# Wan 2.5 Text to Video API

> Génération texte-vidéo avec Wan 2.5, sortie de 480p à 1080p, pendant 5 ou 10 secondes, avec piste audio facultative

Crée une vidéo à partir d’une `prompt` textuelle de 1500 caractères maximum, en chinois ou en anglais. Le rapport hauteur-largeur peut être 16:9, 9:16 ou 1:1, la résolution 480p, 720p ou 1080p, et `duration` 5 ou 10 secondes. Un `audio_url` facultatif définit la musique de fond, tronquée à la durée du clip. Prend en charge l’expansion d’invite, `negative_prompt` et `seed`.

- Model id: `wan-25-preview/text-to-video`
- Made by: Alibaba
- Category: Text to Video
- Output: video
- Price: from $0.05 / second (5 s ≈ $0.25) (cheapest run $0.25 (250 API credits))
- Run: `POST https://api.doitong.ru/v1/run/wan-25-preview/text-to-video`
- Quote: `POST https://api.doitong.ru/v1/quote/wan-25-preview/text-to-video`
- Docs page: https://doitong.com/fr-CA/developers/models/wan-25-preview/text-to-video

## Pricing

Price: **from $0.05 / second (5 s ≈ $0.25)** (the lowest tier; the quote prices your exact input). Billed per second of output (`duration`, default 10).

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

- When `resolution` = 720p: $0.10 (100 API credits) / second
- 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-25-preview/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 | Instructions de génération vidéo, limitées à 1500 caractères et rédigées en chinois ou en anglais. |
| `audio_url` | `audio` | string (audio URL) \| null | no |  |  | Musique d’arrière-plan fournie par une URL audio accessible publiquement, au format WAV ou MP3, d’une durée de 3 à 30 s et d’une taille maximale de 15 MB. La durée sélectionnée de 5 ou 10 secondes détermine la coupure : l’audio excédentaire est supprimé, tandis qu’une piste plus courte laisse le reste de la vidéo silencieux. Par exemple, un audio de 3 secondes avec une vidéo de 5 secondes produit du son pendant les 3 premières secondes et du silence pendant les 2 dernières secondes. |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `16:9`, `9:16`, `1:1` | Rapport largeur/hauteur de la vidéo de sortie. |
| `resolution` |  | enum (string) | no | `1080p` | `480p`, `720p`, `1080p` | Niveau de résolution de la vidéo. |
| `duration` |  | enum (string) | no | `5` | `5`, `10` | Durée de sortie de la vidéo, sélectionnable comme 5 ou 10 secondes. |
| `negative_prompt` |  | string \| null | no |  |  | Invite négative précisant le contenu indésirable, limitée à 500 caractères. |
| `enable_prompt_expansion` |  | boolean | no | `true` |  | Réécriture de l’invite fondée sur un LLM, qui échange un temps de traitement supplémentaire contre de meilleurs résultats avec les invites courtes. |
| `seed` |  | integer \| null | no |  |  | Graine qui rend la génération reproductible. La définir sur None sélectionne une graine aléatoirement. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Commutateur de vérification de sécurité dont la désactivation exige l’autorisation du compte. Sans cette autorisation, chaque requête est vérifiée quel que soit le réglage; true active le vérificateur. |

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-25-preview/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-25-preview/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-25-preview/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-25-preview/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-25-preview/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": "The white dragon warrior stands still in a grand cathedral-like structure, its glowing golden eyes fixed forward. The camera slowly moves closer, focusing on the warrior's armored chest and face. It then begins to circle around the warrior, capturing the intricate details of the white scale armor with gold accents. The warrior maintains a strong, determined posture. Ambient sounds and soft choral tones fill the background, enhancing the majestic atmosphere. The camera continues its slow circular motion, emphasizing the warrior's heroic presence before ending with a close-up of the face."
  },
  "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} | Fichier vidéo résultant. |
| `seed` | integer | Valeur de la graine utilisée pendant la génération. |
| `actual_prompt` | string \| null | Invite effectivement utilisée lorsque la réécriture est activée. |

## Related models

- [Wan 2.5 Text to Image](https://doitong.com/developers/models/wan-25-preview/text-to-image.md) (`wan-25-preview/text-to-image`): $0.05 / image
- [Wan 2.5 Image to Image](https://doitong.com/developers/models/wan-25-preview/image-to-image.md) (`wan-25-preview/image-to-image`): $0.05 / image
- [Wan 2.5 Image to Video](https://doitong.com/developers/models/wan-25-preview/image-to-video.md) (`wan-25-preview/image-to-video`): from $0.05 / 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
- [Kling 3.0 Pro Text to Video](https://doitong.com/developers/models/kling-video/v3/pro/text-to-video.md) (`kling-video/v3/pro/text-to-video`): from $0.112 / second
- [LTX 2.5 Pro Text to Video](https://doitong.com/developers/models/lightricks/ltx-2.5/text-to-video/pro.md) (`lightricks/ltx-2.5/text-to-video/pro`): from $0.12 / second

## Links

- HTML page: https://doitong.com/developers/models/wan-25-preview/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-25-preview/text-to-video
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/wan-25-preview/text-to-video