# Seedance 2.0 Mini API

> Mini Seedance 2.0-videogenerering styret af op til 9 billeder, 3 videoer og 3 lydreferencer

Genererer video fra en prompt samt referencemedier: op til 9 `image_urls`, 3 `video_urls` og 3 `audio_urls`, nævnt i prompten som @Image1, @Video1, @Audio1 osv. Output er 480p eller 720p, auto eller 4 til 15 sekunder, med billedformater fra 21:9 til 9:16. Synkroniseret lyd genereres som standard.

- Model id: `bytedance/seedance-2.0/mini/reference-to-video`
- Made by: ByteDance
- Category: Reference to Video
- Output: video
- Price per 1000 tokens: $0.007 / 1000 tokens (cheapest run $0.007 (7 API credits))
- Run: `POST https://api.doitong.ru/v1/run/bytedance/seedance-2.0/mini/reference-to-video`
- Quote: `POST https://api.doitong.ru/v1/quote/bytedance/seedance-2.0/mini/reference-to-video`
- Docs page: https://doitong.com/da/developers/models/bytedance/seedance-2.0/mini/reference-to-video

## Pricing

Price: **$0.007 / 1000 tokens**. Price per 1000 tokens: 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 $2.321 = 2321 API credits (331.5586 × 1000 tokens × $0.007 (720p)).

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/seedance-2.0/mini/reference-to-video` 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 |  |  | Tekstprompt, der styrer videogenerering. |
| `image_urls` | `images` | array of image URL | no |  | ≤ 9 items | Billedreferencer til videogenerering, begrænset til 9 billeder og højst 12 filer på tværs af alle modaliteter. Hvert billede må højst være 30 MB og skal være JPEG, PNG eller WebP. Brug @Image1, @Image2 og efterfølgende nummererede etiketter til at identificere referencerne i prompten. |
| `video_urls` | `videos` | array of video URL | no |  | ≤ 3 items | Videoreferencer til generering, angivet som MP4- eller MOV-filer og identificeret i prompten med @Video1, @Video2 og efterfølgende nummererede etiketter. Hver skal have en opløsning fra cirka 480p (640x640) til cirka 720p (834x1112). Sættet er begrænset til 3 videoer på i alt under 50 MB med en samlet varighed fra 2 til 15 sekunder. |
| `audio_urls` | `audios` | array of audio URL | no |  | ≤ 3 items | Lydreferencer til videogenerering kræver mindst én ledsagende billed- eller videoreference. Angiv MP3- eller WAV-filer på højst 15 MB hver, højst 3 filer og en samlet varighed på højst 15 sekunder. Identificér dem i prompten med @Audio1, @Audio2 og efterfølgende nummererede etiketter. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | Outputopløsning: 480p prioriterer genereringshastighed, mens 720p giver et afbalanceret valg. |
| `duration` |  | enum (string) | no | `auto` | `auto`, `4`, `5`, `6`, `7`, `8`, `9`, `10`, `11`, `12`, `13`, `14`, `15` | Valg af videolængde: `auto` overlader valget til modellen ved hjælp af prompten, mens en eksplicit varighed skal være fra 4 til 15 sekunder. |
| `aspect_ratio` |  | enum (string) | no | `auto` | `auto`, `21:9`, `16:9`, `4:3`, `1:1`, `3:4`, `9:16` | Outputformatforhold: 16:9 giver landskab, 9:16 giver portræt/vertikal, 1:1 giver kvadratisk, og 21:9 giver filmisk ultrabredt format. Vælg `auto`, så modellen vælger forholdet. |
| `generate_audio` |  | boolean | no | `true` |  | Aktivér dette for at ledsage videoen med synkroniseret lyd. Den genererede lyd indeholder tale tilpasset læbebevægelser, miljøstemning og lydeffekter. |
| `codec` |  | enum (string) | no | `auto` | `auto`, `H264`, `H265` | Valg af videocodec: `auto` lader standardcodecens adfærd være uændret, `H264` vælger H.264, og `H265` vælger H.265. |
| `end_user_id` |  | string \| null | no |  |  | Entydig identifikator tildelt slutbrugeren. |

File parameters (`images`, `videos`, `audios`) 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"
}
```

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.ru/v1/run/bytedance/seedance-2.0/mini/reference-to-video?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.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/seedance-2.0/mini/reference-to-video?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.ru/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/bytedance/seedance-2.0/mini/reference-to-video", 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/seedance-2.0/mini/reference-to-video",
      "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": "bytedance/seedance-2.0/mini/reference-to-video",
  "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": 2321,
    "usd": "2.321",
    "charged": 2321,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  },
  "output": {
    "video": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
      "content_type": "video/mp4",
      "file_name": "0-output.mp4",
      "file_size": 1843200
    },
    "seed": 42
  },
  "outputs": [
    {
      "type": "video",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
      "content_type": "video/mp4",
      "file_size": 1843200,
      "width": 1280,
      "height": 720,
      "duration": 5,
      "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 |
|---|---|---|
| `video` | object {url, content_type, file_name, file_size} | Videofil produceret ved generering. |
| `seed` | integer | Seed-værdi anvendt under generering. |

## Related models

- [Seedance 2.0 Fast Text to Video](https://doitong.com/developers/models/bytedance/seedance-2.0/fast/text-to-video.md) (`bytedance/seedance-2.0/fast/text-to-video`): from $0.113 / second
- [Seedance 2.0 Mini Text to Video](https://doitong.com/developers/models/bytedance/seedance-2.0/mini/text-to-video.md) (`bytedance/seedance-2.0/mini/text-to-video`): from $0.0721 / second
- [Seedance 2.0 Text to Video](https://doitong.com/developers/models/bytedance/seedance-2.0/text-to-video.md) (`bytedance/seedance-2.0/text-to-video`): from $0.141 / second
- [Seedance 2.0 Fast Image to Video](https://doitong.com/developers/models/bytedance/seedance-2.0/fast/image-to-video.md) (`bytedance/seedance-2.0/fast/image-to-video`): from $0.113 / second
- [Seedance 2.0 Image to Video](https://doitong.com/developers/models/bytedance/seedance-2.0/image-to-video.md) (`bytedance/seedance-2.0/image-to-video`): from $0.141 / second
- [Seedance 2.0 Mini Image to Video](https://doitong.com/developers/models/bytedance/seedance-2.0/mini/image-to-video.md) (`bytedance/seedance-2.0/mini/image-to-video`): from $0.0721 / second
- [Seedance 2.0 Fast Reference to Video](https://doitong.com/developers/models/bytedance/seedance-2.0/fast/reference-to-video.md) (`bytedance/seedance-2.0/fast/reference-to-video`): from $0.113 / second
- [Seedance 2.0 Reference to Video](https://doitong.com/developers/models/bytedance/seedance-2.0/reference-to-video.md) (`bytedance/seedance-2.0/reference-to-video`): from $0.141 / second

## Links

- HTML page: https://doitong.com/developers/models/bytedance/seedance-2.0/mini/reference-to-video
- 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/seedance-2.0/mini/reference-to-video
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/bytedance/seedance-2.0/mini/reference-to-video