A new study from Google AI Research analyzes how diffusion models generate creative imagery. The team identifies specific mechanisms that drive visual novelty during the denoising process. This technical deep-dive provides a framework for controlling output diversity. Practitioners can now better tune models to balance strict adherence to prompts with artistic variation.