# Bytedance Seedream V4 Edit API

> Op prompts gebaseerde bewerking van maximaal 10 invoerafbeeldingen, met uitvoer van meerdere afbeeldingen en snelle of standaard promptverbetering

Bewerkt bestaande afbeeldingen op basis van een tekstprompt. `image_urls` accepteert maximaal 10 afbeeldingen; bij meer worden alleen de laatste 10 gebruikt. Het uitvoerformaat kan een voorinstelling zijn zoals square_hd, portrait_16_9, auto_2K of auto_4K, of een aangepaste breedte en hoogte. Zowel `num_images` als `max_images` gaat tot 6 voor meerdere resultaten en `enhance_prompt_mode` wisselt tussen standaard en snel.

- Model id: `bytedance/seedream/v4/edit`
- Made by: ByteDance
- Category: Image Editing
- Output: image
- Price: $0.03 / image (cheapest run $0.03 (30 API credits))
- Run: `POST https://api.doitong.com/v1/run/bytedance/seedream/v4/edit`
- Quote: `POST https://api.doitong.com/v1/quote/bytedance/seedream/v4/edit`
- Docs page: https://doitong.com/nl/developers/models/bytedance/seedream/v4/edit

## Pricing

Price: **$0.03 / image**. Billed per generated image (`num_images` × `max_images`, default 1).

The full example input below costs $0.03 = 30 API credits (1 image × 30 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/bytedance/seedream/v4/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 |  |  | Tekstinstructies voor het bewerken van de afbeelding. |
| `image_size` |  | object {width, height} \| enum (string) | no | `{"height":2048,"width":2048}` | `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9`, `auto`, `auto_2K`, `auto_4K` | Kies de afmetingen van de gegenereerde afbeelding. Als deze een oppervlakte van minder dan 921600 pixels opleveren, worden ze proportioneel verhoogd om dat minimum te bereiken zonder de beeldverhouding te wijzigen. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 6 | Aantal onafhankelijke generatieruns van het model met de prompt. |
| `max_images` |  | integer | no | `1` | 1 – 6 | Stel de afbeeldingslimiet per generatie in met `max_images`; waarden boven één schakelen generatie van meerdere afbeeldingen in. Bij `num_images` generaties kan elke generatie maximaal `max_images` afbeeldingen retourneren, wat een totaal aantal uitvoerafbeeldingen van `num_images` tot `max_images*num_images` oplevert. Er mogen in totaal maximaal 15 afbeeldingen worden gebruikt voor invoer en uitvoer samen. |
| `seed` |  | integer \| null | no |  |  | Willekeurige seed die de willekeur tijdens afbeeldingsgeneratie bepaalt. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Schakelaar voor veiligheidscontrole waarvan de uitgeschakelde instelling accountautorisatie vereist. Zonder die autorisatie wordt elke request gecontroleerd, ongeacht de instelling; true schakelt de controle in. |
| `enhance_prompt_mode` |  | enum (string) | no | `standard` | `standard`, `fast` | Kies de promptverbeteringsmodus op basis van de afweging tussen kwaliteit en tijd: Fast kost minder tijd maar levert gemiddelde kwaliteit; Standard duurt langer maar levert hogere kwaliteit. |
| `image_urls` | `images` | array of image URL | yes |  |  | URL's van te bewerken afbeeldingen; bij een langere lijst worden de laatste 10 items verwerkt. De huidige invoerlimiet is 10 afbeeldingen. |

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": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "images": [
    "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  ]
}
```

A fuller example:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "image_urls": [
    "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  ]
}
```

## 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/v4/edit?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",
    "image_urls": [
      "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
    ]
  }'

# 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/v4/edit?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",
    "image_urls": [
      "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
    ]
  }),
});
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",
    "image_urls": [
        "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    ],
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/bytedance/seedream/v4/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/v4/edit",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
        "image_urls": [
          "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
        ]
      },
      "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/v4/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": 30,
    "usd": "0.03",
    "charged": 30,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image_urls": [
      "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
    ]
  },
  "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
      }
    ],
    "seed": 42
  },
  "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} | Afbeeldingen die door het model zijn geproduceerd. |
| `seed` | integer | Seedwaarde die tijdens de generatie wordt gebruikt. |

## Related models

- [Bytedance Seedream V4 Text To Image](https://doitong.com/developers/models/bytedance/seedream/v4/text-to-image.md) (`bytedance/seedream/v4/text-to-image`): $0.03 / image
- [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 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

## Links

- HTML page: https://doitong.com/developers/models/bytedance/seedream/v4/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/v4/edit
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/bytedance/seedream/v4/edit