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Factorizing Text-to-Video Generation by Explicit Image Conditioning
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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.
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.
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.
Emu Video generates 512px, 4-second long videos at 16fps.
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.
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.
SellerPic: AI-powered tool for e-commerce. Instantly create high-quality product images, videos, and realistic scenes to boost sales. No skills needed.
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