Video-P2P is a research implementation enabling text-guided video editing using diffusion models. It extends cross-attention control techniques from image editing to the video domain, allowing users to modify video content through textual prompts while preserving temporal consistency. The system builds on Stable Diffusion and incorporates techniques from prompt-to-prompt for maintaining structural integrity during editing.