Kling 3.0 Pro Text to Video
Integreren
kling-video/v3/pro/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/v3/pro/text-to-video?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "A paper boat drifts down a rain-filled street gutter at dusk. The camera follows at water level as raindrops ripple around it and neon reflections shimmer on the wet asphalt, then the boat tips over a small cascade into a puddle. Realistic water physics, shallow depth of field, cinematic.",
"duration": 5,
"generate_audio": false,
"aspect_ratio": "16:9"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/kling-video/v3/pro/text-to-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A paper boat drifts down a rain-filled street gutter at dusk. The camera follows at water level as raindrops ripple around it and neon reflections shimmer on the wet asphalt, then the boat tips over a small cascade into a puddle. Realistic water physics, shallow depth of field, cinematic.",
"duration": 5,
"generate_audio": false,
"aspect_ratio": "16:9"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "A paper boat drifts down a rain-filled street gutter at dusk. The camera follows at water level as raindrops ripple around it and neon reflections shimmer on the wet asphalt, then the boat tips over a small cascade into a puddle. Realistic water physics, shallow depth of field, cinematic.",
"duration": 5,
"generate_audio": False,
"aspect_ratio": "16:9",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/kling-video/v3/pro/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/nl/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/v3/pro/text-to-video",
"input": {
"prompt": "A paper boat drifts down a rain-filled street gutter at dusk. The camera follows at water level as raindrops ripple around it and neon reflections shimmer on the wet asphalt, then the boat tips over a small cascade into a puddle. Realistic water physics, shallow depth of field, cinematic.",
"duration": 5,
"generate_audio": false,
"aspect_ratio": "16:9"
}
}
Roep het Kling 3.0 Pro Text to Video-model (kling-video/v3/pro/text-to-video) aan via de Doitong API. Documentatie voor agents: https://doitong.com/nl/developers/models/kling-video/v3/pro/text-to-video.md
POST https://api.doitong.ru/v1/run/kling-video/v3/pro/text-to-video?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"prompt": "A paper boat drifts down a rain-filled street gutter at dusk. The camera follows at water level as raindrops ripple around it and neon reflections shimmer on the wet asphalt, then the boat tips over a small cascade into a puddle. Realistic water physics, shallow depth of field, cinematic.",
"duration": 5,
"generate_audio": false,
"aspect_ratio": "16:9"
}
Als de responsstatus "queued" of "running" is, poll dan GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 totdat deze "succeeded" is; de bestanden staan in outputs[].url. POST https://api.doitong.ru/v1/quote/kling-video/v3/pro/text-to-video met dezelfde body retourneert de exacte prijs vóór de uitvoering.
Deze request: $ 0,56 560 API-tegoed · ≈ ₽ 59,68 Op deze pagina uitvoeren
Je nieuwe API-sleutel. Deze wordt alleen nu getoond en staat al in de code en in het onderstaande API-sleutelveld. Houd deze geheim: zet deze nooit in code die in een browser wordt uitgevoerd.
Voorbeelden
PromptA paper boat drifts down a rain-filled street gutter at dusk. The camera follows at water level as raindrops ripple around it and neon reflections shimmer on the wet asphalt, then the boat tips over a small cascade into a puddle. Realistic water physics, shallow depth of field, cinematic.
Een aanvraag samenstellen
Besturingselementen worden gegenereerd op basis van het modelschema. De code en de prijs worden bijgewerkt terwijl je ze wijzigt.
/run/kling-video/v3/pro/text-to-video?wait=20
prijsopgave → $ 0,56
# 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/v3/pro/text-to-video?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "A paper boat drifts down a rain-filled street gutter at dusk. The camera follows at water level as raindrops ripple around it and neon reflections shimmer on the wet asphalt, then the boat tips over a small cascade into a puddle. Realistic water physics, shallow depth of field, cinematic.",
"duration": 5,
"generate_audio": false,
"aspect_ratio": "16:9"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/kling-video/v3/pro/text-to-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A paper boat drifts down a rain-filled street gutter at dusk. The camera follows at water level as raindrops ripple around it and neon reflections shimmer on the wet asphalt, then the boat tips over a small cascade into a puddle. Realistic water physics, shallow depth of field, cinematic.",
"duration": 5,
"generate_audio": false,
"aspect_ratio": "16:9"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "A paper boat drifts down a rain-filled street gutter at dusk. The camera follows at water level as raindrops ripple around it and neon reflections shimmer on the wet asphalt, then the boat tips over a small cascade into a puddle. Realistic water physics, shallow depth of field, cinematic.",
"duration": 5,
"generate_audio": False,
"aspect_ratio": "16:9",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/kling-video/v3/pro/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/v3/pro/text-to-video",
"input": {
"prompt": "A paper boat drifts down a rain-filled street gutter at dusk. The camera follows at water level as raindrops ripple around it and neon reflections shimmer on the wet asphalt, then the boat tips over a small cascade into a puddle. Realistic water physics, shallow depth of field, cinematic.",
"duration": 5,
"generate_audio": false,
"aspect_ratio": "16:9"
},
"wait_seconds": 20
}
}
}
Deze request uitvoeren
Je sleutel blijft in deze browser: hij wordt alleen naar de Doitong API verzonden en alleen in localStorage opgeslagen als je Onthouden aanvinkt. API-sleutel ophalen
Gemaakt op Doitong
Openbare werken gemaakt met Kling v3 door de Doitong-community. Gebruik een prompt opnieuw met één klik.
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Over Kling 3.0 Pro Text to Video
Kling's vlaggenschipmodel voor text-to-video rendert vloeiende, fysiek plausibele bewegingen en filmische belichting en genereert standaard passend geluid en spraak. Splits één clip op in meerdere shots met prompts per shot, of laat het model de cuts zelf plannen. 16:9, 9:16 of 1:1, elke lengte van 3 tot 15 seconden, met een negatieve prompt en een guidance scale.
Parameters
promptoptioneel
durationoptioneel
multi_promptoptioneel
multi_prompt[].promptverplicht
multi_prompt[].durationoptioneel
generate_audiooptioneel
shot_typeoptioneel
aspect_ratiooptioneel
negative_promptoptioneel
cfg_scaleoptioneel
Uitvoer
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "kling-video/v3/pro/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": 560,
"usd": "0.56",
"charged": 560,
"refunded": 0
},
"input": {
"prompt": "Close-up of fireflies dancing in a dark forest at twilight, soft glowing particles, slow dolly forward",
"duration": 5,
"aspect_ratio": "16:9"
},
"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"
}
}
Velden van de uitvoer
- video
- object {url, content_type, file_name, file_size}Video die door het model is geproduceerd.
Andere varianten van Kling v3
Meer modellen: Tekst naar video
Voor AI-agents: deze pagina als Markdown staat op https://doitong.com/nl/developers/models/kling-video/v3/pro/text-to-video.md. Alle modellen en handleidingen: https://doitong.com/developers/llms.txt