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Emu Video is a state-of-the-art text-to-video generation platform developed by AI researchers at Meta. Unlike other models that require a deep cascade of systems, Emu Video employs a simplified method using diffusion models to create high-quality videos. This two-step process involves generating an image based on a text prompt and then creating a video conditioned on both the image and the original prompt. The platform has shown superior performance in comparison to other leading models, according to human raters who judged the quality and fidelity of the videos produced. Emu Video supports 512px, 16fps, 4-second-long videos, maintaining a high level of efficiency and quality.
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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
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