LTX 2.5 Pro Text to Video
통합
모델 id
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/ko/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 API를 통해 LTX 2.5 Pro Text to Video 모델(lightricks/ltx-2.5/text-to-video/pro)을 호출합니다. 에이전트용 문서: https://doitong.com/ko/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
}
응답 상태가 "queued" 또는 "running"이면 "succeeded"가 될 때까지 GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20을 폴링하세요. 파일은 outputs[].url에 있습니다. POST https://api.doitong.ru/v1/quote/lightricks/ltx-2.5/text-to-video/pro에 동일한 본문을 보내면 실행 전에 정확한 가격을 반환합니다.
이 요청: $0.72 720 API 크레딧 · ≈ ₽77.46 이 페이지에서 실행
새 API 키입니다. 지금만 표시되며 이미 아래 코드와 API 키 필드에 입력되어 있습니다. 안전하게 보관하세요. 브라우저에서 실행되는 코드에 절대 넣지 마세요.
예시
요청 만들기
컨트롤은 모델 스키마에서 생성됩니다. 값을 변경하면 코드와 가격이 업데이트됩니다.
POST
/run/lightricks/ltx-2.5/text-to-video/pro?wait=20
견적 → $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
}
}
}
LTX 2.5 Pro Text to Video 정보
LTX 2.5 Pro는 생성 오디오와 함께 선명한 720p 또는 1080p 동영상을 렌더링하며, 카메라 이동을 직접 설명하는 대신 이름이 지정된 카메라 이동 (dolly in 또는 out, sideways dolly, jib up 또는 down, static, focus shift)을 선택할 수 있습니다. 6, 8 또는 10 초 또는 자동 길이, 24, 25 또는 50 fps, 가로 또는 세로를 지원합니다.
매개변수
이름유형
기본값허용됨
설명
prompt필수
유형string
≤ 5,000자
동영상 생성을 안내하는 프롬프트입니다.
duration선택 사항
유형enum
기본값auto
6810auto
동영상 길이 선택입니다. 초 단위로 지정하거나 모델이 결정하도록 'auto'를 선택합니다. 최대 길이는 10초입니다.
resolution선택 사항
유형enum
기본값1080p
720p1080p
출력 동영상에 사용되는 해상도입니다.
aspect_ratio선택 사항
유형enum
기본값16:9
16:99:16
출력 동영상의 가로세로 비율입니다.
fps선택 사항
유형enum
기본값25
242550
초당 프레임 수로 측정되는 출력 동영상 프레임 속도입니다.
generate_audio선택 사항
유형boolean
기본값true
출력 동영상의 오디오 생성 토글입니다.
camera_motion선택 사항
유형enum
dolly_indolly_outdolly_leftdolly_rightjib_upjib_downstaticfocus_shift
출력 동영상의 선택적 카메라 움직임입니다.
필수
출력
GET /requests/req_8k2m4q7x1z9c3v5b6n0p2r4t
{
"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"
}
}
파일 보관 방식 선택모든 outputs[].url은 스토리지에 저장된 복사본입니다. 계정 설정 또는 ?storage=에 따라 영구 보관(GB-월 단위 과금)하거나 7일 동안 무료로 보관합니다.
모든 모델에서 동일한 구조이미지, 동영상, 오디오 모두 type, url, content_type, width, height 및 duration을 사용합니다. output은 모델 자체의 결과 객체입니다.
출력 필드
- video
- object {url, content_type, file_name, file_size, width, height, fps, duration, num_frames}결과 동영상 파일입니다.
다른 LTX 2.5 변형
더 많은 모델: 텍스트를 동영상으로
AI 에이전트용: 이 페이지의 Markdown 버전: https://doitong.com/ko/developers/models/lightricks/ltx-2.5/text-to-video/pro.md. 모든 모델 및 가이드: https://doitong.com/developers/llms.txt