# Krea 2 Trainer API

> ᠵᡠᠯᡝᠨ ᡳ ᠵᠠᠯᠠᠨ ᠴᡳ ᠵᡠᠯᡝᠨ ᡳ ᠵᠠᠯᠠᠨ Krea 2 LoRA ᠵᠠᠯᠠᠨ ᠪᡳᠴᡳᠮᠪᡳ᠈ ᠠᠰᡠᡥᠠᠨ ᠠᠮᠠᠯᠠ ᠪᡳᠴᡳᠮᠪᡳ

`images_data_url` ᡳ .zip ᠵᡠᠯᡝ ᡤᠠᠳᠠᠨᡳ ᠪᡝ LoRA ᠵᠠᠰᡳᡬᠠᠮᡝ᠂ ᠠᡩᠠᠯᡳ ᠵᡠᠶᡝᠨᡳ .txt ᠣᠴᡳ `trigger_phrase` ᠪᡳ᠉ `auto_captioning` ᠵᡠᠯᡝ Off, Object/Character, Style ᠣᠴᡳ Custom᠉ `steps` 50 ᡩᡝᡵᡳ 10000 (ᠵᡠᠯᡝ 100)᠂ `resolution` 768 ᠣᠴᡳ 1024᠉ LoRA ᠰᡳᠨᡩᠠᠮᡝ ᠣᠴᡳ config ᡶᡳᠯᡝ ᠪᡠᠶᡝᠮᡝ᠉

- Model id: `krea-2-trainer`
- Made by: Krea
- Category: Training
- Output: file
- Price per run: from $0.30 / run (cheapest run $0.30 (300 API credits))
- Run: `POST https://api.doitong.ru/v1/run/krea-2-trainer`
- Quote: `POST https://api.doitong.ru/v1/quote/krea-2-trainer`
- Docs page: https://doitong.com/mnc/developers/models/krea-2-trainer

## Pricing

Price: **from $0.30 / 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.

The full example input below costs $0.30 = 300 API credits (1 run × $0.30).

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/krea-2-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 |
|---|---|---|---|---|---|---|
| `images_data_url` |  | string | yes |  |  | ᡤᠠᠳᠠᠨ ᡳ ᠪᡠᠶᡝᠮᡝᠨᡳ .zip URL, PNG/JPG/JPEG/WebP ᡶᡳᠯᡝ ᠪᡳᠮᡝ; ᡝᠮᡠᠨᡝ ᡤᠠᠳᠠᠨ ᡩᡝ ᠠᠯᡳᠨ ᡥᡡᠯᠠᠨ ᡳ ᡶᡳᠯᡝ ᠠᡳ ᠰᠠᠶᠠᠨ `trigger_phrase` ᠠᠴᠠᠨ ᠪᡳᠮᡝ 422 ᡤᡝᡪᡳᠯᡝ ᠣᠯᡥᠣᠨ. ᡤᠠᠯᠠ ᡩᡝ `trigger_phrase` ᠪᡳᠮᡝ ᡥᡡᠯᠠᠨ ᠵᡠᠯᡝ ᠣᠮᠪᡳ; ᡩᡝᡵᡤᡳ ROOT.EXT ᡳ ROOT.txt ᠵᡠᠯᡝ ᠪᡳᠮᡝ, 001.jpg ᡳ 001.txt ᠵᡝᡵᡤᡳ. |
| `trigger_phrase` |  | string | no | `` |  | `auto_captioning` ᠪᡳᠮᡝ Off ᠪᡳᠮᡝ, ᡩᡝᠪᡝᠯᡳ ᡤᠠᠳᠠᠨ ᡳ ᠠᠯᡳᠨ ᡩᠠᠯᠵᡳᠨ ᡥᡡᠯᠠᠨ ᡳ ᡶᡳᠯᡝ ᠠᠴᠠᠨ ᠪᡳᠮᡝ ᠣᠮᠪᡳ. .txt ᡶᡳᠯᡝ ᠠᠴᠠᠨ ᡩᡝ ᡥᡡᠯᠠᠨ ᠪᡠᠶᡝᠮᡝᠮᡝ, ᡠᠯᡥᡝᠨᡳ ᠵᡠᠯᡝ ᠵᠠᠯᠠᠨ ᡳ ᡥᡡᠯᠠᠨ ᠪᡳᠮᡝ ᠵᡠᠯᡝ ᠵᠠᡩᠠᠨ ᡳ ᠰᠠᠮᡝᠰᡳᠮᡝ ᠪᡳᠮᡝ. |
| `auto_captioning` |  | enum (string) | no | `Off` | `Off`, `Object/Character`, `Style`, `Custom` | ᠵᠠᠯᠠᠨ ᡥᡡᠯᠠᠨ ᠪᡠᠶᡝᠮᡝᠨᡳ ᡤᡝᠯᡳᠶᡝᠨ: Object/Character, Style ᠠᡴᡳ ᡤᡝᠮᡠᠨᡳ ᡩᡝ ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝ ᡶᠠᡳᠯᠠᠨᡳ ᡩᠠᠮᡠ ᡤᠠᡳᡶᠠᠨᡳ ᡥᡡᠯᠠᠨ ᠪᡠᠶᡝᠮᡝᠨᡳ ᠵᠠᠯᠠᠨ ᠵᠠᠯᡳᠨ ᠪᡠᠶᡝᠮᡝ, Off ᡠᠴᡳ ᡤᠠᡳᡶᠠᠨ ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝᠨᡳ ᡳᠨᡠ ᠵᠠᠯᠠᠨ ᡶᡳᠯᡝᠨᡳ ᠵᠠᠯᡳᠨ ᡶᡳᠯᡝᠮᡝ ᠵᠠᠯᠠᠨ ᡥᡡᠯᠠᠨ ᠪᡠᠮᡝᠨᡳ ᠪᠠᡳᡩᠠᠯᠠᠮᡝ ᡶᡳᠯᡝ ᠵᠠᠯᡳᠨ ᠪᡠᠶᡝᠮᡝ ᠵᠠᠯᠠᠨ ᡥᡡᠯᠠᠨ ᠪᡠᠮᡝᠨᡳ ᠵᠠᠯᡳᠨ ᡥᡡᠯᠠᠨ ᠪᡠᠶᡝᠮᡝ ᠵᠠᠯᠠᠨ ᡥᡡᠯᠠᠨ ᠪᡳᠴᡳᠪᡠᠮᡝ. ᠪᡠᠶᡝᠮᡝᠨᡳ ᡥᡡᠯᠠᠨ ᠪᡠᠶᡝᠮᡝᠨᡳ ᠵᠠᠯᠠᠨ ᡥᡡᠯᠠᠨ ᠵᠠᠯᠠᠨ ᡶᡳᠯᡝᠮᡝ ᠪᡠᠶᡝᠮᡝᠨᡳ ᡥᡡᠯᠠᠨᡳ ᠵᠠᠯᡳᠨ ᠵᠠᠯᠠᠨ ᠪᡠᠶᡝᠮᡝᠨᡳ ᠵᠠᠯᡳᠨ ᠯᠣᠷᠠ ᡥᡡᠯᠠᠨᡳ ᠵᠠᠯᡳᠨ ᠵᠠᠯᠠᠨ ᠪᡠᠶᡝᠮᡝᠨᡳ ᠵᠠᠯᡳᠨ ᠵᠠᠯᠠᠨ ᡥᡡᠯᠠᠨᡳ ᠵᠠᠯᡳᠨ ᠪᡠᠶᡝᠮᡝᠨᡳ ᠰᠠᠶᠠᠨ ᡶᡳᠯᡝᠮᡝ ᠪᡠᠶᡝᠮᡝᠨᡳ ᠵᠠᠯᡳᠨ ᠵᠠᠯᠠᠨ ᡥᡡᠯᠠᠨᡳ ᠵᠠᠯᡳᠨ ᡶᡳᠯᡝᠮᡝ ᠵᠠᠯᡳᠨ ᠪᡠᠶᡝᠮᡝᠨᡳ ᠵᠠᠯᡳᠨ ᠵᠠᠯᠠᠨ ᠪᡠᠶᡝᠮᡝᠨᡳ ᠵᠠᠯᡳᠨ ᡥᡡᠯᠠᠨ ᠵᠠᠯᡳᠨ ᠪᡠᠶᡝᠮᡝᠨᡳ ᠵᠠᠯᡳᠨ ᡩᠠᠮᡠ ᠪᡳᠴᡳᠪᡠᠮᡝ ᠪᡠᠶᡝᠮᡝᠨᡳ ᠵᠠᠯᡳᠨ ᡥᡡᠯᠠᠨ ᠪᡠᠮᡝ ᠵᠠᠯᠠᠨ ᠪᡠᠶᡝᠮᡝᠨᡳ ᡤᠠᡳᡶᠠᠨᡳ ᠵᠠᠯᡳᠨ ᡥᡡᠯᠠᠨᡳ ᠵᠠᠯᡳᠨ ᡥᡡᠯᠠᠨ ᠪᡠᠶᡝᠮᡝ ᠵᠠᠯᡳᠨ ᠪᡠᠶᡝᠮᡝᠨᡳ ᠵᠠᠯᡳᠨ. |
| `steps` |  | integer | no | `100` | 50 – 10,000 | LoRA ᠵᠠᠰᠠᠮᡝ ᠠᠮᠠ ᠪᡝ ᠵᠠᠯᠠᠨ ᠪᡳ᠉ |
| `learning_rate` |  | number | no | `0.0005` | 0.000001 – 0.01 | LoRA B-factor ᠮᡠᠶᡝᠮᡝᠨᡳ ᠵᠠᠯᡳᠨ ᠮᡠᠶᡝᠮᡝᠨᡳ ᠵᠠᠯᡳᠨ, `lora_a_lr_multiplier=1` ᠪᡳᠮᠪᡳ ᠠᠴᠠ A ᠵᠠᠯᡳᠨ ᠵᠠᠯᡳᠨ ᠪᡠᠶᡝᠮᡝ; muon ᡩᡝ AdamW ᡳ ᠵᠠᠯᡳᠨ ᡴᡝᠮᡠᠨᡳ ᠵᠠᠯᡳᠨ ᠮᡠᠶᡝᠮᡝᠨᡳ match_rms_adamw ᡳ ᠵᠠᠯᡳᠨ ᠪᡳ. ᠠᡳᠯᠠᠨ ᠵᠠᠯᡳᠨᡳ ᠪᡠᠶᡝᠮᡝᠨᡳ ᡤᠠᡳᡶᠠᠨ 3e-4–7e-4 ᠵᠠᠯᡳᠨ ᠪᡳᠴᡳᠮᡝ. |
| `resolution` |  | enum (integer) | no | `768` | `768`, `1024` | ᠮᡠᠶᡝᠮᡝᠨᡳ ᠵᠠᠯᡳᠨ ᠵᠠᠯᠠᠨ, 1024 ᡳ ᠮᠠᠩᡤᠠ ᠵᠠᠯᡳᠨ ᠪᡠᠶᡝᠮᡝ ᠵᠠᠯᡳᠨ ᠵᠠᠯᡳᠨ, 768 ᡳ ᠮᡠᠶᡝᠮᡝ 1.7x ᠵᠠᠯᡳᠨ ᠵᠠᠯᡳᠨ ᡥᡝᠴᡝᠨ ᠮᡠᠨᡩᡝ ᠪᡳᠮᠪᡳ, VRAM ᠪᡠᠶᡝᠮᡝ, ᠰᡳᠯᡝ ᠵᠠᠯᡳᠨ ᠵᠠᠯᡳᠨ. ᡤᠠᠳᠠᠨ ᠵᠠᠯᠠᠨ ᠵᠠᠯᡳᠨᡳ ᠪᡠᠶᡝᠮᡝ, ᡩᡠᠯᡝ ᠵᠠᠯᡳᠨ ᠵᠠᠯᡳᠨ ᠵᠠᠯᠠᠨ ᠪᡳᠴᡳᠮᡝ. |
| `debug_dataset` |  | boolean | no | `false` |  | ᡩᠠᠰᠠᠨ ᠵᠠᠯᡳᠨᡳ ᠵᠠᠯᡳᠨ ᡤᠠᠯᠠᠨ ᠵᠠᠯᡳᠨ ᠵᠠᠯᡳᠨ ᡶᡳᠯᡝᠮᡝ ᠪᡠᠶᡝᠮᡝᠨᡳ ᠵᠠᠯᡳᠨ ᠵᠠᠯᡳᠨ ᠵᠠᠯᡳᠨ. |

## Example input

Required parameters only:

```json
{
  "images_data_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
```

A fuller example:

```json
{
  "images_data_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/krea-2-trainer?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "images_data_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/krea-2-trainer?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "images_data_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 = {
    "images_data_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/krea-2-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.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": "krea-2-trainer",
      "input": {
        "images_data_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": "krea-2-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": 300,
    "usd": "0.30",
    "charged": 300,
    "refunded": 0
  },
  "input": {
    "images_data_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  },
  "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
    },
    "prompt_enhancement_system_prompt": "string",
    "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.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `lora_file` | object {url, content_type, file_name, file_size} | Krea-2 LoRA ᠮᠣᠳᡝᠯᡳ ᠮᡠᠶᡝᠮᡝᠨᡳ ᠵᠠᠯᡳᠨ safetensors ᡶᡳᠯᡝ ᠵᠠᠯᡳᠨ ᠵᠠᠯᡳᠨ ᠵᠠᠯᡳᠨ. |
| `config_file` | object {url, content_type, file_name, file_size} | ᠮᡠᠶᡝᠮᡝ/LoRA ᠵᠠᠯᡳᠨ ᠵᠠᠯᡳᠨ JSON ᡶᡳᠯᡝᠮᡝ ᠵᠠᠯᡳᠨ ᡥᡡᠯᠠᠨ. |
| `prompt_enhancement_system_prompt` | string \| null | `auto_captioning` ᠵᠠᠯᡳᠨ ᠪᡳᠴᡳᠮᡝ ᠪᡠᠶᡝᠮᡝᠨᡳ ᡥᡡᠯᠠᠨ ᠪᡠᠶᡝᠮᡝ ᠵᠠᠯᡳᠨ ᠵᠠᠯᡳᠨ ᡥᡡᠯᠠᠨ ᠪᡳᠴᡳᠪᡠᠮᡝ ᠵᠠᠯᡳᠨ. |
| `debug_dataset` | object {url, content_type, file_name, file_size} \| null | `debug_dataset` ᠵᠠᠯᡳᠨ ᠪᡳᠴᡳᠮᡝ ᠵᠠᠯᡳᠨ ᡶᡳᠯᡝ ᠵᠠᠯᡳᠨ ᠵᠠᠯᡳᠨ ᠪᡠᠶᡝᠮᡝᠨᡳ ᡤᠠᠳᠠᠨ ᠪᡠᠶᡝᠮᡝ ᠵᠠᠯᡳᠨ ᡥᡡᠯᠠᠨ. |

## Related models

- [Krea 2 Text to Image Turbo LoRA](https://doitong.com/developers/models/krea-2/turbo/lora.md) (`krea-2/turbo/lora`): $0.01 / megapixel
- [Krea 2 Turbo](https://doitong.com/developers/models/krea-2/turbo.md) (`krea-2/turbo`): $0.008 / megapixel
- [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
- [FLUX 2 Trainer V2](https://doitong.com/developers/models/flux-2-trainer-v2.md) (`flux-2-trainer-v2`): $0.0064 / step

## Links

- HTML page: https://doitong.com/developers/models/krea-2-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=krea-2-trainer
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/krea-2-trainer