# Krea 2 Medium API

> 창의성 수준, 8개 화면 비율, 선택적 스타일 참조, 사전 설정 및 무드보드를 지원하는 텍스트-투-이미지

최대 5000자의 텍스트 프롬프트에서 이미지를 생성합니다. `aspect_ratio`는 1:1부터 2.35:1 및 9:16까지 8개 옵션을 제공합니다. `creativity`는 raw부터 high까지이며 결과가 프롬프트를 얼마나 따를지 제어합니다. 최대 10개의 `image_style_references`, 최대 10개의 사전 설정 `styles` 또는 하나의 무드보드로 스타일을 안내하고 `seed`로 결과를 재현할 수 있습니다.

- Model id: `krea/v2/medium/text-to-image`
- Made by: Krea
- Category: Text to Image
- Output: image
- Price: from $0.03 / request (cheapest run $0.03 (30 API credits))
- Run: `POST https://api.doitong.com/v1/run/krea/v2/medium/text-to-image`
- Quote: `POST https://api.doitong.com/v1/quote/krea/v2/medium/text-to-image`
- Docs page: https://doitong.com/ko/developers/models/krea/v2/medium/text-to-image

## Pricing

Price: **from $0.03 / request** (the lowest tier; the quote prices your exact input). Billed once per request.

Price rules (the first rule that matches the input wins; a parameter you leave out counts as its default):

- When `image_style_references` is set: $0.035 (35 API credits) / request

The full example input below costs $0.03 = 30 API credits (1 request × 30 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/krea/v2/medium/text-to-image` 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 |
|---|---|---|---|---|---|---|
| `prompt` |  | string | yes |  | 1 – 5000 characters | 원하는 이미지 콘텐츠를 지정하는 텍스트입니다. |
| `aspect_ratio` |  | enum (string) | no | `1:1` | `1:1`, `4:3`, `3:2`, `16:9`, `2.35:1`, `4:5`, `2:3`, `9:16` | 출력 이미지의 가로세로 비율입니다. |
| `creativity` |  | enum (string) | no | `medium` | `raw`, `low`, `medium`, `high` | 프롬프트 해석의 유연성입니다. 낮은 설정에서는 더 충실하게 따르고, 높은 설정에서는 창의성과 프롬프트에서 벗어날 가능성이 커집니다. |
| `seed` |  | integer \| null | no |  |  | 생성 결과를 재현할 수 있게 하는 무작위 시드입니다. |
| `image_style_references` |  | array of object {image_url, strength} | no | `[]` | ≤ 10 items | 최대 10개의 참조 이미지로 생성 이미지의 스타일을 지정합니다. 이 목록은 선택 사항입니다. |
| `image_style_references[].image_url` |  | string (image URL) | yes |  |  | 공개적으로 접근할 수 있는 참조 이미지 URL입니다. |
| `image_style_references[].strength` |  | number | no | `1` | -2 – 2 | 참조 이미지가 생성 이미지에 미치는 영향을 설정합니다. 음수 값을 사용하면 결과가 해당 참조에서 멀어지도록 유도합니다. |
| `styles` |  | array of object {id, strength} | no | `[]` | ≤ 10 items | 적용할 선택적 LoRA 기반 Krea 스타일 프리셋입니다. 최대 10개까지 지정할 수 있습니다. 각 항목은 Krea 스타일 카탈로그의 `id`로 스타일을 식별합니다. |
| `styles[].id` |  | string | yes |  |  | Krea 스타일 카탈로그의 식별자로 스타일을 선택합니다. 선택한 프리셋은 LoRA 기반입니다. |
| `styles[].strength` |  | number | no | `1` | -2 – 2 | 스타일이 생성 이미지에 미치는 영향을 설정합니다. 음수 값을 사용하면 결과가 해당 스타일에서 멀어지도록 유도합니다. |
| `moodboards` |  | array of object {id, strength} | no | `[]` | ≤ 1 items | 항목의 UUID `id`로 선택하는 선택적 생성 무드보드입니다. 현재 요청당 무드보드는 하나로 제한됩니다. |
| `moodboards[].id` |  | string | yes |  |  | Krea 무드보드를 식별하는 UUID입니다. |
| `moodboards[].strength` |  | number | no | `0.23` | 0 – 1 | 무드보드가 이미지 생성에 미치는 영향의 강도입니다. |
| `enable_safety_checker` |  | boolean | no | `true` |  | 호출자에게 권한이 있으면 false로 설정해 검사를 완화할 수 있습니다. |

## Example input

Required parameters only:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

A fuller example:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

## 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/v2/medium/text-to-image?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }'

# 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/v2/medium/text-to-image?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }),
});
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 = {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/krea/v2/medium/text-to-image", 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/v2/medium/text-to-image",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
      },
      "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/v2/medium/text-to-image",
  "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": 30,
    "usd": "0.03",
    "charged": 30,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  },
  "output": {
    "images": [
      {
        "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,
        "width": 1024,
        "height": 768
      }
    ],
    "seed": 42
  },
  "outputs": [
    {
      "type": "image",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_size": 1843200,
      "width": 1024,
      "height": 768,
      "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 |
|---|---|---|
| `images` | array of object {url, content_type, file_name, file_size, width, height} | 모델이 생성한 이미지입니다. |
| `seed` | integer | 이미지 생성 중 사용되는 시드입니다. |

## Related models

- [Krea 2 Large](https://doitong.com/developers/models/krea/v2/large/text-to-image.md) (`krea/v2/large/text-to-image`): from $0.06 / request
- [Krea 2 Medium Text to Image Turbo](https://doitong.com/developers/models/krea/v2/medium/turbo/text-to-image.md) (`krea/v2/medium/turbo/text-to-image`): from $0.015 / request
- [FLUX.1 \[dev\]](https://doitong.com/developers/models/flux/dev.md) (`flux/dev`): $0.025 / megapixel
- [FLUX.1 \[schnell\]](https://doitong.com/developers/models/flux/schnell.md) (`flux/schnell`): $0.003 / megapixel
- [FLUX.2 \[dev\]](https://doitong.com/developers/models/flux-2.md) (`flux-2`): $0.012 / megapixel
- [FLUX.2 \[pro\]](https://doitong.com/developers/models/flux-2-pro.md) (`flux-2-pro`): $0.015 / megapixel of output image
- [GPT Image 2.5 Text to Image](https://doitong.com/developers/models/openai/gpt-image-2.5/flare/text-to-image.md) (`openai/gpt-image-2.5/flare/text-to-image`): from $0.008 / image
- [Ideogram V4.5](https://doitong.com/developers/models/ideogram/v4.5.md) (`ideogram/v4.5`): from $0.03 / image

## Links

- HTML page: https://doitong.com/developers/models/krea/v2/medium/text-to-image
- 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/v2/medium/text-to-image
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/krea/v2/medium/text-to-image