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Emu Video

Discover Emu Video: innovative text-to-video generation using diffusion models for producing high-quality videos efficiently.

Generative Video Updated 55 minutes ago
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Emu Video

Emu Video's Top Features

Two-step video generation process
Based on diffusion models
High-quality video output
512px resolution
16fps frame rate
4-second-long videos
Efficient and simplified model
Outperforms other leading models
Developed by Meta AI researchers
User-friendly platform

Frequently asked questions about Emu Video

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

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.

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.

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

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.

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

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

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

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

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

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Category
Generative Video
Tags
text-to-video
AI researchers
Meta
diffusion models
high-quality videos
human raters
512px
16fps

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