# GPT Image 2.6 Sunburst · 参考图编辑

Sunburst 适合需要精细构图和局部细节的图像创作。 在 NewRouters 使用型号 `gpt-image-2.6-sunburst`.

[API 指南](/zh/docs/models/gpt-image-2.6-sunburst) · [文生图](/zh/docs/models/gpt-image-2.6-sunburst/generations)

将可访问的原图 URL 放进 `input.images`。请把示例 URL 换成自己的图片，并在提示词中说明哪些细节需要保留。编辑结果可选 JPEG、PNG 或 WebP。

```bash
curl "https://newrouters.com/v1/tasks" \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  --data '{
  "model": "gpt-image-2.6-sunburst",
  "input": {
    "prompt": "把杯身改为蓝色，保留杯柄和背景。",
    "size": "auto",
    "quality": "low",
    "output_format": "jpeg",
    "images": [
      "https://example.com/cup.png"
    ]
  }
}'
```

保存响应的任务 ID，使用同一个 Key 轮询 `GET /v1/tasks/{id}`。成功后从 `result.assets` 下载文件。


<!-- official-reference:start -->
[OpenAI · GPT Image 2.6 Sunburst](https://developers.openai.com/api/docs/models/gpt-image-2.6-sunburst) · [OpenAI Images API](https://developers.openai.com/api/docs/guides/image-generation)
<!-- official-reference:end -->

## 多语言请求示例

### JavaScript

```javascript
const apiBaseUrl = "https://newrouters.com";
const apiKey = process.env.API_KEY;
if (!apiKey) throw new Error("Set API_KEY in your server environment");

const response = await fetch(apiBaseUrl + "/v1/tasks", {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
    "Authorization": "Bearer " + apiKey
  },
  body: JSON.stringify({
  "model": "gpt-image-2.6-sunburst",
  "input": {
    "prompt": "把杯身改为蓝色，保留杯柄和背景。",
    "size": "auto",
    "quality": "low",
    "output_format": "jpeg",
    "images": [
      "https://example.com/cup.png"
    ],
    "resolution": "2k"
  }
})
});

const result = await response.json();
if (!response.ok) throw new Error(JSON.stringify(result));
console.log(result);
```

### Python

```python
import json
import os
from urllib.request import Request, urlopen

api_base_url = "https://newrouters.com"
api_key = os.environ["API_KEY"]
body = json.loads("{\"model\":\"gpt-image-2.6-sunburst\",\"input\":{\"prompt\":\"把杯身改为蓝色，保留杯柄和背景。\",\"size\":\"auto\",\"quality\":\"low\",\"output_format\":\"jpeg\",\"images\":[\"https://example.com/cup.png\"],\"resolution\":\"2k\"}}")

request = Request(
    api_base_url + "/v1/tasks",
    data=json.dumps(body).encode("utf-8"),
    headers={
    "Content-Type": "application/json",
    "Authorization": "Bearer " + api_key
    },
    method="POST",
)
with urlopen(request) as response:
    print(json.load(response))
```

## 响应字段节选（示意值）

### HTTP 202

```json
{
  "id": "TASK_ID",
  "status": "pending",
  "model": "gpt-image-2.6-sunburst",
  "result": null,
  "error": null
}
```

### HTTP 200

```json
{
  "id": "TASK_ID",
  "status": "succeeded",
  "model": "gpt-image-2.6-sunburst",
  "result": {
    "assets": [
      "https://example.com/output.png"
    ]
  },
  "error": null
}
```