What is Sand.ai?

Magi is an autoregressive video generation model (Magi-1.1) for producing temporally coherent, high-resolution video sequences.

It provides inference code and model weights for local and cloud deployment and supports an API for scalable generation workflows.

Magi includes MagiAttention implementation and related code for model architecture and optimization.

Designed for developers, researchers, and content creators, it supports video synthesis, prototyping, and automated media production.

Features include frame-level control, conditional generation, and integration into existing pipelines.

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Sand.ai's key features

Autoregressive video generation
Scalable (at-scale) video generation
Availability of inference code and model weights
Code for MagiAttention (attention mechanism)
Human API platform for access

Sand.ai use cases

Create cinematic-quality short sequences and visual effects for indie films and ads using Magi-1.1's autoregressive high-resolution synthesis, leveraging frame-level control to fine-tune individual shots and the provided inference code and weights for seamless VFX pipeline integration
Generate large, diverse, temporally coherent synthetic video datasets for computer vision research and model training by programmatically sampling conditional scenarios via Magi-1.1's API, using frame-level control to produce labeled frames and ensure consistency across sequences
Prototype interactive product demos, animated UI walkthroughs, and storyboard previews by conditioning Magi-1.1 on scripts, keyframes, or scene parameters through its API, iterating rapidly with MagiAttention-powered temporal coherence and exporting results into existing production pipelines