# Krea 2 Trainer API

> Yn hyfforddi LoRA Krea 2 personol o zip o ddelweddau, gyda chapsiynau awtomatig dewisol

Yn mireinio LoRA ar .zip o ddelweddau yn `images_data_url`, gyda chapsiynau .txt dewisol o'r un enw a `trigger_phrase`. Y moddau `auto_captioning` yw Off, Object/Character, Style a Custom. Mae `steps` yn 50 i 10000 (diofyn 100), a `resolution` yn 768 neu 1024. Yn allbynnu pwysau LoRA a ffeil ffurfweddu.

- 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.com/v1/run/krea-2-trainer`
- Quote: `POST https://api.doitong.com/v1/quote/krea-2-trainer`
- Docs page: https://doitong.com/cy/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.com/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 ar gyfer .zip delweddau hyfforddi sy’n cynnwys ffeiliau PNG/JPG/JPEG/WebP; mae cais yn methu gyda 422 os nad oes gan unrhyw ddelwedd ffeil gapsiwn na `trigger_phrase` nad yw’n wag. Mae capsiynau’n ddewisol pan fo `trigger_phrase` yn darparu’r rhagosodiad, ac fel arall defnyddiwch goesynnau enwau ffeil cyfatebol: mae ROOT.EXT yn paru â ROOT.txt, er enghraifft 001.jpg â 001.txt. |
| `trigger_phrase` |  | string | no | `` |  | Ymadrodd enghraifft arddull DreamBooth sy’n ofynnol os yw `auto_captioning` yn Off a bod unrhyw ddelwedd heb ffeil gapsiwn. Mae’n darparu capsiynau lle mae ffeiliau .txt ar goll ac yn darparu’r testun cychwynnol ar gyfer anogiadau dilysu rhagosodedig. |
| `auto_captioning` |  | enum (string) | no | `Off` | `Off`, `Object/Character`, `Style`, `Custom` | Modd capsiynu dewisol: mae Object/Character, Style a Custom yn galw dataset-captioner gyda google/gemma-4-31B-it, tra bo Off yn cadw'r gofyniad presennol i bob delwedd gael capsiwn .txt gyda'r un stem neu ddefnyddio trigger_phrase fel wrthgefn. Ar gyfer capsiynau a gynhyrchir, mae trigger_phrase yn mynd i'r anogiad capsiynu ac yn cael ei normaleiddio yn y sidecars canlyniadol yn ôl y confensiwn capsiynu LoRA a ddewiswyd. |
| `steps` |  | integer | no | `100` | 50 – 10,000 | Cyfrif camau ar gyfer hyfforddi LoRA. |
| `learning_rate` |  | number | no | `0.0005` | 0.000001 – 0.01 | Cyfradd dysgu ffactor-B LoRA, a gymhwysir hefyd i A os yw `lora_a_lr_multiplier=1`; o dan muon, mae'n cynrychioli'r gyfradd gyfatebol i AdamW wedi'i graddio gan match_rms_adamw. Ar gyfer amserlen gyson, mae Krea yn argymell yr ystod 3e-4–7e-4. |
| `resolution` |  | enum (integer) | no | `768` | `768`, `1024` | Cydraniad hyfforddi, gyda 1024 yn ffafrio manylder mân mwyaf posibl a 768 yn cynnig hyfforddi tua 1.7x yn gyflymach, llai o ddefnydd VRAM, ac ansawdd arddull bron yn union yr un fath. Mae delweddau'n cael eu graddio i lenwi'r sgwâr targed, yna'u torri yn y canol. |
| `debug_dataset` |  | boolean | no | `false` |  | Opsiwn lawrlwytho'r set ddata sy'n datgelu'n union beth ddefnyddiodd yr hyfforddiant, wedi'i becynnu fel archif ar ôl llenwi capsiynau neu gynhyrchu capsiynau'n awtomatig. |

## 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.com/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.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/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.com/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.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": "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.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 lawrlwytho pwysau LoRA Krea-2 hyfforddedig ar ffurf safetensors. |
| `config_file` | object {url, content_type, file_name, file_size} | Dolen i ffeil JSON sy'n cynnwys ffurfweddiad hyfforddiant/LoRA. |
| `prompt_enhancement_system_prompt` | string \| null | Anogiad system a ddychwelir gyda `auto_captioning` wedi'i alluogi i helpu i ysgrifennu neu fireinio anogiadau casgliad gan ddefnyddio'r un confensiwn capsiynu â'r data hyfforddi a gapsiwyd yn awtomatig. |
| `debug_dataset` | object {url, content_type, file_name, file_size} \| null | Lawrlwythiad data hyfforddi a ddarperir pan fo `debug_dataset` wedi'i alluogi: archif sy'n cynnwys y set ddata barod a'i chapsiynau a gynhyrchwyd yn awtomatig. |

## 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.com/v1/models/krea-2-trainer