Case Study

AI Ad Generator

A generative AI pipeline for turning product images into consistent, marketing-ready ad visuals across multiple scenes and styles.

Problem

Generating consistent product visuals across multiple scenes is difficult because diffusion models introduce randomness. A product can drift in shape, color, identity, or styling between outputs, which makes ad generation unreliable for real-world use.

Approach

Built a structured pipeline using LoRA fine-tuning and prompt-controlled generation to preserve product identity while still enabling scene diversity. The system was designed to support repeatable workflows instead of one-off image generation.

Architecture

• Input layer accepting product image and scene prompts
• LoRA training pipeline for identity preservation
• Stable Diffusion generation step for controlled scene creation
• Optional animation/video stage for ad-like motion output
• Modular asset flow from prompt to final creative output

Impact

Enabled scalable generation of marketing-ready product visuals and demonstrated how AI could support automated ad content creation with stronger consistency, realism, and production usability.