Fibo Edit [Replace Object by Text]
ইন্টিগ্রেট করুন
bria/fibo-edit/replace_object_by_text
# 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/fibo-edit/replace_object_by_text?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"instruction": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/bria/fibo-edit/replace_object_by_text?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"instruction": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + 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/images/showcase/v3/gen_fox_cartoon.jpg",
"instruction": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/bria/fibo-edit/replace_object_by_text", 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/bn/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/fibo-edit/replace_object_by_text",
"input": {
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"instruction": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
}
Doitong API-এর মাধ্যমে Fibo Edit [Replace Object by Text] মডেল (bria/fibo-edit/replace_object_by_text) কল করুন। এজেন্টদের জন্য ডকুমেন্টেশন: https://doitong.com/bn/developers/models/bria/fibo-edit/replace_object_by_text.md
POST https://api.doitong.com/v1/run/bria/fibo-edit/replace_object_by_text?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"instruction": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
রেসপন্সের স্ট্যাটাস যদি "queued" বা "running" হয়, তাহলে এটি "succeeded" না হওয়া পর্যন্ত GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 পোল করুন; ফাইলগুলো outputs[].url-এ থাকে। রান করার আগেই সঠিক মূল্য জানতে একই বডি দিয়ে POST https://api.doitong.com/v1/quote/bria/fibo-edit/replace_object_by_text করুন।
এই অনুরোধ: ০.০৪$ ৪০ API ক্রেডিট এই পেজে চালান
আপনার নতুন API কী। এটি শুধু এখনই দেখানো হচ্ছে এবং এটি ইতিমধ্যে নিচের কোড ও API কী ফিল্ডে রয়েছে। এটি গোপন রাখুন: ব্রাউজারে চলা কোডে কখনো এটি রাখবেন না।
আপনার প্রথম ফলাফল এখানে আসবে
নিচে একটি রিকোয়েস্ট তৈরি করে আপনার API কী দিয়ে চালান। আউটপুট আমাদের স্টোরেজে কপি করা হয়, চিরকাল বা বিনামূল্যে ৭ দিন পর্যন্ত রাখা হয়।
একটি অনুরোধ তৈরি করুন
মডেল স্কিমা থেকে কন্ট্রোল তৈরি করা হয়। এগুলো পরিবর্তন করলে কোড ও মূল্য আপডেট হয়।
/run/bria/fibo-edit/replace_object_by_text?wait=20
মূল্য → ০.০৪$
# 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/fibo-edit/replace_object_by_text?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"instruction": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/bria/fibo-edit/replace_object_by_text?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"instruction": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + 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/images/showcase/v3/gen_fox_cartoon.jpg",
"instruction": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/bria/fibo-edit/replace_object_by_text", 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/fibo-edit/replace_object_by_text",
"input": {
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"instruction": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
},
"wait_seconds": 20
}
}
}
এই অনুরোধ চালান
আপনার key এই ব্রাউজারেই থাকে: এটি শুধু Doitong API-তে পাঠানো হয় এবং Remember টিক দিলে কেবল localStorage-এ সংরক্ষিত হয়। একটি API কী পান
Fibo Edit [Replace Object by Text] সম্পর্কে
ছবির বিদ্যমান কোনো উপাদান প্রতিস্থাপন করে। সোর্স `image_url` এবং কী প্রতিস্থাপন করে কী করা উচিত তা উল্লেখ করা `instruction` পাঠান। ফলাফলটি এডিট করা ছবি এবং যে VGL ডকুমেন্ট থেকে এটি এসেছে—দুটিসহ ফেরত দেওয়া হয়।
প্যারামিটার
ক্যানোনিকাল নাম অথবা নেটিভ নাম—দুটো একসঙ্গে নয়—পাঠান। ক্যানোনিকাল নামগুলো
image_urlআবশ্যক
image
instructionআবশ্যক
ফাইল প্যারামিটার হিসেবে একটি পাবলিক https:// URL, 10 MB পর্যন্ত একটি data: URI, অথবা আপলোডের file_url গ্রহণ করা হয়। ফাইল
আউটপুট
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "bria/fibo-edit/replace_object_by_text",
"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_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"instruction": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
},
"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
},
"images": [
{
"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
}
],
"vgl": {},
"structured_instruction": {}
},
"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"
}
}
আউটপুটের ফিল্ড
- image
- object {url, content_type, file_name, file_size, width, height}মডেল দ্বারা তৈরি ছবি।
- images
- array of object {url, content_type, file_name, file_size, width, height}জেনারেশনের মাধ্যমে তৈরি ছবিগুলো।
- vgl
- objectছবি জেনারেট করতে ব্যবহৃত VGL নথি।
- structured_instruction
- objectএকই নথির অবচিত উপনাম; পরিবর্তে `vgl` ব্যবহার করুন।
অন্যান্য Fibo Edit ভ্যারিয়েন্ট
আরও মডেল: ছবি সম্পাদনা
AI এজেন্টদের জন্য: এই পৃষ্ঠাটি Markdown হিসেবে এখানে আছে https://doitong.com/bn/developers/models/bria/fibo-edit/replace_object_by_text.md. সব মডেল ও গাইড: https://doitong.com/developers/llms.txt






