# FLUX Virtual Try-On API

> پرو مجازی برای قرار دادن تصویر لباس روی عکس فرد

لباس موجود در `garment_image_url` را طبق `prompt` درباره نحوه پوشیدن، روی فرد موجود در `human_image_url` اعمال می‌کند. خروجی نسبت تصویر عکس فرد را حفظ می‌کند. تصویر فرد حداکثر 2 مگاپیکسل و تصویر لباس حداکثر 1 مگاپیکسل است؛ چند لباس را در یک تصویر ترکیبی ادغام کنید.

- Model id: `flux-pro/v1/vto`
- Made by: Black Forest Labs
- Category: Image Editing
- Output: image
- Price per run: from $0.0475 / run (cheapest run $0.048 (48 API credits))
- Run: `POST https://api.doitong.com/v1/run/flux-pro/v1/vto`
- Quote: `POST https://api.doitong.com/v1/quote/flux-pro/v1/vto`
- Docs page: https://doitong.com/fa/developers/models/flux-pro/v1/vto

## Pricing

Price: **from $0.0475 / run** (the lowest tier; the quote prices your exact input). Price per run: the input files are measured before the run (length, resolution, frame rate). The quote measures the same files and is exactly what the run charges.

The full example input below costs $0.048 = 48 API credits (1 run × $0.0475).

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/flux-pro/v1/vto` 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 |
|---|---|---|---|---|---|---|
| `prompt` |  | string | yes |  |  | دستورهای سبک‌دهی پوشاک به زبان طبیعی: نحوه قرارگیری آن روی فرد را مشخص کنید، از جمله گزینه‌هایی مانند لایه‌پوشی، داخل‌کردن لباس یا بالا‌زدن آستین‌ها. |
| `human_image_url` |  | string (image URL) | yes |  |  | URL عکس فردی که لباس را دریافت می‌کند؛ محدود به 2 مگاپیکسل است و کمتر از 1 مگاپیکسل توصیه می‌شود. این عکس نسبت تصویر خروجی را تعیین می‌کند. |
| `garment_image_url` |  | string (image URL) | yes |  |  | مرجع لباس را از طریق URL تصویر ارائه کنید و پیش از ارسال، چند لباس را در یک تصویر ترکیبی ادغام کنید. تصویر را در 1 مگاپیکسل یا کمتر نگه دارید؛ حدود 0.5 مگاپیکسل توصیه می‌شود. |
| `seed` |  | integer \| null | no |  |  | seed تولید که در صورت حذف، به‌صورت تصادفی انتخاب می‌شود. ارائه seed ثابت، در صورت ثابت‌ماندن ورودی، نتایج تصویر تکرارپذیر ایجاد می‌کند. |
| `output_format` |  | enum (string) | no | `jpeg` | `jpeg`, `png` | قالب فایل تصویر نهایی. |
| `enable_safety_checker` |  | boolean | no | `true` |  | با تنظیم false، در صورت مجاز بودن فراخواننده، می‌توان بررسی را آسان‌گیرانه‌تر کرد. |

File parameters (`human_image_url`, `garment_image_url`) take a public `https://` URL, a `data:` URI up to 10 MB, or the `file_url` of an upload from `POST /files`.

## Example input

Required parameters only:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "human_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
  "garment_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
```

A fuller example:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "human_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
  "garment_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
```

## 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/flux-pro/v1/vto?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",
    "human_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "garment_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }'

# 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/flux-pro/v1/vto?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",
    "human_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "garment_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }),
});
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",
    "human_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "garment_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/flux-pro/v1/vto", 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": "flux-pro/v1/vto",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
        "human_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
        "garment_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
      },
      "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": "flux-pro/v1/vto",
  "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": 48,
    "usd": "0.048",
    "charged": 48,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "human_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "garment_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  },
  "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"
  },
  "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} | اطلاعات فایل تصاویر تولیدشده. |
| `timings` | object |  |
| `seed` | integer | Seed تولید تصویر، شامل مقدار تصادفی انتخاب‌شده در صورت حذف Seed از ورودی؛ در غیر این صورت، مقدار ارائه‌شده را تکرار می‌کند. |
| `has_nsfw_concepts` | array of boolean | مشخص می‌کند مفاهیم NSFW در تصاویر تولیدشده ظاهر می‌شوند یا خیر. |
| `prompt` | string | پرامپت استفاده‌شده هنگام تولید تصویر. |

## Related models

- [Flux Pro Erase](https://doitong.com/developers/models/flux-pro/v1/erase.md) (`flux-pro/v1/erase`): from $0.042 / run
- [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
- [FLUX 2 Edit](https://doitong.com/developers/models/flux-2/edit.md) (`flux-2/edit`): $0.012 / megapixel

## Links

- HTML page: https://doitong.com/developers/models/flux-pro/v1/vto
- 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=flux-pro/v1/vto
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/flux-pro/v1/vto