LTX 2.5 Pro Text to Video
Интеграциялау
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/kk/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
}
}
LTX 2.5 Pro Text to Video моделін (lightricks/ltx-2.5/text-to-video/pro) Doitong API арқылы шақырыңыз. Агенттерге арналған құжаттама: https://doitong.com/kk/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
}
Жауап күйі "queued" немесе "running" болса, ол "succeeded" болғанша GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 арқылы күйін тексеріңіз; файлдар outputs[].url ішінде болады. Дәл іске қосу бағасын алдын ала алу үшін POST https://api.doitong.ru/v1/quote/lightricks/ltx-2.5/text-to-video/pro сұрауын сол денемен жіберіңіз.
Осы сұрау: 0,72 $ 720 API кредиті · ≈ 77,46 ₽ Осы бетте іске қосу
Жаңа API кілтіңіз. Ол тек қазір көрсетіледі және кодта, сондай-ақ төмендегі API кілті өрісінде бар. Оны құпия сақтаңыз: браузерде орындалатын кодқа ешқашан енгізбеңіз.
Мысалдар
Сұрау жасау
Басқару элементтері модель схемасынан жасалады. Оларды өзгерткен сайын код пен баға жаңартылады.
/run/lightricks/ltx-2.5/text-to-video/pro?wait=20
бағасы → 0,72 $
# 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
}
}
}
Осы сұрауды іске қосу
Кілтіңіз осы браузерде қалады: ол тек Doitong API-ге жіберіледі және Remember параметрін белгілеcеңіз ғана localStorage ішінде сақталады. API кілтін алу
LTX 2.5 Pro Text to Video туралы
LTX 2.5 Pro жасалған аудиосы бар анық 720p немесе 1080p бейне рендерлейді және сипаттаудың орнына атауы бар камера қозғалысын (жақындау немесе алыстау, бүйірлік қозғалыс, жоғары немесе төмен jib, статикалық режим, фокус ауысуы) таңдауға мүмкіндік береді. 6, 8 немесе 10 секунд не автоматты ұзындық, 24, 25 немесе 50 fps, көлденең немесе тік формат.
Параметрлер
promptміндетті
durationміндетті емес
resolutionміндетті емес
aspect_ratioміндетті емес
fpsміндетті емес
generate_audioміндетті емес
camera_motionміндетті емес
Шығыс
{
"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"
}
}
Шығыс өрістері
- video
- object {url, content_type, file_name, file_size, width, height, fps, duration, num_frames}Нәтижелік бейне файлы.
LTX 2.5 модельдерінің басқа нұсқалары
Қосымша модельдер: Мәтіннен бейнеге
AI агенттеріне: бұл беттің Markdown нұсқасы мына жерде: https://doitong.com/kk/developers/models/lightricks/ltx-2.5/text-to-video/pro.md. Барлық модельдер мен нұсқаулықтар: https://doitong.com/developers/llms.txt