How GPT-Image 2.5 Spotlight Works with Sunburst and Flare Models

GPT-Image 2.5 spotlight operates as a single-page React application that uses a centralized model state variable to toggle between Sunburst (precision-focused) and Flare (speed-focused) models, dynamically updating labels, documentation links, and comparison views in real time.

The freestylefly/awesome-gpt-image-2 repository implements an interactive spotlight feature that lets developers compare OpenAI's newest image generation models. This React-based interface demonstrates how GPT-Image 2.5 spotlight functionality manages dual-model selection through clean state management and conditional rendering. Understanding this implementation reveals how the codebase handles model-agnostic UI patterns while maintaining direct links to official OpenAI documentation.

Centralized State Management for Model Selection

Initializing the Model State

In src/image25/App.jsx, the component initializes with Sunburst as the default model using React's useState hook. The state declaration on lines 62-71 establishes the foundation for all subsequent UI changes:

const [model, setModel] = useState('sunburst');
const modelName = model === 'sunburst' ? 'Sunburst' : 'Flare';

This binary state approach ensures that only one model remains active at any time, simplifying the comparison logic throughout the application.

Radio Button Toggle Interface

The spotlight renders interactive radio buttons on lines 174-176 that allow instant model switching. Each option displays distinct iconography—Sun for Sunburst and Zap for Flare—providing visual cues that reinforce the model characteristics:

{['sunburst', 'flare'].map(value => (
  <label key={value} className="image25-model-option">
    <input type="radio"
           name="image25-model"
           value={value}
           checked={model === value}
           onChange={() => setModel(value)} />
    {value === 'sunburst' ? <Sun size={34} /> : <Zap size={34} />}
    <span>
      <strong>{value === 'sunburst' ? 'Sunburst' : 'Flare'}</strong>
      <small>{t[value]}</small>
    </span>
  </label>
))}

When a user selects a different radio option, the setModel function triggers a re-render that propagates the new selection through all dependent components.

Dynamic Content Updates

Adaptive Label Generation

The spotlight generates contextual labels based on the active model state. On line 76 of App.jsx, the afterLabel constant constructs display text that reflects the current selection:

const afterLabel = result ? result.label[language] : `GPT 2.5 · ${modelName}`;

This ensures the interface consistently displays either "GPT 2.5 · Sunburst" or "GPT 2.5 · Flare" depending on user selection, maintaining clarity during model comparisons.

Contextual Documentation Links

In src/image25/cases.js, the modelDocs object on lines 66-70 maps each model to its specific OpenAI documentation endpoint:

const modelDocs = {
  sunburst: 'https://developers.openai.com/api/docs/models/gpt-image-2.5-sunburst',
  flare:    'https://developers.openai.com/api/docs/models/gpt-image-2.5-flare',
  guide:    'https://developers.openai.com/api/docs/guides/image-generation'
};

The spotlight uses these mappings to dynamically update the "Model details" button href attribute, directing users to the appropriate technical reference based on their current selection:

<a href={modelDocs[model]} target="_blank" rel="noreferrer">
  {t.modelDetails}<ArrowUpRight size={16} />
</a>

Comparison View Rendering

The spotlight displays side-by-side comparisons that adapt based on available data. When a test case includes a result object containing real generation output, the interface renders the generated image alongside the original, annotated with the selected model name. For demo illustrations without real results, the same placeholder image appears on both sides, allowing users to explore the slider interaction without requiring actual API calls.

Summary

• Single-state architecture: The model variable in src/image25/App.jsx drives all UI changes, ensuring consistent behavior across the spotlight interface.
• Icon-driven selection: Radio buttons use Sun and Zap icons to visually distinguish between Sunburst's precision and Flare's speed capabilities.
• Dynamic labeling: The afterLabel construction automatically updates display text to reflect the active model selection.
• Documentation integration: The modelDocs object in src/image25/cases.js maintains direct links to OpenAI's official model specifications.
• Conditional rendering: The spotlight intelligently displays real generation results when available, falling back to demo mode for initial exploration.

Frequently Asked Questions

What is the difference between Sunburst and Flare models in GPT-Image 2.5?

Sunburst prioritizes precision-oriented editing and detailed image manipulation, while Flare focuses on speed-oriented generation for everyday use cases. The spotlight interface represents these distinctions through sun and lightning bolt iconography respectively.

How does the spotlight handle model switching?

The implementation uses React's useState hook to maintain the selected model in component state. When users click a radio button, the setModel function updates the state, triggering a re-render that updates labels, documentation links, and comparison views automatically.

Where are the official documentation links defined?

The documentation URLs reside in the modelDocs object within src/image25/cases.js at lines 66-70. This configuration maps sunburst and flare keys to their respective OpenAI API documentation pages, enabling dynamic link generation based on the current selection.

Can the spotlight display actual image generation results?

Yes, when a comparison case includes a result object with real generation data, the spotlight renders the actual output image alongside the original. If only demo data exists, the interface shows identical placeholder images on both sides to demonstrate the comparison mechanics without requiring live API calls.

{
  "mcpServers": {
    "instagit": {
      "command": "npx",
      "args": ["-y", "instagit@latest"]
    }
  }
}