Follow Layered Methods Instructions
Turn algorithms, workflows, and system descriptions into technical figures with specified modules, connectors, labels, legends, and panel order.
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.
Select an academic example to reuse its prompt for a methods figure, results panel, evidence flow, or graphical abstract.
Use an instruction-focused model when one figure must coordinate exact copy, multiple panels, preserved references, and precise local edits.
Turn algorithms, workflows, and system descriptions into technical figures with specified modules, connectors, labels, legends, and panel order.
Coordinate headings, annotations, callouts, and illustrative panels without reducing the prompt to a single visual idea.
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
Give the model a complete visual specification and preserve more of the source material when the task shifts from generation to revision.
Specify headings, labels, legends, and annotations together for diagrams and explanatory figures where text is part of the visual system.
Describe panel order, alignment, spacing, connectors, emphasis, and exclusions in one prompt for a more predictable academic layout.
Assign references to source structure, object identity, layout, content, or visual direction so targeted revisions keep the details that matter.
Reduce avoidable redraws on complex figure briefs while retaining researcher oversight for every scientific claim.
Keep more constraints in one prompt so fewer revisions are spent recovering omitted panels, labels, or relationships.
Fewer Retries
Ask for focused changes to layout, terminology, arrows, palette, and emphasis.
Conversational Editing
Match credit use to early drafts, polished figures, or dense 4K layouts.
Resolution Pricing
Use focused inputs to retain recognizable subjects, product details, layout, or visual context during targeted edits.
High-Fidelity Inputs
Use flexible square, portrait, landscape, and ultra-wide formats.
Broad Ratio Support
Review claims, labels, axes, arrows, anatomy, and evidence before sharing.
Researcher Review
Enter the complete research structure, upload sources for fidelity, then compare the output with every stated constraint.
Paste the methods, caption, or structured outline, including the intended audience, figure purpose, required entities, and relationships.
Assign source images a clear role, then specify exact text, panel order, arrow direction, aspect ratio, resolution, and exclusions.
Check terminology, values, claims, accessibility, and visual integrity before export or publication.
Start with free credits, subscribe for regular figure creation, or purchase a credit pack for your next paper or presentation.
Answers about layered prompts, text rendering, high-fidelity editing, resolution limits, and responsible academic use.
Use GPT Image 2 for layered scientific prompts, text-heavy layouts, and high-fidelity reference edits that are easier to review.
Cancel anytime · Subscription credits are valid for 30 days
For individual researchers who need the complete visual workflow with a practical credit allowance
For teams that need high-volume credits, commercial use, and support across the full workflow