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Image Generator

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.

Stack

EigenForge Agent ForgeImage generation model (DALL-E, Stable Diffusion, Midjourney API)Prompt optimization agentStorage (S3, R2, or GCS)

Implementation

  1. 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. 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. 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. 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. 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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