# Wan v2.6 Text to Video API

> Wan 2.6 text-to-video su 5, 10 arba 15 sekundžių klipais, penkiais kraštinių santykiais ir pasirenkamu foniniu garsu

Sukuria vaizdo įrašą iš iki 1500 simbolių raginio kinų arba anglų kalba, palaikydamas laiko žymomis aprašytus kelių kadrų aprašus. `aspect_ratio` siūlo 16:9, 9:16, 1:1, 4:3 ir 3:4, `resolution` yra 720p arba 1080p, o `duration` – 5, 10 arba 15 sekundžių. Pasirenkamas `audio_url` prideda foninę muziką. Raginio išplėtimas ir `multi_shots` įjungti pagal numatytuosius nustatymus.

- Model id: `wan/v2.6/text-to-video`
- Made by: Alibaba
- Category: Text to Video
- Output: video
- Price: from $0.10 / second (5 s ≈ $0.50) (cheapest run $0.50 (500 API credits))
- Run: `POST https://api.doitong.com/v1/run/wan/v2.6/text-to-video`
- Quote: `POST https://api.doitong.com/v1/quote/wan/v2.6/text-to-video`
- Docs page: https://doitong.com/lt/developers/models/wan/v2.6/text-to-video

## Pricing

Price: **from $0.10 / second (5 s ≈ $0.50)** (the lowest tier; the quote prices your exact input). Billed per second of output (`duration`, default 15).

Price rules (the first rule that matches the input wins; a parameter you leave out counts as its default):

- When `resolution` = 1080p: $0.15 (150 API credits) / second

The full example input below costs $0.75 = 750 API credits (5 s × 150 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/wan/v2.6/text-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 |  | ≥ 1 characters | Aprašykite generuojamą vaizdo įrašą iki 1500 simbolių kinų arba anglų kalba. Keliems kadrams tekstą struktūruokite taip: 'Overall description. First shot [0-3s] content. Second shot [3-5s] content.' |
| `audio_url` | `audio` | string (audio URL) \| null | no |  |  | Viešai pasiekiamo WAV arba MP3 failo, skirto foninei muzikai, URL; trukmė 3–30 s, dydis ne didesnis nei 15 MB. Pasirinkta vaizdo įrašo trukmė (5, 10 arba 15 sekundžių) apriboja atkūrimą iki pirmųjų N sekundžių, perteklinis garsas pašalinamas; garsui pasibaigus anksčiau, likusi vaizdo įrašo dalis tyli. Pavyzdžiui, 3 sekundžių garsas 5 sekundžių vaizdo įraše skambės pirmąsias 3 sekundes, o kitas 2 sekundes bus tyla. |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `16:9`, `9:16`, `1:1`, `4:3`, `3:4` | Vaizdo įrašo pločio ir aukščio nustatymas; Wan 2.6 siūlo platesnį santykių pasirinkimą. |
| `resolution` |  | enum (string) | no | `1080p` | `720p`, `1080p` | Pasirinkite vaizdo įrašo raiškos lygį. Wan 2.6 T2V galimi lygiai yra 720p ir 1080p; 480p nepalaikoma. |
| `duration` |  | enum (string) | no | `5` | `5`, `10`, `15` | Vaizdo įrašo trukmė iš galimų reikšmių: 5, 10 arba 15 sekundžių. |
| `negative_prompt` |  | string \| null | no | `` |  | Nepageidaujamą turinį nurodantis neigiamas raginys, iki 500 simbolių. |
| `enable_prompt_expansion` |  | boolean | no | `true` |  | LLM atliekamas raginio perrašymas, kai papildomas apdorojimo laikas skiriamas geresniems trumpų raginių rezultatams. |
| `multi_shots` |  | boolean | no | `true` |  | Kai true, išmanusis kelių kadrų segmentavimas sukuria nuoseklų pasakojimą; false sukuria vieną kadrą. Veikia tik tada, kai enable_prompt_expansion yra True. |
| `seed` |  | integer \| null | no |  |  | Generavimą atkurianti pradinė reikšmė. Nustačius None, ji parenkama atsitiktinai. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Saugos tikrinimo jungiklis, kurio išjungimo nustatymui reikia paskyros autorizacijos. Be šios autorizacijos tikrinama kiekviena užklausa, nepaisant nustatymo; true įjungia tikrintuvą. |

File parameters (`audio`) 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.com/v1/run/wan/v2.6/text-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.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/wan/v2.6/text-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.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",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/wan/v2.6/text-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.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": "wan/v2.6/text-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": "wan/v2.6/text-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": 750,
    "usd": "0.75",
    "charged": 750,
    "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,
      "width": 1024,
      "height": 768,
      "fps": 1.0,
      "duration": 5,
      "num_frames": 1
    },
    "seed": 42,
    "actual_prompt": "string"
  },
  "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.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `video` | object {url, content_type, file_name, file_size, width, height, fps, duration, num_frames} | Gautas vaizdo įrašo failas. |
| `seed` | integer | Generuojant naudojama pradinė reikšmė. |
| `actual_prompt` | string \| null | Perrašant naudojamas raginys. |

## Related models

- [Wan v2.6 Text to Image](https://doitong.com/developers/models/wan/v2.6/text-to-image.md) (`wan/v2.6/text-to-image`): $0.03 / image
- [Wan v2.6 Image to Image](https://doitong.com/developers/models/wan/v2.6/image-to-image.md) (`wan/v2.6/image-to-image`): $0.03 / image
- [Wan v2.6 Image to Video](https://doitong.com/developers/models/wan/v2.6/image-to-video.md) (`wan/v2.6/image-to-video`): from $0.10 / second
- [Alibaba V2.6 · Reference to Video · Flash](https://doitong.com/developers/models/wan/v2.6/reference-to-video/flash.md) (`wan/v2.6/reference-to-video/flash`): from $0.05 / second of output video
- [Wan v2.6 Reference to Video](https://doitong.com/developers/models/wan/v2.6/reference-to-video.md) (`wan/v2.6/reference-to-video`): from $0.10 / second
- [Wan 3.0 Text to Video](https://doitong.com/developers/models/alibaba/wan-3.0/text-to-video.md) (`alibaba/wan-3.0/text-to-video`): from $0.05 / second
- [FLUX 3 Max Text to Video](https://doitong.com/developers/models/blackforestlabs/flux-3-max/text-to-video.md) (`blackforestlabs/flux-3-max/text-to-video`): from $0.0425 / second of output video
- [Grok Imagine Video 1.5 Text to Video](https://doitong.com/developers/models/xai/grok-imagine-video/v1.5/text-to-video.md) (`xai/grok-imagine-video/v1.5/text-to-video`): from $0.08 / second

## Links

- HTML page: https://doitong.com/developers/models/wan/v2.6/text-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=wan/v2.6/text-to-video
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/wan/v2.6/text-to-video