Bria RMBG 2.0
Integrasikan
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.com/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.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/bria/background/remove?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"image": "https://content.doitong.com/dev-api/2026/10/21/req_os2qhh70dksuutdlc8yxctru/0-eDHA2VbZQilztL9CLLj56_hjNDn2TY.png"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/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/ms/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": "bria/background/remove",
"input": {
"image": "https://content.doitong.com/dev-api/2026/10/21/req_os2qhh70dksuutdlc8yxctru/0-eDHA2VbZQilztL9CLLj56_hjNDn2TY.png"
}
}
Panggil model Bria RMBG 2.0 (bria/background/remove) melalui Doitong API. Dokumentasi untuk ejen: https://doitong.com/ms/developers/models/bria/background/remove.md
POST https://api.doitong.com/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"
}
Jika status respons ialah "queued" atau "running", tinjau GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 sehingga statusnya menjadi "succeeded"; fail berada dalam outputs[].url. POST https://api.doitong.com/v1/quote/bria/background/remove dengan badan yang sama mengembalikan harga tepat sebelum dijalankan.
Permintaan ini: $0.018 18 kredit API Jalankan pada halaman ini
Kunci API baharu anda. Ia hanya dipaparkan sekarang dan sudah dimasukkan dalam kod serta medan kunci API di bawah. Simpan secara rahsia: jangan sekali-kali letakkannya dalam kod yang berjalan dalam pelayar.
Contoh
Bina permintaan
Kawalan dijana daripada skema model. Kod dan harga dikemas kini apabila anda mengubahnya.
/run/bria/background/remove?wait=20
sebut harga → $0.018
# 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/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.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/bria/background/remove?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"image": "https://content.doitong.com/dev-api/2026/10/21/req_os2qhh70dksuutdlc8yxctru/0-eDHA2VbZQilztL9CLLj56_hjNDn2TY.png"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/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
}
}
}
Jalankan permintaan ini
Kunci anda kekal dalam pelayar ini: ia hanya dihantar kepada Doitong API dan disimpan (localStorage) hanya jika anda menanda Ingat. Dapatkan kunci API
Tentang Bria RMBG 2.0
Model pembuangan latar belakang Bria mengembalikan potongan telus dengan tepi lembut dan tepat di sekeliling rambut, bulu serta perincian produk halus, dilatih menggunakan data berlesen untuk kegunaan komersial. Satu imej masuk, satu potongan keluar, pada harga tetap bagi setiap imej.
Parameter
Hantar sama ada nama kanonik atau nama natif, bukan kedua-duanya. Nama kanonik
image_urldiperlukan
image
promptpilihan
Parameter fail menerima URL awam https://, URI data: sehingga 10 MB, atau file_url bagi muat naik. Fail
Output
{
"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.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
Medan output
- image
- object {url, content_type, file_name, file_size, width, height}Imej yang dihasilkan melalui penjanaan.
Varian Bria Rmbg lain
Lebih banyak model: Pembuangan Latar Belakang
Untuk ejen AI: halaman ini dalam Markdown tersedia di https://doitong.com/ms/developers/models/bria/background/remove.md. Semua model dan panduan: https://doitong.com/developers/llms.txt