Phased Consistency Model (PCM) is a novel generative model designed to address the limitations of Latent Consistency Model (LCM) in text-conditioned high-resolution generation. PCM improves generation quality throughout training and inference stages using innovative strategies, and its effectiveness in combination with Stable Diffusion and Stable Diffusion XL base models has been validated through extensive experiments at various steps (1, 2, 4, 8, 16).