Image Generation
Build an AI image generator with agent-driven prompt optimization
Build an AI image generation system where an agent handles the complexity — refining user prompts for better results, managing style consistency, handling batch generation, and routing to the optimal model for each request.
Architecture
Stack
Implementation
- 1
Set up model integration
Connect to one or more image generation APIs as agent tools. Configure model routing based on style, quality requirements, and cost.
- 2
Build the prompt optimization agent
Create an agent that takes a user's simple description and enhances it with style directives, composition guidelines, and technical parameters for optimal image quality.
- 3
Add style management
Define style presets and brand guidelines. The agent ensures generated images match the desired aesthetic without users needing to specify technical details.
- 4
Implement batch generation
Configure the agent to generate multiple variations, evaluate quality, and present the best results. Support batch jobs for generating image sets.
- 5
Deploy with caching and storage
Set up image storage, caching for common prompts, and a gallery interface. Add content safety filtering before delivery.
What You Get
- Higher quality images through agent-optimized prompts
- Consistent style across generated images
- Intelligent model routing for cost optimization
- Batch generation with automatic quality selection
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