LTX 2.5 Pro Text to Video
Entegre et
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/tr/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 modelini (lightricks/ltx-2.5/text-to-video/pro) Doitong API üzerinden çağırın. Ajanlar için belgeler: https://doitong.com/tr/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
}
Yanıt durumu "queued" veya "running" ise, durum "succeeded" olana kadar GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 ile yoklayın; dosyalar outputs[].url içindedir. Aynı gövdeyle POST https://api.doitong.ru/v1/quote/lightricks/ltx-2.5/text-to-video/pro, çalıştırmadan önce kesin fiyatı döndürür.
Bu istek: $0,72 720 API kredisi · ≈ ₽77,46 Bu sayfada çalıştır
Yeni API anahtarınız. Yalnızca şimdi gösterilir ve zaten aşağıdaki kodda ve API anahtarı alanında bulunur. Gizli tutun: tarayıcıda çalışan kodlara asla eklemeyin.
Örnekler
İstek oluştur
Kontroller model şemasından oluşturulur. Değerleri değiştirdikçe kod ve fiyat güncellenir.
/run/lightricks/ltx-2.5/text-to-video/pro?wait=20
fiyat → $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
}
}
}
Bu isteği çalıştır
Anahtarınız bu tarayıcıda kalır: yalnızca Doitong API'ye gönderilir ve yalnızca Hatırla seçeneğini işaretlerseniz localStorage'a kaydedilir. API anahtarı al
LTX 2.5 Pro Text to Video hakkında
LTX 2.5 Pro, üretilen sesle net 720p veya 1080p video oluşturur ve hareketi açıklamak yerine adlandırılmış bir kamera hareketi (dolly in veya out, sideways dolly, jib up veya down, static, focus shift) seçmenize olanak tanır. 6, 8 veya 10 saniye ya da otomatik uzunluk, 24, 25 veya 50 fps, yatay veya dikey.
Parametreler
promptgerekli
durationisteğe bağlı
resolutionisteğe bağlı
aspect_ratioisteğe bağlı
fpsisteğe bağlı
generate_audioisteğe bağlı
camera_motionisteğe bağlı
Çıktı
{
"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"
}
}
Çıktı alanları
- video
- object {url, content_type, file_name, file_size, width, height, fps, duration, num_frames}Ortaya çıkan video dosyası.
Diğer LTX 2.5 varyantları
Daha fazla model: Metinden Videoya
AI aracıları için: bu sayfanın Markdown biçimi şurada: https://doitong.com/tr/developers/models/lightricks/ltx-2.5/text-to-video/pro.md. Tüm modeller ve kılavuzlar: https://doitong.com/developers/llms.txt