LTX 2.5 Pro Image to Video
Unganisha
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/sw/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
}
}
Piga modeli ya LTX 2.5 Pro Image to Video (lightricks/ltx-2.5/image-to-video/pro) kupitia Doitong API. Nyaraka za mawakala: https://doitong.com/sw/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
}
Ikiwa hali ya jibu ni "queued" au "running", piga GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 mara kwa mara hadi iwe "succeeded"; faili ziko kwenye outputs[].url. POST https://api.doitong.ru/v1/quote/lightricks/ltx-2.5/image-to-video/pro yenye mwili uleule hurejesha bei kamili kabla ya kuendesha.
Ombi hili: $ 0.72 salio za API 720 · ≈ ₽ 77.46 Iendeshe kwenye ukurasa huu
Ufunguo wako mpya wa API. Inaonyeshwa sasa tu na tayari iko kwenye msimbo na katika sehemu ya ufunguo wa API hapa chini. Iweke siri: usiwahi kuiweka kwenye msimbo unaoendeshwa kwenye kivinjari.
Mifano
Unda ombi
Vidhibiti vinazalishwa kutoka kwenye schema ya modeli. Msimbo na bei husasishwa unapovibadilisha.
/run/lightricks/ltx-2.5/image-to-video/pro?wait=20
makadirio → $ 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
}
}
}
Endesha ombi hili
Key yako inabaki kwenye kivinjari hiki: inatumwa kwa Doitong API pekee na kuhifadhiwa (localStorage) tu ukiweka tiki kwenye Kumbuka. Pata ufunguo wa API
Kuhusu LTX 2.5 Pro Image to Video
Picha-hadi-video ya LTX 2.5 Pro huunda uhuishaji wa fremu yako ya kwanza, inaweza kumalizia kwenye fremu ya mwisho, huongeza sauti inayozalishwa na hukubali mjongeo wa kamera uliotajwa (dolly, jib, static au focus shift). Sekunde 6, 8 au 10 au urefu wa kiotomatiki, 720p au 1080p, 24, 25 au 50 fps.
Vigezo
Tuma jina rasmi au jina asilia, si yote mawili. Majina rasmi
image_urlinahitajika
image
end_image_urlsi lazima
end_image
promptinahitajika
durationsi lazima
resolutionsi lazima
aspect_ratiosi lazima
fpssi lazima
generate_audiosi lazima
camera_motionsi lazima
Vigezo vya faili vinakubali URL ya umma ya https://, data: URI ya hadi 10 MB, au file_url ya upakiaji. Faili
Tokeo
{
"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"
}
}
Sehemu za tokeo
- video
- object {url, content_type, file_name, file_size, width, height, fps, duration, num_frames}Faili ya video inayotokana.
Tofauti nyingine za LTX 2.5
Miundo zaidi: Picha hadi Video
Kwa mawakala wa AI: ukurasa huu katika Markdown unapatikana kwenye https://doitong.com/sw/developers/models/lightricks/ltx-2.5/image-to-video/pro.md. Modeli na miongozo yote: https://doitong.com/developers/llms.txt