
Walang nahanap. Subukan ang “video”, “FLUX” o “webhooks”.
Nilo-load ang mga modelo…
kling-image/o1
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/kling-image/o1?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
]
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/kling-image/o1?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
]
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
],
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/kling-image/o1", 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/fil/developers/docs/mcp)
claude mcp add --transport http doitong-models https://api.doitong.com/v1/mcp \
--header "Authorization: Bearer $DOITONG_API_KEY"
# 2. Your agent calls the "run" tool with:
{
"model_id": "kling-image/o1",
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
]
}
}
Tawagin ang modelong Kling O1 Image (kling-image/o1) sa pamamagitan ng Doitong API. Dokumentasyon para sa mga agent: https://doitong.com/fil/developers/models/kling-image/o1.md
POST https://api.doitong.com/v1/run/kling-image/o1?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
]
}
Kung ang response status ay "queued" o "running", i-poll ang GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 hanggang maging "succeeded"; nasa outputs[].url ang mga file. Ang POST https://api.doitong.com/v1/quote/kling-image/o1 na may parehong body ay nagbabalik ng eksaktong presyo bago patakbuhin.
Kahilingang ito: $0.028 28 kredito ng API Patakbuhin ito sa page na ito
Ang bago mong API key. Ipinapakita lang ito ngayon at nasa code at sa field ng API key sa ibaba na. Panatilihin itong sikreto: huwag kailanman ilagay sa code na tumatakbo sa browser.
Mga pampublikong gawang ginawa gamit ang Kling O1 Image ng komunidad ng Doitong. Gamitin muli ang prompt sa isang click.
video
**Duration: 5 seconds | Aspect ratio: 16:9 | Children's YouTube Intro | Video with Audio** Animate the provided image into a bright, magical, energetic, professional YouTube intro for a children's entertainment channel, with perfectly synchronized sound effects, cheerful music, and a cute child's...
video
**Duration: 5 seconds | Aspect ratio: 16:9 | Children's YouTube Intro | Video with Audio** Animate the provided image into a bright, magical, energetic, professional YouTube intro for a children's entertainment channel, with perfectly synchronized sound effects, cheerful music, and a cute child's...
video
**Duration: 5 seconds | Aspect ratio: 16:9 | Children's YouTube Intro | Video with Audio** Animate the provided image into a bright, magical, energetic, professional YouTube intro for a children's entertainment channel, with perfectly synchronized sound effects, cheerful music, and a cute child's...
video
Уютная база отдыха с деревянными домиками-шале среди сосен. Майя и Клиентка заходят в теплое кафе с панорамными окнами. Внутри деревянный интерьер, мягкие диваны и живые цветы. Они садятся за столик, перед ними стоят дымящиеся чашки чая. Мягкий свет ламп создает уют. Средний план, уровень глаз. (...
video
**Duration: 4 seconds | Aspect ratio: 16:9 | Children's YouTube Intro | Video with Audio** Animate the provided image into a bright, magical, energetic, professional YouTube intro for a children's entertainment channel, with perfectly synchronized sound effects, cheerful music, and a cute child's...
video
Реалистично оживи старую семейную фотографию. Все люди сохраняют свои оригинальные лица, черты внешности, возраст, причёски и одежду. Мужчины слегка поворачивают головы, естественно моргают и едва заметно улыбаются. Женщина слева спокойно смотрит в камеру и мягко моргает. Маленький ребёнок слегка...
video
Create a realistic 30-second vertical 9:16 video showing two construction workers installing large white patio tiles in a modern backyard. Show the entire construction process in a smooth timelapse. Gradually transform the unfinished backyard into a luxurious outdoor living space with an L-shaped...
video
Create a warm, emotional 8–10 second cinematic video showing the difference between a young child playing alone and playing with their mother. Scene 1: A toddler sits on the floor playing with toys independently. The child is calm and focused, exploring and learning through independent play. The...
video
«same character as reference, [сцена]». Кадры для песни Colores (вертикальные 9:16): Оба машут, приветствие Pipo держит красное яблоко Luna под голубым небом с голубым шариком Жёлтое солнце и цыплёнок рядом с героями Зелёная лягушка на листе, герои смотрят на неё Фиолетовый виноград Оба танцуют...
video
Сцена 2 — Бананыч роняет коктейль (5 сек) Cute anthropomorphic banana man Bananych dropping cocktail, funny shocked face, eyes wide, tropical beach, other fruit characters reacting, charming and hilarious, stylized 3D Pixar-quality render, cinematic lighting, 9:16 vertical Render entirely in "3D...
video
тёплый сюжет — дети не рассказывают историю «Мәңгілік», а находят её и понимают, что однажды могут стать её продолжением. Мультфильм «История, которую мы продолжаем» Продолжительность — 40–60 секунд. Без слов. Кадр 1. Тёмный зал. На полу лежит большая старинная книга. На обложке надпись:...
video
Создай короткое фотореалистичное кинематографичное видео из двух последовательных кадров с одной и той же девушкой из референс-фото. Максимально точно сохрани её внешность: лицо, черты лица, глаза, волосы, цвет кожи и телосложение. КАДР 1 — КОШМАР: Ночь. Девушка спит в своей кровати в тёмной...
video
Cinematic photorealistic animation based strictly on the reference image. Preserve the girl’s exact face, facial features, hairstyle, clothing, age and identity. She stands in the middle of a rainy city street at night, visibly shocked and devastated after witnessing a terrible accident. Her wet...
video
Create a cinematic emotional scene inspired by an epic historical drama. Show the same dark samurai warrior from the reference image walking slowly through a vast golden wheat field at sunset. He is seen from behind and slightly from the side, wearing detailed dark samurai armor and a traditional...
video
Animate the supplied first frame. Preserve the exact single sneaker, same ivory knit upper, ivory curved panels, orange heel tab, charcoal inset, sole shape and laces. Shoe stays still on its limestone plinth. A very slow smooth camera arc of only a few degrees toward the side, soft studio light...
video
Animate the supplied first frame. Preserve exactly the same adult woman, face, hazel eyes, curly bob, freckles, rust-red jacket and ivory shirt. She slowly raises her chin and looks toward the soft warm light, takes one natural quiet breath, then settles into a subtle confident expression....
Ang mga control ay binubuo mula sa schema ng modelo. Nagbabago ang code at presyo habang ina-adjust mo ang mga ito.
/run/kling-image/o1?wait=20
presyo → $0.028
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/kling-image/o1?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
]
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/kling-image/o1?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
]
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
],
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/kling-image/o1", 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-image/o1",
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
]
},
"wait_seconds": 20
}
}
}
Nananatili ang iyong key sa browser na ito: ipinapadala lamang ito sa Doitong API at sine-save (localStorage) lamang kung pipiliin mo ang Tandaan. Kumuha ng API key
Nag-e-edit o nagre-recombine ng mga larawan mula sa `prompt` na hanggang 2500 character. Tinutukoy ang mga input gamit ang @Image1, @Image2 at iba pa, na gumagamit ng hanggang 10 sa `image_urls`; nagdaragdag ang `elements` ng mga character o object, na may pinagsamang maximum na 10. Ang `resolution` ay 1K o 2K, ang `num_images` ay 1 hanggang 9, at kabilang sa `aspect_ratio` ang auto, 21:9 at 3:2. png, jpeg o webp ang output.
Ipadala ang canonical na pangalan o ang native na pangalan, hindi pareho. Mga canonical na pangalan
promptkinakailangan
image_urlskinakailangan
images
elementsopsyonal
elements[].frontal_image_urlopsyonal
elements[].reference_image_urlsopsyonal
resolutionopsyonal
num_imagesopsyonal
num_outputs
aspect_ratioopsyonal
output_formatopsyonal
enable_safety_checkeropsyonal
Tumatanggap ang mga parameter ng file ng pampublikong https:// URL, data: URI na hanggang 10 MB, o file_url ng isang upload. Mga file
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "kling-image/o1",
"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": 28,
"usd": "0.028",
"charged": 28,
"refunded": 0
},
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image_urls": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
]
},
"output": {
"images": [
{
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200,
"width": 1024,
"height": 768
}
]
},
"outputs": [
{
"type": "image",
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_size": 1843200,
"width": 1024,
"height": 768,
"stored": true
}
],
"error": null,
"metrics": {
"inference_seconds": 6.8
},
"urls": {
"self": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
Para sa mga AI agent: nasa Markdown ang pahinang ito sa https://doitong.com/fil/developers/models/kling-image/o1.md. Lahat ng modelo at gabay: https://doitong.com/developers/llms.txt