

Emu Video
Overview :
Emu Video is a simple text-to-video generation method based on diffusion models, which decomposes the generation process into two steps: first, generate images based on text prompts, and then generate videos based on the prompts and generated images. The decomposition-based generation method can efficiently train high-quality video generation models. Compared with previous methods, our method only uses two diffusion models to generate videos with a resolution of 512 pixels, a playback speed of 16 frames per second, and a duration of 4 seconds.
Target Users :
Can be applied to scenarios such as ad production, educational training, and multimedia creation.
Use Cases
Use Emu Video to generate ad promotional videos
Use Emu Video to create educational training videos
Use Emu Video for multimedia creation
Features
Generate high-quality images based on text
Generate high-quality videos based on text and generated images
Efficiently train video generation models
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