Image Generator
Build a production API for AI image generation
Build a production-ready API that wraps multiple image generation models behind a unified, scalable interface. An agent handles prompt optimization, model routing, and quality control — while the API manages authentication, rate limiting, and billing.
Stack
Implementation
- 1
Design the API interface
Define endpoints for synchronous generation, async batch generation, and image retrieval. Design the request schema with style, size, and quality parameters.
- 2
Build the routing agent
Create an agent that analyzes each request and routes to the optimal model based on style requirements, quality tier, and cost constraints.
- 3
Implement async processing
Set up a queue-based architecture for handling high-volume requests. Return job IDs for async requests with webhook notifications on completion.
- 4
Add safety and moderation
Implement content safety screening on both prompts and generated images. Block prohibited content before it reaches users.
- 5
Deploy with rate limiting and billing
Configure per-key rate limits, usage tracking, and billing integration. Monitor latency, error rates, and model costs in real-time.
What You Get
- Unified API across multiple image generation models
- Intelligent model routing optimizes quality and cost
- Production-ready with auth, rate limiting, and billing
- Built-in content safety and moderation pipeline
Ready to build this?
Join the Waitlist