<div class="generator">
<label for="image-prompt">Enter your image prompt:</label>
<textarea id="image-prompt" placeholder="e.g., 'A futuristic city at sunset, cyberpunk style'" rows="3"></textarea>
<button class="primary">Generate Image</button>
<div class="preview">
<p>Generated image will appear here</p>
</div>
</div>
Ai Image Generator
Axiom01 offers a structured UI component for integrating AI-powered image generation capabilities into your web applicat...
AI Image Generator Component
Usage Guidelines
This component provides the front-end UI. You will need to implement the backend logic (e.g., using Node.js, Python) to connect to an AI image generation API (like DALL-E, Midjourney, Stable Diffusion) and handle the image generation process. JavaScript will be used to send the prompt to your backend and display the resulting image in the .preview area.
Accessibility
- Generated images must get meaningful
alttext — use the prompt as a fallback - Show a loading state with
aria-busy="true"during generation - Announce completion via
aria-live="polite" - Provide download/save options as buttons, not bare links
Features
- Semantic Structure - Built with native HTML5 elements for maximum reliability.
- Theme Aware - Automatically adapts to all 22 Axiom01 themes via OKLCH tokens.
- Fully Responsive - Scales perfectly from mobile to desktop screens.
- No JS Dependency - Core functionality relies on pure CSS for maximum performance.
- Customizable - Easily extendable via Axiom01's design tokens and modifiers.
Use Cases
The Ai Image Generator component is designed for versatile implementation across modern web applications. Ideal scenarios include:
- Dashboards & Admin Panels - Structured data presentation and interface control.
- Content Management Systems - Organizing complex information hierarchies and media.
- E-Commerce Platforms - Enhancing product discovery and user workflows.
- Marketing Sites - Highlighting key product offerings cleanly and effectively.
- SaaS Applications - Delivering native-feeling, responsive app experiences.