# Seedream 5.0 Pro Edit API

> Многоизображенческое редактирование в Seedream 5.0 Pro: объединение до десяти референсов в одно изображение 2K.

Передайте Seedream 5.0 Pro до десяти референсных изображений (товары, логотипы, люди, места) и опишите, как их объединить или изменить; модель сохраняет материалы и надписи без искажений. Выходной размер — от 1 до 4 мегапикселей, до шести изображений за запрос.

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

## 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 $0.14 = 140 API credits (1 run × $0.1395).

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/bytedance/seedream/v5/pro/edit` 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 |  |  | Текстовые инструкции для редактирования изображения. |
| `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` | Размеры выходного изображения: общее количество пикселей должно находиться в пределах 1024x1024–2048x2048, а соотношение сторон — в пределах 1/16–16. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 6 | Количество независимых запусков генерации модели с использованием промпта. |
| `output_format` |  | enum (string) | no | `jpeg` | `jpeg`, `png` | Формат файла выходного изображения. |
| `enhance_prompt_mode` |  | enum (string) | no | `standard` | `standard`, `fast` | Настройка оптимизации промпта: выберите `standard` для приоритета качества изображения или `fast` для сокращения времени генерации. |
| `image_urls` | `images` | array of image URL | yes |  |  | URL эталонных изображений; если переданный список превышает поддерживаемый максимум в 10 изображений, обрабатываются только последние 10 записей. |

File parameters (`images`) take a public `https://` URL, a `data:` URI up to 10 MB, or the `file_url` of an upload from `POST /files`.

## Example input

Required parameters only:

```json
{
  "prompt": "Place the sneaker from image 1 on the desk of the office from image 2, natural lighting",
  "images": [
    "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg",
    "https://content.doitong.com/images/gp/image_20260610003801_541d9719_316882.png"
  ]
}
```

A fuller example:

```json
{
  "prompt": "Place the sneaker from image 1 on the desk of the office from image 2, natural lighting",
  "images": [
    "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg",
    "https://content.doitong.com/images/gp/image_20260610003801_541d9719_316882.png"
  ]
}
```

## 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/bytedance/seedream/v5/pro/edit?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Place the sneaker from image 1 on the desk of the office from image 2, natural lighting",
    "images": [
      "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg",
      "https://content.doitong.com/images/gp/image_20260610003801_541d9719_316882.png"
    ]
  }'

# 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/bytedance/seedream/v5/pro/edit?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "Place the sneaker from image 1 on the desk of the office from image 2, natural lighting",
    "images": [
      "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg",
      "https://content.doitong.com/images/gp/image_20260610003801_541d9719_316882.png"
    ]
  }),
});
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": "Place the sneaker from image 1 on the desk of the office from image 2, natural lighting",
    "images": [
        "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg",
        "https://content.doitong.com/images/gp/image_20260610003801_541d9719_316882.png",
    ],
}

# 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/edit", 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": "bytedance/seedream/v5/pro/edit",
      "input": {
        "prompt": "Place the sneaker from image 1 on the desk of the office from image 2, natural lighting",
        "images": [
          "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg",
          "https://content.doitong.com/images/gp/image_20260610003801_541d9719_316882.png"
        ]
      },
      "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/edit",
  "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": 140,
    "usd": "0.14",
    "charged": 140,
    "refunded": 0
  },
  "input": {
    "prompt": "Place the sneaker from image 1 on the desk of the office from image 2, natural lighting",
    "images": [
      "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg",
      "https://content.doitong.com/images/gp/image_20260610003801_541d9719_316882.png"
    ]
  },
  "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.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, content_type, file_name, file_size, width, height} | Изображения, созданные в результате генерации. |

## Related models

- [Seedream 5.0 Pro Text to Image](https://doitong.com/developers/models/bytedance/seedream/v5/pro/text-to-image.md) (`bytedance/seedream/v5/pro/text-to-image`): from $0.0675 / run of output image
- [FLUX.1 Kontext \[pro\]](https://doitong.com/developers/models/flux-pro/kontext.md) (`flux-pro/kontext`): $0.04 / image
- [GPT Image 2.5 Edit](https://doitong.com/developers/models/openai/gpt-image-2.5/flare/edit.md) (`openai/gpt-image-2.5/flare/edit`): from $0.12 / image
- [Nano Banana 2 Edit](https://doitong.com/developers/models/nano-banana-2/edit.md) (`nano-banana-2/edit`): from $0.06 / image
- [Nano Banana Pro Edit](https://doitong.com/developers/models/nano-banana-pro/edit.md) (`nano-banana-pro/edit`): from $0.15 / image
- [Qwen Image 3 Edit](https://doitong.com/developers/models/alibaba/qwen-image-3/edit.md) (`alibaba/qwen-image-3/edit`): from $0.04 / image
- [Bagel · Edit](https://doitong.com/developers/models/bagel/edit.md) (`bagel/edit`): $0.10 / image
- [Bytedance Seedream V4 Edit](https://doitong.com/developers/models/bytedance/seedream/v4/edit.md) (`bytedance/seedream/v4/edit`): $0.03 / image

## Links

- HTML page: https://doitong.com/developers/models/bytedance/seedream/v5/pro/edit
- 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/edit
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/bytedance/seedream/v5/pro/edit