{"id":33867,"date":"2025-04-23T12:23:22","date_gmt":"2025-04-23T04:23:22","guid":{"rendered":"https:\/\/www.1ai.net\/?p=33867"},"modified":"2025-04-23T12:23:33","modified_gmt":"2025-04-23T04:23:33","slug":"magi-1%ef%bc%9a%e5%9b%be%e7%94%9f%e8%a7%86%e9%a2%91%e6%a8%a1%e5%9e%8b%ef%bc%8csand-al-%e5%bc%80%e6%ba%90%e7%9a%84%e9%a6%96%e4%b8%aa%e8%87%aa%e5%9b%9e%e5%bd%92%e8%a7%86%e9%a2%91%e7%94%9f%e6%88%90","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/33867.html","title":{"rendered":"MAGI-1: Graph-Generated Video Model, Sand Al Open Source's First Autoregressive Video Generation Model"},"content":{"rendered":"

\"7e64204fj00sv5lef001id000oc00fkp\"<\/p>\n

MAGI-1<\/a> is the world's first autoregression open-sourced by Sand AIVideo Generation of Large Models<\/a>A self-regression structure is used to generate natural and fluid video by predicting the video series on a block-by-block basis, to support unlimited expansion and one-stop long video generation. Models can have a primary resolution of 1440 x 2568, generating a smooth and accurate video movement with controllable generating capacity that allows smooth landscape conversion and fine particle control through a break-in\u3002<\/p>\n

MAGI-1 Features<\/strong><\/span><\/h2>\n
    \n
  1. Efficient Video Generation: MAGI-1 can generate high-quality video clips in a short time, for example, generating a 5-second video takes only 3 seconds, and generating a 1-minute video can be accomplished in 1 minute. Generation efficiency is greatly improved by block generation (24 frames per block), block-by-block denoising and parallel processing.<\/li>\n
  2. High security output: The generated video is of high resolution (native 1440 x 2568), is fluent and concrete and suitable for many high-quality video creation needs\u3002<\/li>\n
  3. Unlimited Expansion and Timeline Control: Supports unlimited length expansion, seamless continuation of writing to generate continuous long video scenes, with second-level timeline control capability, users can realize refined scene transitions and editing through block-by-block cueing.<\/li>\n
  4. Controlled Generation: With chunked cues, MAGI-1 supports smooth scene transitions, long-view compositing, and fine-grained text-driven control that generates video content that meets the user's needs based on textual commands.<\/li>\n
  5. Physical Behavior Prediction: excellent performance in physical behavior prediction, can generate actions and scenes that conform to physical laws, suitable for the generation of complex dynamic scenes.<\/li>\n
  6. Real-time deployment and flexible inference: Supports real-time streaming video generation while adapting to a variety of hardware configurations, including the deployment of a single RTX4090 GPU, lowering the threshold for use.<\/li>\n<\/ol>\n

    Github repository:https:\/\/github.com\/SandAl-org\/<\/a><\/p>","protected":false},"excerpt":{"rendered":"

    MAGI-1 is the world ' s first large self-regressive video generation model, using a self-regression architecture, to generate natural and fluid video generation by predicting the video series on a block-by-block basis, supporting unlimited extension and one-stop long video generation. Models have a primary resolution of 1440 x 2568, generating a smooth and accurate video movement with controllable generating capacity that allows smooth landscape conversion and fine particle control through a break-in. MAGI-1 function Efficient video generation: MAGI-1 produces high-quality video clips in a short time, e.g. a five-second video takes 3 seconds and a one-minute video can be produced within 1 minute. Largely increasing the efficiency of the generation by creating a block-by-block (24 frames per block) by removing the noise and processing it in parallel. Koba<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[138,140],"tags":[2481,6409,2958],"collection":[],"class_list":["post-33867","post","type-post","status-publish","format-standard","hentry","category-product","category-qita","tag-ai","tag-magi-1","tag-2958"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/33867","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=33867"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/33867\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=33867"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=33867"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=33867"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=33867"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}