# Seedance 2.0 Mini API

> Mini Seedance 2.0-videogenerering styrt av opptil 9 bilder, 3 videoer og 3 lydreferanser

Genererer video fra en prompt pluss referansemedier: opptil 9 `image_urls`, 3 `video_urls` og 3 `audio_urls`, omtalt i prompten som @Image1, @Video1, @Audio1 og så videre. Utdata er 480p eller 720p, auto eller 4 til 15 sekunder, med størrelsesforhold fra 21:9 til 9:16. Synkronisert 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/no/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 som styrer videogenereringen. |
| `image_urls` | `images` | array of image URL | no |  | ≤ 9 items | Bildereferanser for videoveiledning, begrenset til 9 bilder og underlagt en grense på 12 filer på tvers av alle modaliteter. Hvert bilde kan være på maksimalt 30 MB og må bruke JPEG, PNG eller WebP. Bruk @Image1, @Image2 og påfølgende nummererte etiketter for å identifisere referansene i prompten. |
| `video_urls` | `videos` | array of video URL | no |  | ≤ 3 items | Videoreferanser for generering, levert som MP4- eller MOV-filer og identifisert i prompten med @Video1, @Video2 og påfølgende nummererte etiketter. Hver video må ha en oppløsning fra omtrent 480p (640x640) til omtrent 720p (834x1112). Settet er begrenset til 3 videoer på til sammen under 50 MB, med en samlet varighet fra 2 til 15 sekunder. |
| `audio_urls` | `audios` | array of audio URL | no |  | ≤ 3 items | Lydreferanser for videoveiledning krever minst én medfølgende bilde- eller videoreferanse. Oppgi MP3- eller WAV-filer på maksimalt 15 MB hver, med høyst 3 filer og en samlet varighet på maksimalt 15 sekunder. Identifiser dem i prompten med @Audio1, @Audio2 og påfølgende nummererte etiketter. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | Utdataoppløsning: 480p prioriterer genereringshastighet, mens 720p gir et balansert valg. |
| `duration` |  | enum (string) | no | `auto` | `auto`, `4`, `5`, `6`, `7`, `8`, `9`, `10`, `11`, `12`, `13`, `14`, `15` | Valg av videolengde: `auto` overlater valget til modellen basert på prompten, mens en eksplisitt varighet må 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` | Utdataens størrelsesforhold: 16:9 gir liggende format, 9:16 gir stående/vertikalt format, 1:1 gir kvadratisk format, og 21:9 gir kinolignende ultrabredt format. Velg `auto` for at modellen skal velge forholdet. |
| `generate_audio` |  | boolean | no | `true` |  | Aktiver dette for å få videoen levert med synkronisert lyd. Generert lyd inkluderer tale tilpasset leppebevegelser, omgivelseslyd og lydeffekter. |
| `codec` |  | enum (string) | no | `auto` | `auto`, `H264`, `H265` | Valg av videokodek: `auto` lar standardoppførselen for kodeken være uendret, `H264` velger H.264, og `H265` velger H.265. |
| `end_user_id` |  | string \| null | no |  |  | Unik identifikator tildelt sluttbrukeren. |

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 produsert av genereringen. |
| `seed` | integer | Seed-verdi brukt under genereringen. |

## 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