Sand.AI

Sand.ai is an AI research and product company focused on advanced video generation, best known for its open-source MAGI-1 “world model,” which uses an autoregressive, chunk-by-chunk approach to create long, physically consistent, and coherent videos.

Alongside the research, Sand.ai offers Magi, a browser-based video generator that lets creators produce, animate, and extend videos using text prompts, images, or existing clips, with fine-grained timeline and segment control. Powered by the scalable MagiAttention system, the platform supports long-form storytelling, realistic motion, and infinite video extension, making it useful for content creators, marketers, filmmakers, developers, and researchers alike.

By combining open-source transparency with a polished, hosted creation tool, Sand.ai bridges cutting-edge AI research and practical, everyday video production.

Sand.ai: The Open‑Source AI Video Generator Behind Magi‑1 (Complete Guide)

Sand.ai is an AI research and product company focused on next‑generation video generation. Its flagship technology, MAGI‑1, is an autoregressive “world model” that can generate high‑quality, physically consistent videos, while the Magi web app on the official Sand.ai website turns this research into an easy‑to‑use video creation tool.

If you are a content creator, marketer, developer, or AI enthusiast, Sand.ai offers a powerful combination: open‑source models for developers and a polished browser‑based video editor for everyday creators.

What Is Sand.ai?

Sand.ai sits at the intersection of AI research and practical creativity. The platform has two main pillars:

• Research layer:
  MAGI‑1, a large‑scale video generation model released with code, model weights, and a detailed technical report.
• Product layer:
  Magi, a web‑based AI video generator hosted on Sand.ai, which lets you create, animate, and extend videos using natural language prompts, images, and existing clips.

Unlike many closed video tools, Sand.ai leans heavily into transparency. The underlying model is open‑sourced, while the website provides a user‑friendly interface and hosted infrastructure for those who don’t want to manage GPUs or complex setups.

MAGI‑1: Autoregressive Video Generation at Scale

How the model thinks about video

Most popular video generators treat a video as a single big block to generate all at once. MAGI‑1 is different. It treats video as a sequence of chunks and generates these chunks in order, using an autoregressive approach.

In practice, that means:

• A video is broken into fixed‑length segments (chunks) of consecutive frames.
• The model predicts and denoises one chunk at a time.
• Every new chunk is generated while “looking back” at what has already happened in previous chunks.

This structure gives MAGI‑1 a few important strengths:

• It can naturally produce long videos because it doesn’t try to do everything in one pass.
• It maintains temporal consistency, so motion and scenes feel coherent over time.
• It supports streaming and extension, making infinite or very long clips realistic.

Physics awareness and realism

MAGI‑1 is built as a “world model,” meaning it is trained to understand how things move and interact in time, not just how an individual frame should look. As a result:

• Motion often follows believable physics: gravity, collisions, camera movement, and object dynamics feel more natural.
• Long sequences can keep characters and objects consistent instead of drifting or morphing unpredictably.
• The model adapts well to both realistic scenes and stylized or 3D‑like visuals.

Scale and architecture

Under the hood, the largest MAGI‑1 variant has tens of billions of parameters and is designed to handle ultra‑long context windows (millions of tokens in the internal representation). To make that feasible, Sand.ai built a custom attention system called MagiAttention, which is optimized for long sequences and complex attention masks.

MagiAttention: Scaling Attention for Long Videos

Generating long, coherent videos is extremely demanding. Standard attention mechanisms quickly become too slow or memory‑hungry as sequences grow.

To solve this, Sand.ai introduced MagiAttention, a distributed attention mechanism optimized for:

• Ultra‑long context: It can handle very long sequences, which is essential for long videos and rich temporal context.
• Block‑causal patterns: Each video chunk can attend to itself fully while attending to previous chunks in a causal way, preserving the arrow of time.
• Efficient distribution: Attention computation can be spread across multiple devices, making large models and long contexts more practical to run.

This attention system is released as open‑source software, so developers and researchers can reuse or adapt it for other long‑context models beyond video generation.

Magi: The Sand.ai Web App for AI Video Creation

On the official Sand.ai site, the Magi interface turns MAGI‑1 into a creator‑friendly product. You do not need to understand the math behind autoregressive models to use it—everything is wrapped in a visual workflow.

Key creative features

Magi focuses on three main workflows:

• Text‑to‑Video
  Type a description of what you want to see, and Magi generates a video from scratch. You can describe characters, environments, motion, camera style, mood, and more.
• Image‑to‑Video
  Upload one or more images, and Magi animates them while preserving style and key visual details. This is ideal for concept art, product shots, or character illustrations that you want to bring to life.
• Video Extension (Infinite Extension)
  Take an existing clip and extend it forward with seamless motion. Because MAGI‑1 generates in chunks, extending a video feels natural: the model simply continues where the previous chunk left off.

Timeline and chunk‑wise control

One of Magi’s standout strengths is fine‑grained control over time:

• You can define different prompts or instructions for different segments of the video.
• This “chunk‑wise prompting” lets you change the scene, action, style, or camera movement as the video progresses.
• Instead of relying on a single prompt for an entire clip, you can build a narrative: introduction, development, transition, climax, and so on.

This timeline‑driven workflow makes Magi especially powerful for storytelling, advertising, and any content where the sequence of events really matters.

User Experience: How Magi Works in Practice

Here is what a typical workflow on Sand.ai’s Magi might look like:

1. Sign up and log in
   Visit the official Sand.ai site, create an account, and access the Magi dashboard.
2. Create a new project
   Start a project on the canvas. You can choose whether to work from text only, upload images, or import an existing video for extension.
3. Set up your scenes and prompts
   • For a simple clip, write one main prompt describing the entire scene.
   • For more complex content, plan your timeline and assign prompts to different segments or chunks.
4. Configure settings
   Adjust options like duration, resolution (within the limits of your plan), style or mood, and other advanced parameters if available.
5. Generate the first version
   Click generate. Magi sends your instructions to the MAGI‑1 model, which generates the video chunk by chunk.
6. Review and refine
   Watch the result. If you want changes, you can refine prompts, tweak segment timings, adjust style instructions, or regenerate specific parts.
7. Extend or branch out
   Use the infinite extension capability to continue a successful clip further, or branch multiple variations from the same starting point.
8. Export your video
   Once satisfied, export the final video for use on YouTube, social media, ads, or other platforms. Paid tiers generally offer higher resolution and more flexible usage terms.

Pricing and Plans

Sand.ai uses a credit‑based freemium model for Magi:

• You can usually start with a free tier that includes a limited number of credits—enough to test text‑to‑video, image‑to‑video, and short extensions.
• Paid tiers scale up in price and capability (for example: Plus, Pro, or Premium‑style plans), offering:
  • More monthly credits
  • Higher quality or longer videos
  • Faster generation and priority access
  • Fewer or no watermarks on exports

Credits are typically consumed based on generation time or video length—for example, a certain number of credits per second of generated video. This makes the cost fairly predictable if you know how long your clips will be.

Because pricing can change over time as the platform evolves, the most accurate and up‑to‑date information is always found directly on the official Magi pricing page on Sand.ai.

Who Should Use Sand.ai?

Sand.ai and its Magi video generator are well‑suited for several audiences:

• Content creators and YouTubers
  Quickly generate B‑roll, intros, scene transitions, and experimental videos. Infinite extension is especially useful for looping or long background visuals.
• Short‑form video creators (Reels, Shorts, TikTok)
  Create eye‑catching, story‑driven clips that would be expensive or time‑consuming to film.
• Marketers and brands
  Produce concept ads, product showcases, and narrative campaigns without full production teams, and iterate rapidly on ideas before full shoots.
• Filmmakers and game studios
  Use Magi for pre‑visualization, mood boards in motion, and experimental narrative sequences.
• Developers and AI builders
  Integrate MAGI‑1 into apps, tools, or pipelines through the open‑source code and available interfaces, or experiment with the underlying technologies such as MagiAttention.
• Researchers and students
  Study long‑context video modeling, autoregressive generation, and large‑scale attention systems using a real, state‑of‑the‑art open model.

Advantages of Sand.ai

Some of the key strengths of Sand.ai include:

• Open‑source core
  The underlying MAGI‑1 model and MagiAttention are open, enabling transparency, customization, and extension by the community.
• Long‑form, controllable video
  Autoregressive chunk‑wise generation plus a timeline interface make it practical to build longer videos with meaningful narrative structure.
• Fine‑grained control
  Chunk‑wise prompts and second‑level timeline editing allow creators to direct specific actions, transitions, and camera moves over time.
• Physics‑aware, coherent motion
  The world‑model design leads to more believable motion sequences compared to many earlier or simpler video models.
• Ecosystem and integrations
  Because it is open, MAGI‑1 can be integrated into tools like ComfyUI or combined with other generative models (for example, image and audio models) in end‑to‑end creative workflows.

Limitations and Practical Considerations

At the same time, there are a few factors to keep in mind:

• Heavy compute for self‑hosting
  Running the largest MAGI‑1 models locally requires serious GPU resources. For most users, the hosted Magi service on Sand.ai will be more practical.
• Learning curve for precise control
  While simple prompts are easy to use, unlocking the full power of chunk‑wise prompting and timeline control can take some experimentation.
• Evolving pricing and policies
  As with any rapidly growing AI platform, pricing, credit policies, and content rules can change. Always check the official site for current details.
• Iterative nature of generative video
  High‑quality, on‑brand output often requires several iterations, prompt refinements, and parameter tuning—just like any other advanced creative tool.

Conclusion

Sand.ai’s official website is the gateway to a powerful new generation of AI video tools. By pairing the open‑source MAGI‑1 world model with the Magi web app and the MagiAttention attention system, Sand.ai offers:

• Cutting‑edge research for developers and scientists.
• A practical, visual interface for creators and marketers.
• Long‑form, controllable, physics‑aware video generation that goes beyond simple prompt‑in / clip‑out tools.

If you are exploring AI‑powered video—whether for YouTube, social media, advertising, experimentation, or research—Sand.ai is one of the most important platforms to try. Simply visit https://sand.ai/, create an account, and start experimenting with Magi to see what kind of stories and visuals you can bring to life.

FAQs about Sand.ai

What is Sand.ai?
Sand.ai is an AI research and product company focused on next-generation video generation, combining open-source research with a creator-friendly web platform.

What is MAGI-1?
MAGI-1 is Sand.ai’s open-source autoregressive video generation model designed to create long, coherent, and physically consistent videos.

What makes MAGI-1 different from other video models?
MAGI-1 generates video in sequential chunks instead of all at once, which improves temporal consistency, realism, and long-form video generation.

What does “world model” mean in MAGI-1?
It means the model learns how objects, motion, and physics evolve over time, not just how individual frames should look.

Is MAGI-1 open source?
Yes, Sand.ai releases the model code, weights, and technical documentation openly for developers and researchers.

What is Magi?
Magi is Sand.ai’s browser-based AI video generator that turns MAGI-1 into an easy-to-use creative tool.

Do I need technical knowledge to use Magi?
No, Magi is designed for non-technical users with a visual interface and natural language prompts.

What can I create with Magi?
You can create videos from text, animate images, and extend existing videos seamlessly.

What is video extension or infinite extension?
It allows you to continue an existing video forward naturally, generating new content that stays consistent with earlier frames.

How does chunk-wise prompting work?
You can assign different prompts or instructions to different time segments of a video to control how the scene evolves.

Can Magi create long videos?
Yes, its chunk-based generation makes long or continuously extending videos practical.

What is MagiAttention?
MagiAttention is Sand.ai’s custom attention system optimized for ultra-long video contexts and efficient computation.

Why is MagiAttention important?
It enables the model to handle very long sequences without excessive memory or performance costs.

Is MagiAttention also open source?
Yes, it is released openly and can be reused for other long-context AI models.

Who should use Sand.ai?
Content creators, marketers, filmmakers, developers, researchers, and AI enthusiasts can all benefit from it.

Is Sand.ai good for social media videos?
Yes, it works well for short-form content like Reels, Shorts, and TikTok, as well as longer narratives.

Can developers integrate MAGI-1 into their own tools?
Yes, developers can use the open-source model and attention system in custom pipelines or applications.

Does Magi require a powerful computer?
No, the hosted web app runs on Sand.ai’s infrastructure, so you don’t need your own GPUs.

Is self-hosting MAGI-1 possible?
Yes, but running large versions requires significant GPU resources.

How does pricing work on Sand.ai?
Magi uses a credit-based freemium model with free and paid tiers.

What do credits represent?
Credits are typically consumed based on video length or generation time.

Does the free tier have limitations?
Yes, free plans usually have limited credits, shorter videos, and possible watermarks.

Can I export videos from Magi?
Yes, videos can be exported for use on platforms like YouTube and social media.

Is Magi suitable for professional marketing content?
Yes, it’s useful for concept ads, product demos, and rapid creative iteration.

Does Sand.ai support realistic and stylized videos?
Yes, MAGI-1 adapts well to realistic, stylized, and even 3D-like visuals.

How consistent are characters and objects over time?
MAGI-1 is designed to maintain consistency across long sequences.

Is Sand.ai suitable for research and education?
Yes, it is valuable for studying long-context video modeling and autoregressive generation.

Can Magi be used for pre-visualization in film or games?
Yes, it’s well-suited for animated storyboards, mood boards, and experimental scenes.

Does Sand.ai compete with closed video tools?
Yes, but its open-source approach and long-form control differentiate it.

Is Sand.ai still evolving?
Yes, features, pricing, and capabilities continue to evolve as the platform develops.

Where can I access Sand.ai?
You can use Magi and learn more by visiting https://sand.ai/.