Lumiere text-to-video model represents a significant leap in video synthesis. It introduces a Space-Time U-Net architecture that generates videos by processing multiple space-time scales. This innovative approach contrasts with traditional methods that create keyframes followed by temporal super-resolution, often resulting in inconsistencies. Lumiere’s model ensures global temporal consistency by synthesizing the entire video duration in one pass. It leverages a pre-trained text-to-image diffusion model, allowing it to produce full-frame-rate, low-resolution videos with remarkable fidelity. The model also supports image-to-video, video inpainting, and stylized generation, broadening the scope for content creation and video editing. While Lumiere empowers novice users to generate visual content flexibly, it also acknowledges the potential risks of misuse for creating fake or harmful content. The developers emphasize the importance of tools for detecting biases and malicious use to ensure safe and fair use.