MAGI-1 AI Video Model: Features, Architecture & Alternatives
MAGI-1 is Sand.ai's open-source, autoregressive AI video generation model. It was available on getimg.ai, but it is no longer integrated here. The model itself is far from gone, though: Sand.ai has kept the family moving with MAGI-1.1 and, more recently, MAGI-2 Preview.
For a new project, getimg.ai's current video models pick up where MAGI-1 left off, covering everything it can do and more.
What is MAGI-1?
MAGI-1 is an open-source video generation model from Sand.ai, first released in 2025. Unlike models that render a whole clip in one pass, it is autoregressive: it builds a video in successive chunks, generating each new segment on top of the ones before it.
That design makes it well suited to continuing and extending a scene rather than producing a single fixed-length clip.
How does MAGI-1 work?
It builds a clip in pieces, not all at once.
1. Generate in chunks
MAGI-1 is autoregressive. Instead of producing a whole clip at once, it generates video in successive chunks of 24 frames.
2. Prompt chunk by chunk
You can steer the model chunk by chunk, guiding how a scene evolves over time instead of committing to one fixed prompt. For general prompting tips, see our video prompting guide.
3. Denoise and continue
Each chunk is produced by denoising and is conditioned on the chunk before it, which lets MAGI-1 continue a scene and extend it beyond a single clip.
What makes MAGI-1 different?
A few design choices set MAGI-1 apart from most video models. It is autoregressive, generating a clip chunk by chunk rather than all at once. That enables chunk-wise prompting, so you can steer a scene as it unfolds, and video continuation, extending an existing clip instead of starting over.
It supports image-to-video conditioning, using a still frame as the starting point, and, unlike most commercial models, its weights and code are open source.
A leopard quickly runs through tall golden grass in the savannah. The camera stays low and close, as the sun sets in the background
MAGI-1 video generation capabilities
On the technical side, MAGI-1 covers the core building blocks of modern video generation: text-conditioned generation from a prompt, image-to-video from a starting frame, video-to-video, and autoregressive continuation to extend a scene.
Its chunk-based design gives fine-grained control over how a clip develops over time, and because the model is open source, researchers and developers can inspect, fine-tune, and build on it directly.
What's new after MAGI-1?
Sand.ai has kept iterating on the MAGI family. MAGI-1.1 refined the original 24B model, and MAGI-2 Preview followed as a much larger open-source model that generates video with synced audio.
Both are open source, and neither is currently available on getimg.ai. If you want a model to use right now, the current getimg.ai video lineup is the place to start.
MAGI alternatives available on getimg.ai
MAGI-1 is gone from getimg.ai, but the current video lineup covers everything it did and pushes further. Native audio is built into many of the models, including Google Veo 3.1, Kling, and Seedance, so sound comes out of the same prompt.
Kling 3.0 Pro renders up to 4K, and Seedance 2.5 can run a single clip out to 30 seconds. You also get first and last frame control on models like Seedance and Kling, plus reference-image guidance, with MiniMax H3 taking up to nine references. Here is where each MAGI-1 capability picks up.
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Frequently Asked Questions
No. MAGI-1 is no longer available on getimg.ai, and you can't generate MAGI-1 clips here anymore. It has been replaced by newer AI video models in the current lineup.
Yes. MAGI-1 still exists as an open-source model from Sand.ai; it is simply no longer integrated with getimg.ai. Its weights and code remain available through Sand.ai's open-source releases.
Yes. MAGI-1 is open source. Sand.ai published its weights and code under the Apache 2.0 license, so it can be run, studied, and fine-tuned outside of any single platform.
MAGI-2, released by Sand.ai as MAGI-2 Preview, is the next generation of the MAGI family. It is a large open-source model that generates video together with synced audio, from a text prompt or a starting image. As a preview release, its details may still change.
No. MAGI-2 is not currently available on getimg.ai. To generate video today, use one of the current models in the getimg.ai video lineup.
getimg.ai carries a current lineup of AI video models that cover everything MAGI-1 did and more. You can generate from text, animate a still image, control first and last frames, guide clips with reference images, and, on some models, get native audio.
For animating a still image, start with Image to Video. For text-only generation and the full model list, open the video generator and leave the model on Auto.
Auto-selection picks a suitable model for your prompt, so you don't have to research which one to use.
Try MAGI alternatives on getimg.ai
Every capability MAGI-1 offered is here in the current video lineup, from image to video to native audio and 4K output. Pick a model, describe your clip, and generate.