# Stable Diffusion V3 API

> Stable Diffusion 3 Medium لتحويل النص إلى صورة، مع توسيع اختياري للمطالبة وما يصل إلى 4 صور

نموذج Multimodal Diffusion Transformer يحوّل `prompt` إلى صور. تشمل الخيارات `negative_prompt` و`prompt_expansion` وست قيم مسبقة لـ `image_size`، مع square_hd كقيمة افتراضية. تتراوح الخطوات من 1 إلى 50، والافتراضي 28، وتتراوح `guidance_scale` من 0 إلى 20. تتيح `num_images` من 1 إلى 4.

- Model id: `stable-diffusion-v3-medium`
- Made by: Stability AI
- Category: Text to Image
- Output: image
- Price: $0.035 / image (cheapest run $0.035 (35 API credits))
- Run: `POST https://api.doitong.com/v1/run/stable-diffusion-v3-medium`
- Quote: `POST https://api.doitong.com/v1/quote/stable-diffusion-v3-medium`
- Docs page: https://doitong.com/ar/developers/models/stable-diffusion-v3-medium

## Pricing

Price: **$0.035 / image**. Billed per generated image (`num_images`, default 1).

The full example input below costs $0.035 = 35 API credits (1 image × 35 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/stable-diffusion-v3-medium` 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 |  |  | الموجّه الذي يوجّه توليد الصورة. |
| `negative_prompt` |  | string | no | `` |  | الموجّه السلبي المستخدم عند توليد الصورة. |
| `prompt_expansion` |  | boolean | no | `false` |  | رفع دقة الموجّه، مما يضيف مزيدًا من التفاصيل عند تفعيله. |
| `image_size` |  | object {width, height} \| enum (string) | no | `square_hd` | `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9` | أبعاد الصورة المُولّدة. |
| `num_inference_steps` |  | integer | no | `28` | 1 – 50 | عدد خطوات الاستدلال المطلوب تنفيذها. |
| `seed` |  | integer \| null | no |  |  | بذرة لإعادة إنتاج الصور في Stable Diffusion. يمكن إعادة إنتاج الصورة تمامًا في كل تشغيل بالحفاظ على إصدار النموذج والموجّه والبذرة دون تغيير. |
| `guidance_scale` |  | number | no | `5` | 0 – 20 | قوة الالتزام بالموجّه لاختيار الصورة، معبَّر عنها بصيغة CFG (Classifier Free Guidance). |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | عدد الصور المطلوب توليده. |
| `enable_safety_checker` |  | boolean | no | `true` |  | فحص السلامة، الذي يعيد صورًا سوداء بدلًا من أي صور مصنفة على أنها غير آمنة. تُمكّن القيمة true الفحص؛ وتعطله false للحسابات المخولة فقط، بينما تُفحص الطلبات من دون تخويل على أي حال. |

## 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/stable-diffusion-v3-medium?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/stable-diffusion-v3-medium?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/stable-diffusion-v3-medium", 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": "stable-diffusion-v3-medium",
      "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": "stable-diffusion-v3-medium",
  "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": 35,
    "usd": "0.035",
    "charged": 35,
    "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",
        "width": 1024,
        "height": 768,
        "content_type": "image/jpeg"
      }
    ],
    "timings": {},
    "seed": 42,
    "has_nsfw_concepts": [
      false
    ],
    "prompt": "string",
    "num_images": 1
  },
  "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, width, height, content_type} | معلومات الملفات الخاصة بالصور المولّدة. |
| `timings` | object |  |
| `seed` | integer | بذرة توليد الصورة، بما في ذلك القيمة المختارة عشوائيًا إذا لم يتضمن المدخل بذرة؛ وإلا تكرر القيمة المقدمة. |
| `has_nsfw_concepts` | array of boolean | يشير إلى ما إذا كانت مفاهيم NSFW تظهر في الصور المُولّدة. |
| `prompt` | string | الموجّه المستخدم أثناء توليد الصورة. |
| `num_images` | integer | عدد الصور الناتجة. |

## Related models

- [Stable Diffusion V3 · Image to Image](https://doitong.com/developers/models/stable-diffusion-v3-medium/image-to-image.md) (`stable-diffusion-v3-medium/image-to-image`): $0.035 / image
- [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
- [Nano Banana 2](https://doitong.com/developers/models/nano-banana-2.md) (`nano-banana-2`): from $0.06 / image

## Links

- HTML page: https://doitong.com/developers/models/stable-diffusion-v3-medium
- 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=stable-diffusion-v3-medium
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/stable-diffusion-v3-medium