What are Wan AI Video Generation Models?
Wan AI video generation models are specialized artificial intelligence systems developed by Alibaba's AI initiative that transform static images and text descriptions into dynamic video sequences. Using advanced Mixture-of-Experts (MoE) architectures and diffusion transformer technology, these models represent the industry's first open-source video generation systems with MoE design. They enable creators to generate smooth, natural videos from text prompts or convert static images into engaging video content. These models foster innovation in video creation, democratize access to professional video generation tools, and enable a wide range of applications from content creation to enterprise video production.
Wan2.2-I2V-A14B
Wan2.2-I2V-A14B is one of the industry's first open-source image-to-video generation models featuring a Mixture-of-Experts (MoE) architecture, released by Alibaba's AI initiative, Wan-AI. The model specializes in transforming a static image into a smooth, natural video sequence based on a text prompt. Its key innovation is the MoE architecture, which employs a high-noise expert for the initial video layout and a low-noise expert to refine details in later stages, enhancing model performance without increasing inference costs.
Wan2.2-I2V-A14B: Revolutionary Image-to-Video Generation
Wan2.2-I2V-A14B represents a breakthrough in open-source video generation, being one of the first models to feature a Mixture-of-Experts (MoE) architecture for image-to-video tasks. Compared to its predecessors, Wan2.2 was trained on a significantly larger dataset, which notably improves its ability to handle complex motion, aesthetics, and semantics, resulting in more stable videos with reduced unrealistic camera movements. The innovative MoE design uses specialized experts for different stages of video generation, optimizing both quality and computational efficiency.
Pros
- Industry-first open-source MoE architecture for video generation.
- Superior handling of complex motion and aesthetics.
- Reduced unrealistic camera movements and improved stability.
Cons
- Requires input image for video generation (not text-only).
- May require technical expertise for optimal implementation.
Why We Love It
- It pioneered the open-source MoE approach to video generation, delivering professional-quality image-to-video transformation with unprecedented efficiency and motion handling.
Wan2.2-T2V-A14B
Wan2.2-T2V-A14B is the industry's first open-source video generation model with a Mixture-of-Experts (MoE) architecture, released by Alibaba. This model focuses on text-to-video (T2V) generation, capable of producing 5-second videos at both 480P and 720P resolutions. It features a high-noise expert for early stages to handle overall layout and a low-noise expert for later stages to refine video details.
Wan2.2-T2V-A14B: First Open-Source MoE Text-to-Video Model
Wan2.2-T2V-A14B makes history as the industry's first open-source video generation model with a Mixture-of-Experts architecture. By introducing an MoE architecture, it expands the total model capacity while keeping inference costs nearly unchanged. The model incorporates meticulously curated aesthetic data with detailed labels for lighting, composition, and color, allowing for more precise and controllable generation of cinematic styles. Compared to its predecessor, it was trained on significantly larger datasets, notably enhancing its generalization across motion, semantics, and aesthetics.
Pros
- First open-source MoE architecture for text-to-video generation.
- Supports both 480P and 720P video generation.
- Advanced cinematic style control with aesthetic data.
Cons
- Limited to 5-second video generation.
- Complex architecture may require specialized hardware.
Why We Love It
- It revolutionized open-source video generation by introducing the first MoE architecture for text-to-video, enabling cinematic-quality content creation with precise style control.
Wan2.1-I2V-14B-720P
Wan2.1-I2V-14B-720P is an open-source advanced image-to-video generation model, part of the Wan2.1 video foundation model suite. This 14B model can generate 720P high-definition videos. After thousands of rounds of human evaluation, this model is reaching state-of-the-art performance levels. It utilizes a diffusion transformer architecture and enhances generation capabilities through innovative spatiotemporal variational autoencoders (VAE).
Wan2.1-I2V-14B-720P: High-Definition Video Generation Foundation
Wan2.1-I2V-14B-720P represents a significant advancement in image-to-video generation technology. This 14 billion parameter model achieves state-of-the-art performance levels through extensive human evaluation and optimization. It utilizes a sophisticated diffusion transformer architecture enhanced by innovative spatiotemporal variational autoencoders (VAE), scalable training strategies, and large-scale data construction. The model supports both Chinese and English text processing, making it versatile for global applications while delivering high-quality 720P video output.
Pros
- State-of-the-art performance validated by human evaluation.
- High-quality 720P video generation capability.
- Bilingual support for Chinese and English text.
Cons
- Requires significant computational resources for 14B parameters.
- Generation times may be longer for high-quality 720P output.
Why We Love It
- It delivers proven state-of-the-art image-to-video performance with 720P quality, backed by extensive human evaluation and innovative spatiotemporal processing technology.
Wan AI Model Comparison
In this table, we compare 2025's leading Wan AI video generation models, each excelling in different aspects of video creation. For cutting-edge MoE image-to-video generation, Wan2.2-I2V-A14B leads the way. For revolutionary text-to-video creation, Wan2.2-T2V-A14B offers industry-first MoE architecture. For proven high-definition results, Wan2.1-I2V-14B-720P provides state-of-the-art performance. This comparison helps you select the optimal model for your video generation needs.
| Number | Model | Developer | Subtype | SiliconFlow Pricing | Core Strength |
|---|---|---|---|---|---|
| 1 | Wan2.2-I2V-A14B | Wan-AI | Image-to-Video | $0.29/Video | Industry-first open-source MoE |
| 2 | Wan2.2-T2V-A14B | Wan-AI | Text-to-Video | $0.29/Video | First MoE text-to-video model |
| 3 | Wan2.1-I2V-14B-720P | Wan-AI | Image-to-Video | $0.29/Video | State-of-the-art 720P generation |
Frequently Asked Questions
Our top three picks for 2025 are Wan2.2-I2V-A14B, Wan2.2-T2V-A14B, and Wan2.1-I2V-14B-720P. Each of these models stood out for their innovation in video generation, with the Wan2.2 series introducing industry-first Mixture-of-Experts architecture and the Wan2.1 model delivering state-of-the-art 720P video quality.
For image-to-video generation with cutting-edge MoE efficiency, Wan2.2-I2V-A14B is the top choice. For text-to-video creation with cinematic style control, Wan2.2-T2V-A14B excels with its industry-first MoE text-to-video architecture. For high-definition 720P image-to-video conversion with proven performance, Wan2.1-I2V-14B-720P delivers state-of-the-art results validated by extensive human evaluation.