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Wan

Open-source models for generating and editing video from text and images.

—Not yet scored
Wan— Explore Wan

At a glance

  • Editor score
    Not yet scored
  • Pricing
    Open source
  • Best for
    Developers running open-source video models locally
  • Paid from
    None
  • Facts checked
    19 Sep 2026
  • Where it wins

    • Generates video from text, images, and speech
    • Includes editing, character replacement, and character animation
    • Works with Hugging Face, ModelScope, Diffusers, and ComfyUI
  • Where it doesn't

    • Requires local Python and GPU-based inference
    • Published output models are limited to 480p and 720p
    • Official documentation demonstrates clips up to five seconds

Our verdict on Wan

Wan is Alibaba Cloud’s open-source family of video generation models, aimed at developers, researchers, and technical teams able to run Python and GPU-based inference locally. Its repositories support text-to-video and image-to-video generation, as well as video editing, speech-to-video, and character animation. This is a self-hosted model family rather than a conventional SaaS subscription, so it suits teams that want to run open models in their own environment, not buyers seeking a hosted editor with a managed workflow.

The breadth of video tasks is a notable strength: Wan includes character replacement alongside generation and animation, and supports prompt extension using local Qwen models or DashScope. Local Python inference keeps the workflow centered on a technical environment. Code and weights are distributed through GitHub, Hugging Face, and ModelScope, with integrations also including Diffusers and ComfyUI. That ecosystem fit makes Wan relevant to teams already working with open-source model tooling; it is less aligned with users looking for a standalone point-and-click product.

Output constraints matter when choosing it. The available models target 480p and 720p, and the official documentation demonstrates five-second video generation. Those boundaries make Wan a better fit for short-form experiments and workflows where local control matters more than longer or higher-resolution output. Commercial use is supported. Choose Wan if you have the technical capacity to run local inference and want multiple video workflows in an open model family; consider another option if you need a hosted service, longer clips, or output above 720p.

Wan pricing

Plans Open sourceFree Free to use — no paid tier required for the core job.
See plans on github.com

Wan fact sheet

Free planNot verified
Paid fromNone
Text-to-videoYes
Image-to-videoYes
AI avatarsNot verified
Maximum video length0.083333 min
Maximum resolution720p
API accessNot verified
Commercial useYes
DeploymentSelf-hosted
Integrations4 integrations: Hugging Face, ModelScope, Diffusers, ComfyUI
PricingOpen source
Websitegithub.com
Facts checked19 Sep 2026

Wan integrations

Wan lists 4 integrations on its own site.

  • Hugging Face
  • ModelScope
  • Diffusers
  • ComfyUI

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Featured on iTechGuides

Featured on iTechGuides — Wan —/10

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Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026

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