LTX 2.5 Pro Text to Video
ইন্টিগ্রেট করুন
lightricks/ltx-2.5/text-to-video/pro
# 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/lightricks/ltx-2.5/text-to-video/pro?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "Slow aerial drone shot gliding over a turquoise glacier lagoon at sunrise, floating icebergs below, the camera tilts up to reveal snow-capped peaks and drifting clouds, smooth continuous motion, natural colors.",
"duration": 6,
"resolution": "720p",
"aspect_ratio": "16:9",
"generate_audio": false
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/lightricks/ltx-2.5/text-to-video/pro?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "Slow aerial drone shot gliding over a turquoise glacier lagoon at sunrise, floating icebergs below, the camera tilts up to reveal snow-capped peaks and drifting clouds, smooth continuous motion, natural colors.",
"duration": 6,
"resolution": "720p",
"aspect_ratio": "16:9",
"generate_audio": false
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "Slow aerial drone shot gliding over a turquoise glacier lagoon at sunrise, floating icebergs below, the camera tilts up to reveal snow-capped peaks and drifting clouds, smooth continuous motion, natural colors.",
"duration": 6,
"resolution": "720p",
"aspect_ratio": "16:9",
"generate_audio": False,
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/lightricks/ltx-2.5/text-to-video/pro", 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.ru/v1/mcp \
--header "Authorization: Bearer $DOITONG_API_KEY"
# 2. Your agent calls the "run" tool with:
{
"model_id": "lightricks/ltx-2.5/text-to-video/pro",
"input": {
"prompt": "Slow aerial drone shot gliding over a turquoise glacier lagoon at sunrise, floating icebergs below, the camera tilts up to reveal snow-capped peaks and drifting clouds, smooth continuous motion, natural colors.",
"duration": 6,
"resolution": "720p",
"aspect_ratio": "16:9",
"generate_audio": false
}
}
Doitong API-এর মাধ্যমে LTX 2.5 Pro Text to Video মডেল (lightricks/ltx-2.5/text-to-video/pro) কল করুন। এজেন্টদের জন্য ডকুমেন্টেশন: https://doitong.com/bn/developers/models/lightricks/ltx-2.5/text-to-video/pro.md
POST https://api.doitong.ru/v1/run/lightricks/ltx-2.5/text-to-video/pro?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"prompt": "Slow aerial drone shot gliding over a turquoise glacier lagoon at sunrise, floating icebergs below, the camera tilts up to reveal snow-capped peaks and drifting clouds, smooth continuous motion, natural colors.",
"duration": 6,
"resolution": "720p",
"aspect_ratio": "16:9",
"generate_audio": false
}
রেসপন্সের স্ট্যাটাস যদি "queued" বা "running" হয়, তাহলে এটি "succeeded" না হওয়া পর্যন্ত GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 পোল করুন; ফাইলগুলো outputs[].url-এ থাকে। রান করার আগেই সঠিক মূল্য জানতে একই বডি দিয়ে POST https://api.doitong.ru/v1/quote/lightricks/ltx-2.5/text-to-video/pro করুন।
এই অনুরোধ: ০.৭২$ ৭২০ API ক্রেডিট · ≈ ৭৭.৪৬₽ 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।
উদাহরণ
একটি অনুরোধ তৈরি করুন
মডেল স্কিমা থেকে কন্ট্রোল তৈরি করা হয়। এগুলো পরিবর্তন করলে কোড ও মূল্য আপডেট হয়।
/run/lightricks/ltx-2.5/text-to-video/pro?wait=20
মূল্য → ০.৭২$
# 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/lightricks/ltx-2.5/text-to-video/pro?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "Slow aerial drone shot gliding over a turquoise glacier lagoon at sunrise, floating icebergs below, the camera tilts up to reveal snow-capped peaks and drifting clouds, smooth continuous motion, natural colors.",
"duration": 6,
"resolution": "720p",
"aspect_ratio": "16:9",
"generate_audio": false
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/lightricks/ltx-2.5/text-to-video/pro?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "Slow aerial drone shot gliding over a turquoise glacier lagoon at sunrise, floating icebergs below, the camera tilts up to reveal snow-capped peaks and drifting clouds, smooth continuous motion, natural colors.",
"duration": 6,
"resolution": "720p",
"aspect_ratio": "16:9",
"generate_audio": false
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "Slow aerial drone shot gliding over a turquoise glacier lagoon at sunrise, floating icebergs below, the camera tilts up to reveal snow-capped peaks and drifting clouds, smooth continuous motion, natural colors.",
"duration": 6,
"resolution": "720p",
"aspect_ratio": "16:9",
"generate_audio": False,
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/lightricks/ltx-2.5/text-to-video/pro", 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": "lightricks/ltx-2.5/text-to-video/pro",
"input": {
"prompt": "Slow aerial drone shot gliding over a turquoise glacier lagoon at sunrise, floating icebergs below, the camera tilts up to reveal snow-capped peaks and drifting clouds, smooth continuous motion, natural colors.",
"duration": 6,
"resolution": "720p",
"aspect_ratio": "16:9",
"generate_audio": false
},
"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
LTX 2.5 Pro Text to Video সম্পর্কে
LTX 2.5 Pro জেনারেট করা অডিওসহ তীক্ষ্ণ 720p বা 1080p ভিডিও রেন্ডার করে এবং বর্ণনা না লিখে একটি নামযুক্ত ক্যামেরা মুভ (dolly in বা out, sideways dolly, jib up বা down, static, focus shift) বেছে নেওয়ার সুযোগ দেয়। 6, 8 বা 10 সেকেন্ড অথবা স্বয়ংক্রিয় দৈর্ঘ্য, 24, 25 বা 50 fps, ল্যান্ডস্কেপ বা পোর্ট্রেট।
প্যারামিটার
promptআবশ্যক
durationঐচ্ছিক
resolutionঐচ্ছিক
aspect_ratioঐচ্ছিক
fpsঐচ্ছিক
generate_audioঐচ্ছিক
camera_motionঐচ্ছিক
আউটপুট
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "lightricks/ltx-2.5/text-to-video/pro",
"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": 720,
"usd": "0.72",
"charged": 720,
"refunded": 0
},
"input": {
"prompt": "Through a sheer red veil, a bride smiles as marigold petals fall around her, warm evening light",
"duration": 6,
"resolution": "1080p",
"camera_motion": "dolly_in"
},
"output": {
"video": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
"content_type": "video/mp4",
"file_name": "0-output.mp4",
"file_size": 1843200,
"width": 1024,
"height": 768,
"fps": 1.0,
"duration": 5,
"num_frames": 1
}
},
"outputs": [
{
"type": "video",
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
"content_type": "video/mp4",
"file_size": 1843200,
"width": 1280,
"height": 720,
"duration": 5,
"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"
}
}
আউটপুটের ফিল্ড
- video
- object {url, content_type, file_name, file_size, width, height, fps, duration, num_frames}ফলাফল হিসেবে পাওয়া ভিডিও ফাইল।
অন্যান্য LTX 2.5 ভ্যারিয়েন্ট
আরও মডেল: টেক্সট থেকে ভিডিও
AI এজেন্টদের জন্য: এই পৃষ্ঠাটি Markdown হিসেবে এখানে আছে https://doitong.com/bn/developers/models/lightricks/ltx-2.5/text-to-video/pro.md. সব মডেল ও গাইড: https://doitong.com/developers/llms.txt