What is Emu Video
Emu Video is a simple method for text-to-video generation based on diffusion models, factorizing the generation 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
- Factorized generation allows for efficient training of high-quality video generation models
- Only requires two diffusion models to generate 512px, 4-second long videos at 16fps
- State-of-the-art results compared to other text-to-video generation models
- Generates videos that are convincing in terms of quality and faithfulness to the prompt
How to Use Emu Video
- Enter a text prompt to generate an image
- The generated image is then used to condition the generation of a video
- The video is generated based on the prompt and the generated image
Pricing
No pricing information is available on the website.
Helpful Tips
- Emu Video uses cookies and similar technologies to help provide content on the site and Google Analytics for analytics purposes
- Users can learn more about cookies and how they are used in the Cookie Policy
- Emu Video is a research project by AI at Meta, and the website provides a demo and blog for users to try out the technology and learn more about it
Frequently Asked Questions
- What is Emu Video?
- Emu Video is a simple method for text-to-video generation based on diffusion models.
- How does Emu Video work?
- Emu Video factorizes the generation into two steps: generating an image conditioned on a text prompt and then generating a video conditioned on the prompt and the generated image.
- What are the features of Emu Video?
- Emu Video has factorized generation, state-of-the-art results, and generates convincing videos in terms of quality and faithfulness to the prompt.
- How can I use Emu Video?
- Users can enter a text prompt to generate an image, and then the generated image is used to condition the generation of a video.
