# Krea 2 Trainer API

> Oahpaha iežas Krea 2 LoRA govaid zip-fiillas, eaktodáhtolaš automáhtalaš čátnemiiguin

Dárkilis heiveha LoRA:a .zip-fiillas, mas leat govvagovat `images_data_url`:s, eaktodáhtolaš seamma-nama .txt-govvateavsttaiguin ja `trigger_phrase`:in. `auto_captioning`-modusat leat Off, Object/Character, Style ja Custom. `steps` lea 50–10000 (standárda 100), `resolution` lea 768 dahje 1024. Boađusin leat LoRA-deattut ja konfigurašuvdnafiila.

- 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/se/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 hárjehallangovaid .zip-fiilii, mii sisttisdoallá PNG/JPG/JPEG/WebP-fiillaid; jearaldat filte koda 422, jos muhtun govas ii leat govvateakstafiila iige `trigger_phrase` mas lea sisdoallu. Govvateavsttat leat eaktodáhtolaččat go `trigger_phrase` addá sadjásaš teavstta, muđui geavahuvvojit vástideaddji fiilanammaalggut: ROOT.EXT gullá oktii ROOT.txt-fiillain, ovdamearkka dihtii 001.jpg ja 001.txt. |
| `trigger_phrase` |  | string | no | `` |  | DreamBooth-stiilla ovdamearkkacealkka, mii gáibiduvvo jos `auto_captioning` lea Off ja muhtun govas váilu govvateakstafiila. Dat addá govvateavsttaid gos .txt-fiillat váilot ja doaibmá standárda validirenbivddaid álgoteakstan. |
| `auto_captioning` |  | enum (string) | no | `Off` | `Off`, `Object/Character`, `Style`, `Custom` | Eaktodáhtolaš govvateakstamodus: Object/Character, Style ja Custom gohččot dataset-captioner google/gemma-4-31B-it bokte, muhto Off seailluha dálá gáibádusa ahte juohke govas galgá leat seamma vuođđonama .txt-govvateaksta dahje trigger_phrase várremolssaeaktun. Ráhkaduvvon govvateavsttaid várás trigger_phrase lasihuvvo govvateavstta bivdii ja normaliserejuvvo bohtosa mieldefiillain válljejuvvon LoRA-govvateakstakonvenšuvnna mielde. |
| `steps` |  | integer | no | `100` | 50 – 10,000 | LoRA-oahpahusa ceahkkiid lohku. |
| `learning_rate` |  | number | no | `0.0005` | 0.000001 – 0.01 | LoRA B-factor learning rate, also applied to A if `lora_a_lr_multiplier=1`; under muon, it represents the AdamW-equivalent rate scaled by match_rms_adamw. For a constant schedule, Krea recommends the range 3e-4–7e-4. |
| `resolution` |  | enum (integer) | no | `768` | `768`, `1024` | Hárjehallama resolušuvdna: 1024 deattuha vejolaš buoremus smávva bienaid, ja 768 fas addá sullii 1.7x johtileabbo hárjehallama, geavaha unnit VRAM ja seailluha measta seamma stiilakvalitehta. Govat skálerejuvvojit gokčat ulbmilnjealječiegaga ja das maŋŋá čuhppojuvvojit guovddážis. |
| `debug_dataset` |  | boolean | no | `false` |  | Diehtočoakkáldaga viežžanmolssaeaktu, mii čájeha dárkilit maid hárjehallan geavahii, čohkkejuvvon arkiivan maŋŋá go váili govvateavsttat leat lasihuvvon dahje govvateavsttat leat ráhkaduvvon automáhtalaččat. |

## 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} | Download URL for trained Krea-2 LoRA weights in safetensors format. |
| `config_file` | object {url, content_type, file_name, file_size} | Liŋka JSON-fiilii, mas lea hárjehallan-/LoRA-heivehus. |
| `prompt_enhancement_system_prompt` | string \| null | Vuogádatbivdda, mii máhcahuvvo go `auto_captioning` lea jođus, veahkkin čállit dahje buoridit inferensabivdagiid seamma govvateakstavuogi mielde go automáhtalaččat govvateavsttaiguin merkejuvvon hárjehallandáhtat. |
| `debug_dataset` | object {url, content_type, file_name, file_size} \| null | Training-data download provided when `debug_dataset` is enabled: an archive containing the prepared dataset and its automatically generated captions. |

## 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