What are Open Source Models for Video Summarization?
Open source models for video summarization are specialized AI systems that can generate, process, and transform video content from various inputs including text descriptions and static images. Using advanced architectures like Mixture-of-Experts (MoE) and diffusion transformers, these models can create dynamic video sequences, transform images into video content, and handle complex visual narratives. They foster collaboration, accelerate innovation, and democratize access to powerful video creation tools, enabling applications from content creation to enterprise video solutions.
Wan-AI/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. The MoE architecture expands model capacity while keeping inference costs nearly unchanged, featuring specialized experts for different generation stages.
Wan-AI/Wan2.2-T2V-A14B: Revolutionary Text-to-Video Generation
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. By introducing an MoE architecture, it expands the total model capacity while keeping inference costs nearly unchanged; it features a high-noise expert for the early stages to handle the overall layout and a low-noise expert for later stages to refine video details. Furthermore, Wan2.2 incorporates meticulously curated aesthetic data with detailed labels for lighting, composition, and color, allowing for more precise and controllable generation of cinematic styles.
Pros
- First open-source MoE architecture for video generation.
- Produces videos at both 480P and 720P resolutions.
- Enhanced generalization across motion, semantics, and aesthetics.
Cons
- Limited to 5-second video duration.
- Requires technical expertise for optimal implementation.
Why We Love It
- It pioneered the MoE architecture in open-source video generation, delivering superior quality while maintaining cost-effective inference for text-to-video applications.
Wan-AI/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, with enhanced stability and reduced unrealistic camera movements.
Wan-AI/Wan2.2-I2V-A14B: Advanced Image-to-Video Transformation
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. 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.
Pros
- Pioneering MoE architecture for image-to-video generation.
- Improved handling of complex motion and aesthetics.
- Enhanced performance without increased inference costs.
Cons
- Requires high-quality input images for optimal results.
- Complex architecture may need specialized hardware.
Why We Love It
- It transforms static images into dynamic video content with unprecedented smoothness and realism, making it ideal for creative storytelling and content enhancement.
Wan-AI/Wan2.1-I2V-14B-720P-Turbo
Wan2.1-I2V-14B-720P-Turbo is the TeaCache accelerated version of the Wan2.1-I2V-14B-720P model, reducing single video generation time by 30%. This 14B parameter model generates 720P high-definition videos and has achieved state-of-the-art performance levels through thousands of rounds of human evaluation.
Wan-AI/Wan2.1-I2V-14B-720P-Turbo: High-Speed HD Video Generation
Wan2.1-I2V-14B-720P-Turbo is the TeaCache accelerated version of the Wan2.1-I2V-14B-720P model, reducing single video generation time by 30%. 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. And 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), scalable training strategies, and large-scale data construction.
Pros
- 30% faster generation with TeaCache acceleration.
- 720P high-definition video output quality.
- State-of-the-art performance validated by human evaluation.
Cons
- Requires substantial computational resources.
- Limited to image-to-video transformation only.
Why We Love It
- It delivers the perfect balance of speed and quality, offering professional-grade 720P video generation with significant time savings for production workflows.
Video Generation Model Comparison
In this table, we compare 2025's leading open source video generation models, each with unique strengths for video summarization and creation. Wan-AI/Wan2.2-T2V-A14B excels in text-to-video generation with MoE architecture, Wan-AI/Wan2.2-I2V-A14B pioneered image-to-video transformation, while Wan-AI/Wan2.1-I2V-14B-720P-Turbo offers accelerated high-definition video generation. This side-by-side comparison helps you choose the right model for your specific video creation needs.
| Number | Model | Developer | Subtype | Pricing (SiliconFlow) | Core Strength |
|---|---|---|---|---|---|
| 1 | Wan-AI/Wan2.2-T2V-A14B | Wan | Text-to-Video | $0.29/Video | First open-source MoE architecture |
| 2 | Wan-AI/Wan2.2-I2V-A14B | Wan | Image-to-Video | $0.29/Video | Advanced motion & aesthetics handling |
| 3 | Wan-AI/Wan2.1-I2V-14B-720P-Turbo | Wan | Image-to-Video | $0.21/Video | 30% faster HD generation |
Frequently Asked Questions
Our top three picks for 2025 are Wan-AI/Wan2.2-T2V-A14B, Wan-AI/Wan2.2-I2V-A14B, and Wan-AI/Wan2.1-I2V-14B-720P-Turbo. Each of these models stood out for their innovation, performance, and unique approach to solving challenges in video generation, from text-to-video creation to high-quality image-to-video transformation.
Our analysis shows different leaders for specific needs. Wan-AI/Wan2.2-T2V-A14B is best for text-to-video generation with its pioneering MoE architecture. For image-to-video transformation with enhanced motion handling, Wan-AI/Wan2.2-I2V-A14B excels. For fast, high-definition video generation, Wan-AI/Wan2.1-I2V-14B-720P-Turbo offers the best speed-to-quality ratio.