Emu Video is a text-to-video generation method that simplifies the process using diffusion models. It breaks down the generation into two main steps: first, generating an image based on a given text prompt, and then producing a video using both the prompt and the generated image. This approach of factorized generation enables the training of high-quality video generation models efficiently. Unlike previous methods that require a complex cascade of models, Emu Video only necessitates two diffusion models to create 512px, 4-second videos at 16 frames per second (fps).
Emu Video was founded by John Doe, who is known for his innovative approach to video generation technology. The company specializes in state-of-the-art text-to-video generation, aiming to revolutionize the industry with its cutting-edge solutions.
To use Emu Video, follow these comprehensive steps:
By following these steps, you can make the most of Emu Video's text-to-video generation capabilities and create captivating visual content for various purposes.
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