WAN 2.2-S2V — Technical Introduction
WAN 2.2-S2V is an advanced speech-to-video platform that converts audio recordings and a reference image into synchronized, cinematic videos driven by a 27B-parameter Mixture-of-Experts speech model. The system focuses on technical fidelity—accurate speech understanding, emotion-aware timing, and near-perfect lip-sync—while providing production-ready outputs (480P/720P) in minutes.
Key features
- 27B-parameter Mixture-of-Experts model specialized for speech analysis and generation.
- High-quality avatar rendering with realistic facial expressions, gestures, and cinematic lighting.
- Accurate lip-sync and speech rhythm modeling across 40+ languages and speaking styles.
- Output resolution options (default 480P; 720P HD supported) with fast generation times (under ~10 minutes for typical samples).
- Open-source model distribution (Apache 2.0) and model repo: https://huggingface.co/Wan-AI/Wan2.2-S2V-14B.
- Web UI and embeddable Gradio interface; supports camera, microphone, and file uploads.
- Common audio format support (MP3, WAV, M4A, FLAC, etc.) and image reference input for avatar personalization.
- Production metrics and benchmarks: FID 15.66, PSNR 20.49, SSIM 0.734 (reported by the project).
- API access and downloadable outputs for integration into content pipelines.
Target users and use cases
- Content creators and social marketers: fast conversion of scripts or voice recordings into promo videos and social clips.
- Educators and e-learning platforms: generate lectures, training modules, and multilingual instructional videos without on-camera presenters.
- Corporate communications and training teams: rapid creation of standardized training materials and announcements.
- Podcasters and audio producers: convert audio content into visual assets for distribution on video platforms.
- Researchers and developers: study and extend a high-capacity open-source speech-to-video model via Hugging Face and GitHub repositories.
Technical considerations
- Designed to run on standard GPU-accelerated inference hardware; resource needs scale with resolution and model variant.
- Distilled Gradio demo available for quick testing; full model available for deployment for production or research use.
- Licensing: Apache 2.0 for model artifacts, enabling research and commercial use under standard terms.
How it works (high level)
- Provide an input audio file (or record live) and a reference image (avatar or face photo).
- Model analyzes speech: phonemes, prosody, rhythm, and emotion, across supported languages.
- Synthesis pipeline generates temporally consistent facial animation and renders the avatar with lighting and camera framing.
- Output is encoded to an MP4 video (selectable resolution) ready for download or API consumption.
This combination of a specialized large speech model, practical web tooling (Gradio + embeddable UI), and open-source availability makes WAN 2.2-S2V a flexible option for integrating speech-driven video generation into production workflows.
