# Wan-2.1 Image-to-Video API

> Wan 2.1 ᡩᠠᠪᡠᠨ ᠵᠠᠯᠠᠨ ᡳ ᡩᠠᠩᡤᠠᠨ ᠰᠠᠮᡝ ᠵᠠᠯᠠᠨ ᠪᡠᠴᡝᠩᡤᡝᠨᡳ ᠵᠠᠯᠠᠨ

ᡝᠮᡠ ᠣᠷᡳᠮᡝ ᠵᠠᠯᠠᠨ (`image_url`) ᠪᡝ `prompt` ᡳ ᠵᠠᠯᠠᠨ ᡩᡝ ᠠᠰᡥᠠᠨᠠᠮᠪᡳ᠉ ᠪᡠᠴᡝᠩᡤᡝᠨ 480p ᡳᠯᡳ 720p᠈ ᠪᠠᡳᡨᠠᠯᠠᠮᡝ ᠵᠠᠯᠠᠨ auto᠈ 16:9᠈ 9:16 ᡳᠯᡳ 1:1᠈ ᠠᠯᡳᠨ ᠠᠯᡳᠮᡝ ᠰᡠᠯᡠ ᠵᡠᠸᡝ ᡩᡝ ᠵᠠᠯᠠᠨ ᠵᡠᠸᡝ ᠠᠮᠪᠠ ᡶᡳᠯᠮᠪᡳ᠉ `num_frames` 81-100᠈ ᠮᡠᠰᡝ 5-24 ᠪᠠᡳᡨᠠᠯᠠᠮᠪᡳ᠉ `negative_prompt`᠈ `seed`᠈ `guide_scale`᠈ `shift` ᡳᠯᡳ `acceleration` ᠪᡝ ᠵᠠᠯᠠᠨ ᠵᡠᠯᡤᠠᠯᠠᠮᠪᡳ᠉

- Model id: `wan-i2v`
- Made by: Alibaba
- Category: Image to Video
- Output: video
- Price: from $0.20 / video (cheapest run $0.20 (200 API credits))
- Run: `POST https://api.doitong.com/v1/run/wan-i2v`
- Quote: `POST https://api.doitong.com/v1/quote/wan-i2v`
- Docs page: https://doitong.com/mnc/developers/models/wan-i2v

## Pricing

Price: **from $0.20 / video** (the lowest tier; the quote prices your exact input). Billed once per generated video.

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

- When `num_frames` > 81 and `resolution` = 720p: $0.50 (500 API credits) / video
- When `resolution` = 720p: $0.40 (400 API credits) / video
- When `num_frames` > 81: $0.25 (250 API credits) / video

The full example input below costs $0.40 = 400 API credits (1 video × 400 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-i2v` 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 |  |  | ᠰᡠᠨᡤᠠ ᠪᡠᠶᡝᠮᡝ ᡳ ᠵᠠᠯᠠᠨ ᡳ ᡥᡡᠯᠠᠨ᠉ |
| `negative_prompt` |  | string | no | `bright colors, overexposed, static, blurred details, subtitles, style, artwork, painting, picture, still, overall gray, worst quality, low quality, JPEG compression residue, ugly, incomplete, extra fingers, poorly drawn hands, poorly drawn faces, deformed, disfigured, malformed limbs, fused fingers, still picture, cluttered background, three legs, many people in the background, walking backwards` |  | ᠰᡠᠨᡤᠠ ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠵᠠᠯᠠᠮᡝ ᠮᡠᠰᡝ ᡥᡡᠯᠠᠨ᠉ |
| `image_url` | `image` | string (image URL) | yes |  |  | ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝ ᠠᠮᡤᠠᠨ ᡳ ᠵᡠᠰᡝ URL᠈ ᠰᠠᡳᠨ ᠵᡠᠰᡝ ᡳ ᠵᠠᠯᠠᠨ ᠮᡝᠨᡳ ᠵᡠᠰᡝ ᠠᠰᡠᡵᠠᠮᡝ ᠠᡴᡡ ᠪᡳᠴᡳ ᠵᡠᠰᡝᠨ ᠵᠠᠯᠠᠨ ᠪᠠ ᠵᡠᠰᡝ ᡳ ᡩᡠᠨ ᡩᡝ ᠵᡠᠰᡝ᠉ |
| `num_frames` |  | integer \| null | no | `81` | 81 – 100 | ᠪᡠᠶᡝᠮᡝ ᡳ ᡶᡳᠯᡝᠮᡝ ᡳᠨᡠᠮᠪᡳ᠂ 81 ᡩᡝᠴᡳ 100 ᡩᡝ ᠪᡳ᠉ |
| `frames_per_second` |  | integer \| null | no | `16` | 5 – 24 | ᠪᡠᠶᡝᠮᡝ ᠰᡠᠨᡤᠠ ᡳ ᡶᡳᠯᡝᠮᡝ ᡳ ᠵᠠᠰᡳᠨ ᠰᡝᡴᡠᠨ ᡩᡝ᠂ 5 ᡩᡝᠴᡳ 24 ᡩᡝ ᠪᡳ᠉ |
| `seed` |  | integer \| null | no |  |  | ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠰᠠᡳᠨ ᠪᡳᠰᡳᠮᡝ ᠪᠠᠨᠵᡳᠨᠠᠮᡝ᠉ None ᡩᡝ ᠪᡳᠮᡝ ᠪᠠᠨᠵᡳᠨ ᡤᠣᠯᠣᠮᡝ᠉ |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | ᠪᡠᠶᡝᠮᡝ ᠰᡠᠨᡤᠠ ᡳ ᠵᠠᠯᠠᠨ, 480p ᠠᠮᠠᠯᡤᠠ 720p᠉ |
| `num_inference_steps` |  | integer | no | `30` | 2 – 40 | ᠰᠠᠮᡝᠨᡳ ᠵᠠᡴᡠᠨᠨᡳ ᠵᠠᠯᠠᠨ, ᠮᡠᠯᡥᡝ ᠵᠠᠯᠠᠨᡩᠣᠮᡝᠨᡳ ᠵᡝᠪᡝᠯᡝ ᠵᡠᠯᡝᠮᡝ. |
| `guide_scale` |  | number | no | `5` | 1 – 10 | Classifier-free guidance ᡩᡝ ᠵᠠᠯᠠᠨ ᠵᡠᠯᡝᠮᡝ; ᠵᠠᠯᠠᠨ ᠣᠯᡥᠠ ᠣᠴᡳ ᡥᡡᠯᠠᠨ ᡩᡝ ᠵᡝᠯᡳᠨ ᠵᡠᠯᡝᠮᡝ. |
| `shift` |  | number | no | `5` | 1 – 10 | ᠰᡠᠨᡤᠠ ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠵᡠᠯᡝ shift᠉ |
| `enable_safety_checker` |  | boolean | no | `false` |  | ᠠᠮᡠᠯᠠᠨ ᡶᡳᠯᡝᠮᡝᠨᡳ ᠵᠠᠰᡳᠮᡝ. ᠪᡝ ᠣᠴᡳ ᠪᠠᠯᠠᠨᠰᡳᠨᡳ ᠪᠠᠨᠵᡳᠨ ᠠᠰᡠᠮᠪᡳ. ᡝᡵᡝ ᠪᠠᠨᠵᡳᠨ ᠠᡴᡡ ᠣᠴᡳ ᠵᠠᡴᡠᠨ ᡶᡝᠨᡩᡝ ᡤᡝᡪᡳᠯᡝᠨ ᠪᡝ ᠪᠠᠨᠵᡳᠮᡝ; true ᠪᡝ ᠵᠠᠰᡳᠮᡝ. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | ᡥᡡᠯᠠᠨ ᠪᡝ ᡩᡝᠯᡝᠪᡠᡵᡝ ᠪᡝ ᡝᠪᡠᡵᡝ ᡝᠪᡠᡵᠠᡴᡡ ᠪᡝ ᡠᠵᡳᠮᠪᡳ. |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular` | ᠵᠠᠰᡳᠮᡝ ᡳ ᠪᠠᠶᠠᠨ᠂ 'regular' ᠵᠠᠨ ᠵᡠᠯᡝ ᡳᠰᡳᠨᠠᠮᠪᡳ᠉ ᠵᠠᠰᡳᠮᡝ ᠵᡝᠯᡤᡳ ᠪᡠᠶᡝᠮᡝ ᡳ ᠵᠠᠯᠠᠨ ᡩᡝ ᠰᡠᠮᠪᡝ ᠰᠠᠮᡝᠮᠪᡳ᠉ |
| `aspect_ratio` |  | enum (string) | no | `auto` | `auto`, `16:9`, `9:16`, `1:1` | ᠪᡠᠶᡝᠮᡝ ᠰᡠᠨᡤᠠ ᡳ ᠵᠠᠯᠠᠨ ᡩᡝ auto ᠰᠣᠩᡤᠣᠮᠪᡳ. |

File parameters (`image`) 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",
  "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
```

A fuller example:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
```

## 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-i2v?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",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }'

# 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-i2v?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",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }),
});
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",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/wan-i2v", 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-i2v",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
        "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
      },
      "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-i2v",
  "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": 400,
    "usd": "0.40",
    "charged": 400,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  },
  "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.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} | ᠪᡠᠶᡝᠮᡝ ᠵᡠᠴᡝᠨ ᡳ ᡶᡳᠯᡝ᠉ |
| `seed` | integer | ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠶᠠᠪᡠᡥᠠᠨ ᠪᠠᠨᠵᡳᠨᠠᠮᡝ᠉ |

## Related models

- [Wan-2.1 Pro Text-to-Video](https://doitong.com/developers/models/wan-pro/text-to-video.md) (`wan-pro/text-to-video`): $0.80 / run
- [Wan-2.1 Text-to-Video](https://doitong.com/developers/models/wan-t2v.md) (`wan-t2v`): from $0.20 / video
- [Wan Effects](https://doitong.com/developers/models/wan-effects.md) (`wan-effects`): $0.35 / video
- [Wan-2.1 First-Last-Frame-to-Video](https://doitong.com/developers/models/wan-flf2v.md) (`wan-flf2v`): from $0.20 / video
- [Wan-2.1 Pro Image-to-Video](https://doitong.com/developers/models/wan-pro/image-to-video.md) (`wan-pro/image-to-video`): $0.80 / video
- [Wan 3.0 Image to Video](https://doitong.com/developers/models/alibaba/wan-3.0/image-to-video.md) (`alibaba/wan-3.0/image-to-video`): from $0.05 / second
- [FLUX 3 Max Image to Video](https://doitong.com/developers/models/blackforestlabs/flux-3-max/image-to-video.md) (`blackforestlabs/flux-3-max/image-to-video`): from $0.0425 / second of output video
- [Grok Imagine Video 1.5 Image to Video](https://doitong.com/developers/models/xai/grok-imagine-video/v1.5/image-to-video.md) (`xai/grok-imagine-video/v1.5/image-to-video`): from $0.082 / second

## Links

- HTML page: https://doitong.com/developers/models/wan-i2v
- 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-i2v
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/wan-i2v