# Seedream 5.0 Pro Text to Image API

> مدل شاخص تصویر ByteDance برای عکس‌ها و پوسترهای حرفه‌ای، تا 2K.

Seedream 5.0 Pro تصاویر غنی و دقیق با تایپوگرافی دقیق و کنترل قدرتمند سبک تولید می‌کند؛ از ادیتوریال‌های مد تا بسته‌بندی و پوسترهای مصور. خروجی بین 1 و 4 مگاپیکسل است (پیش‌فرض auto_2K یک فریم 2K را برای پرامپت انتخاب می‌کند) و می‌تواند در هر درخواست حداکثر شش تصویر برگرداند. تقویت‌کننده داخلی پرامپت در حالت استاندارد یا سریع اجرا می‌شود.

- Model id: `bytedance/seedream/v5/pro/text-to-image`
- Made by: ByteDance
- Category: Text to Image
- Output: image
- Price per run: from $0.0675 / run of output image (cheapest run $0.068 (68 API credits))
- Run: `POST https://api.doitong.ru/v1/run/bytedance/seedream/v5/pro/text-to-image`
- Quote: `POST https://api.doitong.ru/v1/quote/bytedance/seedream/v5/pro/text-to-image`
- Docs page: https://doitong.com/fa/developers/models/bytedance/seedream/v5/pro/text-to-image

## Pricing

Price: **from $0.0675 / run of output image** (the lowest tier; the quote prices your exact input). Price per run: the input files are measured before the run (length, resolution, frame rate). The quote measures the same files and is exactly what the run charges.

The full example input below costs $0.135 = 135 API credits (1 run × $0.135).

Prices are the upstream price in USD, paid from the API balance in API credits (1000 API credits = 1 USD). `POST https://api.doitong.ru/v1/quote/bytedance/seedream/v5/pro/text-to-image` 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 |  |  | دستورهای متنی برای تولید تصویر. |
| `image_size` |  | object {width, height} \| enum (string) | no | `auto_2K` | `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9`, `auto_1K`, `auto_2K` | ابعاد تصویر خروجی، با تعداد پیکسل کل بین 1024x1024–2048x2048 و نسبت ابعاد بین 1/16–16. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 6 | تعداد اجرای مستقل تولید مدل با استفاده از پرامپت. |
| `output_format` |  | enum (string) | no | `jpeg` | `jpeg`, `png` | قالب فایل تصویر خروجی. |
| `enhance_prompt_mode` |  | enum (string) | no | `standard` | `standard`, `fast` | تنظیم بهینه‌سازی پرامپت: `standard` کیفیت تصویر و `fast` زمان کوتاه‌تر تولید را ترجیح می‌دهد. |

## Example input

Required parameters only:

```json
{
  "prompt": "Fashion editorial of a model in a coat patterned with West African textile motifs, studio backdrop, soft key light"
}
```

A fuller example:

```json
{
  "prompt": "Fashion editorial of a model in a coat patterned with West African textile motifs, studio backdrop, soft key light",
  "image_size": "auto_2K"
}
```

## 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.ru/v1/run/bytedance/seedream/v5/pro/text-to-image?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Fashion editorial of a model in a coat patterned with West African textile motifs, studio backdrop, soft key light",
    "image_size": "auto_2K"
  }'

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

### JavaScript

```javascript
const API = "https://api.doitong.ru/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/bytedance/seedream/v5/pro/text-to-image?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "Fashion editorial of a model in a coat patterned with West African textile motifs, studio backdrop, soft key light",
    "image_size": "auto_2K"
  }),
});
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.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "prompt": "Fashion editorial of a model in a coat patterned with West African textile motifs, studio backdrop, soft key light",
    "image_size": "auto_2K",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/bytedance/seedream/v5/pro/text-to-image", 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.ru/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": "bytedance/seedream/v5/pro/text-to-image",
      "input": {
        "prompt": "Fashion editorial of a model in a coat patterned with West African textile motifs, studio backdrop, soft key light",
        "image_size": "auto_2K"
      },
      "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": "bytedance/seedream/v5/pro/text-to-image",
  "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": 135,
    "usd": "0.135",
    "charged": 135,
    "refunded": 0
  },
  "input": {
    "prompt": "Fashion editorial of a model in a coat patterned with West African textile motifs, studio backdrop, soft key light",
    "image_size": "auto_2K"
  },
  "output": {
    "images": [
      {
        "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
        "content_type": "image/jpeg",
        "file_name": "0-output.jpeg",
        "file_size": 1843200,
        "width": 1024,
        "height": 768
      }
    ]
  },
  "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.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `images` | array of object {url, content_type, file_name, file_size, width, height} | تصاویر تولیدشده. |

## Related models

- [Seedream 5.0 Pro Edit](https://doitong.com/developers/models/bytedance/seedream/v5/pro/edit.md) (`bytedance/seedream/v5/pro/edit`): from $0.0675 / run of output 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/bytedance/seedream/v5/pro/text-to-image
- 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=bytedance/seedream/v5/pro/text-to-image
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/bytedance/seedream/v5/pro/text-to-image