Kling LipSync Text-to-Video
Whakauru
kling-video/lipsync/text-to-video
# 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/kling-video/lipsync/text-to-video?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"voice_id": "genshin_vindi2"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/kling-video/lipsync/text-to-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"voice_id": "genshin_vindi2"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"voice_id": "genshin_vindi2",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/kling-video/lipsync/text-to-video", 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/mi/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": "kling-video/lipsync/text-to-video",
"input": {
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"voice_id": "genshin_vindi2"
}
}
Karangahia te tauira Kling LipSync Text-to-Video (kling-video/lipsync/text-to-video) mā te Doitong API. Tuhinga mō ngā āpiha: https://doitong.com/mi/developers/models/kling-video/lipsync/text-to-video.md
POST https://api.doitong.ru/v1/run/kling-video/lipsync/text-to-video?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"voice_id": "genshin_vindi2"
}
Mēnā ko "queued" "running" rānei te tūnga whakautu, uiuitia GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 kia "succeeded"; kei outputs[].url ngā kōnae. Ko POST https://api.doitong.ru/v1/quote/kling-video/lipsync/text-to-video me taua tinana anō ka whakahoki i te utu tika i mua i te whakahaere.
Ngā kōnae pēnei i te tauira: $ 0.14 140 whiwhinga API · ≈ ₽ 15.06 ka inea ō kōnae i mua i te whakahaere Whakahaerehia ki tēnei whārangi
Tō kī API hou. Ka whakaaturia ināianei anake, ā, kua whakaurua kētia ki te waehere me te āpure kī API kei raro. Me huna: kaua rawa e waiho ki te waehere e whakahaere ana i roto i te pūtirotiro.
I hangaia ki Doitong
Ngā mahi tūmatanui i hangaia ki Kling LipSync e te hapori Doitong. Whakamahia anō he tono mā te pāwhiri kotahi.
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You didn't fail because you're weak. You failed because you QUIT the second it got uncomfortable. Comfort is the enemy. Comfort is the drug that's keeping you average. Nobody's coming to save you. YOU are the rescue mission. Tomorrow morning, five A M. Do the thing you've been avoiding. That's...
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You didn't fail because you're weak. You failed because you QUIT the second it got uncomfortable. Comfort is the enemy. Comfort is the drug that's keeping you average. Nobody's coming to save you. YOU are the rescue mission. Tomorrow morning, five A M. Do the thing you've been avoiding. That's...
You didn't fail because you're weak. You failed because you QUIT the second it got uncomfortable. Comfort is the enemy. Comfort is the drug that's keeping you average. Nobody's coming to save you. YOU are the rescue mission. Tomorrow morning, five A M. Do the thing you've been avoiding. That's...
You didn't fail because you're weak. You failed because you QUIT the second it got uncomfortable. Comfort is the enemy. Comfort is the drug that's keeping you average. Nobody's coming to save you. YOU are the rescue mission. Tomorrow morning, five A M. Do the thing you've been avoiding. That's...
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Hangaia he tono
Ka hangaia ngā mana whakahaere mai i te aronuinga o te tauira. Ka whakahoungia te waehere me te utu ina whakarerekē koe.
/run/kling-video/lipsync/text-to-video?wait=20
utu → $ 0.14
# 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/kling-video/lipsync/text-to-video?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"voice_id": "genshin_vindi2"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/kling-video/lipsync/text-to-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"voice_id": "genshin_vindi2"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"voice_id": "genshin_vindi2",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/kling-video/lipsync/text-to-video", 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": "kling-video/lipsync/text-to-video",
"input": {
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"voice_id": "genshin_vindi2"
},
"wait_seconds": 20
}
}
}
Whakahaerehia tēnei tono
Ka noho tō kī ki tēnei pūtirotiro: ka tukuna ki te Doitong API anake, ā, ka tiakina ki te localStorage anake ina tohua e koe te Mahara. Tikina he kī API
Mō Kling LipSync Text-to-Video
Ka waihanga kōrero kua tukutahia ngā ngutu mai i te tuhinga, kaua mai i te kōnae oro. Tukua `video_url`, kia 120 ngā pūāhua te mōrahi o `text`, me tētahi `voice_id` mai i te rārangi reo tatūkē. Ko `voice_language` he zh, he en rānei, ā, kei waenga a `voice_speed` i te 0.8 me te 2. Ka taea te ataata pūtake hei .mp4, hei .mov rānei, kaua e nui ake i te 100MB, kia 2 ki te 60 hēkona, ā, kia 720p, 1080p rānei.
Ngā tawhā
Tukuna te ingoa tōmua, te ingoa taketake rānei, kaua e rua. Ngā ingoa tōmua
enable_safety_checkerkōwhiringa
video_urle hiahiatia ana
video
texte hiahiatia ana
voice_ide hiahiatia ana
+30 anō
ai_huangzhong_712ai_huangyaoshi_712ai_laoguowang_712chengshu_jiejieyou_pingjingcalm_story1uk_man2laopopo_speech02heainainai_speech02reader_en_m-v1commercial_lady_en_f-v1tiyuxi_xueditiexin_nanyougirlfriend_1_speech02girlfriend_2_speech02zhuxi_speech02uk_oldman3dongbeilaotie_speech02chongqingxiaohuo_speech02chuanmeizi_speech02chaoshandashu_speech02ai_taiwan_man2_speech02xianzhanggui_speech02tianjinjiejie_speech02diyinnansang_DB_CN_M_04-v2yizhipiannan-v1guanxiaofang-v2tianmeixuemei-v1daopianyansang-v1mengwa-v1voice_languagekōwhiringa
voice_speedkōwhiringa
Mō ngā tawhā kōnae, whakamahia he URL tūmatanui https://, he URI data: tae atu ki te 10 MB, he file_url rānei o tētahi tukuake. Ngā kōnae
Putanga
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "kling-video/lipsync/text-to-video",
"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": 140,
"usd": "0.14",
"charged": 140,
"refunded": 0
},
"input": {
"video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"voice_id": "genshin_vindi2"
},
"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
}
},
"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"
}
}
Ngā āpure o te putanga
- video
- object {url, content_type, file_name, file_size}Te ataata i hangaia e te tauira.
Ētahi atu rerekētanga Kling LipSync
Ētahi atu tauira: Tukutahi Ngutu me ngā Avatar
Mō ngā āpiha AI: kei te wātea tēnei whārangi hei Markdown ki https://doitong.com/mi/developers/models/kling-video/lipsync/text-to-video.md. Ngā tauira me ngā aratohu katoa: https://doitong.com/developers/llms.txt