{"id":3831,"date":"2024-02-10T10:36:39","date_gmt":"2024-02-10T02:36:39","guid":{"rendered":"https:\/\/www.1ai.net\/?p=3831"},"modified":"2024-02-10T10:36:39","modified_gmt":"2024-02-10T02:36:39","slug":"emu-video-meta%e6%8e%a8%e5%87%ba%e7%9a%84ai%e8%a7%86%e9%a2%91%e7%bc%96%e8%be%91%e5%b7%a5%e5%85%b7","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/3831.html","title":{"rendered":"Emu Video: AI video editing tool from Meta"},"content":{"rendered":"

\"\"<\/p>\n

Emu Video<\/a> It is a simple and efficient text-to-video generation method that uses a diffusion model and is based on Emu Edit. The development team explained that this video generation architecture can handle a variety of external input methods, including text, images, and graphic combinations. In addition, Emu Video can also accept text prompts and "animate" user-provided images, thus providing "capabilities that surpass previous models."<\/p>\n

Emu Video splits the video generation process into two steps: first, generating images based on text prompts, and then generating videos based on text and generated images. This split-step video generation method allows researchers to effectively train generative models.<\/p>\n

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Target group:<\/p>\n

\"It can be applied to advertising production, education and training, multimedia creation and other scenarios\"<\/p>\n<\/div>\n

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Example usage scenarios:<\/p>\n

Use Emu Video to generate promotional videos<\/p>\n

Use Emu Video to create educational training videos<\/p>\n

Multimedia creation with Emu Video<\/p>\n<\/div>\n

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Product Features:<\/p>\n

Generate high-quality images from text<\/p>\n

Generate high-quality videos from text and generated images<\/p>\n

Efficiently training video generation models<\/p>\n<\/div>\n

Official website address:https:\/\/emu-video.metademolab.com\/<\/a><\/p>\n

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 <\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"

Emu Video is a simple and efficient text-to-video generation method that utilizes the diffusion model and is based on Emu Edit. The development team explains that this architecture for generating video can cope with a variety of external inputs, including text, images, and graphic combinations, and that Emu Video can also accept text-based prompts to \"animate\" user-supplied images, providing \"capabilities that go beyond past models. Emu Video splits the movie generation process into two steps, first generating images based on text prompts, and then generating video based on the text and generated images. This step-by-step approach to movie generation allows researchers to effectively train generative models. Demand demographics: \"Can be applied to<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[138,145],"tags":[1220,1219],"collection":[],"class_list":["post-3831","post","type-post","status-publish","format-standard","hentry","category-product","category-shipin","tag-ai","tag-emu-video"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/3831","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=3831"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/3831\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=3831"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=3831"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=3831"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=3831"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}