details that matter.

Generate with GPT Image 2

Where Stronger Instruction Following Saves Review Time

Reduce avoidable redraws on complex figure briefs while retaining researcher oversight for every scientific claim.

Reach a Usable Layout in Fewer Attempts

Keep constraints, terminology, layout, and references explicit throughout each iteration.

Fewer Retries

Describe Precise Revisions

Keep constraints, terminology, layout, and references explicit throughout each iteration.

Conversational Editing

Choose the Needed Resolution

Keep constraints, terminology, layout, and references explicit throughout each iteration.

Resolution Pricing

Preserve More Reference Detail

Keep constraints, terminology, layout, and references explicit throughout each iteration.

High-Fidelity Inputs

Fit Journals and Presentations

Keep constraints, terminology, layout, and references explicit throughout each iteration.

Broad Ratio Support

Verify Every Scientific Element

Keep constraints, terminology, layout, and references explicit throughout each iteration.

Researcher Review

How to Generate a Precise Figure with GPT Image 2

Enter the complete research structure, upload sources for fidelity, then compare the output with every stated constraint.

Step 1

Enter the Research Content

Paste the methods, caption, or structured outline, including the intended audience and required relationships.

Step 2

Upload References and Choose the Layout

Assign source images a clear role, then specify exact text, panel order, aspect ratio, and resolution.

Step 3

Generate and Perform Scientific QA

Check terminology, values, claims, accessibility, and visual integrity before export.

Three-stage scientific figure workflow

FLEXIBLE PRICING

Choose a plan that fits your figure workload

Start with free credits, subscribe for regular figure creation, or purchase a credit pack for your next paper or presentation.

Basic

$19 $9.5/month

For individual researchers who need the complete visual workflow with a practical credit allowanceSubscribe
  • 5,040 credits/year (≈630 academic illustrations)
  • Commercial License
  • Up to 4K generation
  • Watermark-free downloads
POPULAR

Plus

$39 $19.5/month

For researchers who need more iterations, commercial use, and every advanced visual workflowSubscribe
  • 12,960 credits/year (≈1,620 academic illustrations)
  • Commercial License
  • Up to 4K generation
  • Watermark-free downloads

Enterprise

$69 $34.5/month

For teams that need high-volume credits, commercial use, and support across the full workflowSubscribe
  • 28,800 credits/year (≈3,600 academic illustrations)
  • Commercial License
  • Up to 4K generation
  • Watermark-free downloads

GPT Image 2 Scientific Figure Generation FAQ

Answers about layered prompts, text rendering, high-fidelity editing, resolution limits, and responsible academic use.

What can GPT Image 2 do that earlier OpenAI image models struggled with?

GPT Image 2 is stronger at following layered instructions, placing text within structured layouts, preserving reference details, and completing targeted edits with fewer retries.

How should I prompt GPT Image 2 to render text inside a scientific diagram?

Provide exact copy, hierarchy, panel order, and exclusions. Keep labels short, specify alignment, and verify every term after generation.

Should I use 1K, 2K, or 4K for a scientific figure?

Use 1K for drafts, 2K for most review cycles, and 4K for dense final layouts that need additional label detail.

Can GPT Image 2 create scientific data?

No. Generated figures must not be treated as experimental evidence. Researchers remain responsible for every value, claim, label, and interpretation.

Keep More Constraints. Spend Fewer Tries Fixing the Draft.

Use GPT Image 2 for layered scientific prompts, text-heavy layouts, and high-fidelity reference edits that are easier to review.

Generate with GPT Image 2