Wan2.1 - An open-source video generation model developed by Alibaba's Tongyi Lab.

## Definition of Wan2.1 **Wan2.1** is an open-source video generation model developed by Alibaba's Tongyi Lab. It enables users to create 5-second dynamic videos from text prompts or uploaded images, with additional features like prompt optimization and audio generation. The model is accessible via the web platform [wan.video](https://wan.video/) or as a downloadable open-source project on [GitHub](https://github.com/Wan-Video/Wan2.1). ## Functionalities of Wan2.1 Wan2.1 supports the following core functionalities: - **Text-to-Video**: Generates 5-second videos (480P or 720P) from text descriptions. - **Image-to-Video**: Converts uploaded images into videos. - **Video Editing**: Modifies existing videos. - **Text-to-Image**: Generates static images from text. - **Video-to-Audio**: Adds audio to generated videos. Additional tools include **prompt optimization**, **inspiration mode**, and a **point system** to incentivize user activity. ## Point System on wan.video The **point system** on [wan.video](https://wan.video/) operates as follows: - **Earning Points**: - Daily check-in: 50 points. - Liking content: 10 points. - Publishing work: 40 points. - **Spending Points**: - Each video generation costs 10 points. This gamified design encourages regular platform engagement. ## Hardware Requirements for Wan2.1 To run Wan2.1's **T2V-1.3B model** locally: - **VRAM**: Minimum 8.19 GB (e.g., NVIDIA RTX 4090). - **Generation Time**: ~4 minutes for a 5-second 480P video. Higher-end models like **T2V-14B** require more resources; details are unspecified. ## Access Points for Wan2.1 Users can access Wan2.1 through: 1. **Web Platform**: [wan.video](https://wan.video/) for no-code video generation. 2. **Open-Source Model**: - GitHub: [Wan-Video/Wan2.1](https://github.com/Wan-Video/Wan2.1). - Model Hosts: [Hugging Face](https://huggingface.co/Wan-AI/) or [ModelScope](https://modelscope.cn/organization/Wan-AI). 3. **Third-Party Integrations**: Platforms like [Monica AI](https://monica.im/en/ai-models/wan) and [fal.ai](https://fal.ai/models/fal-ai/wan-t2v) offer limited试用. ## Unique Features of Wan2.1 Wan2.1 stands out due to: - **Wan-VAE Technology**: Encodes/decodes infinite-length 1080P videos while preserving temporal data. - **Multilingual Text Support**: Generates videos with embedded Chinese/English text. - **Scalability**: Models range from 1.3B to 14B parameters, balancing quality and hardware demands. - **Social Integration**: Unique point system fosters community interaction. ## Limitations of Wan2.1 Potential limitations include: - **Hardware Dependency**: Local operation requires high-end GPUs. - **Resolution Trade-offs**: 720P output may be less stable than 480P. - **Point System Clarity**: Unclear if points have caps or alternate uses beyond video generation. - **Platform Accessibility**: [wan.video](https://wan.video/) may have regional restrictions. ### Citation sources: - [Wan2.1](https://wan.video) - Official URL Updated: 2025-04-01