# Krea 2 Medium API

> Yaratıcılık düzeyleri, sekiz en-boy oranı ve isteğe bağlı stil referansları, hazır ayarlar ile moodboard sunan metinden görüntüye

En fazla 5000 karakterlik bir metin isteminden görüntü oluşturur. `aspect_ratio`, 1:1 ile 2.35:1 ve 9:16 arasından sekiz seçenek sunar. `creativity`, raw ile high arasında değişir ve sonucun istemi ne kadar yakından izleyeceğini denetler. Görünümü en fazla 10 `image_style_references`, en fazla 10 hazır `styles` veya bir moodboard ile yönlendirebilir, ayrıca tekrarlanabilir sonuçlar için bir `seed` sabitleyebilirsiniz.

- 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/tr/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 | İstenen görsel içeriğini belirten metin. |
| `aspect_ratio` |  | enum (string) | no | `1:1` | `1:1`, `4:3`, `3:2`, `16:9`, `2.35:1`, `4:5`, `2:3`, `9:16` | Çıktı görselinin genişlik-yükseklik oranı. |
| `creativity` |  | enum (string) | no | `medium` | `raw`, `low`, `medium`, `high` | İstem yorumlama esnekliği; düşük ayarlarda daha sıkı uyum, yüksek ayarlarda ise daha fazla yaratıcılık ve istemden olası sapmalar sağlar. |
| `seed` |  | integer \| null | no |  |  | Üretimi tekrarlanabilir kılan rastgele seed. |
| `image_style_references` |  | array of object {image_url, strength} | no | `[]` | ≤ 10 items | En fazla 10 referans görselle üretilen görselin stilini yönlendirin; bu listenin sağlanması isteğe bağlıdır. |
| `image_style_references[].image_url` |  | string (image URL) | yes |  |  | Genel erişime açık referans görseli URL'si. |
| `image_style_references[].strength` |  | number | no | `1` | -2 – 2 | Referansın üretilen görsel üzerindeki etkisini ayarlayın; bunun yerine negatif değer kullanarak sonucu referanstan uzaklaştırın. |
| `styles` |  | array of object {id, strength} | no | `[]` | ≤ 10 items | Uygulanacak isteğe bağlı LoRA tabanlı Krea stil ön ayarları; 10 girdiye kadar. Girdiler, Krea stilleri kataloğundaki `id` ile bir stili tanımlar. |
| `styles[].id` |  | string | yes |  |  | Krea stilleri kataloğundan tanımlayıcıyla stil seçimi; seçilen ön ayar LoRA tabanlıdır. |
| `styles[].strength` |  | number | no | `1` | -2 – 2 | Stilin üretilen görsel üzerindeki etkisini ayarlayın; bunun yerine negatif değer kullanarak sonucu bu stilden uzaklaştırın. |
| `moodboards` |  | array of object {id, strength} | no | `[]` | ≤ 1 items | Bir girdinin UUID `id` değeriyle seçilen isteğe bağlı üretim moodboard'u. Geçerli sınır, bir istekte bir moodboard'dur. |
| `moodboards[].id` |  | string | yes |  |  | Krea moodboard'unu tanımlayan UUID. |
| `moodboards[].strength` |  | number | no | `0.23` | 0 – 1 | Moodboard'un görsel üretimi üzerindeki etkisinin gücü. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Çağıran yetkiliyse false ayarlanarak tarama gevşetilebilir. |

## 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} | Model tarafından oluşturulan görseller. |
| `seed` | integer | Görsel üretimi sırasında kullanılan tohum. |

## 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