# Ernie Image Turbo API

> تقریباً 8 ڈینوائزنگ مراحل اور کم رہنمائی کے لیے بہتر بنایا گیا تیز Ernie Image ویرینٹ

انگریزی، چینی یا جاپانی پرامپٹس کے ساتھ متن سے تصویر کے لیے Ernie Image کا Turbo ورژن۔ `num_inference_steps` کا ڈیفالٹ 8 (زیادہ سے زیادہ 20) اور `guidance_scale` 1 ہے۔ یہ `negative_prompt`، `image_size` پری سیٹس، ہر کال پر زیادہ سے زیادہ 4 تصاویر، اختیاری پرامپٹ توسیع، اور jpeg یا png آؤٹ پٹ بھی سپورٹ کرتا ہے۔

- Model id: `ernie-image/turbo`
- Made by: Baidu
- Category: Text to Image
- Output: image
- Estimated price per run: $0.01 / image (cheapest run $0.01 (10 API credits))
- Run: `POST https://api.doitong.com/v1/run/ernie-image/turbo`
- Quote: `POST https://api.doitong.com/v1/quote/ernie-image/turbo`
- Docs page: https://doitong.com/ur/developers/models/ernie-image/turbo

## Pricing

Price: **$0.01 / image**. Estimated from the typical cost of one run, per output (`num_images`). The quote is exactly what the run charges.

The full example input below costs $0.01 = 10 API credits (1 image × 10 API credits).

Prices are the upstream price in USD, paid from the API balance in API credits (1000 API credits = 1 USD). `POST https://api.doitong.com/v1/quote/ernie-image/turbo` with the same JSON body returns the exact price for that input; the quote is exactly what a run charges. Invalid input is never charged and failed or canceled requests are refunded automatically.

## Input parameters

Send either the canonical name or the native field name (not both). Canonical names are the same across models.

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `prompt` |  | string | yes |  |  | تصویر تخلیق کرنے کا پرامپٹ جو English، Chinese یا Japanese متن قبول کرتا ہے۔ |
| `negative_prompt` |  | string | no | `` |  | تصویر سے خارج کیے جانے والے مواد کی وضاحت کرنے والا منفی پرامپٹ۔ |
| `image_size` |  | object {width, height} \| enum (string) | no | `square_hd` | `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9`, `square_uhd`, `portrait_3_2`, `landscape_3_2`, `portrait_hd`, `landscape_hd` | تخلیق شدہ تصویر کی dimensions۔ |
| `num_inference_steps` |  | integer | no | `8` | 1 – 20 | Denoising steps کی تعداد۔ Turbo ماڈل کو 8 steps کے لیے tune کیا گیا ہے۔ |
| `guidance_scale` |  | number | no | `1` | 1 – 20 | classifier-free guidance کی طاقت۔ |
| `seed` |  | integer \| null | no |  |  | قابلِ تکرار نتائج کے لیے بے ترتیبی کو کنٹرول کرنے والا سیڈ۔ |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | تیار کی جانے والی تصاویر کی تعداد۔ |
| `enable_prompt_expansion` |  | boolean | no | `true` |  | LLM پر مبنی پرامپٹ enhancement کا کنٹرول، جو فعال ہونے پر نتائج میں تفصیل شامل کرتا ہے۔ |
| `enable_safety_checker` |  | boolean | no | `true` |  | تخلیق کردہ تصاویر کی NSFW جانچ، جسے صرف مجاز اکاؤنٹس بند کر سکتے ہیں۔ ایسی اجازت کے بغیر درخواستوں کے لیے جانچ لازمی رہتی ہے۔ |
| `output_format` |  | enum (string) | no | `jpeg` | `jpeg`, `png` | نتیجے کی تصویر کا فارمیٹ۔ |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular`, `high` | تصاویر تخلیق کرنے کے لیے acceleration سیٹنگ۔ |

## Example input

Required parameters only:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

A fuller example:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

## Run it

Set `DOITONG_API_KEY` to a key from https://doitong.com/developers/dashboard#keys. `?wait=20` returns the finished request in the same call when it is ready within 20 seconds; otherwise poll `GET /requests/{id}` (it also accepts `?wait=`), or pass `webhook_url`.

### curl

```bash
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/ernie-image/turbo?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.com/v1";
const headers = {
  "Authorization": "Bearer " + process.env.DOITONG_API_KEY,
  "Content-Type": "application/json",
};

// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/ernie-image/turbo?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);

// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
  res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
  request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
```

### Python

```python
import os
import requests

API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/ernie-image/turbo", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
    raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])

# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
    request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
    raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
```

### MCP

The MCP server at `https://api.doitong.com/v1/mcp` exposes the tools `search_models`, `get_model`, `quote`, `run`, `get_request`, `cancel_request`, `list_requests`, `create_upload` and `get_account`. A `run` call for this model:

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "run",
    "arguments": {
      "model_id": "ernie-image/turbo",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
      },
      "wait_seconds": 20
    }
  }
}
```

## Response

Every call returns a request object. `status` is one of `queued`, `running`, `succeeded`, `failed`, `canceled`. `outputs` lists the generated files with URLs on our storage (kept forever, or 7 days with `?storage=temporary`; `storage` says which); `output` is the model's own result object with the same URLs.

```json
{
  "id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
  "object": "request",
  "model": "ernie-image/turbo",
  "status": "succeeded",
  "created_at": "2026-10-20T12:00:00Z",
  "started_at": "2026-10-20T12:00:02Z",
  "completed_at": "2026-10-20T12:00:09Z",
  "queue_position": null,
  "cost": {
    "credits": 10,
    "usd": "0.01",
    "charged": 10,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  },
  "output": {
    "images": [
      {
        "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
        "width": 1024,
        "height": 768,
        "content_type": "image/jpeg"
      }
    ],
    "seed": 42,
    "prompt": "string",
    "timings": {}
  },
  "outputs": [
    {
      "type": "image",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_size": 1843200,
      "width": 1024,
      "height": 768,
      "stored": true
    }
  ],
  "error": null,
  "metrics": {
    "inference_seconds": 6.8
  },
  "urls": {
    "self": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `images` | array of object {url, width, height, content_type} | تخلیق کردہ تصاویر کا مجموعہ۔ |
| `seed` | integer | تخلیق کے دوران لاگو ہونے والی سیڈ۔ |
| `prompt` | string | تصویر کی تخلیق کے دوران استعمال ہونے والا پرامپٹ۔ |
| `timings` | object | ٹائمنگ ڈیٹا۔ |

## Related models

- [Ernie Image](https://doitong.com/developers/models/ernie-image.md) (`ernie-image`): $0.03 / image
- [FLUX.1 \[dev\]](https://doitong.com/developers/models/flux/dev.md) (`flux/dev`): $0.025 / megapixel
- [FLUX.1 \[schnell\]](https://doitong.com/developers/models/flux/schnell.md) (`flux/schnell`): $0.003 / megapixel
- [FLUX.2 \[dev\]](https://doitong.com/developers/models/flux-2.md) (`flux-2`): $0.012 / megapixel
- [FLUX.2 \[pro\]](https://doitong.com/developers/models/flux-2-pro.md) (`flux-2-pro`): $0.015 / megapixel of output image
- [GPT Image 2.5 Text to Image](https://doitong.com/developers/models/openai/gpt-image-2.5/flare/text-to-image.md) (`openai/gpt-image-2.5/flare/text-to-image`): from $0.008 / image
- [Ideogram V4.5](https://doitong.com/developers/models/ideogram/v4.5.md) (`ideogram/v4.5`): from $0.03 / image
- [Nano Banana 2](https://doitong.com/developers/models/nano-banana-2.md) (`nano-banana-2`): from $0.06 / image

## Links

- HTML page: https://doitong.com/developers/models/ernie-image/turbo
- All models and guides for AI agents: https://doitong.com/developers/llms.txt
- OpenAPI 3.1 with this model's typed request body: https://doitong.com/developers/openapi.json?model=ernie-image/turbo
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/ernie-image/turbo