# Krea 2 Trainer API

> טרעינירט אַ קאַסטאַם Krea 2 LoRA פֿון אַ בילדער־zip, מיט אָפּציאָנאַלער אַוטאָ־קאַפּשאַנירונג

פֿײַנ־טונירט אַ LoRA אויף אַ .zip פֿון בילדער אין `images_data_url`, מיט אָפּציאָנאַלע .txt קאַפּשאַנז מיטן זעלבן נאָמען און אַ `trigger_phrase`. `auto_captioning` מאָדעס זענען Off, Object/Character, Style און Custom. `steps` איז 50 ביז 10000 (פֿעליק 100), `resolution` איז 768 אָדער 1024. גיט אַרויס LoRA ווייץ און אַ קאָנפֿיגוראַציע־טעקע.

- 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/yi/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 |  |  | URL פֿאַר אַ טרענירונג־בילד־.zip מיט PNG/JPG/JPEG/WebP פֿײַלן; אַ בקשה פֿאַלט דורך מיט 422 אויב אַ בילד האָט ניט קיין קעפּל־פֿײַל און ניט קיין נישט־ליידיקן `trigger_phrase`. קעפּלעך זענען אָפּציאָנאַל ווען `trigger_phrase` גיט דעם פֿאַרבײַ־אויס; אַנדערש נוצן גלײַכע פֿײַלנאָמען־שטאַמען: ROOT.EXT פּאַסט צו ROOT.txt, למשל 001.jpg צו 001.txt. |
| `trigger_phrase` |  | string | no | `` |  | DreamBooth־נוסח־אינסטאַנץ־פֿראַזע, נייטיק ווען `auto_captioning` איז Off און אַן בילד פֿעלט אַ קעפּל־פֿײַל. זי גיט קעפּלעך וווּ .txt פֿײַלן פֿעלן און גיט דעם אָנהייב־טעקסט פֿאַר סטאַנדאַרט־וואַלידאַציע־פּראָמפּטן. |
| `auto_captioning` |  | enum (string) | no | `Off` | `Off`, `Object/Character`, `Style`, `Custom` | אָפּציאָנאַלע קעפּל־מאָדע: Object/Character, Style און Custom רופֿן dataset-captioner מיט google/gemma-4-31B-it, בעת Off האַלט די עקזיסטירנדיקע פאָדערונג אַז יעדער בילד זאָל האָבן אַ .txt קעפּל מיטן זעלבן באַזע־נאָמען, אָדער trigger_phrase ווי אָפּהילף. בײַ גענערירטע קעפּלעך קומט trigger_phrase אַרײַן אין דעם קעפּל־פּראָמפּט און ווערט נאָרמאַליזירט אין די רעזולטירנדיקע sidecars לויט דער אויסגעקליבענער LoRA־קעפּל־קאָנווענציע. |
| `steps` |  | integer | no | `100` | 50 – 10,000 | טריט־צאָל פֿאַר LoRA טריינינג. |
| `learning_rate` |  | number | no | `0.0005` | 0.000001 – 0.01 | לערנראַטע פֿאַר LoRA B-factor, אויך געווענדט צו A ווען `lora_a_lr_multiplier=1`; אונטער muon רעפּרעזענטירט עס די AdamW־עקוויוואַלענטע ראַטע, געסקיילט מיט match_rms_adamw. פֿאַר אַ קאָנסטאַנטן פּלאַן רעקאָמענדירט Krea דעם קייט 3e-4–7e-4. |
| `resolution` |  | enum (integer) | no | `768` | `768`, `1024` | טרעינירונג־רעזאָלוציע: 1024 גיט בילכערקייַט צו מאַקסימום פֿײַנעם דעטאַל, און 768 אָפפערט בערך 1.7x שנעלערע טרעינירונג, ווייניקער VRAM־באַניץ און כּמעט דער זעלבער סטיל־קוואַליטעט. בילדער ווערן געסקיילט צו דעקן דעם ציל־קוואַדראט און דערנאָך צענטראַל געקראַפּט. |
| `debug_dataset` |  | boolean | no | `false` |  | אָפּציע פֿאַר dataset־דאַונלאָוד, וואָס ווײַזט גענוי וואָס די טרעינירונג האָט גענוצט, פּאַקירט ווי אַן אַרכיוו נאָך קעפּל־אויפֿפֿילונג אָדער אויטאָמאַטישער קעפּל־גענערירונג. |

## 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} | דאַונלאָוד־URL פֿאַר טרעינירטע Krea-2 LoRA־ווייץ אין safetensors־פֿאָרמאַט. |
| `config_file` | object {url, content_type, file_name, file_size} | לינק צו אַ JSON־פֿײַַל מיט דער טרעינירונג/LoRA־קאָנפֿיגוראַציע. |
| `prompt_enhancement_system_prompt` | string \| null | סיסטעם־פּראָמפּט וואָס ווערט צוריקגעגעבן מיט `auto_captioning`, צו העלפֿן שרײַבן אָדער פֿאַרבעסערן inference־פּראָמפּטן מיט דער זעלבער קעפּל־קאָנווענציע ווי די אויטאָמאַטיש קעפּלטע טרעינירונג־דאַטן. |
| `debug_dataset` | object {url, content_type, file_name, file_size} \| null | דאַונלאָוד פֿון טרעינירונג־דאַטן ווען `debug_dataset` איז אַקטיוו: אַן אַרכיוו מיטן צוגעגרייטן dataset און זײַנע אויטאָמאַטיש גענערירטע קעפּלעך. |

## 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