# MiniMax H3 Image to Video LoRA API

> 将静态图像作为首帧生成动画，支持 1 到 3 个 LoRA 适配器以保持主体一致性，并可选末帧

使用 1 到 3 个 LoRA 适配器将静态图像转换为带声音的视频片段，以保持训练主体或风格的一致性。将 `image_url` 作为开头帧，并可选提供 `end_image_url` 作为结尾帧。时长为 5 到 15 秒，`resolution` 可为 480P、768P、2K 或 4K，其中 2K 和 4K 会将 768P 基础结果放大。可通过 `target_audio_url` 提供音频片段。

- 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/zh/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 | 用于生成视频的文本指令。 |
| `duration` |  | integer | no | `5` | 5 – 15 | 视频长度，以秒为单位。 |
| `resolution` |  | enum (string) | no | `2K` | `480P`, `768P`, `2K`, `4K` | 选择生成视频的分辨率，其中 2K 和 4K 通过放大 768P 基础分辨率获得。选择 480P 或 768P 则使用原生生成。 |
| `seed` |  | integer \| null | no |  |  | 随机生成的种子；省略时会随机选择。 |
| `enable_safety_checker` |  | boolean | no | `true` |  | 安全检查器激活状态；true 启用检查。 |
| `prompt_expansion_mode` |  | string \| null | no | `balanced` |  | 生成前的提示词改写强度：选择 'quality' 以生成更丰富的提示词，耗时最长约 30 秒；选择 'fast' 可在约一秒内返回结果。使用 'balanced' 时按请求决定；'disabled' 会关闭扩展。 |
| `target_audio_url` |  | string (audio URL) \| null | no |  | ≥ 1 characters | 可选的替换音轨，可通过 HTTP(S) URL 或 base64 数据 URI 提供；音频时长必须至少为 2 秒，且不超过 15 MB。提供的音频会以不变的播放速度替换生成的音轨：多出的时长会从末尾移除，较短的音频会填充静音以匹配视频。对于异常高的采样率，可能会重采样至 96 kHz。 |
| `image_url` | `image` | string (image URL) \| null | no |  |  | 可选的图像 URL，用于定义开头帧和输出画布。如果只提供 end_image_url，则由其结尾帧决定画布。两者都未提供时，生成将使用文本生成视频，默认宽高比为 16:9。 |
| `end_image_url` | `end_image` | string (image URL) \| null | no |  |  | 可选的末帧图像 URL，即使没有起始图像也可使用。在仅提供末帧的关键帧模式下，此图像决定输出画布。 |
| `loras` |  | array of object {path, weight_name, scale} | yes |  | 1 – 3 items | 应用于 transformer 的 LoRA 适配器列表。 |
| `loras[].path` |  | string | yes |  |  | LoRA 权重的位置，以 URL 或 owner/repo 格式的 HuggingFace 仓库 ID 提供。 |
| `loras[].weight_name` |  | string \| null | no |  |  | 仅当需要在由 `path` 标识的 HuggingFace 仓库中从多个 LoRA 之间进行选择时，才指定 LoRA 权重文件名。 |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | LoRA 影响强度，范围为 0.0 至 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} | 模型生成的视频。 |
| `expanded_prompt` | string \| null | 供模型使用的扩展提示词；如果没有可用的扩展文本，则为 null。以下情况会返回 null：禁用扩展、扩展未产生变化，以及扩展由模型托管的 API 内部处理。 |

## 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