A new study from Google AI Research analyzes how diffusion models synthesize creative imagery. The team decomposes the denoising process to identify where specific visual patterns emerge. This technical deep-dive clarifies the link between training data and generated output. Practitioners can now better predict and control stylistic drift during the sampling phase.