# MiniMax H3 Image to Video LoRA API

> Анимирует неподвижное изображение как первый кадр с 1–3 адаптерами LoRA для согласованности объекта и необязательным конечным кадром

Превращает неподвижное изображение в видеоклип со звуком, используя от одного до трёх адаптеров LoRA для сохранения согласованности обученного объекта или стиля. Передайте `image_url` как начальный кадр и при необходимости `end_image_url` как конечный. Длительность — от 5 до 15 секунд, `resolution` — 480P, 768P, 2K или 4K; 2K и 4K масштабируются из основы 768P. Аудиоклип можно передать через `target_audio_url`.

- Model id: `minimax/h3/image-to-video/lora`
- Made by: MiniMax
- Category: Image to Video
- Output: video
- Price: from $0.0625 / second (5 s ≈ $0.313) (cheapest run $0.313 (313 API credits))
- Run: `POST https://api.doitong.ru/v1/run/minimax/h3/image-to-video/lora`
- Quote: `POST https://api.doitong.ru/v1/quote/minimax/h3/image-to-video/lora`
- Docs page: https://doitong.com/developers/models/minimax/h3/image-to-video/lora

## Pricing

Price: **from $0.0625 / second (5 s ≈ $0.313)** (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` = 768P: $0.075 (75 API credits) / second
- When `resolution` = 2K: $0.1625 (162.5 API credits) / second
- When `resolution` = 4K: $0.20 (200 API credits) / second

The full example input below costs $0.813 = 813 API credits (5 s × 162.5 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/minimax/h3/image-to-video/lora` 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 – 50000 characters | Text instructions for generating the video. |
| `duration` |  | integer | no | `5` | 5 – 15 | Video length, measured in seconds. |
| `resolution` |  | enum (string) | no | `2K` | `480P`, `768P`, `2K`, `4K` | Choose the generated video's resolution, with 2K and 4K obtained by upscaling a 768P base. Choosing 480P or 768P instead uses native generation. |
| `seed` |  | integer \| null | no |  |  | Seed for random generation; if omitted, one is chosen randomly. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Safety checker activation; true enables checking. |
| `prompt_expansion_mode` |  | string \| null | no | `balanced` |  | Prompt-rewriting effort before generation: choose 'quality' for a richer prompt taking up to approximately 30 seconds, or 'fast' for a result in about a second. With 'balanced', the choice is made per request; 'disabled' turns expansion off. |
| `target_audio_url` |  | string (audio URL) \| null | no |  | ≥ 1 characters | Optional replacement soundtrack supplied through an HTTP(S) URL or base64 data URI; the clip must last at least 2 seconds and be no larger than 15 MB. The supplied audio replaces the generated soundtrack at unchanged playback speed: excess duration is removed from the end, and shorter clips receive silence padding to match the video. Resampling to 96 kHz may occur for unusually high sample rates. |
| `image_url` | `image` | string (image URL) \| null | no |  |  | Optional image URL defining the opening frame and output canvas. If end_image_url alone is supplied, its closing frame determines the canvas instead. Without either image, generation uses text-to-video with a default aspect ratio of 16:9. |
| `end_image_url` | `end_image` | string (image URL) \| null | no |  |  | Optional last-frame image URL, usable even without a starting image. In that end-only keyframe mode, this image determines the output canvas. |
| `loras` |  | array of object {path, weight_name, scale} | yes |  | 1 – 3 items | LoRA adapter list for application to the transformer. |
| `loras[].path` |  | string | yes |  |  | Location of the LoRA weights, given as a URL or a HuggingFace repository ID in owner/repo form. |
| `loras[].weight_name` |  | string \| null | no |  |  | Specify the LoRA weight filename only to select among multiple LoRAs in a HuggingFace repository identified by `path`. |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | LoRA influence strength, ranging from 0.0 to 4.0. |

File parameters (`target_audio_url`, `image`, `end_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",
  "loras": [
    {
      "path": "https://example.com/your-file.safetensors"
    }
  ]
}
```

A fuller example:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "loras": [
    {
      "path": "https://example.com/your-file.safetensors"
    }
  ]
}
```

## 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/minimax/h3/image-to-video/lora?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",
    "loras": [
      {
        "path": "https://example.com/your-file.safetensors"
      }
    ]
  }'

# 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/minimax/h3/image-to-video/lora?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",
    "loras": [
      {
        "path": "https://example.com/your-file.safetensors"
      }
    ]
  }),
});
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",
    "loras": [
        {
            "path": "https://example.com/your-file.safetensors",
        },
    ],
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/minimax/h3/image-to-video/lora", 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": "minimax/h3/image-to-video/lora",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
        "loras": [
          {
            "path": "https://example.com/your-file.safetensors"
          }
        ]
      },
      "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": "minimax/h3/image-to-video/lora",
  "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": 813,
    "usd": "0.813",
    "charged": 813,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "loras": [
      {
        "path": "https://example.com/your-file.safetensors"
      }
    ]
  },
  "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
    },
    "expanded_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} | Video produced by the model. |
| `expanded_prompt` | string \| null | Model-ready expanded prompt, or null if no expanded text is available. The null cases are disabled expansion, expansion that made no change, and expansion handled internally by the model's hosted API. |

## Related models

- [MiniMax H3 Text to Video LoRA](https://doitong.com/developers/models/minimax/h3/text-to-video/lora.md) (`minimax/h3/text-to-video/lora`): from $0.0625 / second
- [MiniMax H3 Reference to Video LoRA](https://doitong.com/developers/models/minimax/h3/reference-to-video/lora.md) (`minimax/h3/reference-to-video/lora`): from $0.0625 / 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
- [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
- [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

## Links

- HTML page: https://doitong.com/developers/models/minimax/h3/image-to-video/lora
- 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=minimax/h3/image-to-video/lora
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/minimax/h3/image-to-video/lora