Bria Product Dimensions
ᠵᡠᠸᡝᠪᡠᠮᠪᡳ
bria/product-dimensions
# 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/product-dimensions?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"image": "example",
"dimensions": [
{
"name": "height",
"position": "left",
"unit": "cm",
"value": 22
},
{
"name": "width_bottom",
"position": "bottom",
"unit": "cm",
"value": 7
}
],
"style": "default"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/bria/product-dimensions?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"image": "example",
"dimensions": [
{
"name": "height",
"position": "left",
"unit": "cm",
"value": 22
},
{
"name": "width_bottom",
"position": "bottom",
"unit": "cm",
"value": 7
}
],
"style": "default"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"image": "example",
"dimensions": [
{
"name": "height",
"position": "left",
"unit": "cm",
"value": 22,
},
{
"name": "width_bottom",
"position": "bottom",
"unit": "cm",
"value": 7,
},
],
"style": "default",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/bria/product-dimensions", 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/mnc/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/product-dimensions",
"input": {
"image": "example",
"dimensions": [
{
"name": "height",
"position": "left",
"unit": "cm",
"value": 22
},
{
"name": "width_bottom",
"position": "bottom",
"unit": "cm",
"value": 7
}
],
"style": "default"
}
}
Bria Product Dimensions ᠮᠣᠳᡝᠯ (bria/product-dimensions) ᠪᡝ Doitong API ᠵᠠᠯᡳᠨᡩᡝ ᠠᠰᡠᠮᠪᡳ. ᠠᡤᡝᠨᡨᡳ ᡩᠠᡳᠯᠠᠨ: https://doitong.com/mnc/developers/models/bria/product-dimensions.md
POST https://api.doitong.com/v1/run/bria/product-dimensions?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"image": "example",
"dimensions": [
{
"name": "height",
"position": "left",
"unit": "cm",
"value": 22
},
{
"name": "width_bottom",
"position": "bottom",
"unit": "cm",
"value": 7
}
],
"style": "default"
}
ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝᠨᡳ ᠠᠨᠠᠮᡝ "queued" ᡳᠨᡠ "running" ᠪᡝ, GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 ᠪᡝ ᠠᠨᠠᠮᡝ "succeeded" ᠪᡝᠴᡳ ᠠᠰᡠᠮᠪᡳ; ᡶᡳᠯᡝ ᠪᡝ outputs[].url ᠪᡝᠴᡳ ᠣᠨᡩᠣᠮᡝ. POST https://api.doitong.com/v1/quote/bria/product-dimensions ᠪᡝ ᡝᠮᡠ ᠪᡠᠶᡝᠮᡝ ᠪᡝ ᠠᠰᡠᠮᠪᡳᡩᡝ ᠵᠠᠯᡤᠠᠨ ᠪᡝ ᠶᠠᠪᡠᠮᠪᡳ ᠰᡳᠨᡳ ᠠᠮᡤᠠ ᠠᠰᡠᠮᠪᡳ ᠣᠯᡥᠣᠮᡝ.
ᡝᠨᡳ ᠵᠠᠯᡳᠨ: $0.04 40 API ᠺᠷᡝᡩᡳᠲ ᡝᡵᡝ ᠵᠠᠯᡳᠨᡩᡝ ᠠᠰᡠᠮᠪᡳ
ᠰᡳᠨᡳ ᠵᠠᠮᡠᠰᡳᠨ API ᠵᡳᡵᡤᠠ. ᡝᠯᡝ ᡝᠨᡩᡝ ᡳᠯᡤᠠᠮᠪᡳ ᡝᡵᡝ ᠮᡠᠨᡩᡝ ᡴᠣᡩᡝ ᡩᠠᠮᡠ ᠮᡝᠨᡩᡝᡵᡝ ᠪᠠᡩᡝᠯᡝᠨ ᠠᠮᡪᡳ ᡳᠨᡠ API ᠵᡳᡵᡤᠠ ᡩᡝᠪᡨᡝᡵᡝ ᡩᡝ ᠠᡴᡠ᠉ ᡳᠨᡠ ᡝᡵᡝᠩᡤᡝ ᠠᠮᠪᠠᠨ ᠮᡠᠨᡩᡝ ᠪᡝ ᠠᠰᡠᡵᠠᠮᠪᡳ: ᠮᡠᡵᡝ ᡩᠠᠮᡠ ᠪᡠᠶᡝᡵᡝ ᠪᠠᡩᡝᠯᡝᠨ ᡩᡝ ᠰᡳᠨᡩᡝᠮᡝ ᠠᠪᡠᠮᡝ ᠰᠠᠮᡪᡳ᠉
ᡳᠨᡝ ᡝᠮᡠᠨᡳᠩᡤᡝ ᡝᡵᡝᠮᡝ ᡩᡝ
ᡝᡵᡝ ᠵᡠᠯᡝᠨ ᡩᡝ ᡤᡝᡪᡳᠯᡝᠨ ᠪᠠᠶᠠᠨᠠᠮᡝ ᠠᠮᡪᠠᠯᠠ ᡶᡳᠯᡝᠮᡝ ᠪᡝᠶᡝᠮᡝ᠃ API ᠵᡳᡵᡤᠠᡳ ᡤᠠᡳᡥᠠᡩᡝ ᡤᡝᡪᡳᠯᡝᠨ ᠵᠠᠯᠠᠨᠠᠮᡝ ᠪᡠᠶᡝᠮᡝ ᠮᡠᠰᡝᡳ ᠰᡠᠯᡠᠨᡩᡝ ᠪᠠᠶᠠᠨᠠᠮᡝ᠂ ᠮᡤᡳ ᠮᡠᠰᡝ ᠠᠶᠠᠨ 7 ᡥᠠᠨ ᠰᠠᡳᠨᠠᠮᡝ᠃
ᡤᡳᠰᡠᠨ ᠪᡠᠶᡝᠮᡝ
ᠵᠠᡴᡠᠨᡳ ᠵᡠᠯᡝ ᡩᡝᡵᡤᡳ ᡩᡝᠪᡝᠰᡠᠮᡝ ᠵᡠᠯᡤᡝ ᠪᡠᠶᡝᠮᡝ᠈ ᡳᠨᡳ ᡤᡳᠰᡠᠨ ᠪᠠᡳ ᡝᠨᡝᠩᡤᡳ ᠠᠮᠪᡳ
/run/bria/product-dimensions?wait=20
ᠵᠠᠯᡳᠨ → $0.04
# 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/product-dimensions?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"image": "example",
"dimensions": [
{
"name": "height",
"position": "left",
"unit": "cm",
"value": 22
},
{
"name": "width_bottom",
"position": "bottom",
"unit": "cm",
"value": 7
}
],
"style": "default"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/bria/product-dimensions?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"image": "example",
"dimensions": [
{
"name": "height",
"position": "left",
"unit": "cm",
"value": 22
},
{
"name": "width_bottom",
"position": "bottom",
"unit": "cm",
"value": 7
}
],
"style": "default"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"image": "example",
"dimensions": [
{
"name": "height",
"position": "left",
"unit": "cm",
"value": 22,
},
{
"name": "width_bottom",
"position": "bottom",
"unit": "cm",
"value": 7,
},
],
"style": "default",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/bria/product-dimensions", 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/product-dimensions",
"input": {
"image": "example",
"dimensions": [
{
"name": "height",
"position": "left",
"unit": "cm",
"value": 22
},
{
"name": "width_bottom",
"position": "bottom",
"unit": "cm",
"value": 7
}
],
"style": "default"
},
"wait_seconds": 20
}
}
}
ᡝᠨᡳ ᠵᠠᠯᡳᠨ ᠪᡝ ᠵᠠᠯᠠᠨᠠᠮᡝ
ᡳᠨᡝ ᠵᠠᠯᠠᠨ ᡝᡵᡝ ᠪᡠᡵᡝᠪᡝᡵᡳ ᡩᡝ ᠪᡳᠮᡝ᠈ Doitong API ᡩᡝ ᠵᡝᠯᡤᡳ ᡩᠠᡵᠠᠮᡝ᠈ Remember ᠵᡠᠯᡝᠮᡝ ᡤᡳᠯᠠᠮᡝ localStorage ᡩᡝ ᠰᡠᠯᡝᠮᡝ ᠪᡳᠮᡝ API ᠵᠠᠯᠠᠨ ᠠᠪᠠᠮᡝ
Bria Product Dimensions ᡠᡵᡝᠮᡝ
ᠵᠠᠯᠠᠨ ᡳ `image` ᠪᡝ ᠠᠰᡠᠮᠪᡳ᠂ `dimensions` ᡳ ᡝᠮᡠ ᠨᠠᠩᡤᡳ ᡴᠠᠮᠪᡳ᠂ ᠵᠠᠯᠠᠨ ᡳ ᡝᠵᡝᠨ ᡩᠠᠯᠵᡳᠨ ᠪᡝ ᠪᡝᠯᡥᡝᠮᠪᡳ᠃ `style` ᠪᡝ ᠰᠣᠩᡤᠣᠮᠪᡳ᠂ `title` 80 ᠵᡠᠰᡠᠨ ᠰᠠᠮᡴᠠᠨ᠂ ᠮᡠᠶᠠᡥᠠᠨ ᡳ ᠪᠣᠶᠣᠨ᠂ ᠵᠠᠰᠠᠨ ᡳ ᡤᠠᠯᠠ᠂ ᠵᡠᠯᡤᠠᠨ ᡳ `output_size` 256 ᡶᠠᠴᡳ 2200 ᠫᡳᠺᠰᡝᠯ᠃ ᡠᠯᡤᠠᠨ png᠂ jpeg ᡳᠨᡠ ᠰᡳᠯᡤᠠᠨ ᡳ ᡶᠠᠨᠠᠮᠪᡳ᠃
ᠵᠠᡴᡠᠨ
title_positionᠵᡠᠯᡝ
proportional_linesᠵᡠᠯᡝ
syncᠵᡠᠯᡝ
imageᡴᠠᠷᠠᡴᡡ
dimensionsᡴᠠᠷᠠᡴᡡ
dimensions[].nameᡴᠠᠷᠠᡴᡡ
dimensions[].valueᡴᠠᠷᠠᡴᡡ
dimensions[].unitᡴᠠᠷᠠᡴᡡ
dimensions[].positionᠵᡠᠯᡝ
styleᡴᠠᠷᠠᡴᡡ
titleᠵᡠᠯᡝ
output_sizeᠵᡠᠯᡝ
output_formatᠵᡠᠯᡝ
backgroundᠵᡠᠯᡝ
units_displayᠵᡠᠯᡝ
weightᠵᡠᠯᡝ
weight.valueᡴᠠᠷᠠᡴᡡ
weight.unitᡴᠠᠷᠠᡴᡡ
weight.labelᠵᡠᠯᡝ
capacityᠵᡠᠯᡝ
capacity.valueᡴᠠᠷᠠᡴᡡ
capacity.unitᡴᠠᠷᠠᡴᡡ
ᠪᡠᠶᡝᠮᡝ
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "bria/product-dimensions",
"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": 40,
"usd": "0.04",
"charged": 40,
"refunded": 0
},
"input": {
"image": "example",
"dimensions": [
{
"name": "height",
"position": "left",
"unit": "cm",
"value": 22
},
{
"name": "width_bottom",
"position": "bottom",
"unit": "cm",
"value": 7
}
],
"style": "default"
},
"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
},
"transparent_overlay": {
"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"
}
}
ᠪᡠᠶᡝᠮᡝᠨᡳ ᡤᡳᠰᡠᠨ
- image
- object {url, content_type, file_name, file_size, width, height}ᠵᠠᠯᠠᠨ ᡳ ᠵᠠᠯᠠᠨ ᠪᡝ ᠪᡳᠰᡳᡵᡝ ᡤᠠᠳᠠᠨ.
- transparent_overlay
- object {url, content_type, file_name, file_size, width, height} | nullᠵᡝᠯᡝᠨ ᠪᡠᠶᡝᠮᡝᡵᡝ ᠵᠠᠯᠠᠨ; output_format ᡩᡝ dual ᠪᡳᠮᠪᡳᠴᡳ ᡝᠮᡝ ᠵᡳᠶᠠᠨ.
ᡝᠯᡤᡳ Bria ᡠᠯᡤᡳᠨ
ᡝᠯᡤᡳ ᡩᠠᠯᡳᠨ: ᡤᠠᠳᠠᠨ ᠵᠠᠰᡳᠨ
AI ᠠᡤᡝᠨᡨᡳ ᡠᠴᡠᠷᡳ᠈ ᡝᡵᡝ ᡩᡝᠪᡝᡵᡳ Markdown ᠰᡳᠨᡩᠠᡵᡳ https://doitong.com/mnc/developers/models/bria/product-dimensions.md. ᡝᡵᡝ ᠮᠣᡩᡝᠯ ᠵᠠᡴᡠᠨ ᠰᡠᠯᡠᠮᡝ https://doitong.com/developers/llms.txt






