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Emu Video

Emu Video

Generating videos from text prompts using diffusion models.

Emu Video

About

Emu Video employs a unique approach to text-to-video generation by using diffusion models to factorize the process into two distinct steps: first, by generating an image based on a text prompt and then creating a video conditioned on both the prompt and the generated image. This method allows for the efficient training of high-quality video generation models without relying on a deep cascade of models. Specifically, Emu Video can produce 512px, 4-second long videos at 16fps using only two diffusion models, offering superior results compared to existing models like Make-a-Video and Imagen-Video. This system has been evaluated with human raters who confirmed its state-of-the-art quality and faithfulness to input prompts.

Competitive Advantage

Employs a simple two-step generation process that efficiently creates state-of-the-art quality videos from text inputs.

Use Cases

Text prompts conversion
AI-generated visuals
Short video production

Pros

  • Efficient model training
  • High-quality video output
  • Simple two-step process
  • Superior prompt faithfulness

Cons

  • Limited to 4-second videos
  • Fixed video resolution
  • Restricted to 16fps
  • Specific to text prompts

Tags

Text-to-VideoDiffusion ModelsImage ConditioningHigh Quality VideosAI Video Generation

Pricing

Free

Features and Benefits

Two-Step Generation Process

Utilizes a process of first creating an image and then a video, conditioned on a text prompt, to ensure high-quality results.

4/5 uniqueness

Efficient Use of Diffusion Models

Harnesses two diffusion models to generate videos, making it more resource-efficient than deep cascade models.

5/5 uniqueness

State-of-the-Art Quality

Produces videos that outperform existing models in terms of quality and fidelity to prompts.

4/5 uniqueness

Target Audience

AI and video content professionals

Frequently Asked Questions

Emu Video uses diffusion models to generate videos from text prompts.

The videos are 4 seconds long.

The videos are produced at 512px resolution.

By using a two-step process involving image and video conditioning on prompts.

The research was conducted by a team at Meta.

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