# How to Use the gpt-image-2-style-library for Generating Infographic Prompts

> Learn to generate infographic prompts with the gpt-image-2-style-library. This JSON-based tool simplifies prompt creation using named style templates for GPT-Image-2.

- Repository: [苍何/awesome-gpt-image-2](https://github.com/freestylefly/awesome-gpt-image-2)
- Tags: how-to-guide
- Published: 2026-09-06

---

**The gpt-image-2-style-library provides a JSON-based style library with a `getStyle()` helper that transforms named style templates into ready-to-use GPT-Image-2 prompts through simple placeholder replacement.**

The **gpt-image-2-style-library** is a reusable skill in the `freestylefly/awesome-gpt-image-2` repository designed to streamline infographic generation. It packages curated prompt templates as JSON objects with defined placeholders, eliminating manual prompt engineering for common visual formats. This guide covers installation, the core API, and practical implementation patterns drawn directly from the source code.

## Installing the gpt-image-2-style-library

You have two installation paths depending on your workflow.

### Option 1: Direct NPM Installation

```bash
npm install ./agents/skills/gpt-image-2-style-library

```

### Option 2: Using the Provided Install Script

```bash
node ./agents/skills/gpt-image-2-style-library/bin/install.mjs

```

The `install.mjs` script at `agents/skills/gpt-image-2-style-library/bin/install.mjs` handles dependency resolution and copies the library assets into your project structure.

## Understanding the Style Library Structure

The style definitions live in [`data/style-library.json`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/data/style-library.json). Each entry follows a consistent schema:

```json
{
  "name": "modern-infographic",
  "description": "A clean, data-focused infographic with bold colors.",
  "prompt": "Create a modern infographic titled \"{title}\" showing the following data: {data}. Use a blue-green palette and include icons for each bullet point.",
  "placeholders": ["title", "data"]
}

```

Key fields include:

- **name** – Unique identifier passed to `getStyle()`
- **prompt** – The template string with bracketed placeholders
- **placeholders** – Array of required keys you must provide

## Loading Styles with the getStyle() API

The skill exports a `getStyle(name)` function as its primary interface. According to [`agents/skills/gpt-image-2-style-library/package.json`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/agents/skills/gpt-image-2-style-library/package.json), this is the package entry point.

### Basic Usage Pattern

```javascript
import { getStyle } from 'gpt-image-2-style-library';

// Load the style definition
const style = getStyle('modern-infographic');

// Inspect available placeholders
console.log(style.placeholders); // ['title', 'data']

```

The function returns an object containing:

- `prompt` – The template string
- `placeholders` – Array of required replacement keys
- Optional `description` and `tone` metadata

## Building Complete Prompts from Templates

Template population uses straightforward string replacement. You must supply values for every placeholder listed in the style definition.

### Example: Modern Infographic Style

```javascript
import { getStyle } from 'gpt-image-2-style-library';

const style = getStyle('modern-infographic');

const prompt = style.prompt
  .replace('{title}', 'Global Internet Usage 2024')
  .replace('{data}', `
- 4.9B users worldwide
- 65% mobile access
- Growth +12% YoY
`);

console.log(prompt);
// Output: Create a modern infographic titled "Global Internet Usage 2024"...

```

### Chaining Multiple Replacements

For styles with many placeholders, use a reducer pattern:

```javascript
import { getStyle } from 'gpt-image-2-style-library';

const style = getStyle('retro-data-chart');
const data = {
  '{title}': 'Q3 Revenue Breakdown',
  '{metric1}': 'Subscriptions: $4.2M',
  '{metric2}': 'Services: $2.8M',
  '{metric3}': 'Licensing: $1.5M'
};

const prompt = Object.entries(data).reduce(
  (acc, [key, value]) => acc.replace(key, value),
  style.prompt
);

```

## Sending Prompts to the GPT-Image-2 API

The skill integrates with OpenAI-compatible endpoints as defined in [`agents/skills/gpt-image-2-style-library/agents/openai.yaml`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/agents/skills/gpt-image-2-style-library/agents/openai.yaml). Standard HTTPS requests work with any HTTP client.

### Node.js Implementation with node-fetch

```javascript
import fetch from 'node-fetch';

const API_KEY = process.env.OPENAI_API_KEY;

async function generateInfographic(prompt) {
  const response = await fetch('https://api.openai.com/v1/images/generations', {
    method: 'POST',
    headers: {
      'Content-Type': 'application/json',
      Authorization: `Bearer ${API_KEY}`
    },
    body: JSON.stringify({
      prompt,
      n: 1,
      size: '1024x1024'
    })
  });

  const data = await response.json();
  return data.data[0].url;
}

```

### Complete Integration Example

```javascript
import { getStyle } from 'gpt-image-2-style-library';
import fetch from 'node-fetch';

async function createInfographic(styleName, replacements) {
  // 1. Load style
  const style = getStyle(styleName);
  
  // 2. Build prompt
  let prompt = style.prompt;
  for (const [key, value] of Object.entries(replacements)) {
    prompt = prompt.replace(`{${key}}`, value);
  }
  
  // 3. Generate image
  const response = await fetch('https://api.openai.com/v1/images/generations', {
    method: 'POST',
    headers: {
      'Content-Type': 'application/json',
      Authorization: `Bearer ${process.env.OPENAI_API_KEY}`
    },
    body: JSON.stringify({ prompt, n: 1, size: '1024x1024' })
  });
  
  const result = await response.json();
  return result.data[0].url;
}

// Usage
const url = await createInfographic('modern-infographic', {
  title: 'Renewable Energy Share 2024',
  data: 'Solar: 34%\nWind: 27%\nHydro: 22%'
});

```

## Key Source Files Reference

| File Path | Purpose |
|-----------|---------|
| [`agents/skills/gpt-image-2-style-library/package.json`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/agents/skills/gpt-image-2-style-library/package.json) | Package manifest, exposes `getStyle` entry point |
| `agents/skills/gpt-image-2-style-library/bin/install.mjs` | Installation automation script |
| [`data/style-library.json`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/data/style-library.json) | Core JSON template definitions |
| [`agents/skills/gpt-image-2-style-library/agents/openai.yaml`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/agents/skills/gpt-image-2-style-library/agents/openai.yaml) | OpenAI-compatible endpoint configuration |
| [`agents/skills/gpt-image-2-style-library/references/style-library.md`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/agents/skills/gpt-image-2-style-library/references/style-library.md) | Human-readable style documentation |

## Critical Implementation Details

**Placeholder names are case-sensitive.** The `getStyle()` function does not normalize keys—`{Title}` and `{title}` are treated as distinct tokens. Always match the exact placeholder names defined in `style.placeholders`.

**All placeholders must be populated.** The library performs no validation; incomplete templates yield malformed prompts that may degrade image generation quality.

**No built-in content filtering.** The skill passes prompts directly to the API. Implement your own safety checks if exposing generated images publicly.

**Rate limit awareness.** OpenAI endpoints enforce request quotas. Batch operations through Promise.allSettled() for multiple infographics:

```javascript
const jobs = datasets.map(data => 
  createInfographic('modern-infographic', data)
);
const results = await Promise.allSettled(jobs);

```

## Summary

- **Install** via `npm install` or `bin/install.mjs`
- **Load styles** using `getStyle(name)` from the package entry point
- **Populate templates** by replacing placeholders with your data
- **Generate images** through standard OpenAI API calls
- **Reference** [`data/style-library.json`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/data/style-library.json) for available styles and [`references/style-library.md`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/references/style-library.md) for documentation

The gpt-image-2-style-library abstracts prompt engineering into reusable, version-controlled templates while preserving full flexibility for dynamic content injection.

## Frequently Asked Questions

### What styles are available in the gpt-image-2-style-library?

The library ships with multiple infographic styles defined in [`data/style-library.json`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/data/style-library.json). Inspect this file or read [`references/style-library.md`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/references/style-library.md) for the current inventory. Common entries include `modern-infographic` and `retro-data-chart`, with community contributions expanding the collection via pull requests.

### Can I add custom styles to the library?

Yes. The JSON format is straightforward: add an object with `name`, `description`, `prompt` with `{placeholder}` tokens, and a `placeholders` array. Place your entry in [`data/style-library.json`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/data/style-library.json) and reload your application. Submit pull requests to the `freestylefly/awesome-gpt-image-2` repository to share additions.

### Does getStyle() validate that all placeholders are filled?

No. The `getStyle()` function only retrieves the template definition. Validation occurs implicitly when the GPT-Image-2 API receives the prompt—unfilled placeholders result in literal `{key}` text in your generated image description. Implement pre-flight checks in your own code if needed.

### Is the gpt-image-2-style-library tied to OpenAI specifically?

The default configuration targets OpenAI-compatible endpoints per [`agents/openai.yaml`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/agents/openai.yaml), but the skill itself is provider-agnostic. The `getStyle()` output is a plain string suitable for any image generation API accepting text prompts. Adapt the fetch call to your provider's endpoint and authentication scheme.