# Stable Diffusion V3 API

> اختیاری پرامپٹ توسیع اور زیادہ سے زیادہ 4 تصاویر کے ساتھ Stable Diffusion 3 Medium ٹیکسٹ ٹو تصویر

ایک Multimodal Diffusion Transformer ماڈل جو `prompt` کو تصاویر میں تبدیل کرتا ہے۔ اختیارات میں `negative_prompt`، `prompt_expansion` اور `image_size` کی چھ پری سیٹ اقدار شامل ہیں، جبکہ ڈیفالٹ square_hd ہے۔ مراحل 1 سے 50 تک، ڈیفالٹ 28، اور `guidance_scale` 0 سے 20 تک ہے۔ `num_images` کے ذریعے 1 سے 4 تصاویر بنائی جا سکتی ہیں۔

- 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/ur/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 |  |  | تصویر کی تخلیق کی رہنمائی کرنے والا پرامپٹ۔ |
| `negative_prompt` |  | string | no | `` |  | تصویر تخلیق کرتے وقت استعمال ہونے والا منفی پرامپٹ۔ |
| `prompt_expansion` |  | boolean | no | `false` |  | فعال ہونے پر پرامپٹ upsampling مزید تفصیل شامل کرتا ہے۔ |
| `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` | تخلیق شدہ تصویر کی dimensions۔ |
| `num_inference_steps` |  | integer | no | `28` | 1 – 50 | چلائے جانے والے inference steps کی تعداد۔ |
| `seed` |  | integer \| null | no |  |  | Stable Diffusion میں تصاویر دوبارہ بنانے کے لیے seed۔ ماڈل ورژن، پرامپٹ اور seed یکساں رکھ کر ہر بار تصویر بالکل دوبارہ بنائی جا سکتی ہے۔ |
| `guidance_scale` |  | number | no | `5` | 0 – 20 | تصویر کے انتخاب کے لیے پرامپٹ کی پابندی کی طاقت، CFG (Classifier Free Guidance) کے طور پر ظاہر کی جاتی ہے۔ |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | تخلیق کے لیے مطلوبہ تصاویر کی تعداد۔ |
| `enable_safety_checker` |  | boolean | no | `true` |  | حفاظتی جانچ، جو غیر محفوظ قرار دی گئی تصاویر کی جگہ سیاہ تصاویر واپس کرتی ہے۔ true جانچ فعال کرتا ہے؛ false اسے صرف مجاز اکاؤنٹس کے لیے غیر فعال کرتا ہے، جبکہ بغیر اجازت درخواستوں کی جانچ بہرحال ہوتی ہے۔ |

## 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} | تیار کردہ تصاویر کی فائل کی معلومات۔ |
| `timings` | object |  |
| `seed` | integer | تصویر کی تخلیق کا سیڈ، جس میں ان پٹ میں سیڈ نہ دینے پر تصادفی طور پر منتخب قدر شامل ہوتی ہے؛ بصورتِ دیگر فراہم کردہ قدر دہرائی جاتی ہے۔ |
| `has_nsfw_concepts` | array of boolean | بتاتا ہے کہ تخلیق کردہ تصاویر میں NSFW تصورات موجود ہیں یا نہیں۔ |
| `prompt` | string | تصویر کی تخلیق کے دوران استعمال ہونے والا پرامپٹ۔ |
| `num_images` | integer | تیار کی جانے والی تصاویر کی تعداد۔ |

## 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