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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/en-US/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"
]
}
}
Call the Kling O1 Image model (kling-image/o1) through the Doitong API. Docs for agents: https://doitong.com/en-US/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"
]
}
If the response status is "queued" or "running", poll GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 until it is "succeeded"; the files are in outputs[].url. POST https://api.doitong.com/v1/quote/kling-image/o1 with the same body returns the exact price before the run.
This request: $0.028 28 API credits Run it on this page
Your new API key. It is shown only now and is already in the code and in the API key field below. Keep it secret: never put it in code that runs in a browser.
Public works made with Kling O1 Image by the Doitong community. Reuse a prompt in one 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....
Controls are generated from the model schema. The code and the price update as you change them.
/run/kling-image/o1?wait=20
quote → $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
}
}
}
Your key stays in this browser: it is sent only to the Doitong API and saved (localStorage) only if you tick Remember. Get an API key
Edits or recombines images from a `prompt` of up to 2500 characters. Point to inputs with @Image1, @Image2 and so on, using up to 10 in `image_urls`; `elements` add characters or objects, with a combined maximum of 10. `resolution` is 1K or 2K, `num_images` is 1 to 9, and `aspect_ratio` includes auto, 21:9 and 3:2. Output is png, jpeg or webp.
Send either the canonical name or the native name, not both. Canonical names
promptrequired
image_urlsrequired
images
elementsoptional
elements[].frontal_image_urloptional
elements[].reference_image_urlsoptional
resolutionoptional
num_imagesoptional
num_outputs
aspect_ratiooptional
output_formatoptional
enable_safety_checkeroptional
File parameters take a public https:// URL, a data: URI up to 10 MB, or the file_url of an upload. Files
{
"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"
}
}
For AI agents: this page as Markdown is at https://doitong.com/en-US/developers/models/kling-image/o1.md. All models and guides: https://doitong.com/developers/llms.txt