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Wan 2.1 - Model
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Wan 2.1

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description Wan 2.1 Overview

Wan 2.1 is a text-to-video generation model developed by Alibaba and released as open-source in early 2025. The model utilizes a Diffusion Transformer (DiT) architecture to synthesize high-resolution video content directly from text prompts or reference images. It is available in multiple parameter sizes, including 1.3 billion and 14 billion, allowing for deployment across a range of hardware configurations. Wan 2.1 has demonstrated competitive performance in generating dynamic sequences with temporal consistency.

help Wan 2.1 FAQ

What type of AI model is Wan 2.1?

Wan 2.1 is a text-to-video generation model developed by Alibaba. It is capable of synthesizing high-resolution video content directly from simple text prompts or reference images.

What architecture does Wan 2.1 use to generate videos?

The model utilizes a Diffusion Transformer (DiT) architecture to create its high-resolution video outputs. This modern approach has largely replaced older U-Net architectures in state-of-the-art generative AI.

Is Alibaba's Wan 2.1 open-source?

Yes, Alibaba released Wan 2.1 as an open-source model in early 2025. This allowed independent developers and researchers to download and run the video generation software locally.

Who developed the Wan 2.1 model?

The model was developed and released by the Chinese tech giant Alibaba. It was built to compete directly with other major proprietary video generation tools like OpenAI's Sora.

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