# WAN 2.1 Video API Documentation

> LLM-optimized documentation for WAN 2.1 Video. Copy into your AI assistant for integration help.

## Overview

**Model ID:** `wan-2.1-video`
**Type:** Video Generation
**Credit Cost:** 1.5 credits per second

WAN 2.1 (14B) text & image to video with LoRA support. 480p/720p, 1-5 second clips.

## Endpoint

```
POST https://pixeldojo.ai/api/v1/models/wan-2.1-video/run
```

## Authentication

All requests require an API key in the Authorization header:

```
Authorization: Bearer YOUR_API_KEY
```

Get your API key: https://pixeldojo.ai/api-platform/api-keys

## Input Parameters

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| `prompt` | string | No | - | Text description of the video to generate |
| `image_url` | url | No | - | Optional starting-frame image (public HTTPS URL). When set, the tool runs image-to-video; when omitted, text-to-video. |
| `negative_prompt` | string | No | - | What to avoid in the video |
| `resolution` | enum | No | 480p | Output resolution (Options: 480p, 720p) |
| `aspect_ratio` | enum | No | 16:9 | Aspect ratio of the output video (Options: 16:9, 9:16, 1:1) |
| `duration` | integer | No | 5 | Video length in seconds (1-5, clips render at 16fps) (min: 1, max: 5) |
| `fast_mode` | enum | No | Balanced | Acceleration level — faster modes may reduce quality slightly (Options: Off, Balanced, Fast) |
| `lora_url` | string | No | - | HuggingFace, CivitAI, or .safetensors URL for a custom LoRA |
| `lora_strength` | number | No | 1 | How strongly the LoRA is applied (0 disables it) (min: 0, max: 2) |
| `sample_steps` | integer | No | 30 | Number of inference steps (min: 1, max: 40) |
| `sample_guide_scale` | number | No | 5 | Higher values follow the prompt more closely (min: 0, max: 10) |
| `sample_shift` | number | No | 8 | Flow shift parameter for video generation (min: 1, max: 12) |
| `seed` | integer | No | - | Random seed for reproducibility |

## Supported Aspect Ratios

- `16:9`
- `9:16`
- `1:1`

## Capabilities

- Text to Video
- Image to Video
- LoRA Support
- NSFW Content

## Quick Start

### 1. Submit a Job

```bash
curl -X POST "https://pixeldojo.ai/api/v1/models/wan-2.1-video/run" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A cat doing an acrobatic dive into a swimming pool at the olympics",
    "duration": 5
  }'
```

**Response:**
```json
{
  "jobId": "job_abc123...",
  "status": "pending",
  "statusUrl": "https://pixeldojo.ai/api/v1/jobs/job_abc123",
  "creditCost": 7.5,
  "creditsRemaining": 95
}
```

### 2. Poll for Results

```bash
curl "https://pixeldojo.ai/api/v1/jobs/job_abc123" \
  -H "Authorization: Bearer YOUR_API_KEY"
```

**Completed Response:**
```json
{
  "jobId": "job_abc123...",
  "status": "completed",
  "output": {
    "video": "https://temp.pixeldojo.ai/..."
  },
  "creditCost": 7.5
}
```

## Python Example

```python
import requests
import time

API_KEY = "YOUR_API_KEY"

# Submit job
response = requests.post(
    "https://pixeldojo.ai/api/v1/models/wan-2.1-video/run",
    headers={
        "Authorization": f"Bearer {API_KEY}",
        "Content-Type": "application/json"
    },
    json={
        "prompt": "A cat doing an acrobatic dive into a swimming pool at the olympics",
        "duration": 5
    }
)

job = response.json()
job_id = job["jobId"]

# Poll for completion
while True:
    status_response = requests.get(
        f"https://pixeldojo.ai/api/v1/jobs/{'{job_id}'}",
        headers={"Authorization": f"Bearer {API_KEY}"}
    )
    status = status_response.json()
    
    if status["status"] == "completed":
        print("Output:", status["output"])
        break
    elif status["status"] == "failed":
        print("Error:", status.get("error"))
        break
    
    time.sleep(2)
```

## JavaScript Example

```javascript
const API_KEY = 'YOUR_API_KEY';

// Submit job
const submitResponse = await fetch('https://pixeldojo.ai/api/v1/models/wan-2.1-video/run', {
  method: 'POST',
  headers: {
    'Authorization': `Bearer ${API_KEY}`,
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    "prompt": "A cat doing an acrobatic dive into a swimming pool at the olympics",
    "duration": 5
  })
});

const job = await submitResponse.json();

// Poll for completion
const pollForResult = async (jobId) => {
  while (true) {
    const statusResponse = await fetch(`https://pixeldojo.ai/api/v1/jobs/${jobId}`, {
      headers: { 'Authorization': `Bearer ${API_KEY}` }
    });
    const status = await statusResponse.json();
    
    if (status.status === 'completed') return status.output;
    if (status.status === 'failed') throw new Error(status.error);
    
    await new Promise(r => setTimeout(r, 2000));
  }
};

const output = await pollForResult(job.jobId);
console.log('Output:', output);
```

## Error Codes

| Code | Status | Description |
|------|--------|-------------|
| `unauthorized` | 401 | Invalid or missing API key |
| `insufficient_credits` | 402 | Not enough credits |
| `invalid_request` | 400 | Invalid parameters |
| `model_not_found` | 404 | Model ID not found |
| `rate_limited` | 429 | Too many requests |
| `internal_error` | 500 | Server error |

## Links

- **Full Documentation:** https://pixeldojo.ai/api-platform/wan-2.1-video
- **API Keys:** https://pixeldojo.ai/api-platform/api-keys
- **Buy Credits:** https://pixeldojo.ai/api-platform/buy-credits
- **All Models:** https://pixeldojo.ai/api/v1/models
- **OpenAPI Spec:** https://pixeldojo.ai/api/openapi