# Leffa Pose Transfer API

> Riposiziona una persona in un'immagine per adattarla alla posa del corpo mostrata in una seconda immagine di riferimento

Modifica la posa di una persona usando un'immagine di riferimento come sorgente della posa. Accetta due URL di immagini, `pose_image_url` e `person_image_url`, e restituisce un'immagine. `num_inference_steps` varia da 1 a 50 (predefinito 50) e `guidance_scale` da 0 a 20. L'output può essere png o jpeg e `seed` rende i risultati riproducibili.

- 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/it/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 | Numero di passaggi di inferenza da eseguire. |
| `seed` |  | integer \| null | no |  |  | Seed per la riproducibilità dell'immagine. Per riprodurre un'immagine è necessario mantenere invariati seed, input e versione del modello; in queste condizioni, il risultato è identico a ogni esecuzione. |
| `guidance_scale` |  | number | no | `2.5` | 0 – 20 | Scala CFG (Classifier Free Guidance) che controlla quanto la generazione dell'immagine segue il tuo input. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Controllo di sicurezza, che restituisce immagini nere al posto di quelle segnalate come non sicure. Il valore true abilita il controllo; false lo disabilita solo per account autorizzati, mentre le richieste senza autorizzazione vengono comunque controllate. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png` | Formato del file dell'immagine risultante. |
| `pose_image_url` |  | string (image URL) | yes |  |  | URL che punta all'immagine della persona. |
| `person_image_url` |  | string (image URL) | yes |  |  | URL che punta all'immagine del capo d'abbigliamento. |

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} | Immagine prodotta come output. |
| `seed` | integer | Seed usato durante l'inferenza. |
| `has_nsfw_concepts` | boolean | Indicatore dei concetti NSFW presenti nell'immagine. |

## 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