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| title: Wan2.2-S2V | |
| emoji: 🗣️ | |
| colorFrom: indigo | |
| colorTo: blue | |
| sdk: static | |
| pinned: false | |
| license: apache-2.0 | |
| short_description: Reference for Wan2.2-S2V, audio-driven video generation | |
| tags: | |
| - image-to-video | |
| - video-generation | |
| - audio-driven | |
| - talking-head | |
| - wan | |
| - wavespeed | |
| models: | |
| - Wan-AI/Wan2.2-S2V-14B | |
| # Wan2.2-S2V | |
| A reference page for **Wan2.2-S2V**, the speech-to-video checkpoint in Alibaba Tongyi | |
| Lab's Wan 2.2 family. It animates a single reference image from an audio track, driving | |
| lip sync, head motion and gesture together. | |
| - Weights: [Wan-AI/Wan2.2-S2V-14B](https://huggingface.co/Wan-AI/Wan2.2-S2V-14B) | |
| - Code: [Wan-Video/Wan2.2](https://github.com/Wan-Video/Wan2.2) | |
| - Hosted inference: [wan-2.2/speech-to-video](https://wavespeed.ai/models/wavespeed-ai/wan-2.2/speech-to-video) | |
| Wan2.2-S2V is developed and released by Alibaba Tongyi Lab. This Space is maintained by | |
| WaveSpeed AI, which provides hosted inference for the model. | |