Wan
Wan: A self-hosted video model family for developers comfortable with local Python and GPU inference. Ranked #129 of 241 in AI Video Generators by our editors (3.0/10); pricing: Open source; best for developers running open-source video models locally.
At a glance
- Editor score3.0 / 10
- PricingOpen source
- Best forDevelopers running open-source video models locally
- Paid fromFree
- Facts checked19 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.
Your product? Our editors can test Wan in depth and publish a review, labelled as paid · from $149/mo →
Wan pricing
Wan fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Free |
| Text-to-video | Yes |
| Image-to-video | Yes |
| AI avatars | Not verified |
| Maximum video length | 0.083333 min |
| Maximum resolution | 720p |
| API access | Not verified |
| Commercial use | Yes |
| Deployment | Self-hosted |
| Integrations | 4 integrations: Hugging Face, ModelScope, Diffusers, ComfyUI |
| Pricing | Open source |
| Website | github.com |
| Facts checked | 19 Sep 2026 |
Wan integrations
Wan lists 4 integrations on its own site.
- Hugging Face
- ModelScope
- Diffusers
- ComfyUI
Alternatives to Wan
- Google VeoText, image, and audio generation with camera controls and Google platform access.9.4
- RunwayA broad generative media platform with professional workflows, APIs, and mobile apps.9.3
- TikTok Symphony Creative StudioA free, TikTok-focused AI studio for creating, editing, and exporting social videos.9.2
Also Ranked In
Wan is ranked in 7 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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