Bria RMBG 2.0
Integrieren
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/de/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"
}
}
Rufe das Modell Bria RMBG 2.0 (bria/background/remove) über die Doitong API auf. Dokumentation für Agenten: https://doitong.com/de/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"
}
Wenn der Antwortstatus "queued" oder "running" lautet, frage GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 ab, bis er "succeeded" lautet; die Dateien befinden sich in outputs[].url. POST https://api.doitong.ru/v1/quote/bria/background/remove mit demselben Body gibt den exakten Preis vor der Ausführung zurück.
Diese Anfrage: 0,018 $ 18 API-Credits · ≈ 1,92 ₽ Auf dieser Seite ausführen
Dein neuer API-Schlüssel. Sie wird nur jetzt angezeigt und befindet sich bereits im Code und im untenstehenden API-Schlüssel-Feld. Halten Sie sie geheim: Fügen Sie sie niemals in Code ein, der in einem Browser ausgeführt wird.
Beispiele
Anfrage erstellen
Die Steuerelemente werden aus dem Modellschema generiert. Code und Preis werden aktualisiert, während du sie änderst.
/run/bria/background/remove?wait=20
Preis → 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
}
}
}
Diese Anfrage ausführen
Dein Schlüssel bleibt in diesem Browser: Er wird nur an die Doitong API gesendet und nur gespeichert (localStorage), wenn du „Merken“ aktivierst. API-Schlüssel abrufen
Über Bria RMBG 2.0
Bria's Modell zur Hintergrundentfernung gibt einen transparenten Freisteller mit weichen, präzisen Kanten um Haare, Fell und feine Produktdetails zurück. Es wurde mit lizenzierten Daten für die kommerzielle Nutzung trainiert. Ein Bild hinein, ein Freisteller heraus, zu einem festen Preis pro Bild.
Parameter
Sende entweder den kanonischen Namen oder den nativen Namen, nicht beide. Kanonische Namen
image_urlerforderlich
image
promptoptional
Dateiparameter akzeptieren eine öffentliche https://-URL, eine data:-URI bis 10 MB oder die file_url eines Uploads. Dateien
Ausgabe
{
"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"
}
}
Ausgabefelder
- image
- object {url, content_type, file_name, file_size, width, height}Durch Generierung erzeugtes Bild.
Weitere Bria Rmbg-Varianten
Weitere Modelle: Hintergrundentfernung
Für KI-Agenten: Diese Seite ist als Markdown verfügbar unter https://doitong.com/de/developers/models/bria/background/remove.md. Alle Modelle und Anleitungen: https://doitong.com/developers/llms.txt