- No Watermark
- Commercial License
- Batch Generation + 720P MoE (Coming Soon)
wan 2.2
0
Wan2.2 by Alibaba Tongyi Lab offers open-source, professional cinematic AI video generation. It supports text-to-video and image-to-video with advanced motion understanding and cinematic control at 720P and 24fps, enabling creators to produce high-quality videos efficiently.
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What is wan 2.2?
Wan2.2 is an open-source AI-powered video generation tool that uses Mixture-of-Experts (MoE) architecture to create professional cinematic videos from text prompts or static images. It provides precise cinematic motion control, lighting, color, and composition adjustments. Built for filmmakers, researchers, and content creators, Wan2.2 delivers stable, realistic video synthesis at 480P and 720P resolutions, running efficiently on consumer hardware.
Who will use wan 2.2?
- Filmmakers
- AI researchers
- Content creators
- Video studio owners
- Independent developers
How to use the wan 2.2?
- Step1: Download the Wan2.2 models from the official GitHub repository.
- Step2: Use the text-to-video or image-to-video models to input your creative prompts or static images.
- Step3: Customize cinematic controls like lighting, color, and motion according to your needs.
- Step4: Generate and export professional-quality 720P videos at 24fps.
- Step5: Integrate into your video production or research pipeline for further use and customization.
Platform
- Web
wan 2.2's Core Features & Benefits
The Core Features
- Open-source MoE video generation architecture
- Text-to-video and image-to-video support
- 720P resolution video output at 24fps
- Advanced cinematic vision and motion control
- Stable video synthesis with reduced camera movement
- Fine-grained lighting and color composition control
- Optimized for consumer-grade GPUs
The Benefits
- No subscription fees; fully free for most use cases
- High-quality cinematic video production
- Customizable and extensible open-source codebase
- Runs efficiently on consumer hardware
- Empowers filmmakers and researchers with advanced AI tools
wan 2.2's Main Use Cases & Applications
- Creating cinematic promotional videos
- Developing AI-driven film pre-visualization
- Enhancing content creation for social media and marketing
- Research on video diffusion and generative AI models
- Producing artistic video projects and experimental films
wan 2.2's Pros & Cons
The Pros
Fully open-source with full model weights available
Superior cinematic control and video quality
Supports both text and image inputs
Efficient MoE design for larger model capacity
Strong community and developer support
The Cons
720P resolution might be limited for some professional usage
Requires some technical knowledge to deploy locally
No native mobile apps available
Limited direct integration with popular video editing software
wan 2.2's Pricing
| Has free plan | YES |
|---|---|
| Free trial details | |
| Pricing model | Paid |
| Is credit card required | No |
| Paid from | 20.9 USD |
| Has lifetime plan | No |
| Billing frequency | Monthly |
Details of Pricing Plan
Basic
20.9 USDPlus
34.9 USD- No Watermark
- Commercial License
- Batch Generation + 720P MoE (Coming Soon)
Enterprise
69.9 USD- No Watermark
- Commercial License
- Batch Generation + 720P MoE (Coming Soon)
FAQs of wan 2.2
wan 2.2 Company Information
Analytic of wan 2.2
Visit Over Time
Monthly Visits
76.6k
Avg Visit Duration
00:00:17
Page Per Visit
2.02
Bounce Rate
37.41%
Feb 2026 - Apr 2026 All Traffic
Geography
Top 5 Regions
United States
8.81%
Brazil
5.69%
Vietnam
4.94%
France
4.55%
Korea, Republic of
4.18%
Feb 2026 - Apr 2026 Worldwide Desktop Only
Traffic Sources
SearchOrganic
75.83%
Direct
14.77%
Referrals
7.02%
Mail
1.19%
GenAi
1.19%
Affiliate
0.00%
DisplayAds
0.00%
SearchPaid
0.00%
SocialPaid
0.00%
SocialOrganic
0.00%
Feb 2026 - Apr 2026 Desktop Only
Top Keywords
| Keyword | Traffic | Cost Per Click |
|---|---|---|
| wan2.2 | 32.1k | $ -- |
| wan 2.2 | 85.5k | $ 0.30 |
| wan22 | 840 | $ -- |
| wan 22 | 580 | $ -- |
| wan2.2 all-in-one | -- | $ -- |
How to install?
wan 2.2 Reviews
5/5
wan 2.2's Main Competitors and alternatives?
RunwayML
Synthesia
DeepBrain AI
Pictory
D-ID
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