Google Imagen Video

What is Google Imagen Video?

Google Imagen Video is a text-conditional video generation system developed by Google Research's Brain Team. This system utilizes a cascade of video diffusion models to generate high definition videos based on a given text prompt. By employing spatial and temporal video super-resolution models, Imagen Video can create videos with enhanced quality and fidelity. The system incorporates design choices such as convolutional temporal and spatial super-resolution models, as well as the v-parameterization of diffusion models. Additionally, Imagen Video demonstrates a high level of controllability and world knowledge, allowing for the generation of diverse videos and text animations in various artistic styles, complete with 3D object understanding. This innovative technology enables the generation of high-quality videos with remarkable control and creative flexibility .

Who created Google Imagen Video?

Imagen Video was created by the Google Research Brain Team. The system utilizes a cascade of video diffusion models to generate high-definition videos based on text prompts. The founders and contributors include Jonathan Ho, William Chan, Chitwan Saharia, Jay Whang, Ruiqi Gao, and several others who made equal contributions. Imagen Video aims to enable the generation of diverse videos and text animations in various artistic styles with a high degree of controllability and world knowledge.

Who is Google Imagen Video for?

• Content creator
• Digital Marketer
• Film Editor
• Animator
• Game Developer
• Advertising professional
• Social Media Manager
• Educational content developer
• Virtual reality designer
• Art Director

How to use Google Imagen Video?

To use Google Imagen Video, follow these steps:

1. Input Text Prompt: Begin by providing a text prompt that describes the content you want in the video.
2. Text Encoding: The text prompt is encoded into textual embeddings using a T5 text encoder.
3. Base Video Generation: A Video Diffusion Model generates a 16-frame video at 40×24 resolution and 3 frames per second.
4. Super-Resolution Models: Multiple Temporal Super-Resolution (TSR) and Spatial Super-Resolution (SSR) models are applied to upsample the video.
5. Final Video Output: The process results in a high-definition video consisting of 128 frames at 1280×768 resolution and 24 frames per second, producing a 5.3-second video.

By following these steps, Google Imagen Video utilizes a cascade of video diffusion models to generate high-definition videos based on text prompts efficiently and effectively .