# Leffa Pose Transfer API

> Hubadilisha mkao wa mtu kwenye picha ili ulingane na mkao wa mwili unaoonyeshwa kwenye picha ya pili ya marejeleo

Hubadilisha mkao wa mtu kwa kutumia picha ya marejeleo kama chanzo cha mkao. Hupokea URL mbili za picha, `pose_image_url` na `person_image_url`, na kurejesha picha moja. `num_inference_steps` huwa kati ya 1 hadi 50 (chaguo-msingi 50) na `guidance_scale` kati ya 0 hadi 20. Matokeo yanaweza kuwa png au jpeg, na `seed` hufanya matokeo yarudiwe.

- 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/sw/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 | Idadi ya hatua za inference zitakazoendeshwa. |
| `seed` |  | integer \| null | no |  |  | Mbegu ya kurudiwa kwa picha. Kurudia picha kunahitaji mbegu, ingizo na toleo la modeli vibaki bila kubadilika; chini ya masharti hayo, matokeo yanafanana katika kila uendeshaji. |
| `guidance_scale` |  | number | no | `2.5` | 0 – 20 | Mizani ya CFG (Classifier Free Guidance) inayodhibiti jinsi uzalishaji wa picha unavyofuata kwa karibu ingizo lako. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Ukaguzi wa usalama, unaorejesha picha nyeusi badala ya picha zilizobainishwa kuwa si salama. Thamani ya true huanzisha ukaguzi; false huuzima tu kwa akaunti zilizoidhinishwa, huku maombi yasiyo na idhini yakikaguliwa bila kujali. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png` | Muundo wa faili wa picha inayotokana. |
| `pose_image_url` |  | string (image URL) | yes |  |  | URL inayoelekeza kwenye picha ya mtu. |
| `person_image_url` |  | string (image URL) | yes |  |  | URL inayoelekeza kwenye picha ya vazi. |

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} | Picha iliyozalishwa kama tokeo. |
| `seed` | integer | Mbegu inayotumika wakati wa uelekezaji. |
| `has_nsfw_concepts` | boolean | Kiashiria cha dhana za NSFW ndani ya picha. |

## 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