Magi Description

Magi is an innovative open-source autoregressive video generation model created by Sand AI, which focuses on producing high-quality and temporally consistent videos through a chunk-wise generation approach. In contrast to conventional models that attempt to generate entire videos at once, Magi generates fixed-length segments of 24 frames in a sequential manner, thus allowing for real-time streaming capabilities and the ability to synthesize longer videos. Utilizing a Transformer-based Variational Autoencoder (VAE) architecture, it achieves impressive compression rates of 8x spatial and 4x temporal, facilitating rapid decoding while maintaining high reconstruction quality. The model integrates various advancements aimed at improving training efficiency and stability when scaled up. Additionally, Magi employs a distillation algorithm that accommodates varying inference budgets, enabling effective video generation with minimal fidelity loss. Comprehensive pre-trained weights and inference code are available, accompanied by thorough guidelines for executing the model via Docker or source code, ensuring that users can easily implement and experiment with it. With these features, Magi stands out as a versatile tool for creators looking to leverage cutting-edge video generation technology.

Pricing

Pricing Starts At:
Free
Free Version:
Yes

Integrations

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Company Details

Company:
Sand AI
Headquarters:
United States
Website:
sand.ai/magi

Media

Magi Screenshot 1
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Product Details

Platforms
Web-Based
Types of Training
Training Docs
Customer Support
Online Support

Magi Features and Options

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