# Krea 2 Medium API

> Maandishi hadi picha yenye viwango vya ubunifu, uwiano wa vipimo nane, na marejeleo ya mtindo, mipangilio iliyowekwa na moodboard ya hiari

Huunda picha kutoka kwa kidokezo ya maandishi yenye hadi herufi 5000. `aspect_ratio` hutoa chaguo 8 kutoka 1:1 hadi 2.35:1 na 9:16. `creativity` ni kutoka raw hadi high, ikidhibiti jinsi matokeo yanavyofuata kidokezo. Unaweza kuelekeza mwonekano kwa hadi `image_style_references` 10, `styles` 10 zilizowekwa, au moodboard moja, na kuweka `seed` kwa matokeo yanayoweza kurudiwa.

- 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/sw/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 | Maandishi yanayobainisha maudhui ya picha inayotakiwa. |
| `aspect_ratio` |  | enum (string) | no | `1:1` | `1:1`, `4:3`, `3:2`, `16:9`, `2.35:1`, `4:5`, `2:3`, `9:16` | Uwiano wa upana kwa urefu wa picha ya tokeo. |
| `creativity` |  | enum (string) | no | `medium` | `raw`, `low`, `medium`, `high` | Unyumbufu wa kutafsiri kidokezo, ukibadilisha ufuasi wa karibu zaidi katika mipangilio ya chini kwa ubunifu mkubwa na uwezekano wa kuachana na kidokezo katika mipangilio ya juu. |
| `seed` |  | integer \| null | no |  |  | Seed nasibu inayofanya uzalishaji uweze kurudiwa. |
| `image_style_references` |  | array of object {image_url, strength} | no | `[]` | ≤ 10 items | Ongoza mtindo wa picha iliyotengenezwa kwa hadi picha 10 za marejeo; kutoa orodha hii ni hiari. |
| `image_style_references[].image_url` |  | string (image URL) | yes |  |  | URL ya picha ya marejeo inayoweza kufikiwa na umma. |
| `image_style_references[].strength` |  | number | no | `1` | -2 – 2 | Weka ushawishi wa marejeo kwenye picha iliyotengenezwa; thamani hasi huielekeza mbali na marejeo hayo. |
| `styles` |  | array of object {id, strength} | no | `[]` | ≤ 10 items | Uteuzi wa hiari wa mipangilio ya mitindo ya Krea inayotegemea LoRA, yenye kikomo cha vipengele 10. Vipengele hutambua mtindo kwa kutumia `id` yake katika katalogi ya mitindo ya Krea. |
| `styles[].id` |  | string | yes |  |  | Uteuzi wa mtindo kwa kitambulishi kutoka katalogi ya mitindo ya Krea; mpangilio uliochaguliwa unatokana na LoRA. |
| `styles[].strength` |  | number | no | `1` | -2 – 2 | Weka ushawishi wa mtindo kwenye picha iliyotengenezwa; thamani hasi huielekeza mbali na mtindo huo. |
| `moodboards` |  | array of object {id, strength} | no | `[]` | ≤ 1 items | Ubao wa hisia wa hiari wa uzalishaji, unaochaguliwa kupitia `id` ya UUID ya kipengele. Kikomo cha sasa ni ubao mmoja wa hisia katika ombi. |
| `moodboards[].id` |  | string | yes |  |  | UUID inayotambulisha ubao wa hisia wa Krea. |
| `moodboards[].strength` |  | number | no | `0.23` | 0 – 1 | Nguvu ya ushawishi wa ubao wa hisia kwenye uzalishaji wa picha. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Ukaguzi unaweza kulegezwa kwa kuweka false, ikiwa mpigaji simu ameidhinishwa. |

## 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} | Picha zilizozalishwa na modeli. |
| `seed` | integer | Mbegu inayotumika wakati wa uzalishaji wa picha. |

## 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