The Continuous Time Consistency Model (sCM) proposed by OpenAI is a generative model that achieves high-quality sample generation in just two sampling steps, offering a significant speed advantage over leading diffusion models. By simplifying theoretical formulas, sCM stabilizes and scales the training of large datasets, greatly reducing sampling time while maintaining sample quality, making real-time applications feasible.