A new study from Google AI Research decomposes how diffusion models generate creative imagery. Researchers isolated the specific noise-removal steps that drive novelty versus those that ensure fidelity. This analysis reveals that creativity often stems from early-stage sampling variance. Practitioners can now tune these specific parameters to balance image realism with artistic originality.