# Wan v2.6 Text to Video API

> Wan 2.6 teksta pārvēršana video ar 5, 10 vai 15 sekunžu klipiem, piecām malu attiecībām un neobligātu fona audio

Izveido video no līdz 1500 rakstzīmēm garas uzvednes ķīniešu vai angļu valodā, atbalstot vairāku kadru aprakstus ar laika norādēm. `aspect_ratio` piedāvā 16:9, 9:16, 1:1, 4:3 un 3:4, `resolution` ir 720p vai 1080p, bet `duration` — 5, 10 vai 15 sekundes. Neobligāts `audio_url` pievieno fona mūziku. Uzvednes paplašināšana un `multi_shots` pēc noklusējuma ir ieslēgti.

- 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.ru/v1/run/wan/v2.6/text-to-video`
- Quote: `POST https://api.doitong.ru/v1/quote/wan/v2.6/text-to-video`
- Docs page: https://doitong.com/lv/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.ru/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 | Aprakstiet ģenerējamo video ar līdz 1500 rakstzīmēm ķīniešu vai angļu valodā. Vairākiem kadriem strukturējiet tekstu šādi: 'Overall description. First shot [0-3s] content. Second shot [3-5s] content.' |
| `audio_url` | `audio` | string (audio URL) \| null | no |  |  | Publiski pieejama WAV vai MP3 faila URL fona mūzikai; ilgums 3–30 s un izmērs ne lielāks par 15 MB. Izvēlētais video ilgums (5, 10 vai 15 sekundes) ierobežo atskaņošanu līdz pirmajām N sekundēm, lieko audio atmetot; ja audio beidzas agrāk, atlikušais video ir bez skaņas. Piemēram, 3 sekunžu audio un 5 sekunžu video gadījumā skaņa tiek atskaņota pirmās 3 sekundes, kam seko 2 sekundes klusuma. |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `16:9`, `9:16`, `1:1`, `4:3`, `3:4` | Video platuma un augstuma iestatījums; Wan 2.6 pieejama plašāka malu attiecību izvēle. |
| `resolution` |  | enum (string) | no | `1080p` | `720p`, `1080p` | Izvēlieties video izšķirtspējas līmeni. Wan 2.6 T2V pieejami 720p un 1080p; 480p netiek atbalstīts. |
| `duration` |  | enum (string) | no | `5` | `5`, `10`, `15` | Video ilgums no pieejamajām izvēlēm: 5, 10 vai 15 sekundes. |
| `negative_prompt` |  | string \| null | no | `` |  | Negatīva uzvedne, kurā norādīts nevēlamais saturs; ne vairāk kā 500 rakstzīmes. |
| `enable_prompt_expansion` |  | boolean | no | `true` |  | Uz LLM balstīta uzvednes pārrakstīšana, kas papildu apstrādes laiku maina pret labākiem rezultātiem īsām uzvednēm. |
| `multi_shots` |  | boolean | no | `true` |  | Ja true, inteliģenta vairāku kadru segmentēšana izveido saskanīgu video stāstījumu; false izveido vienu kadru. Tā darbojas tikai tad, ja enable_prompt_expansion ir True. |
| `seed` |  | integer \| null | no |  |  | Sēkla, kas padara ģenerēšanu atkārtojamu. Iestatot None, sēkla tiek izvēlēta nejauši. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Drošības pārbaudes slēdzis, kura izslēgšanai nepieciešama konta autorizācija. Bez šīs autorizācijas katrs pieprasījums tiek pārbaudīts neatkarīgi no iestatījuma; true iespējo pārbaudītāju. |

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.ru/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.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/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.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/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.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": "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.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, width, height, fps, duration, num_frames} | Iegūtais video fails. |
| `seed` | integer | Ģenerēšanas laikā izmantotā sēklas vērtība. |
| `actual_prompt` | string \| null | Uzvedne, kas faktiski tiek izmantota, kad pārrakstīšana ir iespējota. |

## 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.ru/v1/models/wan/v2.6/text-to-video