Wan 2.2 AI Video Generator
Wan 2.2
NEW🚀 Wan 2.2 Now Available - Open-Source Video Generation Revolution

Wan 2.2: Revolutionary AI Video
Generation

Experience the cutting-edge Wan 2.2 open-source video generation model with Mixture-of-Experts architecture, delivering 1080p cinematic quality at 24fps with unprecedented control and efficiency

try our Free Version to see everything for yourself

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AI Video Generation

AI Video
Generation

Transform your ideas into stunning videos with our advanced AI technology. Support for both text-to-video and image-to-video generation.

Click or drag to upload image

Support JPG, PNG, GIF formats, max 5MB

Video Preview

Generated video will appear here

Fill in the prompt and click generate to start creating your video

Pricing Plans

Wan 2.2
AI Video Generation Access Plans

Choose the perfect plan to start creating with the revolutionary Wan 2.2 open-source video generation model featuring MoE architecture and cinematic-level quality control for professional video creation.

Starter

$9.99
/one-time
1000K credits
  • 1,000 credits (one-time)
  • Wan 2.2 5B & 14B models
  • All generation modes
  • Standard processing
Best Offer

Standard

$29.99
/one-time
3000K credits
  • 3,000 credits (one-time)
  • Wan 2.2 5B & 14B models
  • All generation modes
  • Priority processing

Premium

$99.99
/one-time
10000K credits
  • 10,000 credits (one-time)
  • Wan 2.2 5B & 14B models
  • All generation modes
  • Fast processing

All plans include our core AI video generation features

Key Features of Wan 2.2 AI Video Generation Model

Explore the groundbreaking capabilities that make Wan 2.2 the most advanced open-source AI video generation model available, featuring revolutionary Mixture-of-Experts architecture and cinematic-level quality control.

Mixture-of-Experts Architecture

Wan 2.2 utilizes a revolutionary MoE design that separates denoising processes across timesteps with specialized expert models, increasing capacity without additional computational cost for efficient high-quality generation.

Cinematic-Level Aesthetics Control

Wan 2.2 incorporates detailed lighting, composition, contrast, and color tone labels for precise, controllable video style generation with professional cinematic quality and sophisticated visual aesthetics.

Enhanced Dataset Training

Wan 2.2 is trained on significantly expanded data (+65.6% images, +83.2% videos) for enhanced generalization across motion, semantics, and aesthetics, delivering superior results across diverse content types.

Open-Source Accessibility

Wan 2.2 offers complete open-source access with model weights available on Hugging Face and ModelScope platforms, making advanced video generation technology accessible to developers and researchers worldwide.

Consumer GPU Compatibility

Wan 2.2 TI2V 5B model supports consumer GPUs like RTX 4090 with 16×16×4 compression ratio, enabling high-quality 720P@24fps text-to-video and image-to-video generation on accessible hardware.

Advanced Motion Control

Wan 2.2 excels in action control and emotional expression with Pose-Latent Transformer architecture, supporting character-driven actions, natural motion reproduction, and sophisticated cinematic movement awareness.

Discover the power of cutting-edge technology with our comprehensive feature set

Performance

Wan 2.2 AI Performance Metrics

Discover the impressive capabilities and performance statistics of the revolutionary Wan 2.2 open-source video generation model with MoE architecture and cinematic-level quality control.

Model Variants

3

5B hybrid & 14B specialized models

Maximum Resolution

1080p

Native high-definition output

Open Source

100%

Fully accessible model weights

Real-time performance metrics powered by cutting-edge technology

FAQ

Frequently Asked Questions About Wan 2.2 AI

Get answers to common questions about the revolutionary Wan 2.2 open-source video generation model with MoE architecture and cinematic-level quality control capabilities.

Wan 2.2 stands out with its revolutionary Mixture-of-Experts (MoE) architecture that separates denoising processes across timesteps with specialized expert models. This innovative approach increases model capacity without additional computational cost, while incorporating cinematic-level aesthetics with detailed lighting, composition, contrast, and color tone labels for precise, controllable video style generation.