# openai/gpt-image-2.5-sunburst/text-to-image

> Transform natural language prompts into high-quality, extremely detailed visuals with GPT Image 2.5 Sunburst. Supports precise typography, transparent backgrounds, flexible image sizes, and token-based billing.

## Overview

- **Endpoint**: `https://api.shortapi.ai/api/v1/job/create`
- **Model ID**: `openai/gpt-image-2.5-sunburst/text-to-image`
- **Category**: text-to-image
- **Kind**: inference

## Pricing

Pricing is based on output quality and resolution. The final cost equals the per-image price multiplied by the number of generated images (n).

Low: 1K $0.0066, 2K $0.013, 4K $0.012
Medium: 1K $0.015, 2K $0.030, 4K $0.029
High: 1K $0.059, 2K $0.120, 4K $0.112
XHigh: 1K $0.105, 2K $0.213, 4K $0.199
Max: 1K $0.236, 2K $0.479, 4K $0.448

For more details, please check our pricing page.

## API Information

This model can be used via our HTTP API or more conveniently via our client libraries.
See the input and output schema below, as well as the usage examples.

### Input Schema

The API accepts the following input parameters:

- **`prompt`** (`string`, _required_):
  Text prompt, up to 32,000 characters.
  - Examples: "An action shot of a black lab swimming..."

- **`background`** (`string`, _optional_):
  Background rendering mode.
  - Default: `auto`
  - Options: "auto", "opaque", "transparent"

- **`n`** (`int`, _optional_):
  Number of images to generate.
  - Default: `1`
  - Range: `1` to `10`

- **`output_compression`** (`int`, _optional_):
  Compression level for JPEG or WebP output.
  - Default: `100`
  - Range: `0` to `100`

- **`output_format`** (`string`, _optional_):
  Generated image format.
  - Default: `png`
  - Options: "png", "jpeg", "webp"

- **`quality`** (`string`, _optional_):
  Image generation quality.
  - Default: `low`
  - Options: "low", "medium", "high", "xhigh", "max"

- **`size`** (`string`, _optional_):
  Output image size. 1K, 2K, and 4K sizes are supported.
  - Default: `1024x1024`
  - Options: "1024x1024", "1024x768", "768x1024", "1920x1088", "1088x1920", "1536x1024", "1024x1536", "1920x816", "816x1920", "2048x2048", "2736x2048", "2048x2736", "2560x1440", "1440x2560", "3072x2048", "2048x3072", "2560x1104", "1104x2560", "2880x2880", "3312x2480", "2480x3312", "3840x2160", "2160x3840", "3520x2352", "2352x3520", "3840x1648", "1648x3840"

### Output Schema

The API returns a JSON response with a `job_id` for tracking the request status.

**Create Job Response:**
```json
{
  "code": 0,
  "data": {
    "amount": "0.02",
    "job_id": "<JOB_ID>"
  }
}
```

**Query Job Result (when status is 2, meaning succeeded):**
```json
{
  "code": 0,
  "data": {
    "status": 2,
    "result": {
      "images": [{ "url": "https://..." }]
    }
  }
}
```

## Use Example

To use this model, make an HTTP POST request to the API endpoint, then poll for results using the returned `job_id`.

### Bash (cURL)
```bash
# Step 1: Create a job
response=$(curl --request POST \
  --url https://api.shortapi.ai/api/v1/job/create \
  --header "Authorization: Bearer $SHORTAPI_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "model": "openai/gpt-image-2.5-sunburst/text-to-image",
  "args": {
    "prompt": "A cinematic product photograph of a futuristic transparent smartwatch on a black marble pedestal, dramatic studio lighting, highly detailed."
  },
  "callback_url": "CALLBACK_URL"
}')
JOB_ID=$(echo "$response" | grep -o '"job_id": *"[^"]*"' | sed 's/"job_id": *//; s/"//g')

# Step 2: Poll for results
curl --request GET \
  --url "https://api.shortapi.ai/api/v1/job/query?id=$JOB_ID" \
  --header "Authorization: Bearer $SHORTAPI_KEY"
```

### JavaScript (Fetch API)
```javascript
// Step 1: Create a job
const response = await fetch(`https://api.shortapi.ai/api/v1/job/create`, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${SHORTAPI_KEY}`,
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "openai/gpt-image-2.5-sunburst/text-to-image",
    "args": {
      "prompt": "A cinematic product photograph of a futuristic transparent smartwatch on a black marble pedestal, dramatic studio lighting, highly detailed."
    },
    "callback_url": "CALLBACK_URL"
})
});
const data = await response.json();
const JOB_ID = data.job_id;

// Step 2: Poll for results
const result = await fetch(`https://api.shortapi.ai/api/v1/job/query?id=${JOB_ID}`, {
  method: "GET",
  headers: {
    "Authorization": `Bearer ${SHORTAPI_KEY}`
  }
});
const resultData = await result.json();
console.log(resultData);
```

### Python (Requests)
```python
import requests

# Step 1: Create a job
url = "https://api.shortapi.ai/api/v1/job/create"
payload = {
  "model": "openai/gpt-image-2.5-sunburst/text-to-image",
  "args": {
    "prompt": "A cinematic product photograph of a futuristic transparent smartwatch on a black marble pedestal, dramatic studio lighting, highly detailed."
  },
  "callback_url": "CALLBACK_URL"
}
headers = {
    "Authorization": f"Bearer {SHORTAPI_KEY}",
    "Content-Type": "application/json"
}

response = requests.post(url, headers=headers, json=payload)
data = response.json()
JOB_ID = data.get("job_id")

# Step 2: Poll for results
result_url = f"https://api.shortapi.ai/api/v1/job/query?id={JOB_ID}"
result = requests.get(result_url, headers={"Authorization": f"Bearer {SHORTAPI_KEY}"})
print(result.json())
```