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What is Wan2.2?

Wan2.2 represents a major upgrade to the Wan collection of open video foundation models by implementing a Mixture-of-Experts (MoE) architecture that differentiates the diffusion denoising process into distinct pathways for high and low noise, which significantly boosts model capacity while keeping inference costs low. This improvement utilizes meticulously labeled aesthetic data that includes factors like lighting, composition, contrast, and color tone, enabling the production of cinematic-style videos with high precision and control. With a training dataset that includes over 65% more images and 83% more videos than its predecessor, Wan2.2 excels in areas such as motion representation, semantic comprehension, and aesthetic versatility. In addition, the release introduces a compact TI2V-5B model that features an advanced VAE and achieves a remarkable compression ratio of 16×16×4, allowing for both text-to-video and image-to-video synthesis at 720p/24 fps on consumer-grade GPUs like the RTX 4090. Prebuilt checkpoints for the T2V-A14B, I2V-A14B, and TI2V-5B models are also provided, making it easy to integrate these advancements into a variety of projects and workflows. This development not only improves video generation capabilities but also establishes a new standard for the performance and quality of open video models within the industry, showcasing the potential for future innovations in video technology.

What is ModelScope?

This advanced system employs a complex multi-stage diffusion model to translate English text descriptions into corresponding video outputs. It consists of three interlinked sub-networks: the first extracts features from the text, the second translates these features into a latent space for video, and the third transforms this latent representation into a final visual video format. With around 1.7 billion parameters, the model leverages the Unet3D architecture to facilitate effective video generation through a process of iterative denoising that starts with pure Gaussian noise. This cutting-edge methodology enables the production of engaging video sequences that faithfully embody the stories outlined in the input descriptions, showcasing the model's ability to capture intricate details and maintain narrative coherence throughout the video. Furthermore, this system opens new avenues for creative expression and storytelling in digital media.

Media

Media

Integrations Supported

Fuser
Wan AI
WaveSpeedAI
graphis

Integrations Supported

01.AI
GLM-4.5
Hydrogen-1.0
Pumli
Qwen 4
Qwen-7B
Qwen-Image
Qwen2.5-Max
Qwen2.5-VL
Qwen3.6-Max-Preview
Qwen3.8-2.4T-A95B
Qwen3.8-27B
Qwen3.8-Flash-Next
Qwen3.8-Max
Qwen3.8-Omni-Flash
Step 5 Preview

API Availability

Has API

API Availability

Pricing Information

Free
Free Version

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

wan.video

Company Facts

Organization Name

Alibaba Cloud

Company Location

China

Company Website

modelscope.cn/

Categories and Features

AI Models

Not specified

AI Video Generators

Not specified

AI Video Models

Not specified

Categories and Features

AI Gateways

Not specified

AI Inference

Not specified

AI Tools

Not specified

AI Video Generators

Not specified

ML Model Deployment

Not specified

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