# Kandinsky 6.0 Pro · Image to Video API

> အသံ၊ အနုတ်လက္ခဏာပရောမ့်နှင့် လမ်းညွှန်ထိန်းချုပ်မှုပါသည့် စတင်ဖရိမ်ပုံမှ ဗီဒီယိုကာတွန်းဖန်တီးမှု၊ Pro အဆင့်

`image_url` ကို ပထမဖရိမ်အဖြစ် လက်ခံပြီး လှုပ်ရှားမှုနှင့် အသံကို ဖော်ပြသည့် လိုအပ်သော `prompt` ကို အသုံးပြုသည်။ မူလ `auto` အချိုးအစားတွင် ပံ့ပိုးထားသော အနီးစပ်ဆုံးအချိုးအစားကို ရွေးချယ်ပြီး ပုံကို အလယ်ဗဟိုမှ ဖြတ်တောက်သည်။ `negative_prompt`၊ 1 မှ 10 အထိ `guidance_scale` နှင့် Denoising အဆင့် 50 အထိကို ပံ့ပိုးသည်။ ရွေးချယ်နိုင်သော ပရောမ့်ချဲ့ထွင်မှု၊ ထပ်တူပြုအသံနှင့် 2၊ 2.25 သို့မဟုတ် 4 အရည်အသွေးမြှင့်တင်မှုတို့ ရရှိနိုင်သည်။

- Model id: `kandinsky6-pro/image-to-video`
- Made by: Sber AI
- Category: Image to Video
- Output: video
- Price per run: from $0.252 / run (cheapest run $0.253 (253 API credits))
- Run: `POST https://api.doitong.ru/v1/run/kandinsky6-pro/image-to-video`
- Quote: `POST https://api.doitong.ru/v1/quote/kandinsky6-pro/image-to-video`
- Docs page: https://doitong.com/my/developers/models/kandinsky6-pro/image-to-video

## Pricing

Price: **from $0.252 / run** (the lowest tier; the quote prices your exact input). Price per run: 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.

Price by tier:

- base rate: $0.252 / run
- upscale 2-2.25x: $0.432 / run
- upscale 4x: $0.832 / run

The full example input below costs $1.401 = 1401 API credits (1 run × $1.40004).

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/kandinsky6-pro/image-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 |  |  | လိုချင်သော ဗီဒီယိုနှင့် တွဲဖက်အသံ၏ စာသားဖော်ပြချက်။ |
| `image_url` | `image` | string (image URL) | yes |  |  | ဗီဒီယို၏ အစဖရိမ်ကို ပေးသည့် ပုံ။ |
| `negative_prompt` |  | string \| null | no |  |  | မလိုလားအပ်သော ဗီဒီယိုအကြောင်းအရာကို သတ်မှတ်သည့် အနုတ်လက္ခဏာပရောမ့်၊ အစားထိုးမပေးပါက မော်ဒယ်၏ built-in ဗားရှင်းကို အသုံးပြုသည်။ |
| `aspect_ratio` |  | enum (string) \| string | no | `auto` | `16:9`, `9:16`, `1:1`, `4:3`, `3:4` | ဗီဒီယိုအချိုးအစား၊ `auto` ကို ရွေးပါက ရင်းမြစ်ပုံနှင့် အနီးစပ်ဆုံး ကိုက်ညီသော ပံ့ပိုးထားသည့်အချိုးသို့ အလယ်ဗဟိုဖြတ်တောက်မှုဖြင့် ချိန်ညှိသည်။ |
| `generate_audio` |  | boolean | no | `true` |  | ဗီဒီယိုနှင့် ထပ်တူပြုထားသော အသံလမ်းကြောင်း ဖန်တီးမှုကို ထိန်းချုပ်သည်။ |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | ဖန်တီးမှုမတိုင်မီ ပရောမ့်ချဲ့ထွင်ခြင်း၊ ဗီဒီယိုနှင့် အသံနှစ်မျိုးလုံးကို လွှမ်းခြုံသော အသေးစိတ်ဖော်ပြချက် ထုတ်လုပ်ရန် မော်ဒယ်၏ built-in Qwen2.5-VL စာသားကုဒ်ပြောင်းကိရိယာကို အသုံးပြုသည်။ |
| `upscale_factor` |  | enum (number) \| null | no |  | `2`, `2.25`, `4`, `` | ဗီဒီယို ချဲ့ထွင်မှုဆတိုးကိန်း- 2၊ 2.25 သို့မဟုတ် 4 ကို ရွေးပါ။ 2.25 သည် 480p ထွက်ရလဒ်ကို 1080p သို့ ချဲ့ပေးသည်။ ဆတိုးကိန်းကို သတ်မှတ်ပေးထားပါက Kandinsky 6 ၏ ဗီဒီယို ရုပ်ထွက်အရည်အသွေးမြှင့်တင်မှုဖြင့် အသုံးပြုသည်။ |
| `seed` |  | integer \| null | no |  |  | ဖန်တီးမှုအတွင်း အသုံးပြုသည့် ကျပန်း seed။ |
| `num_inference_steps` |  | integer | no | `50` | 8 – 50 | Noise ဖယ်ရှားသည့် အဆင့်အရေအတွက်။ |
| `guidance_scale` |  | number | no | `5` | 1 – 10 | Classifier-free guidance ၏ အားကောင်းမှု။ |
| `enable_safety_checker` |  | boolean | no | `true` |  | caller က ခွင့်ပြုချက်ရှိပါက false သတ်မှတ်ခြင်းဖြင့် စစ်ဆေးမှုကို လျှော့ချနိုင်သည်။ |

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.ru/v1/run/kandinsky6-pro/image-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",
    "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.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/kandinsky6-pro/image-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",
    "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.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",
    "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/kandinsky6-pro/image-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": "kandinsky6-pro/image-to-video",
      "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": "kandinsky6-pro/image-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": 1401,
    "usd": "1.401",
    "charged": 1401,
    "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.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} | တောင်းဆိုထားပါက အသံလမ်းကြောင်းပါဝင်သည့် ထွက်ရလဒ်ဗီဒီယို။ |
| `seed` | integer | ဖန်တီးမှုအတွင်း အသုံးပြုသည့် ကျပန်း seed။ |

## Related models

- [Kandinsky 6.0 Pro · Text to Video](https://doitong.com/developers/models/kandinsky6-pro/text-to-video.md) (`kandinsky6-pro/text-to-video`): from $0.244 / run
- [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
- [Kling 3.0 Pro Image to Video](https://doitong.com/developers/models/kling-video/v3/pro/image-to-video.md) (`kling-video/v3/pro/image-to-video`): from $0.112 / second
- [LTX 2.5 Pro Image to Video](https://doitong.com/developers/models/lightricks/ltx-2.5/image-to-video/pro.md) (`lightricks/ltx-2.5/image-to-video/pro`): from $0.12 / second
- [MiniMax H3 Image to Video](https://doitong.com/developers/models/minimax/h3/image-to-video.md) (`minimax/h3/image-to-video`): from $0.05 / 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

## Links

- HTML page: https://doitong.com/developers/models/kandinsky6-pro/image-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=kandinsky6-pro/image-to-video
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/kandinsky6-pro/image-to-video