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MAGI-1 - Sand AI's first open-source autoregressive video generation model

MAGI-1 is the world's first autoregressive video generation model open-sourced by Sand AI. It adopts an autoregressive architecture to generate smooth and natural videos by predicting video sequences block by block, and supports infinite expansion and one-shot long video generation.

What is MAGI-1?

MAGI-1 is SandAI's open-source, world's first autoregressive video generation model. Employing an autoregressive architecture, it generates smooth and natural videos by predicting video sequences block by block, supporting unlimited expansion and one-shot long video generation. The model's native resolution reaches 1440×2568, producing videos with smooth motion and realistic details. It possesses controllable generation capabilities, enabling smooth scene transitions and fine-grained control through block-based cues.

Main functions of MAGI-1

  • High-efficiency video generationMAGI-1 can generate high-quality video clips in a short time; for example, it only takes 3 seconds to generate a 5-second video, and less than 1 minute to generate a 1-minute video. By generating in blocks (24 frames per block), it denoises each block and processes them in parallel, greatly improving generation efficiency.
  • High-fidelity outputThe generated videos have high resolution (native 1440×2568), smooth motion and realistic details, suitable for various high-quality video creation needs.
  • Infinite expansion and timeline controlIt supports unlimited length expansion, can seamlessly continue to generate continuous long video scenes, and has second-level timeline control capabilities. Users can achieve fine-grained scene transitions and editing through block-by-block prompts.
  • Controllable generationWith its chunked prompts, MAGI-1 supports smooth scene transitions, long-distance compositing, and fine-grained text-driven control, enabling the generation of video content that meets user needs based on text instructions.
  • Physical behavior predictionIt performs exceptionally well in predicting physical behavior, generating actions and scenes that conform to physical laws, making it suitable for generating complex and dynamic scenes.
  • Real-time deployment and flexible inferenceIt supports real-time streaming video generation and is compatible with various hardware configurations, including deployment with a single RTX 4090 GPU, lowering the barrier to entry for users.

MAGI-1's technical principles

  • Autoregressive denoising algorithmMAGI-1 uses an autoregressive denoising method to generate video, dividing the video into fixed-length segments (24 frames per segment) and denoising each segment individually. Once a segment reaches a certain denoising level, the next segment is generated. This pipeline design can process up to four segments simultaneously, significantly improving generation efficiency.
  • Transformer-based VAEThe model uses a variational autoencoder (VAE) based on the Transformer architecture, achieving 8x spatial compression and 4x temporal compression. It boasts fast decoding speed and highly competitive reconstruction quality.
  • Diffusion Model ArchitectureMAGI-1 is built on the Diffusion Transformer and incorporates several innovative technologies, such as block causal attention, parallel attention blocks, QK-Norm and GQA, sandwich normalization, SwiGLU, and Softcap Modulation. These improvements enhance the efficiency and stability of large-scale training.
  • Distillation algorithmMAGI-1 employs an efficient distillation method to train a velocity-based model that supports different inference budgets. By enforcing self-consistency constraints (equating a large step size with two small steps), the model can approximate flow-matching trajectories across multiple step sizes, achieving efficient inference.

MAGI-1 project address

Application scenarios of MAGI-1

  • Content creationMAGI-1 provides video content creators with an efficient video generation tool that can quickly generate high-quality video content based on text commands. Creators can generate video clips of various scenes, such as natural scenery and human actions, using simple prompts, thus improving creative efficiency.
  • Film and television productionIn film and television production, MAGI-1 can be used to generate complex special effects scenes, helping filmmakers quickly realize their creative ideas. The "Unlimited Video Extension" feature allows for seamless extension of video content, and combined with "Second-Level Timeline Control," it enables refined scene transitions and editing to meet the needs of long narratives.
  • Game developmentMAGI-1 can be used to generate dynamic backgrounds and scenes, enhancing the immersion and visual effects of games. Through real-time streaming video generation technology, game developers can achieve more natural and fluid animation effects in their games.
  • educateMAGI-1 can generate vivid educational videos, helping educators to impart knowledge in a more intuitive way.
  • Advertising and MarketingMAGI-1 can quickly generate high-quality advertising videos, creating dynamic content tailored to the brand's needs and themes. Its high-fidelity output and smooth motion effectively capture viewers' attention and enhance advertising results.
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