When it comes to text-to-video models, the way they create clips is very similar to the way text-to-image models create images from simple text prompts. In this episode of Hidden Layers, we take a look at how these models operate under the hood - understanding how it uses Temporal Super Resolution and Spatial Super Resolution (SSR) models to create high resolution videos from frames of images. Moreover, you’ll learn how text-to-video models - like Imagen- are an orchestration of various models working together to produce high resolution videos from a single image and text prompt. Resources: Watch our previous episode → https://goo.gle/3XX0bxv Check out Imagen → https://goo.gle/3yvFNsS Chapters: 0:00 - Intro 0:16 - What are text-to-video models? 0:34 - How do text-to-video models create videos? 1:40 - What are the complexities of modeling video? 2:04 - How do we get high-resolution videos from text-to-video models like Imagen? 3:38 - Recap of how Imagen works 3:47 - Leave us questions in the comments! Watch more episodes of Hidden Layers→ https://goo.gle/HiddenLayers Subscribe to the Google Research Channel → https://goo.gle/GoogleResearch