Magi1.1

Magi by SandAI is an advanced AI video generation system built around an autoregressive architecture that generates video in coherent chunks rather than all at once. It is designed for creators, developers, and researchers who need controllable, high‑fidelity video from text, images, or existing footage, with strong temporal consistency and scalability. SandAI supports this model with open technical resources, including a detailed technical report, inference code, and model weights for Magi‑1.

Key Features

• Autoregressive video modeling: Generates videos chunk by chunk (e.g., sequences of frames) to maintain smooth motion and consistent scenes over time.
• Multi‑modal video generation: Supports modes like text‑to‑video, image‑to‑video, and video‑to‑video, giving users multiple ways to drive video creation.
• Open technical ecosystem: Provides a technical report, inference code, model weights, and MagiAttention code to enable experimentation and integration by developers and researchers.
• Mission‑driven AI development: Operates with a stated mission to advance AI for the benefit of everyone, embracing open source and broad community use.

​Use Cases

• Creators producing concept videos, storyboards, or short clips by turning ideas, prompts, or reference images into dynamic video sequences.
• Developers integrating state‑of‑the‑art video generation into products or tools using the available inference code and model weights.
• Researchers studying autoregressive video models, attention mechanisms (MagiAttention), and large‑scale video generation architectures using the released resources.