In scientific research, the quality of illustrations can significantly impact how reviewers perceive your paper. A clear mechanism diagram or workflow figure helps reviewers quickly grasp the core findings of your study. However, for most researchers, creating professional scientific graphics using Photoshop or Illustrator represents a high barrier to entry. The emergence of GPT-Image 2 offers an efficient solution to this challenge.

What is GPT-Image 2

GPT-Image 2 is OpenAI’s latest image generation model. Compared to its predecessor, it demonstrates marked advantages in scientific illustration scenarios:

Improved scientific accuracy: Capable of correctly generating molecular structure diagrams, cell tissues, signaling pathways, and model framework illustrations, with more accurate logical relationships between elements
Professional visual style: The generated images feature clear hierarchy and clean color schemes, directly suitable for journal submissions
Stronger long-text comprehension: Allows precise control over element layout, colors, and styles through detailed English descriptions
Complex logical expression: Supports representing causal relationships, process steps, multi-layer architectures, feedback loops, and other logical structures commonly found in scientific figures

GPT-Image 2 Scientific Illustration Example

How to Generate Scientific Illustrations with GPT-Image 2

Step 1: Prepare Core Information

Before starting the generation process, extract the following key content from your paper:

Research title
Core findings from the abstract
Main experimental methods
Key results and conclusions
Core logic of the mechanism or workflow

No need to整理 the entire text—extracting the most essential 1-2 pages of content is sufficient.

Step 2: Write Drawing Prompts

Feed your paper content to an AI assistant (such as ChatGPT) and have it help you refine the content into English drawing prompts suitable for GPT-Image 2. A useful prompt framework follows:

Please analyze the following paper content and generate English drawing prompts suitable for GPT-Image 2.

Paper content: [Paste your paper title, abstract, methods, results, etc.]

Generation requirements:
1. Identify the research field and core scientific question
2. Extract the key mechanism or workflow
3. Determine the most suitable figure type (Graphical Abstract / Mechanism Diagram / Workflow Diagram)
4. List the key visual elements that need to be included
5. Specify layout direction (left-to-right workflow / center-out radial / multi-layer architecture, etc.)
6. Generate 3 English prompts with different styles (concise version, detailed version, high-impact journal style)

Prompt requirements:
- Use clear scientific English
- Avoid excessive text labels in the image
- Emphasize scientific accuracy, logical flow, and visual hierarchy
- Specify visual style, layout, color palette

Step 3: Generate and Iterate

Paste the generated English prompts into GPT-Image 2, select the appropriate image size, and click generate. Usually, you’ll receive a draft within tens of seconds.

If not satisfied, adjust the following aspects and regenerate:

Layout direction and element positions
Color style and palette
Detail level of elements
Description of specific molecules

Typically, satisfactory results can be achieved after 2-3 rounds of refinement.

How to Convert AI Images to Editable Vector Graphics

GPT-Image 2 generates raster images (JPG/PNG) directly. When enlarged, these images become blurry and cannot have their text and elements modified. For situations requiring detailed editing or submission to high-impact journals, you can use the following methods to convert to editable vector format:

Method 1: Adobe Illustrator Image Trace

Create a new artboard in Illustrator (recommended to set to A4 or the size required by your target journal)
Drag the generated image into the artboard
Select the image and click “Window” → “Image Trace”
Core parameter settings:
- Preset: Select “High Fidelity Photo”
- Colors: Set between 20-30
- Paths: Approximately 50%
- Corners: Approximately 30%
- Noise: Approximately 10px
After adjusting parameters, click the “Expand” button
Select the graphic, right-click and choose “Ungroup” to edit individual elements

Method 2: Convert to Editable PowerPoint

If your AI-generated image resembles slides or infographic-style content, consider using specialized conversion tools to transform the image into PowerPoint format. After conversion, text, shapes, colors, and layout can all be freely modified in PowerPoint.

This method is particularly suitable for:

Poster-style scientific posters
Infographic-type illustrations
Schematics containing clear text annotations

Applicable Scenarios

Scientific illustrations generated by GPT-Image 2 are suitable for the following scenarios:

Type	Description
Paper mechanism diagrams	Showing the working mechanisms of molecules, cells, or signaling pathways
Graphical Abstract	Summarizing the core findings of a paper in one figure
Journal cover images	Cover illustrations for high-impact journals
Proposal/defense technical roadmap	Presenting research plans and technical pathways
Academic presentation illustrations	Auxiliary figures in academic conference presentations

Tips for Better Results

The more specific your prompt, the better

Vague descriptions often fail to produce ideal results. For example:

❌ Not recommended: Draw a biology figure.

✅ Recommended: Create a publication-quality graphical abstract showing PD-1/PD-L1 immune checkpoint blockade mechanism in the tumor microenvironment, with cytotoxic T cells, regulatory T cells, dendritic cells, and tumor cells arranged in a spatial layout. Use a clean biomedical illustration style with soft blue-green-orange palette.

Specify Layout and Style

Adding style descriptions at the end of your prompt can significantly improve results:

Use a left-to-right workflow layout with clean vector-style scientific illustration, soft blue-green color palette, white background, minimal text labels, and publication-ready composition.

Common style keywords include: publication-quality journal figure, graphical abstract style, 3D cutaway visualization, workflow diagram, etc.

Reduce Text Usage

Text in AI-generated images may contain spelling errors. It’s recommended to express meanings through icons and arrows whenever possible. If precise text annotations are needed, consider adding them manually using PowerPoint or Keynote after generation.

Summary

GPT-Image 2 provides researchers with an efficient solution for generating scientific illustrations. By mastering proper prompt engineering techniques and combining them with appropriate vector conversion tools, even those without professional design backgrounds can create publication-ready scientific illustrations.

Start Using GPT-image2