# Qwen Image 2.1 Turbo API Documentation

> LLM-optimized documentation for Qwen Image 2.1 Turbo. Copy into your AI assistant for integration help.

## Overview

**Model ID:** `qwen-image-2.1-turbo`
**Type:** Image Generation
**Credit Cost:** 0.5 credits per image

8-step distilled checkpoint: fast native-2K images and edits

## Endpoint

```
POST https://pixeldojo.ai/api/v1/models/qwen-image-2.1-turbo/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 | Yes | - | What to generate, or the edit to make to the reference images |
| `model` | enum | No | turbo | turbo (8 steps, fast) or base (40 steps, highest detail) (Options: turbo, base) |
| `aspect_ratio` | enum | No | 1:1 | Output aspect ratio (Options: 1:1, 4:3, 3:4, 3:2, 2:3...) |
| `resolution` | enum | No | 2k | 1k (about 1 megapixel) or 2k (about 4 megapixels, the model native size) (Options: 1k, 2k) |
| `num_images` | integer | No | 1 | Images to generate (1-4) (min: 1, max: 4) |
| `reference_images` | array | No | - | Up to 10 image URLs to edit or compose from (people, products, scenes) |
| `negative_prompt` | string | No | - | What to avoid (base model only) |
| `seed` | integer | No | - | Random seed for reproducibility |
| `output_format` | enum | No | jpeg | jpeg, png (keeps transparency) or webp (Options: jpeg, png, webp) |
| `lora_weights` | string | No | - | URL or array of up to 3 Qwen Image 2.1 LoRA .safetensors URLs |
| `lora_scales` | number | No | - | Strength of each LoRA (0-2), a number or an array matching lora_weights |

## Supported Aspect Ratios

- `1:1`
- `4:3`
- `3:4`
- `3:2`
- `2:3`
- `16:9`
- `9:16`

## Capabilities

- Text to Image
- Image to Image
- LoRA Support

## Quick Start

### 1. Submit a Job

```bash
curl -X POST "https://pixeldojo.ai/api/v1/models/qwen-image-2.1-turbo/run" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A neon shop sign that reads \"OPEN LATE\", rainy night, reflections on wet pavement",
    "aspect_ratio": "16:9"
  }'
```

**Response:**
```json
{
  "jobId": "job_abc123...",
  "status": "pending",
  "statusUrl": "https://pixeldojo.ai/api/v1/jobs/job_abc123",
  "creditCost": 0.5,
  "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": {
    "images": ["https://temp.pixeldojo.ai/..."]
  },
  "creditCost": 0.5
}
```

## Python Example

```python
import requests
import time

API_KEY = "YOUR_API_KEY"

# Submit job
response = requests.post(
    "https://pixeldojo.ai/api/v1/models/qwen-image-2.1-turbo/run",
    headers={
        "Authorization": f"Bearer {API_KEY}",
        "Content-Type": "application/json"
    },
    json={
        "prompt": "A neon shop sign that reads \"OPEN LATE\", rainy night, reflections on wet pavement",
        "aspect_ratio": "16:9"
    }
)

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/qwen-image-2.1-turbo/run', {
  method: 'POST',
  headers: {
    'Authorization': `Bearer ${API_KEY}`,
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    "prompt": "A neon shop sign that reads \"OPEN LATE\", rainy night, reflections on wet pavement",
    "aspect_ratio": "16:9"
  })
});

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);
```

## Use Saved Characters (@Name)

Write `@Name` in the prompt to use a character, product, outfit, location, prop or style saved in the account's Character Studio, for example `"@Mara on a beach at sunset"`. Its photos are added to `reference_images` automatically, after any images you send yourself, so your own image numbering is unchanged. List saved names with `GET /api/v1/characters` and save new ones with `POST /api/v1/characters`. An `@word` that names nothing saved stays plain text.

## 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 |
| `internal_error` | 500 | Server error |

## Links

- **Full Documentation:** https://pixeldojo.ai/api-platform/qwen-image-2.1-turbo
- **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