# Bria Text-to-Image HD API

> مولّد تحويل النص إلى صورة بخطوات أكثر لإخراج HD، مع 20 إلى 50 خطوة استدلال وصور توجيه اختيارية

نموذج تحويل النص إلى صورة يستهدف نتائج HD، باستخدام جدول تحسين أطول من النسخة السريعة: يتراوح `num_inference_steps` من 20 إلى 50 والافتراضي 30. ينتج من 1 إلى 4 صور لكل طلب ويقبل `negative_prompt` و`seed` و`guidance_scale` من 0 إلى 20 وتسع نسب أبعاد و`medium` بقيمة photography أو art. يمكن دمج ما يصل إلى 4 طرق توجيه.

- 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/ar/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 | موجّه نصي يوجّه توليد الصورة. |
| `negative_prompt` |  | string | no | `` |  | موجّه نصي سلبي لتوليد الصورة. |
| `num_images` | `num_outputs` | integer | no | `4` | 1 – 4 | عدد الصور المطلوب، ويُستبدل بـ 1 كلما استُخدمت أي طريقة إرشاد. |
| `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` | نسبة أبعاد المخرج للتوليد دون إرشاد؛ أما طريقة الإرشاد فتأخذ النسبة من صورة الإرشاد وتتجاهل هذا الإعداد. |
| `seed` |  | integer \| null | no |  | 0 – 2,147,483,647 | بذرة لصور قابلة لإعادة الإنتاج: ينتج الموجّه والبذرة المتطابقان الصورة نفسها عند عدم تغيير إصدار النموذج. |
| `num_inference_steps` |  | integer | no | `30` | 20 – 50 | عدد اختياري من تكرارات النموذج المستخدمة لتنقيح الصورة الناتجة. |
| `guidance_scale` |  | number | no | `5` | 0 – 20 | قوة الالتزام بالموجّه لاختيار الصورة، معبَّر عنها بصيغة CFG (Classifier Free Guidance). |
| `prompt_enhancement` |  | boolean | no | `false` |  | مفتاح تحسين الموجّه: يؤدي true إلى تعزيز تنوع الصور وإبداعها عبر توسيع الموجّه المقدم إلى تنويعات إضافية بأوصاف أغنى. |
| `medium` |  | enum (string) \| null | no |  | `photography`, `art` | الوسيط المستخدم في الصور المُولَّدة. اتركه غير مضبوط أو عيّن له null لاختيار الوسيط تلقائيًا. |
| `guidance` |  | array of object {image_url, method, scale} | no | `[]` |  | صور إرشاد التوليد، تُوفَّر مع طرق يمكن دمجها في استدلال واحد، بحد أقصى 4 طرق. |
| `guidance[].image_url` |  | string (image URL) | yes |  |  | صورة إرشاد بترميز Base64 للطريقة المحددة بواسطة guidance_method_1؛ تُطلب صورة كلما تم اختيار guidance_method_1. التنسيقات المدعومة: jpeg وjpg وpng وwebp؛ والحد الأقصى للحجم 12 MB. عند دمج طرق الإرشاد، يجب أن تشترك كل صور الإرشاد في نسبة أبعاد واحدة تحدد أيضًا نسبة أبعاد المخرج. |
| `guidance[].method` |  | enum (string) | no |  | `controlnet_canny`, `controlnet_depth`, `controlnet_recoloring`, `controlnet_color_grid` | نوع إرشاد اختياري للتوليد. يمكن لاستدلال واحد دمج ما يصل إلى 4 طرق إرشاد. |
| `guidance[].scale` |  | number | no | `1` | 0 – 1 | قوة تأثير الإرشاد. |

## 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} | الصور الناتجة عن النموذج. |
| `seed` | integer | البذرة المطبقة أثناء التوليد. |

## 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