# FASHN Virtual Try-On V1.5 API

> تجربة ملابس افتراضية تُلبس فيها صورة نموذج قطعة ملابس، بدقة v1.5

يأخذ `model_image` و`garment_image` (كرابط URL أو base64) ويعرض القطعة على الشخص. تغطي `category` الفئات tops وbottoms وone-pieces أو auto، بينما يتعامل `garment_photo_type` مع on-model أو flat-lay. يوازن `mode` بين السرعة والجودة، ويُعيد `num_samples` من 1 إلى 4 صور.

- Model id: `fashn/tryon/v1.5`
- Made by: FASHN
- Category: Image Editing
- Output: image
- Price: $0.075 / image (cheapest run $0.075 (75 API credits))
- Run: `POST https://api.doitong.com/v1/run/fashn/tryon/v1.5`
- Quote: `POST https://api.doitong.com/v1/quote/fashn/tryon/v1.5`
- Docs page: https://doitong.com/ar/developers/models/fashn/tryon/v1.5

## Pricing

Price: **$0.075 / image**. Billed per generated image (`num_samples`, default 1).

The full example input below costs $0.075 = 75 API credits (1 image × 75 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/fashn/tryon/v1.5` 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 |
|---|---|---|---|---|---|---|
| `model_image` |  | string | yes |  |  | صورة النموذج المقدّمة كعنوان URL أو بيانات base64. |
| `garment_image` |  | string | yes |  |  | صورة الملابس المقدّمة كعنوان URL أو بيانات base64. |
| `category` |  | enum (string) | no | `auto` | `tops`, `bottoms`, `one-pieces`, `auto` | فئة الملابس للتجربة، حيث يطلب 'auto' محاولة اكتشافها تلقائيًا. |
| `mode` |  | enum (string) | no | `balanced` | `performance`, `balanced`, `quality` | وضع التشغيل للمفاضلة بين السرعة والجودة: يسعى 'balanced' إلى حل وسط، ويقدّم 'quality' نتائج أفضل مع معالجة أبطأ، بينما يعمل 'performance' بسرعة أكبر مع احتمال انخفاض الجودة. |
| `garment_photo_type` |  | enum (string) | no | `auto` | `auto`, `model`, `flat-lay` | فئة صورة الملابس لضبط أداء المعلمات الداخلية. تستخدم الصور المسطحة وصور العارض الوهمي 'flat-lay'؛ وتستخدم صور الملابس المرتداة على نموذج 'model'. مع 'auto' يحاول النظام تحديد الفئة بنفسه. |
| `moderation_level` |  | enum (string) | no | `permissive` | `none`, `permissive`, `conservative` | سياسة الإشراف على صورة الملابس. يتطلب تعطيل المرشحات باستخدام 'none' تصريحًا للحساب؛ وبدونه يتصرف هذا الاختيار مثل 'permissive'. يقتصر الحظر في 'permissive' على المحتوى الصريح، بينما يستبعد 'conservative' أيضًا الملابس الداخلية وملابس السباحة. |
| `seed` |  | integer \| null | no |  |  | بذرة لتوليد قابل لإعادة الإنتاج: تثبّت العشوائية بحيث يمكن للمدخلات المتطابقة إنتاج النتيجة نفسها، بينما تفرض البذرة المتغيرة نتيجة مختلفة. |
| `num_samples` |  | integer | no | `1` | 1 – 4 | عدد الصور في تشغيل واحد، ما يتيح إجراء محاولات متعددة معًا لزيادة احتمال الحصول على نتيجة جيدة رغم عشوائية التوليد. |
| `segmentation_free` |  | boolean | no | `true` |  | تعطيل تحليل البشر لصورة النموذج. |
| `output_format` |  | enum (string) | no | `png` | `png`, `jpeg` | اختيار تنسيق الصورة بين 'png' لأعلى جودة و'jpeg' لتوليد أسرع. |
| `enable_safety_checker` |  | boolean | no | `true` |  | يمكن تخفيف الفحص بضبط القيمة على false، شريطة أن يكون المستدعي مخولًا بذلك. |

## Example input

Required parameters only:

```json
{
  "model_image": "example",
  "garment_image": "example"
}
```

A fuller example:

```json
{
  "model_image": "example",
  "garment_image": "example"
}
```

## 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/fashn/tryon/v1.5?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model_image": "example",
    "garment_image": "example"
  }'

# 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/fashn/tryon/v1.5?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "model_image": "example",
    "garment_image": "example"
  }),
});
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 = {
    "model_image": "example",
    "garment_image": "example",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/fashn/tryon/v1.5", 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": "fashn/tryon/v1.5",
      "input": {
        "model_image": "example",
        "garment_image": "example"
      },
      "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": "fashn/tryon/v1.5",
  "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": 75,
    "usd": "0.075",
    "charged": 75,
    "refunded": 0
  },
  "input": {
    "model_image": "example",
    "garment_image": "example"
  },
  "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
      }
    ]
  },
  "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} |  |

## Related models

- [FASHN Virtual Try-On V1.6](https://doitong.com/developers/models/fashn/tryon/v1.6.md) (`fashn/tryon/v1.6`): $0.075 / image
- [FLUX.1 Kontext \[pro\]](https://doitong.com/developers/models/flux-pro/kontext.md) (`flux-pro/kontext`): $0.04 / image
- [GPT Image 2.5 Edit](https://doitong.com/developers/models/openai/gpt-image-2.5/flare/edit.md) (`openai/gpt-image-2.5/flare/edit`): from $0.12 / image
- [Nano Banana 2 Edit](https://doitong.com/developers/models/nano-banana-2/edit.md) (`nano-banana-2/edit`): from $0.06 / image
- [Nano Banana Pro Edit](https://doitong.com/developers/models/nano-banana-pro/edit.md) (`nano-banana-pro/edit`): from $0.15 / image
- [Qwen Image 3 Edit](https://doitong.com/developers/models/alibaba/qwen-image-3/edit.md) (`alibaba/qwen-image-3/edit`): from $0.04 / image
- [Seedream 5.0 Pro Edit](https://doitong.com/developers/models/bytedance/seedream/v5/pro/edit.md) (`bytedance/seedream/v5/pro/edit`): from $0.0675 / run of output image
- [Age Modify](https://doitong.com/developers/models/image-apps-v2/age-modify.md) (`image-apps-v2/age-modify`): $0.04 / image

## Links

- HTML page: https://doitong.com/developers/models/fashn/tryon/v1.5
- 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=fashn/tryon/v1.5
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/fashn/tryon/v1.5