LTX 2.5 Pro Image to Video
ਇੰਟੀਗ੍ਰੇਟ ਕਰੋ
lightricks/ltx-2.5/image-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/image-to-video/pro?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"image": "https://content.doitong.com/dev-api/2026/10/21/req_m47cpdni6njc4mezryvt9kg2/0-fUu2PV5voQYZjKUW9sc_1_qYL5cs4B.png",
"prompt": "The camera glides forward and slowly tilts up toward the peaks, icebergs drift gently, clouds move across the sky and the morning light grows brighter.",
"duration": 6,
"resolution": "720p",
"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 $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/lightricks/ltx-2.5/image-to-video/pro?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"image": "https://content.doitong.com/dev-api/2026/10/21/req_m47cpdni6njc4mezryvt9kg2/0-fUu2PV5voQYZjKUW9sc_1_qYL5cs4B.png",
"prompt": "The camera glides forward and slowly tilts up toward the peaks, icebergs drift gently, clouds move across the sky and the morning light grows brighter.",
"duration": 6,
"resolution": "720p",
"generate_audio": false
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"image": "https://content.doitong.com/dev-api/2026/10/21/req_m47cpdni6njc4mezryvt9kg2/0-fUu2PV5voQYZjKUW9sc_1_qYL5cs4B.png",
"prompt": "The camera glides forward and slowly tilts up toward the peaks, icebergs drift gently, clouds move across the sky and the morning light grows brighter.",
"duration": 6,
"resolution": "720p",
"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/image-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/pa/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/image-to-video/pro",
"input": {
"image": "https://content.doitong.com/dev-api/2026/10/21/req_m47cpdni6njc4mezryvt9kg2/0-fUu2PV5voQYZjKUW9sc_1_qYL5cs4B.png",
"prompt": "The camera glides forward and slowly tilts up toward the peaks, icebergs drift gently, clouds move across the sky and the morning light grows brighter.",
"duration": 6,
"resolution": "720p",
"generate_audio": false
}
}
Doitong API ਰਾਹੀਂ LTX 2.5 Pro Image to Video ਮਾਡਲ (lightricks/ltx-2.5/image-to-video/pro) ਨੂੰ ਕਾਲ ਕਰੋ। ਏਜੰਟਾਂ ਲਈ ਦਸਤਾਵੇਜ਼: https://doitong.com/pa/developers/models/lightricks/ltx-2.5/image-to-video/pro.md
POST https://api.doitong.ru/v1/run/lightricks/ltx-2.5/image-to-video/pro?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"image": "https://content.doitong.com/dev-api/2026/10/21/req_m47cpdni6njc4mezryvt9kg2/0-fUu2PV5voQYZjKUW9sc_1_qYL5cs4B.png",
"prompt": "The camera glides forward and slowly tilts up toward the peaks, icebergs drift gently, clouds move across the sky and the morning light grows brighter.",
"duration": 6,
"resolution": "720p",
"generate_audio": false
}
ਜੇ ਜਵਾਬ ਦੀ ਸਥਿਤੀ "queued" ਜਾਂ "running" ਹੈ, ਤਾਂ GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 ਨੂੰ ਉਦੋਂ ਤੱਕ ਪੋਲ ਕਰੋ ਜਦੋਂ ਤੱਕ ਇਹ "succeeded" ਨਾ ਹੋ ਜਾਵੇ; ਫ਼ਾਈਲਾਂ outputs[].url ਵਿੱਚ ਹਨ। ਉਸੇ ਬਾਡੀ ਨਾਲ POST https://api.doitong.ru/v1/quote/lightricks/ltx-2.5/image-to-video/pro ਚਲਾਉਣ ’ਤੇ ਰਨ ਤੋਂ ਪਹਿਲਾਂ ਸਹੀ ਕੀਮਤ ਮਿਲ ਜਾਂਦੀ ਹੈ।
ਇਹ ਬੇਨਤੀ: $0.72 720 API ਕ੍ਰੈਡਿਟ · ≈ ₽77.46 ਇਸ ਪੰਨੇ ’ਤੇ ਚਲਾਓ
ਤੁਹਾਡੀ ਨਵੀਂ API ਕੁੰਜੀ। ਇਹ ਸਿਰਫ਼ ਹੁਣ ਦਿਖਾਈ ਜਾਂਦੀ ਹੈ ਅਤੇ ਪਹਿਲਾਂ ਹੀ ਕੋਡ ਅਤੇ ਹੇਠਾਂ ਦਿੱਤੇ API ਕੁੰਜੀ ਖੇਤਰ ਵਿੱਚ ਮੌਜੂਦ ਹੈ। ਇਸਨੂੰ ਗੁਪਤ ਰੱਖੋ: ਇਸਨੂੰ ਕਦੇ ਵੀ ਬ੍ਰਾਊਜ਼ਰ ਵਿੱਚ ਚੱਲਣ ਵਾਲੇ ਕੋਡ ਵਿੱਚ ਨਾ ਰੱਖੋ।
ਉਦਾਹਰਨਾਂ
ਰਿਕਵੈਸਟ ਬਣਾਓ
ਕੰਟਰੋਲ ਮਾਡਲ ਸਕੀਮਾ ਤੋਂ ਤਿਆਰ ਹੁੰਦੇ ਹਨ। ਤੁਸੀਂ ਬਦਲਾਅ ਕਰਦੇ ਹੀ ਕੋਡ ਅਤੇ ਕੀਮਤ ਅੱਪਡੇਟ ਹੋ ਜਾਂਦੇ ਹਨ।
/run/lightricks/ltx-2.5/image-to-video/pro?wait=20
ਕੋਟ → $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/image-to-video/pro?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"image": "https://content.doitong.com/dev-api/2026/10/21/req_m47cpdni6njc4mezryvt9kg2/0-fUu2PV5voQYZjKUW9sc_1_qYL5cs4B.png",
"prompt": "The camera glides forward and slowly tilts up toward the peaks, icebergs drift gently, clouds move across the sky and the morning light grows brighter.",
"duration": 6,
"resolution": "720p",
"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 $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/lightricks/ltx-2.5/image-to-video/pro?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"image": "https://content.doitong.com/dev-api/2026/10/21/req_m47cpdni6njc4mezryvt9kg2/0-fUu2PV5voQYZjKUW9sc_1_qYL5cs4B.png",
"prompt": "The camera glides forward and slowly tilts up toward the peaks, icebergs drift gently, clouds move across the sky and the morning light grows brighter.",
"duration": 6,
"resolution": "720p",
"generate_audio": false
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"image": "https://content.doitong.com/dev-api/2026/10/21/req_m47cpdni6njc4mezryvt9kg2/0-fUu2PV5voQYZjKUW9sc_1_qYL5cs4B.png",
"prompt": "The camera glides forward and slowly tilts up toward the peaks, icebergs drift gently, clouds move across the sky and the morning light grows brighter.",
"duration": 6,
"resolution": "720p",
"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/image-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/image-to-video/pro",
"input": {
"image": "https://content.doitong.com/dev-api/2026/10/21/req_m47cpdni6njc4mezryvt9kg2/0-fUu2PV5voQYZjKUW9sc_1_qYL5cs4B.png",
"prompt": "The camera glides forward and slowly tilts up toward the peaks, icebergs drift gently, clouds move across the sky and the morning light grows brighter.",
"duration": 6,
"resolution": "720p",
"generate_audio": false
},
"wait_seconds": 20
}
}
}
ਇਹ ਬੇਨਤੀ ਚਲਾਓ
ਤੁਹਾਡੀ key ਇਸ ਬ੍ਰਾਊਜ਼ਰ ਵਿੱਚ ਰਹਿੰਦੀ ਹੈ: ਇਹ ਸਿਰਫ਼ Doitong API ਨੂੰ ਭੇਜੀ ਜਾਂਦੀ ਹੈ ਅਤੇ ਸਿਰਫ਼ ਤਾਂ ਹੀ (localStorage) ਵਿੱਚ ਸੁਰੱਖਿਅਤ ਹੁੰਦੀ ਹੈ ਜੇ ਤੁਸੀਂ Remember ਚੁਣੋ। API ਕੁੰਜੀ ਪ੍ਰਾਪਤ ਕਰੋ
LTX 2.5 Pro Image to Video ਬਾਰੇ
LTX 2.5 Pro image-to-video ਤੁਹਾਡੇ ਪਹਿਲੇ ਫ੍ਰੇਮ ਨੂੰ ਐਨੀਮੇਟ ਕਰਦਾ ਹੈ, ਅੰਤਿਮ ਫ੍ਰੇਮ ’ਤੇ ਸਮਾਪਤ ਹੋ ਸਕਦਾ ਹੈ, ਬਣਾਇਆ ਗਿਆ ਆਡੀਓ ਜੋੜਦਾ ਹੈ ਅਤੇ ਨਾਮਿਤ ਕੈਮਰਾ ਮੂਵ (dolly, jib, static ਜਾਂ focus shift) ਸਵੀਕਾਰ ਕਰਦਾ ਹੈ। 6, 8 ਜਾਂ 10 ਸਕਿੰਟ ਜਾਂ ਆਟੋਮੈਟਿਕ ਲੰਬਾਈ, 720p ਜਾਂ 1080p, 24, 25 ਜਾਂ 50 fps।
ਪੈਰਾਮੀਟਰ
ਕੈਨੋਨਿਕਲ ਨਾਮ ਜਾਂ ਨੇਟਿਵ ਨਾਮ ਵਿੱਚੋਂ ਕੋਈ ਇੱਕ ਭੇਜੋ, ਦੋਵੇਂ ਨਹੀਂ। ਕੈਨੋਨਿਕਲ ਨਾਮ
image_urlਲੋੜੀਂਦਾ
image
end_image_urlਵਿਕਲਪਿਕ
end_image
promptਲੋੜੀਂਦਾ
durationਵਿਕਲਪਿਕ
resolutionਵਿਕਲਪਿਕ
aspect_ratioਵਿਕਲਪਿਕ
fpsਵਿਕਲਪਿਕ
generate_audioਵਿਕਲਪਿਕ
camera_motionਵਿਕਲਪਿਕ
ਫ਼ਾਈਲ ਪੈਰਾਮੀਟਰ ਜਨਤਕ https:// URL, 10 MB ਤੱਕ ਦਾ data: URI, ਜਾਂ ਅੱਪਲੋਡ ਦੇ file_url ਨੂੰ ਸਵੀਕਾਰਦੇ ਹਨ। ਫ਼ਾਈਲਾਂ
ਆਉਟਪੁੱਟ
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "lightricks/ltx-2.5/image-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": "Fireflies swirl around the fox as it slows down and looks back over its shoulder",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"duration": 6,
"resolution": "720p",
"camera_motion": "static"
},
"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"
}
}
ਆਉਟਪੁੱਟ ਦੇ ਫ਼ੀਲਡ
- video
- object {url, content_type, file_name, file_size, width, height, fps, duration, num_frames}ਨਤੀਜੇ ਵਜੋਂ ਮਿਲੀ ਵੀਡੀਓ ਫ਼ਾਈਲ।
ਹੋਰ LTX 2.5 ਵੈਰੀਐਂਟ
ਹੋਰ ਮਾਡਲ: ਚਿੱਤਰ ਤੋਂ ਵੀਡੀਓ
AI ਏਜੰਟਾਂ ਲਈ: ਇਹ ਪੰਨਾ Markdown ਵਜੋਂ ਇੱਥੇ ਹੈ https://doitong.com/pa/developers/models/lightricks/ltx-2.5/image-to-video/pro.md. ਸਾਰੇ ਮਾਡਲ ਅਤੇ ਗਾਈਡ: https://doitong.com/developers/llms.txt