Google AI’s Text-to-Video Diffusion Model Outperforms DALL-E 2

**Google AI’s Text-to-Video Diffusion Model Outperforms DALL-E 2**

**Introduction**

Generative AI has made significant progress in recent years, enabling the creation of realistic images and videos from text descriptions. One of the most notable models in this field is DALL-E 2, developed by OpenAI. However, Google AI has recently unveiled a new text-to-video diffusion model that surpasses DALL-E 2 in several key metrics.

**Google AI’s Text-to-Video Diffusion Model**

Google AI’s text-to-video diffusion model, dubbed Imagen Video, is a state-of-the-art generative model that can create high-quality videos from text prompts. The model is trained on a massive dataset of text-video pairs, allowing it to learn the complex relationships between language and visual content.

Imagen Video employs a diffusion-based approach to generate videos. It starts with a random noise and gradually .

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