Leffa Pose Transfer
Integrar
leffa/pose-transfer
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/leffa/pose-transfer?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"pose_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"person_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
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"])
# 1. Connect once (Claude Code; Cursor, VS Code, Claude Desktop: https://doitong.com/es-MX/developers/docs/mcp)
claude mcp add --transport http doitong-models https://api.doitong.com/v1/mcp \
--header "Authorization: Bearer $DOITONG_API_KEY"
# 2. Your agent calls the "run" tool with:
{
"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"
}
}
Llama al modelo Leffa Pose Transfer (leffa/pose-transfer) mediante Doitong API. Documentación para agentes: https://doitong.com/es-MX/developers/models/leffa/pose-transfer.md
POST https://api.doitong.com/v1/run/leffa/pose-transfer?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/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"
}
Si el estado de la respuesta es "queued" o "running", consulta GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 hasta que sea "succeeded"; los archivos están en outputs[].url. POST https://api.doitong.com/v1/quote/leffa/pose-transfer con el mismo cuerpo devuelve el precio exacto antes de la ejecución.
Esta solicitud: $0.10 100 créditos de API Ejecutar en esta página
Tu nueva clave de API. Solo se muestra ahora y ya está en el código y en el campo de clave de API de abajo. Mantenla en secreto: nunca la incluyas en código que se ejecute en un navegador.
Tu primer resultado aparecerá aquí
Crea una solicitud abajo y ejecútala con tu clave de API. Las salidas se copian en nuestro almacenamiento, donde se conservan para siempre o 7 días gratis.
Crear una solicitud
Los controles se generan a partir del esquema del modelo. El código y el precio se actualizan conforme los cambias.
/run/leffa/pose-transfer?wait=20
cotización → $0.10
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/leffa/pose-transfer?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"pose_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"person_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
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"])
{
"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
}
}
}
Ejecutar esta solicitud
Tu clave permanece en este navegador: solo se envía a la Doitong API y se guarda en localStorage únicamente si marcas Recordar. Obtener una clave de API
Acerca de Leffa Pose Transfer
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.
Parámetros
num_inference_stepsopcional
seedopcional
guidance_scaleopcional
enable_safety_checkeropcional
output_formatopcional
pose_image_urlobligatorio
person_image_urlobligatorio
Los parámetros de archivo aceptan una URL pública https://, un URI data: de hasta 10 MB o el file_url de una carga. Archivos
Salida
{
"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"
}
}
Campos de salida
- image
- object {url, content_type, file_name, file_size, width, height}Imagen producida como salida.
- seed
- integerSemilla utilizada durante la inferencia.
- has_nsfw_concepts
- booleanIndicador de conceptos NSFW presentes en la imagen.
Otras variantes de Leffa
Más modelos: Edición de imágenes
Para agentes de IA: esta página en Markdown está disponible en https://doitong.com/es-MX/developers/models/leffa/pose-transfer.md. Todos los modelos y guías: https://doitong.com/developers/llms.txt






