Wan2.2

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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.

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Best For Professions:

video creators VFX artists game developers researchers creative technologists

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.

Autonomy level

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...

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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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Pricing model:

free

Code access:

open-source

Popularity level: 78%