# Leffa Pose Transfer API

> تغییر ژست تصویر یک فرد برای تطبیق با ژست بدن در تصویر مرجع دوم

ژست فرد را با استفاده از تصویر مرجع به‌عنوان منبع ژست تغییر می‌دهد. دو URL تصویر، یعنی `pose_image_url` و `person_image_url`، می‌گیرد و یک تصویر برمی‌گرداند. بازهٔ `num_inference_steps` از 1 تا 50 (پیش‌فرض 50) و `guidance_scale` از 0 تا 20 است. خروجی می‌تواند png یا jpeg باشد و `seed` نتایج تکرارپذیر ایجاد می‌کند.

- Model id: `leffa/pose-transfer`
- 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/pose-transfer`
- Quote: `POST https://api.doitong.com/v1/quote/leffa/pose-transfer`
- Docs page: https://doitong.com/fa/developers/models/leffa/pose-transfer

## 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/pose-transfer` 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 | تعداد مراحل استنتاج. |
| `seed` |  | integer \| null | no |  |  | بذر بازتولیدپذیری تصویر. برای بازتولید تصویر باید بذر، ورودی و نسخه مدل ثابت بمانند؛ در این شرایط نتیجه در هر اجرا یکسان است. |
| `guidance_scale` |  | number | no | `2.5` | 0 – 20 | مقیاس CFG (Classifier Free Guidance) که میزان پیروی تولید تصویر از ورودی شما را کنترل می‌کند. |
| `enable_safety_checker` |  | boolean | no | `true` |  | بررسی ایمنی که به‌جای تصاویر ناامن علامت‌گذاری‌شده، تصاویر سیاه برمی‌گرداند. مقدار true بررسی را فعال می‌کند؛ false آن را فقط برای حساب‌های مجاز غیرفعال می‌کند، در حالی که درخواست‌های بدون مجوز در هر حال بررسی می‌شوند. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png` | قالب فایل تصویر نهایی. |
| `pose_image_url` |  | string (image URL) | yes |  |  | نشانی تصویر فرد. |
| `person_image_url` |  | string (image URL) | yes |  |  | نشانی تصویر لباس. |

File parameters (`pose_image_url`, `person_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
{
  "pose_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
  "person_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
```

A fuller example:

```json
{
  "pose_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
  "person_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/leffa/pose-transfer?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "pose_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "person_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/leffa/pose-transfer?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "pose_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "person_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 = {
    "pose_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "person_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/leffa/pose-transfer", 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/pose-transfer",
      "input": {
        "pose_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
        "person_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": "leffa/pose-transfer",
  "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": {
    "pose_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "person_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  },
  "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} | تصویر تولیدشده به‌عنوان خروجی. |
| `seed` | integer | seed استفاده‌شده هنگام استنتاج. |
| `has_nsfw_concepts` | boolean | شاخص مفاهیم NSFW موجود در تصویر. |

## Related models

- [Leffa Virtual TryOn](https://doitong.com/developers/models/leffa/virtual-tryon.md) (`leffa/virtual-tryon`): $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/pose-transfer
- 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/pose-transfer
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/leffa/pose-transfer