Best Prompts for AI Infographics: Nano Banana 2, GPT Image 2, and Seedream Workflows

Infographics are the highest-stakes test of an image model. Get the labels wrong and the chart is misinformation. Get the data wrong and the chart is wrong. Get the layout wrong and the chart is unreadable.

This is the production guide for AI-generated infographics: the 6 prompt patterns that work, the per-model differences (Nano Banana 2 search grounding is unique here), the layout and typography rules, the fact-vs-fiction discipline, and the workflow for shipping infographics that are accurate and publication-ready.

Why infographics are a different problem

Infographics are not "make a beautiful image." They are "make a beautiful image that communicates accurate information — labels, values, axes, legends, hierarchy, data, structure." The model has to get the information right, not just the look.

Three things make this hard:

1. Data accuracy. The labels, values, percentages, and units in the chart must be factually correct. AI models hallucinate data — they invent plausible-looking numbers.
2. Layout integrity. The chart structure (axes, grid, legend, title, source) must be coherent. AI models often produce charts that look like charts but have structural errors.
3. Typography at small sizes. Infographics have text at 6-12pt (labels, axes, legends). The model must render small text legibly.

The fix is to use the right model for the use case, structure the prompt to constrain the data, and verify the output against the source.

The model pick by infographic type

Infographic type	Best model	Why
Static infographic (chart + labels)	GPT Image 2	Strongest text-in-image, best at dense layouts
Editorial explainer (process, comparison)	GPT Image 2 or Seedream 5.0 Lite	Strong at multi-element layouts
Real-time data (weather, news, stock)	Nano Banana 2 with search grounding	Only model that pulls real-time data from Google Search
Educational diagram (anatomy, science)	GPT Image 2 or Seedream 5.0 Lite	Strong at structured visual explanations
Marketing infographic (statistics, social)	GPT Image 2 or Ideogram V3/V4	Strong at data display + branding
Data dashboard / business chart	Seedream 5.0 Lite	Reasoning model handles complex data well
Process flow / cycle diagram	GPT Image 2 or Nano Banana 2	Strong at flow layouts
Comparison graphic (X vs Y)	GPT Image 2	Best at side-by-side layouts

Key takeaways:

• GPT Image 2 wins on most static infographics. Best text-in-image accuracy, best at dense layouts with multiple labels.
• Nano Banana 2 wins on real-time data. Only model with search grounding that pulls live data from Google Search. For "today's weather" or "current stock price" infographics, NB2 is the only option.
• Seedream 5.0 Lite wins on reasoning over data. The reasoning model handles "explain the relationship between X and Y" better than the others.
• Ideogram V3/V4 is the strong alternative for marketing-style infographics.

The 6 prompt patterns for infographics

Pattern 1: Process / flow diagram (steps in sequence)

The "explain how X works" infographic. Steps, arrows, labels, icons. Used for onboarding, tutorials, product explainers.

The prompt structure (works across all 4 models):

A horizontal process flow infographic showing 4 steps from left to right:
Step 1: "Discover" — icon: magnifying glass, brief text: "Browse
trending prompts"
Step 2: "Customize" — icon: sliders, brief text: "Adjust to your
use case"
Step 3: "Generate" — icon: lightning bolt, brief text: "Run the
prompt in your model"
Step 4: "Publish" — icon: paper plane, brief text: "Post to your
platform"

Layout: white background, 4 evenly-spaced circular icons connected
by arrows. Each icon has a label below it in Helvetica Bold 18pt,
with a brief description in Helvetica Regular 12pt. Title at the
top: "How to Use the Prompt Library" in Helvetica Bold 32pt.
Modern minimal style, professional, 1080x1080, no watermark, no
fake URLs, no invented features.

On GPT Image 2 specifically: handles 4-5 step flows well. Specify the layout (horizontal, vertical, circular).

On Nano Banana 2 specifically: good at process flows, can handle 6-8 steps in a single call.

On Seedream 5.0 Lite specifically: reasoning model can infer the relationship between steps if you describe the process in text.

The brand-safety rules:

• "no fake URLs"
• "no invented features"
• "no fake testimonial quotes"
• "no fake statistics"

Pattern 2: Comparison graphic (X vs Y, side-by-side)

The "compare two things" infographic. Two columns, pros/cons, feature comparison. Used for product comparisons, decision guides, "why us vs them" marketing.

The prompt structure (GPT Image 2, optimized for dense text):

A side-by-side comparison infographic with two columns.

Left column (header): "Option A" in Helvetica Bold 24pt, color
deep blue (#1E40AF). Below the header, 4 bullet points in
Helvetica Regular 14pt, each with a checkmark icon:
- "Faster iteration"
- "Lower cost per image"
- "Stronger text rendering"
- "Better for ecommerce"

Right column (header): "Option B" in Helvetica Bold 24pt, color
warm orange (#EA580C). Below the header, 4 bullet points in
Helvetica Regular 14pt, each with a checkmark icon:
- "Higher quality photoreal"
- "Better character consistency"
- "Stronger style transfer"
- "Better for storytelling"

Title at the top: "Option A vs Option B" in Helvetica Bold 32pt,
color: charcoal gray (#1F2937). White background, equal column
widths, modern minimal style, 1080x1080, no watermark, no fake
features, no invented statistics.

Why it works: the headers are in different colors (anchoring each side), the bullet points are in quotes (literal text), the layout is symmetric, the brand-safety rules are explicit.

On GPT Image 2 specifically: the strongest model for this. Use the labeled-sections structure.

On Seedream 5.0 Lite specifically: the reasoning model is good at "explain the difference between X and Y" — useful for comparison content.

The brand-safety rules:

• "no invented statistics"
• "no fake features"
• "no fake testimonial quotes"
• "no fake comparison data"

Pattern 3: Data visualization (chart, graph, data display)

The "show the data" infographic. Bar chart, line chart, pie chart, scatter plot. Used for reports, presentations, social media data stories.

The prompt structure (GPT Image 2, with explicit data):

A vertical bar chart infographic showing 5 categories and their
values.

Categories (left to right):
- "Q1 2026": value "120"
- "Q2 2026": value "180"
- "Q3 2026": value "240"
- "Q4 2026": value "320"
- "Q1 2027": value "410"

Y-axis: 0 to 500, gridlines at 100, 200, 300, 400, 500. X-axis:
category labels below each bar. Each bar is a different color
from a 5-color palette: #1E40AF, #3B82F6, #60A5FA, #93C5FD,
#BFDBFE (gradient blue). Each bar has its value labeled at the
top in Helvetica Bold 14pt, color: charcoal gray.

Title at the top: "Quarterly Active Users" in Helvetica Bold
32pt, color: charcoal gray. Subtitle: "Acme Inc., 2026-2027" in
Helvetica Regular 14pt, color: medium gray. Source line at the
bottom: "Source: Acme Inc. internal data" in Helvetica Regular
10pt, italic, color: medium gray.

White background, modern minimal style, 1080x1080, no watermark,
no invented data.

Why it works: every value is in quotes (literal text), the axis is explicit, the colors are in hex, the source is named.

On GPT Image 2 specifically: the strongest model for charts with readable labels. Specify the data in quotes.

On Seedream 5.0 Lite specifically: the reasoning model is good at "explain the trend in this data" — useful for narrative charts.

The brand-safety rules:

• "no invented data"
• "no fake source"
• "no fake company name"
• "all values must be exactly as written"

Pattern 4: Real-time data (weather, news, stock prices)

The "show what's happening now" infographic. Today's weather, latest news, current stock prices. Used for news, finance, social media.

The prompt structure (Nano Banana 2 with search grounding, unique to this model):

[Enable search grounding: tools: [{"google_search": {}}]]

Visualize the current weather forecast for the next 5 days in
San Francisco as a clean, modern weather chart. Add a visual
on what I should wear each day.

Layout: horizontal layout, 5 days left to right, each day
showing: day name, weather icon, high/low temperature, brief
clothing recommendation. Title at the top: "5-Day Forecast:
San Francisco" in Helvetica Bold 28pt. Footer: "Updated: [today's
date]" in Helvetica Regular 10pt. White background, modern
minimal style, 1080x1080.

Why this is Nano Banana 2 only: the model pulls real-time data from Google Search and renders it as part of the image. Other models hallucinate the data.

The brand-safety rules:

• "use real data, do not invent"
• "show the date updated"
• "no fake source attribution"

Pattern 5: Educational / explanatory diagram (anatomy, science, system)

The "show how X works" infographic. Anatomy, biology, system architecture, scientific concept. Used for education, healthcare, technical content.

The prompt structure (GPT Image 2 or Seedream 5.0 Lite):

A labeled anatomical diagram of the human heart, viewed from
the front. The diagram is a clean, modern medical illustration
on a white background. The heart is in the center, rendered in
realistic red and pink tones with subtle shading. Labels point
to 6 key parts with thin gray lines:
- "Aorta" (top)
- "Pulmonary artery" (upper left)
- "Left atrium" (upper right)
- "Right ventricle" (lower right)
- "Left ventricle" (lower left)
- "Mitral valve" (center)

Each label is in Helvetica Regular 12pt, color: charcoal gray.
Title at the top: "Human Heart: Anterior View" in Helvetica
Bold 24pt. Caption at the bottom: "Simplified anatomical
illustration for educational use" in Helvetica Regular 10pt,
italic, color: medium gray.

Modern minimal style, 1080x1080, no watermark, no invented
labels, labels must be exactly as written.

On GPT Image 2 specifically: the strongest model for labeled diagrams. Specify the labels in quotes, the line style, the label position.

On Seedream 5.0 Lite specifically: the reasoning model is good at "explain the system" — useful for technical diagrams.

The brand-safety rules:

• "no invented labels"
• "all labels must be exactly as written"
• "no fake anatomy"
• "labels must be anatomically correct"

Pattern 6: Marketing infographic (statistics, social cards, brand)

The "communicate a brand message" infographic. Big stat, social card, brand storytelling. Used for marketing, social media, content marketing.

The prompt structure (GPT Image 2 or Ideogram V3):

A modern minimal social media infographic for Acme Inc.

Headline (large, top): "10,000+" in Helvetica Bold 96pt, color:
brand primary (#1E40AF deep blue).
Subhead (below headline): "prompts published" in Helvetica
Regular 32pt, color: charcoal gray.
Body text (below subhead): "Join thousands of creators using
Acme to find the perfect prompt for any image model." in
Helvetica Regular 16pt, color: medium gray.

Brand mark: the "ACME" wordmark in the top-left corner, in
Helvetica Bold 18pt, color: brand primary.
Footer: "acme.com" in Helvetica Regular 12pt, color: medium
gray, bottom-right.

Background: subtle gradient from white at the top to light
blue (#EFF6FF) at the bottom. Modern minimal style, 1080x1080,
no watermark, no fake testimonials, no fake statistics.

The brand-safety rules:

• "no fake testimonials"
• "no fake statistics"
• "no fake URLs"
• "all text must be exactly as written"

The infographic pre-flight checklist

Before you ship an infographic:

1. The data is verified. Every number, label, and value matches the source.
2. The labels are spelled correctly. Use spell-check. AI output has typos.
3. The text is legible at the target size. Open at the target size (1080x1080, 4K, etc.) and verify readability.
4. The layout is balanced. Equal column widths, even spacing, no overlapping labels.
5. The color palette is consistent. Use 2-4 colors max. Specify hex codes.
6. The font is consistent. Use one font family (Helvetica, Inter, Roboto) with 2-3 weights.
7. The source is attributed. "Source: [name]" at the bottom for any data infographic.
8. The brand-safety rules are applied. No fake data, no fake URLs, no fake testimonials.
9. The platform's aspect ratio is correct. 1:1 for Instagram, 9:16 for Stories, 2:3 for Pinterest.
10. The "substantial human editing" is documented if claiming the exception (from the safety post).

Skip any of these and the infographic is either wrong, unreadable, or non-compliant.

The data-accuracy rules (5 rules)

1. All data in the prompt must be in quotes. "10,000+" not 10000. The model needs to see the literal data.
2. The data must match the source. If you have a spreadsheet, paste the values into the prompt. Do not paraphrase.
3. The source must be named. "Source: Acme Inc. internal data" or "Source: US Census Bureau 2026." The model cannot verify the data; the source is your responsibility.
4. The date must be included. "Updated: 2026-06-15" or "Q1 2026." Time-sensitive data without a date is misinformation.
5. Verify the output against the source. Re-read the chart. If a value says "240" but your source says "230," the model invented. Regenerate with the value in quotes.

The typography rules for infographics (5 rules)

1. Use one font family. Helvetica, Inter, Roboto, or IBM Plex Sans. Two weights max (Regular, Bold).
2. Establish a type scale. 10pt / 12pt / 14pt / 18pt / 24pt / 32pt / 48pt. Use 3-4 sizes per infographic.
3. The title is the largest type. 32-48pt. The body is 12-16pt. The source is 10pt.
4. Color the type with intent. Title in brand primary. Body in charcoal gray. Source in medium gray. One accent color for highlights.
5. Use the model's typography strength. GPT Image 2 holds small text best. NB2 is good at 12pt+. Seedream is good at labels.

The model pick by infographic complexity

Complexity	Best model	Why
1-3 elements, simple data	Any of the 4 primary	Low complexity, all models work
4-6 elements, dense labels	GPT Image 2	Best text-in-image at density
7+ elements, complex layout	GPT Image 2	Best at multi-element layouts
Real-time data	Nano Banana 2 with search grounding	Only model with real-time data
Reasoning over data	Seedream 5.0 Lite	Reasoning model handles complex data
Marketing / branded	Ideogram V3/V4 or GPT Image 2	Strong at brand consistency
Multilingual	GPT Image 2	48+ language support
Educational / scientific	GPT Image 2 or Seedream 5.0 Lite	Best at structured explanations

The iteration loop for infographics

Pass 1: Generate with the data in the prompt. Put every value, every label, every quote in the prompt as literal text.

Pass 2: Verify the data. Re-read the output. Every number, every label. If anything is off, regenerate.

Pass 3: Verify the layout. Are the columns even? Are the labels legible? Are the colors consistent? If not, refine the prompt.

Pass 4: Verify the brand-safety rules. No fake data, no fake URLs, no fake testimonials. If the model added any, regenerate with explicit negatives.

Pass 5: Post-process for publication. Apply the post-processing pipeline (color correction, color grading, sharpening, grain) for a publication-ready look.

Pass 6: Final verification at target size. Open the image at the target size (1080x1080, 4K, etc.) and verify readability. If a label is illegible at target size, regenerate at higher resolution or with larger type.

The summary

Infographics are the highest-stakes test of an image model. The fix is:

• Pick the model for the use case. GPT Image 2 for most static infographics, Nano Banana 2 for real-time data, Seedream 5.0 Lite for reasoning over data, Ideogram for marketing.
• Use the 6 prompt patterns (process, comparison, data viz, real-time, educational, marketing) for the right structure.
• Put the data in quotes in the prompt. "10,000+" not 10000. The model needs the literal data.
• Verify the output against the source. Re-read every number, every label, every value.
• Apply the brand-safety rules. No fake data, no fake URLs, no fake testimonials, no invented features.
• Use the typography rules. One font family, a type scale, intentional color, model-appropriate type size.

The model is not the problem. The data accuracy is. Put the data in quotes, verify the output, attribute the source, and apply the brand-safety rules, and AI-generated infographics become a reliable, accurate, publication-ready workflow.