A new study from Google AI Research analyzes how diffusion models generate creative outputs. The team identifies specific mechanisms that drive visual novelty during the denoising process. This technical deep-dive clarifies the link between noise schedules and image diversity. Practitioners can now better tune these parameters to control the balance between fidelity and creativity.