# Leffa Virtual TryOn API

> ورچوئل ٹرائی آن جو اوپری، نچلے یا لباس کی قسم کے مطابق کسی شخص کی تصویر پر کپڑے کی تصویر پہناتا ہے

ایک تصویر کے لباس کو دوسری تصویر میں موجود شخص پر رینڈر کرتا ہے۔ ان پٹس `human_image_url`، `garment_image_url` اور مطلوبہ `garment_type` ہیں، جس کی قدر upper_body، lower_body یا dresses ہو سکتی ہے۔ `num_inference_steps` زیادہ سے زیادہ 50 (ڈیفالٹ 50) اور `guidance_scale` زیادہ سے زیادہ 20 ہے۔ آؤٹ پٹ ایک png یا jpeg ہے، جبکہ `seed` قابل تکرار نتائج دیتا ہے۔

- Model id: `leffa/virtual-tryon`
- Made by: Meta
- Category: Image Editing
- Output: image
- Price: $0.10 / request (cheapest run $0.10 (100 API credits))
- Run: `POST https://api.doitong.com/v1/run/leffa/virtual-tryon`
- Quote: `POST https://api.doitong.com/v1/quote/leffa/virtual-tryon`
- Docs page: https://doitong.com/ur/developers/models/leffa/virtual-tryon

## Pricing

Price: **$0.10 / request**. Billed once per request.

The full example input below costs $0.10 = 100 API credits (1 request × 100 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/leffa/virtual-tryon` 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 |
|---|---|---|---|---|---|---|
| `num_inference_steps` |  | integer | no | `50` | 1 – 50 | چلائے جانے والے inference steps کی تعداد۔ |
| `seed` |  | integer \| null | no |  |  | تصویر reproducibility کے لیے seed۔ تصویر دوبارہ بنانے کے لیے seed، ان پٹ اور ماڈل version یکساں رکھنا ضروری ہے؛ ان شرائط میں ہر run کا نتیجہ یکساں ہوتا ہے۔ |
| `guidance_scale` |  | number | no | `2.5` | 0 – 20 | CFG (Classifier Free Guidance) scale جو کنٹرول کرتا ہے کہ تصویر کی تخلیق آپ کے ان پٹ کی کتنی پابندی کرتی ہے۔ |
| `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۔ |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png` | نتیجہ خیز تصویر کا فائل فارمیٹ۔ |
| `human_image_url` |  | string (image URL) | yes |  |  | شخص کی تصویر کی طرف اشارہ کرنے والا URL۔ |
| `garment_image_url` |  | string (image URL) | yes |  |  | لباس کی تصویر کی طرف اشارہ کرنے والا URL۔ |
| `garment_type` |  | enum (string) | yes |  | `upper_body`, `lower_body`, `dresses` | ورچوئل try-on کے لیے لباس کی قسم۔ |

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
{
  "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",
  "garment_type": "upper_body"
}
```

A fuller example:

```json
{
  "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",
  "garment_type": "upper_body"
}
```

## 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/leffa/virtual-tryon?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "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",
    "garment_type": "upper_body"
  }'

# 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/leffa/virtual-tryon?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "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",
    "garment_type": "upper_body"
  }),
});
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 = {
    "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",
    "garment_type": "upper_body",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/leffa/virtual-tryon", 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": "leffa/virtual-tryon",
      "input": {
        "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",
        "garment_type": "upper_body"
      },
      "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": "leffa/virtual-tryon",
  "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": 100,
    "usd": "0.10",
    "charged": 100,
    "refunded": 0
  },
  "input": {
    "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",
    "garment_type": "upper_body"
  },
  "output": {
    "image": {
      "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,
    "has_nsfw_concepts": false
  },
  "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 |
|---|---|---|
| `image` | object {url, content_type, file_name, file_size, width, height} | آؤٹ پٹ کے طور پر تخلیق کی گئی تصویر۔ |
| `seed` | integer | استنباط کے دوران استعمال ہونے والا seed۔ |
| `has_nsfw_concepts` | boolean | تصویر میں NSFW تصورات کی موجودگی کا اشاریہ۔ |

## Related models

- [Leffa Pose Transfer](https://doitong.com/developers/models/leffa/pose-transfer.md) (`leffa/pose-transfer`): $0.10 / request
- [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
- [Meta Muse Image Edit](https://doitong.com/developers/models/meta/muse-image/edit.md) (`meta/muse-image/edit`): $0.01 / image

## Links

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