Wan2.2-S2V - Ali Tongyi open source audio-driven video generation model

What is Wan2.2-S2V?

Wan2.2-S2V is Ali Tongyi open source multimodal video generation model , only a static picture and a piece of audio , can generate high-quality digital human video , and support for a variety of image types and picture format . Users can control the video screen by inputting text prompts to make the content richer. The model integrates a variety of innovative technologies to realize audio-driven video generation for complex scenes, and supports long video generation and multi-resolution training and inference.Wan2.2-S2V is widely used in the fields of digital human live broadcasting, film and TV production, AI education, etc., and provides powerful technical support for content creation and digital human applications.

Functional Features of Wan2.2-S2V

• Video Generation: Only one still image and one piece of audio are needed to generate high-quality digital human videos that support a wide range of image types and frame sizes.
• text control: Users are able to control the video screen by entering text prompts, allowing for richer and more personalized video content.
• Long video generation: Based on hierarchical frame compression technology, it can generate stable long videos to meet the needs of different scenes.
• Multi-resolution support: Support video generation in different resolutions to adapt to diversified application scenarios.
• Multi-type image support: The model is capable of driving a wide range of types of pictures such as real people, cartoons, animals, digital people, etc. It is suitable for a wide range of applications.

Core Benefits of Wan2.2-S2V

• Multi-modal fusion technology: The model integrates audio-driven and text-control technologies, which can generate natural and smooth video through audio, and realize precise screen control based on text prompts, so as to make the video content richer and more diversified.
• Long video generation capability: Using hierarchical frame compression technology, it can generate stable long videos to meet the needs of digital people live broadcasting, film and television production and other scenarios.
• Multi-Resolution Adaptation: Support video generation with different resolutions, adapt to diversified application scenarios, and enhance the versatility and flexibility of video.
• Wide range of applicability: Supports a wide range of image types and formats, including real people, cartoons, animals, etc., for a wide range of applications and more possibilities for content creation.

What is Wan2.2-S2V's official website?

• Project website::a complete picture of everything
• HuggingFace Model Library:: https://huggingface.co/Wan-AI/Wan2.2-S2V-14B

Population for Wan2.2-S2V

• content creator: Short video bloggers and self-publishers use the model to quickly generate video content, improve the efficiency of creation, enrich the form of the video, and attract more viewers.
• moviemaker: Film and TV VFX artists and animators generate high-quality digital human videos, reducing filming costs and time and realizing more complex ideas.
• educator: Teachers and online education platforms create personalized teaching videos to make teaching content more vivid and interesting, and improve students' learning interest and effectiveness.
• Corporate marketers: Brand promotion, e-commerce live staff to produce live video of digital people, enhance brand influence, expand marketing channels.
• Technology Developer: AI developers and researchers use the open source code for secondary development, explore more application scenarios and technology optimization, and promote technological innovation.