# Leffa Pose Transfer API

> Cambia la pose de una persona en una imagen para que coincida con la pose corporal mostrada en una segunda imagen de referencia

Cambia la pose de una persona usando una imagen de referencia como fuente de la pose. Recibe dos URL de imágenes, `pose_image_url` y `person_image_url`, y devuelve una imagen. `num_inference_steps` va de 1 a 50 (predeterminado: 50) y `guidance_scale` de 0 a 20. La salida puede ser png o jpeg, y `seed` permite repetir los resultados.

- 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.ru/v1/run/leffa/pose-transfer`
- Quote: `POST https://api.doitong.ru/v1/quote/leffa/pose-transfer`
- Docs page: https://doitong.com/es-MX/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.ru/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 | Cantidad de pasos de inferencia que se ejecutarán. |
| `seed` |  | integer \| null | no |  |  | Semilla para reproducir imágenes. Para reproducir una imagen, la semilla, la entrada y la versión del modelo deben permanecer sin cambios; en esas condiciones, el resultado es idéntico en cada ejecución. |
| `guidance_scale` |  | number | no | `2.5` | 0 – 20 | Escala CFG (Classifier Free Guidance) que controla qué tan de cerca sigue la generación de imágenes tu entrada. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Comprobación de seguridad que devuelve imágenes negras en lugar de cualquier imagen marcada como no segura. Un valor true activa la comprobación; false la desactiva solo para cuentas autorizadas, mientras que las solicitudes sin autorización se comprueban de todos modos. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png` | Formato de archivo de la imagen resultante. |
| `pose_image_url` |  | string (image URL) | yes |  |  | URL que apunta a la imagen de la persona. |
| `person_image_url` |  | string (image URL) | yes |  |  | URL que apunta a la imagen de la prenda. |

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.ru/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.ru/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.ru/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.ru/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.ru/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.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `image` | object {url, content_type, file_name, file_size, width, height} | Imagen producida como salida. |
| `seed` | integer | Semilla utilizada durante la inferencia. |
| `has_nsfw_concepts` | boolean | Indicador de conceptos NSFW presentes en la imagen. |

## 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.ru/v1/models/leffa/pose-transfer