VideoGigaGAN is a video super-resolution (VSR) model based on the large-scale image upsampler GigaGAN. It can generate videos with high-frequency details and temporal consistency. The model significantly improves temporal consistency by adding temporal attention layers and feature propagation modules, and utilizes anti-aliasing blocks to reduce the jaggies effect. VideoGigaGAN has been compared with state-of-the-art VSR models on public datasets and demonstrated 8x super-resolution video results.