Training CoCo: Continuity and Consistency in Subject-Driven Diffusion Models

This project investigates methods to improve identity preservation in generative pipelines by systematically evaluating combinations of fine-tuning and inference-time techniques by systematically evaluating combinations of fine-tuning and inference-time techniques.