Image Generation Pipeline: Cost Optimization (Assessment & Implementation)

Assess and optimize an AI-powered image generation pipeline to reduce infrastructure and inference costs while maintaining output quality and performance. Analyze the current workflow, identify cost bottlenecks (GPU usage, API calls, storage, and data transfer), and implement practical optimizations such as model selection, batching, caching, quantization, and efficient resource utilization. Deliver a scalable, production-ready pipeline with measurable cost savings and performance improvements.