# Leffa Pose Transfer API

> Muling inaayos ang pose ng larawan ng tao upang tumugma sa body pose sa ikalawang reference larawan

Binabago ang pose ng tao gamit ang reference larawan bilang source ng pose. Tumatanggap ito ng dalawang larawan URL, `pose_image_url` at `person_image_url`, at nagbabalik ng isang larawan. Ang `num_inference_steps` ay mula 1 hanggang 50 (default 50) at ang `guidance_scale` ay mula 0 hanggang 20. Maaaring png o jpeg ang output, at ginagawang repeatable ng `seed` ang mga resulta.

- 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/fil/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 | Bilang ng inference step na isasagawa. |
| `seed` |  | integer \| null | no |  |  | Seed para sa reproducibility ng larawan. Upang ma-reproduce ang larawan, dapat manatiling pareho ang seed, input, at bersyon ng modelo; sa mga kundisyong ito, pareho ang resulta sa bawat run. |
| `guidance_scale` |  | number | no | `2.5` | 0 – 20 | CFG (Classifier Free Guidance) scale na kumokontrol kung gaano kalapit sumusunod ang pagbuo ng larawan sa iyong input. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Safety checking na nagbabalik ng mga itim na larawan kapalit ng mga larawang na-flag na unsafe. Pinapagana ng true ang checking; dini-disable ito ng false para lamang sa mga awtorisadong account, habang sinusuri pa rin ang mga kahilingang walang authorization. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png` | File format ng resultang larawan. |
| `pose_image_url` |  | string (image URL) | yes |  |  | URL na tumuturo sa larawan ng tao. |
| `person_image_url` |  | string (image URL) | yes |  |  | URL na tumuturo sa larawan ng damit. |

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} | Larawang ginawa bilang output. |
| `seed` | integer | Seed na ginagamit habang inference. |
| `has_nsfw_concepts` | boolean | Indicator ng mga konseptong NSFW sa loob ng larawan. |

## Related models

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## 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