Emu Video | Meta

Factorizing Text-to-Video Generation by Explicit Image Conditioning

Introduction

What is Emu Video?

Emu Video is a state-of-the-art text-to-video generation model that uses diffusion models to generate high-quality videos based on text prompts. It factorizes the generation process into two steps: generating an image conditioned on a text prompt, and then generating a video conditioned on the prompt and the generated image.

Features of Emu Video
  • Generates 512px, 4-second long videos at 16fps
  • Achieves state-of-the-art results in text-to-video generation
  • Allows for efficient training of high-quality video generation models
  • Factorized generation enables efficient training and generation of videos
How to use Emu Video

Try out Emu Video by inputting a text prompt and generating a video. You can also read the paper and blog post to learn more about the technology behind Emu Video.

Price

Emu Video is a research project and does not have a price. However, the technology behind Emu Video has the potential to be used in a variety of applications, including video creation and editing.

Helpful Tips
  • Emu Video is a research project and is not intended for commercial use
  • The technology behind Emu Video has the potential to be used in a variety of applications
  • Emu Video is a text-to-video generation model, and the quality of the generated video depends on the quality of the input text prompt
Frequently Asked Questions

What is the resolution of the videos generated by Emu Video?

Emu Video generates 512px, 4-second long videos at 16fps.

How does Emu Video compare to other text-to-video generation models?

Emu Video achieves state-of-the-art results in text-to-video generation, outperforming other models such as Make-a-Video, Imagen-Video, and Cog Video.

Is Emu Video available for commercial use?

Emu Video is a research project and is not intended for commercial use. However, the technology behind Emu Video has the potential to be used in a variety of applications.

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