RERENDER A VIDEO is a novel zero-shot text-guided video-to-video translation framework that applies image modeling techniques to the video domain. The framework consists of two main parts: keyframe translation and full video translation. The first part utilizes an adaptive diffusion model to generate keyframes and employs hierarchical cross-frame constraints to ensure consistency in shape, texture, and color. The second part propagates these keyframes to other frames through time-aware patch matching and frame blending. Our framework achieves global style and local texture temporal coherence at a low cost without the need for retraining or optimization. This adaptability allows our framework to leverage existing image diffusion techniques, such as customizing for specific themes using LoRA and introducing additional spatial guidance with ControlNet. Extensive experiments demonstrate the effectiveness of our proposed framework in generating high-quality and temporally coherent videos.