Bria RMBG 2.0
Integrar
bria/background/remove
# 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/bria/background/remove?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"image": "https://content.doitong.com/dev-api/2026/10/21/req_os2qhh70dksuutdlc8yxctru/0-eDHA2VbZQilztL9CLLj56_hjNDn2TY.png"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/bria/background/remove?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"image": "https://content.doitong.com/dev-api/2026/10/21/req_os2qhh70dksuutdlc8yxctru/0-eDHA2VbZQilztL9CLLj56_hjNDn2TY.png"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"image": "https://content.doitong.com/dev-api/2026/10/21/req_os2qhh70dksuutdlc8yxctru/0-eDHA2VbZQilztL9CLLj56_hjNDn2TY.png",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/bria/background/remove", 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-ES/developers/docs/mcp)
claude mcp add --transport http doitong-models https://api.doitong.ru/v1/mcp \
--header "Authorization: Bearer $DOITONG_API_KEY"
# 2. Your agent calls the "run" tool with:
{
"model_id": "bria/background/remove",
"input": {
"image": "https://content.doitong.com/dev-api/2026/10/21/req_os2qhh70dksuutdlc8yxctru/0-eDHA2VbZQilztL9CLLj56_hjNDn2TY.png"
}
}
Llama al modelo Bria RMBG 2.0 (bria/background/remove) a través de Doitong API. Documentación para agentes: https://doitong.com/es-ES/developers/models/bria/background/remove.md
POST https://api.doitong.ru/v1/run/bria/background/remove?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"image": "https://content.doitong.com/dev-api/2026/10/21/req_os2qhh70dksuutdlc8yxctru/0-eDHA2VbZQilztL9CLLj56_hjNDn2TY.png"
}
Si el estado de la respuesta es "queued" o "running", consulta GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 hasta que sea "succeeded"; los archivos están en outputs[].url. POST https://api.doitong.ru/v1/quote/bria/background/remove con el mismo cuerpo devuelve el precio exacto antes de la ejecución.
Esta solicitud: 0,018 $ 18 créditos de API · ≈ 1,92 ₽ Ejecutar en esta página
Tu nueva clave de API. Solo se muestra ahora y ya está incluida 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.
Ejemplos
Crear una solicitud
Los controles se generan a partir del esquema del modelo. El código y el precio se actualizan al modificarlos.
/run/bria/background/remove?wait=20
presupuesto → 0,018 $
# 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/bria/background/remove?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"image": "https://content.doitong.com/dev-api/2026/10/21/req_os2qhh70dksuutdlc8yxctru/0-eDHA2VbZQilztL9CLLj56_hjNDn2TY.png"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/bria/background/remove?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"image": "https://content.doitong.com/dev-api/2026/10/21/req_os2qhh70dksuutdlc8yxctru/0-eDHA2VbZQilztL9CLLj56_hjNDn2TY.png"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"image": "https://content.doitong.com/dev-api/2026/10/21/req_os2qhh70dksuutdlc8yxctru/0-eDHA2VbZQilztL9CLLj56_hjNDn2TY.png",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/bria/background/remove", 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": "bria/background/remove",
"input": {
"image": "https://content.doitong.com/dev-api/2026/10/21/req_os2qhh70dksuutdlc8yxctru/0-eDHA2VbZQilztL9CLLj56_hjNDn2TY.png"
},
"wait_seconds": 20
}
}
}
Ejecutar esta solicitud
Tu clave permanece en este navegador: solo se envía a la Doitong API y solo se guarda en localStorage si marcas Recordar. Obtener una clave de API
Acerca de Bria RMBG 2.0
El modelo de eliminación de fondos de Bria devuelve un recorte transparente con bordes suaves y precisos alrededor del pelo, el pelaje y los detalles finos de los productos, entrenado con datos licenciados para uso comercial. Una imagen de entrada, un recorte de salida, a un precio fijo por imagen.
Parámetros
Envía el nombre canónico o el nombre nativo, pero no ambos. Nombres canónicos
image_urlobligatorio
image
promptopcional
Los parámetros de archivo aceptan una URL pública https://, un URI data: de hasta 10 MB o el file_url de una subida. Archivos
Salida
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "bria/background/remove",
"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": 18,
"usd": "0.018",
"charged": 18,
"refunded": 0
},
"input": {
"image": "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.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
}
},
"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"
}
}
Campos de salida
- image
- object {url, content_type, file_name, file_size, width, height}Imagen producida mediante generación.
Otras variantes de Bria Rmbg
Más modelos: Eliminación de fondos
Para agentes de IA: esta página en Markdown está en https://doitong.com/es-ES/developers/models/bria/background/remove.md. Todos los modelos y guías: https://doitong.com/developers/llms.txt