SandAI has introduced MAGI-1, a model that makes it easy to create high-quality videos from text, images, or existing video clips. With its code and tools freely available, MAGI-1 offers a practical way for creators and researchers to bring their ideas to life. This blog post dives into what MAGI-1 can do, how it works, and how you can start using it.

MAGI-1 is an autoregressive denoising video generation model, a tool that generates videos by building them in small, manageable pieces, each containing a short sequence of frames. This step-by-step approach ensures videos look smooth and consistent, even for longer sequences. It’s designed to handle different types of inputs, making it versatile for creating everything from short animations to extended video scenes. MAGI-1 is efficient, producing clear and detailed videos while being flexible enough to work on various computers.

Why MAGI-1 Stands Out

1. Builds Videos Piece by Piece: MAGI-1 creates videos by working on small segments one at a time. This method allows it to handle long videos without losing quality and makes it possible to stream or adjust scenes as they’re being made. It’s a smart way to keep videos looking polished and connected from start to finish.

2. Works with Different Inputs

MAGI-1 can start with:

1. Text Descriptions: Write a simple phrase like “happy dog running” to create a video based on your words.
2. Images: Turn a single picture into a moving video, perfect for animations or visual effects.
3. Videos: Extend or tweak an existing video clip to create something new, like adding to a story or editing a scene.

This flexibility lets users experiment with different creative ideas.

3. Options for Different Users: MAGI-1 comes in different versions to suit various computers. One version works on powerful machines for professional use, while another runs on standard hardware, making it accessible to hobbyists or small teams. SandAI is also preparing to share a more compact version soon, which will be even easier to use on everyday devices.

4. Impressive Results: Tests show MAGI-1 creates videos that follow instructions well and capture motion smoothly, matching or surpassing other similar tools like Wan-2.1 and HunyuanVideo and closed-source model like Hailuo (i2v-01). It’s especially good at predicting how objects move in videos, like showing realistic physics in scenes. This makes it a strong choice for projects where accuracy and quality matter.

5. User-Friendly Setup: MAGI-1 is designed to be straightforward. You can set it up using a ready-made package that works right away or install it manually with clear instructions. Once ready, you can run simple commands to create videos, tweaking settings like video size or length to fit your needs.

How It Works

MAGI-1 uses a clever system to turn your ideas into videos. It starts by understanding your input whether it’s text, an image, or a video clip and then builds the video in small chunks. Each chunk is carefully crafted to flow naturally into the next, ensuring the final video looks seamless. The system is optimized to save time and resources, so it can produce high-quality results without needing excessive computing power.

Getting Started with MAGI-1

To try MAGI-1, visit the SandAI MAGI-1 project page on GitHub . You’ll find everything you need: the code, tools, and guides to set it up. There are example scripts to help you create videos quickly, and you can adjust settings to match your project.