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Wan2.2

Wan2.2 AI Agent
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Overview

Open-source video generation model family (5B/14B) for text/image/video-to-video, delivering 1080p clips with improved motion and control.

Wan2.2 is an open-weights family of large-scale video generative models released by the Wan-Video team as the successor to Wan2.1. It introduces expanded training data and architecture upgrades, offering multiple variants for text-to-video, image-to-video, video-to-video, and even speech-to-video generation. The models produce cinematic, higher-resolution clips with stronger temporal consistency and motion control, and are available under an Apache-2.0 license with runnable repos and Hugging Face checkpoints.

AI Agent Store research

What the evidence says about Wan2.2

Wan2.2 is best understood as an open video-generation model rather than a standalone agent. Wan: Open and Advanced Large-Scale Video Generative Models.

Last reviewed July 30, 2026

Verified capabilities

  • AI media production

    Wan: Open and Advanced Large-Scale Video Generative Models.[1]

Where it fits best

  • Generating short cinematic videos directly from text prompts.[1]

Buying and deployment notes

Deployment: Source repository[1]

Sources and research method (1)

We record only claims tied to public sources checked by our team or listing workflow. Counts above are derived directly from this profile, not a subjective rating.

  1. GitHub - Wan-Video/Wan2.2: Wan: Open and Advanced Large-Scale Video Generative Models · GitHubGitHub · checked 2026-07-30

Autonomy level

6%

Reasoning: Wan2.2 is a video generation diffusion model rather than an autonomous AI agent. It lacks independent decision-making capabilities, goal-setting functionality, or autonomous task execution. The model operates reactively, generating video outputs exclusively in response to user-provided inputs such as text prompts, reference images, or audio. It doe...

Comparisons


Custom Comparisons

Some of the use cases of Wan2.2:

  • Generating short cinematic videos directly from text prompts.
  • Animating a single image into motion with image-to-video workflows.
  • Converting/reference-editing existing video with video-to-video.
  • Building ComfyUI or custom pipelines for creative production.
  • Researching large video diffusion/MoE techniques with open weights.

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Code access:

Popularity level: 78%

Wan2.2 Video:

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