Efficient Scaling of Diffusion Transformer Models for Diverse Image Generation Tasks

A novel parameter-efficient scaling strategy, DiffScaler, that enables a single pre-trained diffusion transformer model to perform diverse image generation tasks across multiple datasets and conditions with minimal additional training.