Wan 2.2
Wan 2.2 is an advanced open-source AI video generation model that leverages Mixture-of-Experts (MoE) architecture to deliver high-quality 720P/1080P video creation with enhanced efficiency, improved controllability, and superior visual aesthetics.
https://wan.video/welcome?ref=producthunt
Product Information
Updated:Oct 16, 2025
Wan 2.2 Monthly Traffic Trends
Wan 2.2 achieved 3.94M visits with a 44.7% growth in monthly traffic. This significant increase can be attributed to the release of Wan 2.5 on the Xole AI platform, which features advanced audio-visual synchronization and the ability to generate videos up to 10 seconds long.
What is Wan 2.2
Wan 2.2 is a major upgrade to Alibaba's Tongyi Lab's video generation model suite, building upon the foundation of Wan 2.1. It represents a significant advancement in AI-powered video creation, capable of generating high-quality videos from both text and image inputs. The model combines sophisticated technical innovations including MoE architecture, expanded training data, and high-compression video generation capabilities, making it one of the most powerful open-source video generation solutions available.
Key Features of Wan 2.2
Wan 2.2 is an advanced AI video generation model that builds upon Wan 2.1 with significant improvements in quality and capabilities. It features a Mixture-of-Experts (MoE) architecture, supports both text-to-video and image-to-video generation at 480P and 720P resolutions, and includes three models: a 5B hybrid model and two 14B specialized models. The platform offers enhanced cinematic control, efficient high-definition output, and improved motion generation while maintaining open-source accessibility.
MoE Architecture: Utilizes a dual-expert system (high-noise and low-noise) with 27B total parameters for optimized video generation while maintaining efficient computational costs
High-Definition Output: Supports video generation at both 480P and 720P resolutions at 24fps, with the ability to run on consumer-grade GPUs like RTX 4090
Advanced Motion Control: Excels at generating complex movements, rotations, and camera motions with enhanced fluidity and physics simulation
Cinematic Style Control: Offers fine-grained control over lighting, color, composition, and aesthetic preferences for professional-quality video output
Use Cases of Wan 2.2
Content Creation: Enables creators to generate high-quality video content from text descriptions or images for social media, advertising, and entertainment
Animation Production: Assists animators and studios in creating dynamic scenes, character animations, and visual effects with precise control
Advertising: Helps agencies create dynamic ads and promotional content while maintaining brand consistency across different formats
Education and Training: Facilitates the creation of educational content and training materials with visual demonstrations and animations
Pros
Open-source accessibility and community support
Runs on consumer-grade hardware
Superior video quality compared to leading commercial models
Supports both Chinese and English text generation
Cons
Requires significant GPU memory for optimal performance
Some features like VACE 2.0 are still in development
Complex setup process for local installation
How to Use Wan 2.2
Install ComfyUI: Download and install the latest version of ComfyUI, which is the recommended interface for running Wan 2.2
Update ComfyUI: Go to Menu > Workflow > Browse Templates > Video and find 'Wan2.2 14B I2V' to load the workflow, or update ComfyUI to latest version through the Manager section
Download Required Models: Download the appropriate Wan 2.2 model based on your needs: T2V-A14B for text-to-video, I2V-A14B for image-to-video, or TI2V-5B for both. Place models in ComfyUI/models/diffusion_models folder
Install VAE Model: Download and install the wan2.2_vae.safetensors model and ensure the Load VAE node loads it correctly
Configure Settings: In the EmptyHunyuanLatentVideo node, adjust size settings and total number of video frames (length) as needed
Enter Prompt: For text-to-video, enter your prompt in the CLIP Text Encoder node. For image-to-video, use Ctrl+B to enable Load image node and upload an image
Optional: Enable Optimizations: For better performance, enable options like --dit_fsdp --t5_fsdp --ulysses_size 8. For low VRAM, use --offload_model True and --t5_cpu
Generate Video: Click the Run button or use Ctrl(cmd) + Enter to start video generation. Generation time varies based on settings and hardware
Wan 2.2 FAQs
Wan 2.2 introduces three key improvements: 1) Mixture-of-Experts (MoE) architecture that increases model parameters while keeping inference costs unchanged, 2) Upgraded training data with 65.6% more images and 83.2% more videos, 3) High-compression video generation capabilities through advanced Wan2.2-VAE.
Wan 2.2 Video
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Analytics of Wan 2.2 Website
Wan 2.2 Traffic & Rankings
3.9M
Monthly Visits
#14306
Global Rank
#105
Category Rank
Traffic Trends: Mar 2025-Sep 2025
Wan 2.2 User Insights
00:05:23
Avg. Visit Duration
4.28
Pages Per Visit
38.18%
User Bounce Rate
Top Regions of Wan 2.2
US: 10.48%
IN: 9.88%
BR: 5.67%
RU: 5.24%
ID: 4.04%
Others: 64.7%
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