DiffuEraser is a diffusion model designed for video inpainting tasks, capable of filling masked or missing regions in video sequences. It leverages a diffusion architecture to generate coherent content that matches surrounding frames while maintaining temporal consistency across the video. The model aims to outperform prior approaches like Propainter in both content completeness and temporal consistency, while keeping computational efficiency acceptable. Inference and training code are publicly released.