Model reference · open weights
Wan2.2-S2V is an open-weight video model from Wan-AI. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.
Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.
What it is
| Maker | Wan-AI |
|---|---|
| Type | Video models |
| Task | Image→video |
| Parameters (lead) | 16.3B |
| Runs with | diffusers |
| Released | 2025-08-25 |
| Popularity | 10k downloads / month |
| Licence | Open weights |
About
This repository features the Wan2.2-S2V-14B model, designed for audio-driven cinematic video generation. It was introduced in the paper: Wan-S2V: Audio-Driven Cinematic Video Generation
💜 Wan Homepage    ｜    🖥️ GitHub    |   🤗 Hugging Face Organization   |   🤖 ModelScope Organization   |    📑 Wan-S2V Paper    |    📑 Wan2.2 Base Paper    | 🌐 Project Page    |    📑 Blog    |    💬 Discord  
📕 使用指南(中文)   |    📘 User Guide(English)   |   💬 WeChat(微信)  
Current state-of-the-art (SOTA) methods for audio-driven character animation demonstrate promising performance for scenarios primarily involving speech and singing. However, they often fall short in more complex film and television productions, which demand sophisticated elements such as nuanced character interactions, realistic body movements, and dynamic camera work. To address this long-standing challenge of achieving film-level character animation, we propose an audio-driven model, which we refere to as Wan-S2V, built upon Wan. Our model achieves significantly enhanced expressiveness and fidelity in cinematic contexts compared to existing approaches. We conducted extensive experiments, benchmarking our method against cutting-edge models such as Hunyuan-Avatar and Omnihuman. The experimental results consistently demonstrate that our approach significantly outperforms these existing solutions. Additionally, we explore the versatility of our method through its applications in long-form video generation and precise video lip-sync editing.
Wan: Open and Advanced Large-Scale Video Generative Models
We are excited to introduce Wan2.2, a major upgrade to our foundational video models. With Wan2.2, we have focused on incorporating the following innovations:
👍 Effective MoE Architecture: Wan2.2 introduces a Mixture-of-Experts (MoE) architecture into video diffusion models. By separating the denoising process cross timesteps with specialized powerful expert models, this enlarges the overall model capacity while maintaining the same computational cost.
👍 Cinematic-level Aesthetics: Wan2.2 incorporates meticulously curated aesthetic data, complete with detailed labels for lighting, composition, contrast, color tone, and more. This allows for more precise and controllable cinematic style generation, facilitating the creation of videos with customizable aesthetic preferences.
👍 Complex Motion Generation: Compared to Wan2.1, Wan2.2 is trained on a significantly larger data, with +65.6% more images and +83.2% more videos. This expansion notably enhances the model's generalization across multiple dimensions such as motions, semantics, and aesthetics, achieving TOP performance among all open-sourced and closed-sourced models.
👍 Efficient High-Definition Hybrid TI2V: Wan2.2 open-sources a 5B model built with our advanced Wan2.2-VAE that achieves a compression ratio of 16×16×4. This model supports both text-to-video and image-to-video generation at 720P resolution with 24fps and can also run on consumer-grade graphics cards like 4090. It is one of the fastest 720P@24fps models currently available, capable of serving both the industrial and academic sectors simultaneously.
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If your research or project builds upon Wan2.1 or Wan2.2, and you would like more people to see it, please inform us.
Clone the repo:
git clone https://github.com/Wan-Video/Wan2.2.git
cd Wan2.2
Install dependencies:
#From the published model card. Full card on the HuggingFace links in the sidebar.
Using it via the API
Once AxForge deploys wan2-2-s2v for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (wan2-2-s2v below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/videos/generations \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"wan2-2-s2v","prompt":"a drone shot over a forest"}'
Create an account — your API key is available in the console. 5M tokens/month currently included with every new account at launch.