Rerender_A_Video
This PyTorch implementation introduces a framework for zero-shot text-guided video-to-video translation that prioritizes temporal consistency without requiring training. The method utilizes both key frame and full video translation, incorporating cross-frame constraints and patch matching to maintain style and texture coherence. Supporting existing diffusion models such as LoRA and ControlNet, it offers adaptability for various applications. Experimental outcomes highlight its effectiveness in creating consistent and high-quality videos, marking a progress in video editing techniques.
