TCAN is a novel human character animation framework based on diffusion models that maintains temporal consistency and generalizes well to unseen domains. The framework ensures that generated videos maintain the original image's appearance while adhering to the posture of the driving video and maintaining background consistency through unique modules such as the Appearance-Posture Adaptation Layer (APPA), temporal control networks, and posture-driven temperature maps.