Emu Video is a cutting-edge platform for generating high-quality videos from text prompts using diffusion models, developed by AI researchers at Meta.

How does Emu Video work?

Emu Video generates videos through a two-step process: first, it creates an image based on a text prompt, and then it generates a video conditioned on both the image and the original prompt.

What sets Emu Video apart from other text-to-video generation models?

Unlike other models that require a deep cascade of systems, Emu Video uses a simplified method involving only two diffusion models, making it more efficient while maintaining high quality.

What are the specifications of the videos generated by Emu Video?

Emu Video generates 512px, 16fps, 4-second-long videos that are high in quality and fidelity to the original text prompt.

How does Emu Video perform compared to other state-of-the-art models?

Emu Video outperforms other leading models like Make-a-Video, Imagen-Video, and Align Your Latents in both quality and fidelity, according to evaluations by human raters.

Who developed Emu Video?

Emu Video was developed by AI researchers at Meta, including a team of key contributors and collaborators.

Can I try Emu Video myself?

Yes, you can try out Emu Video directly on their website to generate your own videos from text prompts.

What is the purpose of using cookies on the Emu Video site?

Cookies are used to help provide site content and for analytics purposes via Google Analytics. Details are available in their Cookie Policy.

Where can I read more about the research behind Emu Video?

You can read their detailed paper and blog posts available on the Emu Video website.

Who contributed to the development of Emu Video?

A diverse team of researchers and collaborators at Meta, with specific contributions listed in the Acknowledgments section on their website.

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Emu Video

Name: Emu Video
Brand: Emu Video
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Author: Emu Video

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Last updated: August 8, 2024

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What is Emu Video?

Emu Video is a state-of-the-art text-to-video generation platform developed by AI researchers at Meta. Unlike other models that require a deep cascade of systems, Emu Video employs a simplified method using diffusion models to create high-quality videos. This two-step process involves generating an image based on a text prompt and then creating a video conditioned on both the image and the original prompt. The platform has shown superior performance in comparison to other leading models, according to human raters who judged the quality and fidelity of the videos produced. Emu Video supports 512px, 16fps, 4-second-long videos, maintaining a high level of efficiency and quality.

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