A new study from Google AI Research examines how diffusion models generate creative outputs. The team analyzed the internal mechanisms that drive novelty versus replication in image synthesis. These findings provide a technical framework for controlling output diversity. Practitioners can use these insights to reduce mode collapse in generative pipelines.