# Bria Text-to-Image HD API

> 20 ile 50 çıkarım adımı ve isteğe bağlı yönlendirme görüntüleriyle HD çıktı üreten daha çok adımlı metinden görüntü üreticisi

Fast varyantına göre daha uzun bir iyileştirme planı kullanan ve HD sonuçları hedefleyen metinden görüntü modelidir: `num_inference_steps` 20 ile 50 arasında olup varsayılanı 30'dur. İstek başına 1 ila 4 görüntü üretir; `negative_prompt`, `seed`, 0 ile 20 arasında `guidance_scale`, dokuz en-boy oranı ve photography veya art değerli bir `medium` kabul eder. En fazla 4 yönlendirme yöntemi birleştirilebilir.

- Model id: `bria/text-to-image/hd`
- Made by: Bria AI
- Category: Text to Image
- Output: image
- Price: $0.04 / image (cheapest run $0.16 (160 API credits))
- Run: `POST https://api.doitong.com/v1/run/bria/text-to-image/hd`
- Quote: `POST https://api.doitong.com/v1/quote/bria/text-to-image/hd`
- Docs page: https://doitong.com/tr/developers/models/bria/text-to-image/hd

## Pricing

Price: **$0.04 / image**. Billed per generated image (`num_images`, default 1).

The full example input below costs $0.16 = 160 API credits (4 images × 40 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/bria/text-to-image/hd` 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

Send either the canonical name or the native field name (not both). Canonical names are the same across models.

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `prompt` |  | string | yes |  | ≥ 1 characters | Görsel üretimini yönlendiren metin istemi. |
| `negative_prompt` |  | string | no | `` |  | Görsel üretimi için negatif metin istemi. |
| `num_images` | `num_outputs` | integer | no | `4` | 1 – 4 | İstenen görsel sayısı; herhangi bir yönlendirme yöntemi kullanıldığında 1 olarak geçersiz kılınır. |
| `aspect_ratio` |  | enum (string) | no | `1:1` | `1:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9` | Yönlendirme olmadan üretim için çıktı en-boy oranı; yönlendirme yöntemi bunun yerine oranı yönlendirme görselinden alır ve bu ayarı yok sayar. |
| `seed` |  | integer \| null | no |  | 0 – 2,147,483,647 | Tekrarlanabilir görseller için seed: model sürümü değişmediğinde aynı istem ve seed, aynı görseli üretir. |
| `num_inference_steps` |  | integer | no | `30` | 20 – 50 | Çıktı görselini iyileştirmek için kullanılan model yinelemelerinin isteğe bağlı sayısı. |
| `guidance_scale` |  | number | no | `5` | 0 – 20 | Görsel seçimi için isteme uyum gücü; CFG (Classifier Free Guidance) olarak ifade edilir. |
| `prompt_enhancement` |  | boolean | no | `false` |  | İstem geliştirme anahtarı: true, sağlanan istemi daha zengin açıklamalarla ek varyasyonlara genişleterek daha çeşitli ve yaratıcı görselleri teşvik eder. |
| `medium` |  | enum (string) \| null | no |  | `photography`, `art` | Üretilen görsellerde kullanılacak ortam. Otomatik ortam seçimi için ayarlamadan bırakın veya null atayın. |
| `guidance` |  | array of object {image_url, method, scale} | no | `[]` |  | Tek bir çıkarımda birleştirilebilen yöntemlerle sağlanan üretim yönlendirme görselleri; en fazla 4 yöntem kullanılabilir. |
| `guidance[].image_url` |  | string (image URL) | yes |  |  | guidance_method_1 tarafından belirtilen yöntem için base64 kodlu yönlendirme görseli; guidance_method_1 seçildiğinde görsel zorunludur. Desteklenen biçimler: jpeg, jpg, png, webp; maksimum boyut 12 MB'tır. Yönlendirme yöntemleri birleştirilirken her yönlendirme görseli aynı en-boy oranına sahip olmalı; bu oran çıktı en-boy oranını da belirler. |
| `guidance[].method` |  | enum (string) | no |  | `controlnet_canny`, `controlnet_depth`, `controlnet_recoloring`, `controlnet_color_grid` | Üretim için isteğe bağlı yönlendirme türü. Tek bir çıkarımda en fazla 4 yönlendirme yöntemi birleştirilebilir. |
| `guidance[].scale` |  | number | no | `1` | 0 – 1 | Yönlendirme etkisinin gücü. |

## 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/bria/text-to-image/hd?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/bria/text-to-image/hd?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/bria/text-to-image/hd", 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": "bria/text-to-image/hd",
      "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": "bria/text-to-image/hd",
  "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": 160,
    "usd": "0.16",
    "charged": 160,
    "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 | Üretim sırasında uygulanan seed. |

## Related models

- [Bria Text-to-Image Base](https://doitong.com/developers/models/bria/text-to-image/base.md) (`bria/text-to-image/base`): $0.04 / image
- [Bria Text-to-Image Fast](https://doitong.com/developers/models/bria/text-to-image/fast.md) (`bria/text-to-image/fast`): $0.028 / image
- [Bria](https://doitong.com/developers/models/bria/reimagine.md) (`bria/reimagine`): $0.04 / image
- [Bria Background Replace](https://doitong.com/developers/models/bria/background/replace.md) (`bria/background/replace`): $0.04 / image
- [Bria Eraser](https://doitong.com/developers/models/bria/eraser.md) (`bria/eraser`): $0.04 / request
- [Bria Expand Image](https://doitong.com/developers/models/bria/expand.md) (`bria/expand`): $0.04 / request
- [Bria GenFill](https://doitong.com/developers/models/bria/genfill.md) (`bria/genfill`): $0.04 / image
- [Bria Product Dimensions](https://doitong.com/developers/models/bria/product-dimensions.md) (`bria/product-dimensions`): $0.04 / image

## Links

- HTML page: https://doitong.com/developers/models/bria/text-to-image/hd
- 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=bria/text-to-image/hd
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/bria/text-to-image/hd