huhu.ai
Engineering

Scaling AI Image Generation for Large Catalogs

15 min readUpdated 2025-03-10
D

David Park

Senior Solutions Engineer

Introduction

When working with catalogs of thousands or tens of thousands of SKUs, manual image generation is impractical. This guide covers strategies for scaling AI image generation using the huhu.ai API and batch processing tools.

Batch Processing Setup

The huhu.ai batch API allows you to submit up to 1,000 images per batch. Configure your batch with consistent settings and let our infrastructure handle the parallel processing. Results are delivered via webhook or polling.

API Optimization

Optimize your API usage by pre-processing images to meet resolution requirements, using consistent naming conventions, and implementing retry logic with exponential backoff for transient failures.

Monitoring and Quality Control

Set up automated quality checks on generated images. Our API returns confidence scores that you can use to flag images needing manual review. Implement dashboards to track processing progress and identify issues early.