Kling 3.0 Pro Image to Video
Integrar
kling-video/v3/pro/image-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/image-to-video?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "The paper boat drifts forward with the current, raindrops ripple around it, neon reflections shimmer on the wet street, the camera follows at water level.",
"image": "https://content.doitong.com/dev-api/2026/10/21/req_rrqclmu39lveihzpwxufalbn/0-oGMt1xgBCGjIy2tBNDIKy_MSH2rhkY.png",
"duration": 5,
"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 $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/kling-video/v3/pro/image-to-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "The paper boat drifts forward with the current, raindrops ripple around it, neon reflections shimmer on the wet street, the camera follows at water level.",
"image": "https://content.doitong.com/dev-api/2026/10/21/req_rrqclmu39lveihzpwxufalbn/0-oGMt1xgBCGjIy2tBNDIKy_MSH2rhkY.png",
"duration": 5,
"generate_audio": false
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "The paper boat drifts forward with the current, raindrops ripple around it, neon reflections shimmer on the wet street, the camera follows at water level.",
"image": "https://content.doitong.com/dev-api/2026/10/21/req_rrqclmu39lveihzpwxufalbn/0-oGMt1xgBCGjIy2tBNDIKy_MSH2rhkY.png",
"duration": 5,
"generate_audio": False,
}
# 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/image-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/es/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/image-to-video",
"input": {
"prompt": "The paper boat drifts forward with the current, raindrops ripple around it, neon reflections shimmer on the wet street, the camera follows at water level.",
"image": "https://content.doitong.com/dev-api/2026/10/21/req_rrqclmu39lveihzpwxufalbn/0-oGMt1xgBCGjIy2tBNDIKy_MSH2rhkY.png",
"duration": 5,
"generate_audio": false
}
}
Llama al modelo Kling 3.0 Pro Image to Video (kling-video/v3/pro/image-to-video) mediante Doitong API. Documentación para agentes: https://doitong.com/es/developers/models/kling-video/v3/pro/image-to-video.md
POST https://api.doitong.ru/v1/run/kling-video/v3/pro/image-to-video?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"prompt": "The paper boat drifts forward with the current, raindrops ripple around it, neon reflections shimmer on the wet street, the camera follows at water level.",
"image": "https://content.doitong.com/dev-api/2026/10/21/req_rrqclmu39lveihzpwxufalbn/0-oGMt1xgBCGjIy2tBNDIKy_MSH2rhkY.png",
"duration": 5,
"generate_audio": false
}
Si el estado de la respuesta es "queued" o "running", consulta GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 hasta que sea "succeeded"; los archivos están en outputs[].url. POST https://api.doitong.ru/v1/quote/kling-video/v3/pro/image-to-video con el mismo cuerpo devuelve el precio exacto antes de la ejecución.
Esta solicitud: 0,56 $ 560 créditos de API · ≈ 59,68 ₽ Ejecutar en esta página
Tu nueva clave de API. Solo se muestra ahora y ya está en el código y en el campo de clave de API de abajo. Mantenla en secreto: nunca la incluyas en código que se ejecute en un navegador.
Ejemplos
Crear una solicitud
Los controles se generan a partir del esquema del modelo. El código y el precio se actualizan al modificarlos.
/run/kling-video/v3/pro/image-to-video?wait=20
cotización → 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/image-to-video?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "The paper boat drifts forward with the current, raindrops ripple around it, neon reflections shimmer on the wet street, the camera follows at water level.",
"image": "https://content.doitong.com/dev-api/2026/10/21/req_rrqclmu39lveihzpwxufalbn/0-oGMt1xgBCGjIy2tBNDIKy_MSH2rhkY.png",
"duration": 5,
"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 $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/kling-video/v3/pro/image-to-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "The paper boat drifts forward with the current, raindrops ripple around it, neon reflections shimmer on the wet street, the camera follows at water level.",
"image": "https://content.doitong.com/dev-api/2026/10/21/req_rrqclmu39lveihzpwxufalbn/0-oGMt1xgBCGjIy2tBNDIKy_MSH2rhkY.png",
"duration": 5,
"generate_audio": false
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "The paper boat drifts forward with the current, raindrops ripple around it, neon reflections shimmer on the wet street, the camera follows at water level.",
"image": "https://content.doitong.com/dev-api/2026/10/21/req_rrqclmu39lveihzpwxufalbn/0-oGMt1xgBCGjIy2tBNDIKy_MSH2rhkY.png",
"duration": 5,
"generate_audio": False,
}
# 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/image-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/image-to-video",
"input": {
"prompt": "The paper boat drifts forward with the current, raindrops ripple around it, neon reflections shimmer on the wet street, the camera follows at water level.",
"image": "https://content.doitong.com/dev-api/2026/10/21/req_rrqclmu39lveihzpwxufalbn/0-oGMt1xgBCGjIy2tBNDIKy_MSH2rhkY.png",
"duration": 5,
"generate_audio": false
},
"wait_seconds": 20
}
}
}
Ejecutar esta solicitud
Tu clave permanece en este navegador: solo se envía a la Doitong API y se guarda (localStorage) únicamente si marcas Recordar. Obtener una clave de API
Creado en Doitong
Trabajos públicos creados con Kling v3 por la comunidad de Doitong. Reutiliza un prompt con un clic.
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Acerca de Kling 3.0 Pro Image to Video
El modelo insignia de imagen a video de Kling mantiene estable el sujeto de la imagen inicial mientras añade movimiento natural, movimientos de cámara y, de forma predeterminada, sonido y voz sincronizados. Proporciónale una imagen final para controlar dónde termina la toma, divide una generación en varias tomas con prompts por toma o fija personajes y objetos recurrentes con elementos de referencia. La forma del fotograma sigue la imagen inicial.
Parámetros
Envía el nombre canónico o el nombre nativo, no ambos. Nombres canónicos
promptopcional
multi_promptopcional
multi_prompt[].promptobligatorio
multi_prompt[].durationopcional
start_image_urlobligatorio
image
durationopcional
generate_audioopcional
end_image_urlopcional
end_image
elementsopcional
elements[].frontal_image_urlopcional
elements[].reference_image_urlsopcional
elements[].video_urlopcional
elements[].voice_idopcional
shot_typeopcional
negative_promptopcional
cfg_scaleopcional
Los parámetros de archivo aceptan una URL pública https://, un URI data: de hasta 10 MB o el file_url de una carga. Archivos
Salida
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "kling-video/v3/pro/image-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": "The banana manager turns to the camera, smiles and waves while coworkers keep typing, gentle handheld camera",
"image": "https://content.doitong.com/images/gp/image_20260610003801_541d9719_316882.png",
"duration": 5
},
"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"
}
}
Campos de salida
- video
- object {url, content_type, file_name, file_size}Video producido por el modelo.
Otras variantes de Kling v3
Más modelos: Imagen a vídeo
Para agentes de IA: esta página en Markdown está en https://doitong.com/es/developers/models/kling-video/v3/pro/image-to-video.md. Todos los modelos y guías: https://doitong.com/developers/llms.txt