# MiniMax H3 Text to Video LoRA API

> تحويل النص إلى فيديو مع تطبيق 1 إلى 3 محولات LoRA مدرّبة، بست نسب أبعاد ومقاطع من 5 إلى 15 ثانية

ينشئ فيديو مع الصوت من مطالبة نصية تصل إلى 50,000 حرف، مع تطبيق محول أو ثلاثة محولات LoRA تقدمها عبر `loras`. اختر `aspect_ratio` من 21:9 أو 16:9 أو 4:3 أو 1:1 أو 3:4 أو 9:16، واضبط `duration` بين 5 و15 ثانية. تتراوح `resolution` من 480P إلى 4K، مع رفع 2K و4K من أساس 768P. يمكنك أيضًا تقديم `target_audio_url` لتعيين المسار الصوتي.

- Model id: `minimax/h3/text-to-video/lora`
- Made by: MiniMax
- Category: Text 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/text-to-video/lora`
- Quote: `POST https://api.doitong.ru/v1/quote/minimax/h3/text-to-video/lora`
- Docs page: https://doitong.com/ar/developers/models/minimax/h3/text-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/text-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

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `prompt` |  | string | yes |  | 1 – 50000 characters | تعليمات نصية لتوليد الفيديو. |
| `duration` |  | integer | no | `5` | 5 – 15 | مدة الفيديو، مقاسة بالثواني. |
| `resolution` |  | enum (string) | no | `2K` | `480P`, `768P`, `2K`, `4K` | اختر دقة الفيديو المولد، حيث يتم الحصول على 2K و4K برفع دقة قاعدة 768P. يؤدي اختيار 480P أو 768P بدلًا من ذلك إلى استخدام التوليد الأصلي. |
| `seed` |  | integer \| null | no |  |  | بذرة التوليد العشوائي؛ إذا لم تُحدَّد، تُختار عشوائيًا. |
| `enable_safety_checker` |  | boolean | no | `true` |  | تنشيط مدقق السلامة؛ تُمكّن true الفحص. |
| `prompt_expansion_mode` |  | string \| null | no | `balanced` |  | مستوى الجهد لإعادة صياغة الموجّه قبل التوليد: اختر 'quality' للحصول على موجّه أغنى يستغرق إعداده ما يصل إلى نحو 30 ثانية، أو 'fast' للحصول على نتيجة في نحو ثانية. عند اختيار 'balanced'، يُحدَّد الخيار لكل طلب؛ أما 'disabled' فيعطّل توسيع الموجّه. |
| `target_audio_url` |  | string (audio URL) \| null | no |  | ≥ 1 characters | مسار صوتي بديل اختياري يُقدَّم عبر عنوان URL ببروتوكول HTTP(S) أو معرّف URI لبيانات base64؛ يجب ألا تقل مدة المقطع عن 2 ثانية وألا يتجاوز حجمه 15 MB. يحل الصوت المقدَّم محل المسار الصوتي المولَّد دون تغيير سرعة التشغيل: تُحذف المدة الزائدة من النهاية، وتُستكمل المقاطع الأقصر بصمت لتطابق مدة الفيديو. قد تُعاد معاينة الصوت إلى 96 kHz إذا كان معدل أخذ العينات مرتفعًا على نحو غير معتاد. |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `21:9`, `16:9`, `4:3`, `1:1`, `3:4`, `9:16` | نسبة أبعاد فيديو المخرج. |
| `loras` |  | array of object {path, weight_name, scale} | yes |  | 1 – 3 items | قائمة محولات LoRA لتطبيقها على المحوّل. |
| `loras[].path` |  | string | yes |  |  | موضع أوزان LoRA، مقدّمًا كعنوان URL أو معرّف مستودع HuggingFace بصيغة owner/repo. |
| `loras[].weight_name` |  | string \| null | no |  |  | حدّد اسم ملف وزن LoRA فقط للاختيار من بين عدة LoRA في مستودع HuggingFace المحدد بواسطة `path`. |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | قوة تأثير LoRA، من 0.0 إلى 4.0. |

File parameters (`target_audio_url`) 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/text-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/text-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/text-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/text-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/text-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} | الفيديو الذي أنشأه النموذج. |
| `expanded_prompt` | string \| null | موجّه موسّع جاهز للنموذج، أو null إذا لم يتوفر نص موسّع. تشمل حالات null إلغاء التوسيع، والتوسيع الذي لم يغيّر شيئًا، والتوسيع الذي عالجه نموذج عبر API المستضاف الخاص به. |

## Related models

- [MiniMax H3 Image to Video LoRA](https://doitong.com/developers/models/minimax/h3/image-to-video/lora.md) (`minimax/h3/image-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 Text to Video](https://doitong.com/developers/models/minimax/h3/text-to-video.md) (`minimax/h3/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
- [Seedance 2.0 Fast Text to Video](https://doitong.com/developers/models/bytedance/seedance-2.0/fast/text-to-video.md) (`bytedance/seedance-2.0/fast/text-to-video`): from $0.113 / second

## Links

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