# MiniMax H3 Image to Video Audio LoRA Trainer API

> LoRA-þjálfari sem kennir mynd-í-myndband frá fyrsta ramma með hljóði úr myndbandsbútum

Þjálfar LoRA úr zip-skrá með myndbandsbútum í `training_data_url`, með skilyrðingu frá fyrsta ramma svo kyrrmynd geti orðið að hreyfimyndbandi. Gagnasafnið verður aðeins að innihalda myndbönd. Stillingar innihalda `rank` frá 8 til 128, `number_of_steps` allt að 15000, `number_of_frames` frá 22 til 124, `frame_rate` frá 8 til 60 og `trigger_phrase`. Skilar LoRA-vogum og stillingaskrá.

- Model id: `minimax/h3/i2v/trainer`
- Made by: MiniMax
- Category: Training
- Output: file
- Price: $0.01 / step (cheapest run $20.00 (20000 API credits))
- Run: `POST https://api.doitong.com/v1/run/minimax/h3/i2v/trainer`
- Quote: `POST https://api.doitong.com/v1/quote/minimax/h3/i2v/trainer`
- Docs page: https://doitong.com/is/developers/models/minimax/h3/i2v/trainer

## Pricing

Price: **$0.01 / step**. Billed per training step (`number_of_steps`).

The full example input below costs $20.00 = 20000 API credits (2000 steps × 10 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/minimax/h3/i2v/trainer` 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 |
|---|---|---|---|---|---|---|
| `training_data_url` |  | string | yes |  |  | Slóð að ZIP-skrá með þjálfunarmyndböndum á .mp4, .mov, .avi eða .mkv-sniði; mælt er með að minnsta kosti 10 bútnum og stærri söfn eru æskileg. Myndir geta ekki verið þjálfunarmiðill: gagnasöfnum eingöngu með myndum og söfnum sem blanda þjálfunarmyndum við myndbönd er hafnað, þó sumir endapunktar leyfi myndir sem hliðargögn fyrir skilyrðingu. Valfrjálsar textaskrár geta fylgt bútunum og hver textaskrá ber sama grunnnafn og myndbandið. |
| `rank` |  | enum (integer) | no | `32` | `8`, `16`, `32`, `64`, `128` | Aðlögunarstig LoRA, þar sem aukin minnisnotkun fæst gegn meiri getu eftir því sem stillingin hækkar. |
| `number_of_steps` |  | integer | no | `2000` | 1 – 15,000 | Heildarfjöldi þjálfunarskrefa. |
| `learning_rate` |  | number | no | `0.0002` | 0.000001 – 1 | Námshraði bestunar, sem vegur mögulegan hraðaauka í þjálfun á móti hættu á ofþjálfun þegar hann er hækkaður. |
| `number_of_frames` |  | integer | no | `73` | 22 – 124 | Rammafjöldi fyrir hvert þjálfunarsýni; deiling með 17 verður að gefa afganginn 5. Dæmi eru 22, 39, 56, 73, 90, 107 og 124. |
| `frame_rate` |  | integer | no | `24` | 8 – 60 | Markrammatíðni myndbands, mæld í römmum á sekúndu. |
| `resolution` |  | enum (string) | no | `medium` | `low`, `medium`, `high` | Þjálfunarupplausn. Hærri upplausn eykur minnisþörf. |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `21:9`, `16:9`, `4:3`, `1:1`, `3:4`, `9:16` | Veldu stærðarhlutfall þjálfunar úr sama mengi og er tiltækt í MiniMax H3 API. |
| `trigger_phrase` |  | string | no | `` |  | LoRA-stílvirkjunarsetning, sett fremst í texta við þjálfun. |
| `first_frame_conditioning_p` |  | number | no | `0.5` | 0 – 1 | Bættu frammistöðu myndar-í-myndbandi með því að auka tíðni þess að þjálfun noti skilyrðingu fyrsta ramma; þetta gildi stillir þær líkur. |
| `auto_scale_input` |  | boolean | no | `false` |  | Hvort mark-fps og rammafjöldi séu samræmd með sjálfvirkri myndbandsstærðun; true virkjar þessa aðlögun. |
| `split_input_into_scenes` |  | boolean | no | `true` |  | Senuskipting fyrir myndbönd sem fara yfir lengdarþröskuld, virk þegar gildið er true. |
| `split_input_duration_threshold` |  | number | no | `30` | 1 – 60 | Kveikja senuskiptingar gefin upp sem lengd í sekúndum: aðeins myndböndum sem eru lengri en þröskuldurinn er skipt. |
| `debug_dataset` |  | boolean | no | `false` |  | Skoðunarhamur forvinnslu til að yfirfara myndbönd, myndir og texta áður en full þjálfun keyrir. Þegar hann er virkur skilar þjálfarinn unnu þjálfunargagnasafni í skráasafni sem hægt er að hlaða niður til handvirkrar yfirferðar. |
| `strict_dataset` |  | boolean | no | `false` |  | Ströng meðhöndlun forvinnsluvandamála sem annars væru skráð og leyst með skjalfestum varaleiðum. Þegar þetta er virkt er hafnað textalýsingum sem þurfa tómar kvaðningar, vantar hliðarlyk рамma eða innihalda myndbönd með ólæsilegu hljóði í stað þess að setja inn tóma kvaðningu, ramma úr bút eða þögn. |

## Example input

Required parameters only:

```json
{
  "training_data_url": "https://example.com/your-file.zip"
}
```

A fuller example:

```json
{
  "training_data_url": "https://example.com/your-file.zip"
}
```

## 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/minimax/h3/i2v/trainer?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "training_data_url": "https://example.com/your-file.zip"
  }'

# 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/minimax/h3/i2v/trainer?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "training_data_url": "https://example.com/your-file.zip"
  }),
});
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 = {
    "training_data_url": "https://example.com/your-file.zip",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/minimax/h3/i2v/trainer", 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": "minimax/h3/i2v/trainer",
      "input": {
        "training_data_url": "https://example.com/your-file.zip"
      },
      "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/i2v/trainer",
  "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": 20000,
    "usd": "20.00",
    "charged": 20000,
    "refunded": 0
  },
  "input": {
    "training_data_url": "https://example.com/your-file.zip"
  },
  "output": {
    "lora_file": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_name": "0-output.jpeg",
      "file_size": 1843200
    },
    "config_file": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_name": "0-output.jpeg",
      "file_size": 1843200
    },
    "debug_dataset": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_name": "0-output.jpeg",
      "file_size": 1843200
    }
  },
  "outputs": [
    {
      "type": "file",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_size": 1843200,
      "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 |
|---|---|---|
| `lora_file` | object {url, content_type, file_name, file_size} | URL á þjálfaðar LoRA-vigtir á .safetensors-sniði. |
| `config_file` | object {url, content_type, file_name, file_size} | Uppsetning fyrir uppsetningu ályktunarendapunkts. |
| `debug_dataset` | object {url, content_type, file_name, file_size} \| null | Aðeins tiltækt fyrir beiðnir með `debug_dataset` virkt; þetta niðurhalanlega safn inniheldur þjálfunargögnin eftir forvinnslu. |

## Related models

- [MiniMax H3 First Last Frame LoRA Trainer](https://doitong.com/developers/models/minimax/h3/flf2v/trainer.md) (`minimax/h3/flf2v/trainer`): $0.01 / step
- [MiniMax H3 Reference to Video LoRA Trainer](https://doitong.com/developers/models/minimax/h3/ref2va/trainer.md) (`minimax/h3/ref2va/trainer`): $0.015 / step
- [MiniMax H3 Text to Video LoRA Trainer](https://doitong.com/developers/models/minimax/h3/t2v/trainer.md) (`minimax/h3/t2v/trainer`): $0.005 / step
- [ERNIE-Image Trainer](https://doitong.com/developers/models/ernie-image-trainer.md) (`ernie-image-trainer`): $0.0012 / step
- [FLUX 2 \[klein\] 9b Base Trainer](https://doitong.com/developers/models/flux-2-klein-9b-base-trainer.md) (`flux-2-klein-9b-base-trainer`): $0.0043 / step
- [Flux 2 Klein 9B Base Trainer](https://doitong.com/developers/models/flux-2-klein-9b-base-trainer/edit.md) (`flux-2-klein-9b-base-trainer/edit`): $0.0139 / step
- [FLUX 2 Trainer](https://doitong.com/developers/models/flux-2-trainer.md) (`flux-2-trainer`): $0.0064 / step
- [FLUX 2 Trainer Edit](https://doitong.com/developers/models/flux-2-trainer/edit.md) (`flux-2-trainer/edit`): $0.0389 / step

## Links

- HTML page: https://doitong.com/developers/models/minimax/h3/i2v/trainer
- 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/i2v/trainer
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/minimax/h3/i2v/trainer