# Seedream 5.0 Pro Edit API

> Επεξεργασία πολλαπλών εικόνων με το Seedream 5.0 Pro, συνδυάζοντας έως δέκα εικόνες αναφοράς σε μία εικόνα 2K.

Δώστε στο Seedream 5.0 Pro έως δέκα εικόνες αναφοράς (προϊόντα, λογότυπα, άτομα, τοποθεσίες) και περιγράψτε πώς να τις συνδυάσει ή να τις αλλάξει· διατηρεί με ακρίβεια τα υλικά και τα γράμματα. Η έξοδος είναι μεταξύ 1 και 4 megapixel, έως έξι εικόνες ανά αίτημα.

- 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.com/el/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 |  |  | Οδηγίες κειμένου για την επεξεργασία της εικόνας. |
| `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` | Διαστάσεις εικόνας εξόδου, με απαιτούμενο συνολικό πλήθος pixel εντός 1024x1024–2048x2048 και αναλογία διαστάσεων εντός 1/16–16. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 6 | Πλήθος ανεξάρτητων εκτελέσεων παραγωγής του μοντέλου με το prompt. |
| `output_format` |  | enum (string) | no | `jpeg` | `jpeg`, `png` | Μορφή αρχείου της εικόνας εξόδου. |
| `enhance_prompt_mode` |  | enum (string) | no | `standard` | `standard`, `fast` | Ρύθμιση βελτιστοποίησης prompt: επιλέξτε `standard` για προτεραιότητα στην ποιότητα της εικόνας ή `fast` για μικρότερο χρόνο παραγωγής. |
| `image_urls` | `images` | array of image URL | yes |  |  | URL εικόνων αναφοράς, με την επεξεργασία να περιορίζεται στις τελευταίες 10 καταχωρίσεις όταν η υποβαλλόμενη λίστα υπερβαίνει το υποστηριζόμενο μέγιστο των 10 εικόνων. |

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} | Εικόνες που παράγονται από την παραγωγή. |

## 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