The researchers from Nanyang Technological University in Singapore have introduced Upscale-A-Video technology, which enhances the visual quality of low-quality videos through a text-guided latent diffusion method. By employing a local-global temporal consistency strategy, it addresses the challenges faced in video super-resolution, achieving remarkable improvements in real details. Through local fine-tuning and global latent propagation modules, it overcomes the limitations of CNN models in generating textures, enhancing the stability of both local and overall video structures. Upscale-A-Video excels in super-resolution performance, demonstrating higher visual fidelity and finer details, bringing new possibilities to the field of video super-resolution.