# Wan 2.2 Lightning

Source: https://docs.prodia.com/models/wan-2-2/

Wan 2.2 Lightning is Alibaba's fast video generation model from the Wan family. It generates video in around 22 seconds — making it practical for interactive applications and high-volume pipelines.

### Architecture

Wan 2.2 Lightning uses 14B active parameters in a Diffusion Transformer (DiT) architecture with three key components:

- *T5 text encoder* — encodes multilingual text input with cross-attention in each transformer block
- *Spatiotemporal 3D VAE* — compresses video frames simultaneously across space and time, dramatically reducing compute requirements
- *DiT backbone* — processes the compressed latent space with shared MLP modules across transformer blocks

Wan 2.2 Lightning generates video in just 4 diffusion steps without requiring classifier-free guidance (CFG), enabling fast generation while maintaining strong visual quality.

### When to use Wan 2.2 Lightning

- *Social media content* — fast turnaround for short-form video at 720p
- *Rapid prototyping* — quickly test video concepts before committing to longer, higher-quality generation
- *High-volume pipelines* — the \~22s generation time makes batch processing practical
- *Image animation* — bring product shots, illustrations, or photos to life with the img2vid mode

For higher resolution (1080p), longer duration (up to 15s), or features like audio-driven lip sync and video continuation, consider [Wan 2.7](https://docs.prodia.com/models/wan-2-7/) instead.

### Job types

| Job type                                | Description                                     |
| --------------------------------------- | ----------------------------------------------- |
| `inference.wan2-2.lightning.txt2vid.v0` | Generate a video from a text prompt             |
| `inference.wan2-2.lightning.img2vid.v0` | Generate a video from an input image and prompt |

### Parameters

- `prompt` (required) — text description of the video to generate, up to 2,500 characters
- `resolution` — output resolution: `720p` (default, 1280x720) or `480p` (832x480)
- `seed` — integer for reproducible results
- `image` (img2vid only) — input image filename to animate

### Prompting tips

Wan 2.2 Lightning responds well to specific, action-oriented prompts. Include details about movement, camera angle, and visual style:

- *Be specific about motion:* "A cat walking slowly through a garden" works better than "a cat in a garden"
- *Include visual style cues:* "cinematic lighting", "slow motion", "4k" help guide quality
- *Describe camera movement:* "tracking shot", "pan left", "aerial view" improve spatial coherence
- *Keep it concise:* the model performs best with focused, clear prompts rather than long descriptions

### Examples

Text-to-video:

```json
{
  "type": "inference.wan2-2.lightning.txt2vid.v0",
  "config": {
    "prompt": "Two anthropomorphic cats boxing on a spotlighted stage, cinematic lighting, dynamic camera angles",
    "resolution": "720p"
  }
}
```

Image-to-video (animate a still image):

```json
{
  "type": "inference.wan2-2.lightning.img2vid.v0",
  "config": {
    "prompt": "The person slowly turns their head and smiles, natural movement",
    "image": "portrait.jpg",
    "resolution": "720p"
  }
}
```

### Guides

[Generating Videos](https://docs.prodia.com/guides/generating-videos/) — Step-by-step guide for generating videos with Prodia, including text-to-video and image-to-video examples.