Kling 3.0 Pro Image to Video
Integracja
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/pl/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
}
}
Wywołaj model Kling 3.0 Pro Image to Video (kling-video/v3/pro/image-to-video) za pośrednictwem Doitong API. Dokumentacja dla agentów: https://doitong.com/pl/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
}
Jeśli status odpowiedzi to "queued" lub "running", odpytuj GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20, aż status zmieni się na "succeeded"; pliki znajdują się w outputs[].url. POST https://api.doitong.ru/v1/quote/kling-video/v3/pro/image-to-video z tym samym ciałem zwraca dokładną cenę przed uruchomieniem.
To żądanie: 0,56 $ 560 kredytów API · ≈ 60,10 ₽ Uruchom na tej stronie
Twój nowy klucz API. Jest wyświetlany tylko teraz i znajduje się już w kodzie oraz w polu klucza API poniżej. Zachowaj go w tajemnicy: nigdy nie umieszczaj go w kodzie uruchamianym w przeglądarce.
Przykłady
Zbuduj żądanie
Elementy sterujące są generowane ze schematu modelu. Kod i cena aktualizują się podczas ich zmiany.
/run/kling-video/v3/pro/image-to-video?wait=20
wycena → 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
}
}
}
Uruchom to żądanie
Klucz pozostaje w tej przeglądarce: jest wysyłany tylko do Doitong API i zapisywany (localStorage) tylko po zaznaczeniu opcji Zapamiętaj. Uzyskaj klucz API
Utworzone w Doitong
Publiczne prace utworzone za pomocą Kling v3 przez społeczność Doitong. Użyj ponownie promptu jednym kliknięciem.
Wideo
Оживи исходное изображение. Полностью сохрани внешность девушки, лицо, причёску, одежду, интерьер, цвета, композицию и русский текст. Девушка смотрит прямо на зрителя, естественно улыбается, моргает, слегка наклоняется вперёд и показывает пальцем на зрителя. Она естественно произносит по-русски:...
Wideo
Оживи исходное изображение, полностью сохрани внешность девушки и дизайн розового персонажа, их лица, цвета, интерьер, композицию и существующий русский текст. Розовый персонаж оживает, смотрит на зрителя, радостно улыбается, моргает, слегка подпрыгивает и машет рукой. Он произносит по-русски:...
Wideo
Make A warm, emotional 25 second video cinematic scene of a 4 years of boy with dark brown hair and big eyes having a difficult moment—crying, reaching toward their mother, and showing frustration. The mother initially looks concerned,she listens him then gently kneels down, makes eye contact,...
Wideo
Ты эксперт в медиа продвижении в социальных сетях --- Название рилс: "Ошибка №1 После Развода: Почему ты тормозишь себя?" Хук (Первые 3-5 секунд): * Визуал: Крупный план вашего лица, выражающего легкое недоумение или задумчивость. Затем резкий переход к черно-белой картинке или затемнению. *...
Wideo
🎬 Фильм «Мамы больше нет» Общий стиль для всех сцен: Фотореалистичный современный российский художественный фильм. Настоящие люди, реальные человеческие лица, натуральная кожа, естественная мимика и движения. Реальная квартира, естественный дневной и вечерний свет, кинематографическая камера,...
Wideo
Use the uploaded image as the exact identity and appearance reference. Create a short hyperrealistic video where the woman keeps exactly the same face, identity, facial features, proportions, skin tone, hairstyle, bouquet, white shirt, pink balloons, candles “24”, and background. The motion must...
Wideo
Медленное плавное приближение камеры к гигантскому флакону духов в миниатюрном ночном городе. Две маленькие машины спокойно проезжают по дороге перед основанием флакона. Вдали едва заметно движется лёгкая дымка. Огни города мягко отражаются на мокром асфальте. Флакон стоит неподвижно. Его форма,...
Wideo
Девушка всилит дома смотрит интернете ищет салон красоты ,находит салон,приходит в салон наш с кудрявыми волосами ,другой мастер кератиновое выпрямление волос ,и она смотрит на свои волосы в зеркало и очень счастлива и благодарит мастера Анастасию Render entirely in "Claymation" style — match its...
Wideo
Animate this baby very gently and naturally. She is lying on her tummy and happily playing with the colorful toy in front of her. She smiles warmly, softly blinks, makes tiny hand and finger movements toward the toy, slightly wiggles her body, and shows subtle natural breathing. The toy can move...
Wideo
The toddler slowly lowers his raised hand and gently pats his own bottom, then continues rhythmically patting his bottom many times, slowly and softly, his palm touches only his own body, his hand stays close to his body, like a mother soothing a baby, in a sweet cute baby voice he quietly coos...
Wideo
Дверь кофейни резко открывается. Внутрь заходит эффектная рыжеволосая девушка в чёрной кожаной куртке, шлем под мышкой. На улице у входа виден её мощный мотоцикл. Она уверенно подходит к стойке. Бариста — симпатичный парень-ботан в очках, с растрёпанными волосами, — поднимает глаза от кофемашины....
Wideo
A cinematic 3D Pixar-style animation. The same young firefighter gently polishes his silver helmet marked with the number 5. He blinks naturally, smiles slightly, and turns his eyes toward the flashing red alarm light. Red emergency lights pulse and reflect on his helmet and face. Subtle hand...
Wideo
Cinematic 3D Pixar-style animation. The same young firefighter from the previous shot suddenly hears the emergency alarm. His expression changes from calm to determined. He quickly turns his head toward the flashing red alarm light, grabs his silver firefighter helmet marked with the number 5,...
Wideo
Ultra-realistic 4K ASMR video, vertical 9:16. A whole fresh brown coconut with a realistic hairy shell sits on a beautiful dark wooden cutting board. Cinematic macro close-up, soft studio lighting, luxurious satisfying aesthetic. A hand slowly approaches holding a sharp stainless steel knife. The...
Wideo
VISUAL CORRECTION. This replaces the previous request entirely. Subject: a compact studio room A reference supplies identity ONLY. Keep the recognizable subject and visual style, but implement the requested changes to size, parts, pose, setting and composition. The actual result MUST visibly...
Wideo
VISUAL CORRECTION. This replaces the previous request entirely. Subject: why leaves have veins A reference supplies identity ONLY. Keep the recognizable subject and visual style, but implement the requested changes to size, parts, pose, setting and composition. The actual result MUST visibly...
Informacje o Kling 3.0 Pro Image to Video
Flagowy model Kling image-to-video zachowuje stabilny obiekt z obrazu początkowego, dodając naturalny ruch, ruchy kamery oraz domyślnie dopasowany dźwięk i mowę. Dodaj obraz końcowy, aby określić zakończenie ujęcia, podziel jedno generowanie na kilka ujęć za pomocą promptów dla poszczególnych ujęć albo przypnij powtarzające się postacie i obiekty za pomocą elementów referencyjnych. Kształt kadru jest zgodny z obrazem początkowym.
Parametry
Wyślij nazwę kanoniczną albo natywną, nie obie. Nazwy kanoniczne
promptopcjonalne
multi_promptopcjonalne
multi_prompt[].promptwymagane
multi_prompt[].durationopcjonalne
start_image_urlwymagane
image
durationopcjonalne
generate_audioopcjonalne
end_image_urlopcjonalne
end_image
elementsopcjonalne
elements[].frontal_image_urlopcjonalne
elements[].reference_image_urlsopcjonalne
elements[].video_urlopcjonalne
elements[].voice_idopcjonalne
shot_typeopcjonalne
negative_promptopcjonalne
cfg_scaleopcjonalne
Parametry plików przyjmują publiczny URL https://, identyfikator URI data: do 10 MB albo file_url przesłanego pliku. Pliki
Wynik
{
"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"
}
}
Pola wyniku
- video
- object {url, content_type, file_name, file_size}Wideo wygenerowane przez model.
Inne warianty Kling v3
Więcej modeli: Obraz na wideo
Dla agentów AI: ta strona w formacie Markdown jest dostępna pod adresem https://doitong.com/pl/developers/models/kling-video/v3/pro/image-to-video.md. Wszystkie modele i przewodniki: https://doitong.com/developers/llms.txt