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

Provide the exact wording, group labels by panel, define their visual hierarchy, and limit unnecessary copy inside small elements. GPT Image 2 can handle text-heavy structured visuals, but spelling and placement errors remain possible. Verify every label, symbol, count, legend, and arrow before using the diagram.

How do I preserve source details during a GPT Image 2 image-to-image edit?

Upload focused reference images, assign each a role, and describe which identity, structure, content, or style must remain unchanged. Then isolate the requested edit and list exclusions. FigEditor accepts up to sixteen references for GPT Image 2, but a smaller coherent set reduces conflicting visual instructions.

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

Use 1K for quick layout exploration and 2K for the most reliable polished drafts. FigEditor also exposes 4K, but results above the model's documented 2K reliability boundary can be more variable. Some extreme ratios are unavailable at higher resolutions, and no resolution guarantees accurate scientific content.

Can GPT Image 2 create scientific data?

GPT Image 2 may create illustrative visual content, but generated charts, microscopy, measurements, and observations must not be presented as real experimental evidence. Use verified source data for quantitative claims, check every plotted value, and clearly label synthetic or conceptual material.

Can I submit the output to a journal?

A generated draft may be prepared for submission only after careful review. Check the target journal’s AI and image policies, verify all scientific content, retain source materials and prompts, confirm permissions for references, and disclose AI assistance wherever the journal or institution requires it.

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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.

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.

Follow Layered Methods Instructions

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

Compose Dense Text and Visual Hierarchy

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

Preserve Inputs During Targeted Edits

Revise one section of a source figure while asking the model to retain the important identity, layout, branding, or structure of the input.

Model strengthsGPT 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 up to Sixteen High-Fidelity Inputs

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

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 more constraints in one prompt so fewer revisions are spent recovering omitted panels, labels, or relationships.

Fewer Retries

Describe Precise Revisions

Ask for focused changes to layout, terminology, arrows, palette, and emphasis.

Conversational Editing

Choose the Needed Resolution

Match credit use to early drafts, polished figures, or dense 4K layouts.

Resolution Pricing

Preserve More Reference Detail

Use focused inputs to retain recognizable subjects, product details, layout, or visual context during targeted edits.

High-Fidelity Inputs

Fit Journals and Presentations

Use flexible square, portrait, landscape, and ultra-wide formats.

Broad Ratio Support

Verify Every Scientific Element

Review claims, labels, axes, arrows, anatomy, and evidence before sharing.

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, figure purpose, required entities, and relationships.

Step 2: Upload References and Choose the Layout

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

Step 3: Generate and Perform Scientific QA

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

Workflow from research description and references to a reviewed GPT Image 2 scientific figure

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.

GPT Image 2 Scientific Figure Generation FAQ

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

GPT Image 2 is stronger at following layered instructions, placing text within structured layouts, preserving details from high-fidelity inputs, and completing targeted edits with fewer retries. These gains make it better suited to dense methods diagrams, explanatory figures, compositing tasks, and revisions where several constraints must hold at once.

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.

GPT Image 2: Get Complex Scientific Figures Right Faster

GPT Image 2 Academic Figure Gallery