Phased Consistency Models (PCM) is a diffusion-model-based image generation approach that improves the performance of consistency models. It supports integration with Stable Diffusion 3 and Stable Diffusion XL via LoRA adapters, providing deterministic and stochastic sampling modes for few-step image generation. The project releases training scripts, pretrained weights on Hugging Face, and demo spaces.