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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/pt-BR/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"
]
}
}
Chame o modelo Kling O1 Image (kling-image/o1) por meio da Doitong API. Documentação para agentes: https://doitong.com/pt-BR/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"
]
}
Se o status da resposta for "queued" ou "running", consulte GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 repetidamente até que seja "succeeded"; os arquivos estão em outputs[].url. POST https://api.doitong.com/v1/quote/kling-image/o1 com o mesmo corpo retorna o preço exato antes da execução.
Esta solicitação: $ 0,028 28 créditos de API Executar nesta página
Sua nova chave de API. Ela é exibida apenas agora e já está no código e no campo de chave de API abaixo. Mantenha-a em segredo: nunca a coloque em um código executado no navegador.
Trabalhos públicos feitos com Kling O1 Image pela comunidade Doitong. Reutilize um prompt com um clique.
Vídeo
**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...
Vídeo
**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...
Vídeo
**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...
Vídeo
**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...
Vídeo
Моя первая глобальная цель — 10.000 подписчиков. Я хочу расти вместе с вами, делать сериалы ещё круче, масштабнее и в итоге превратить это в полноценный проект, чтобы в дальнейшем монетизировать свой блог. Путь к первой десятке объявляю открытым. Идём со мной? Мне нужно такое видео в трёх кадрах...
Vídeo
Оживи старую чёрно-белую свадебную фотографию. Молодожёны стоят рядом друг с другом. Жених нежно и с любовью смотрит на невесту, слегка улыбается и бережно касается её руки. Невеста мягко улыбается, немного поворачивает голову к жениху и смотрит на него с теплотой. Их движения естественные,...
Vídeo
The woman in the reference photo smiles naturally at the camera. Golden magical sparks begin swirling around her body. Her eyes briefly glow with warm golden light. A beautiful black witch hat appears on her head, and her clothes magically transform into an elegant black-and-gold witch costume...
Vídeo
Кролик открывает дверь девушке, девушка дает чаевые кролику и говорит « спасибо, мой ушастый друг», он закрывает за ней дверь и говорит «Пожалуйста, красотка» после того как она села в машину за руль, кролик немного отходит, девушка в дрифте уезжает, все в одной сцене. Съемка кинематографичная....
Vídeo
Animate this image realistically. Make me look like I am working at the computer: my eyes should naturally look at the screen, my hands should move naturally as if typing on the keyboard, and occasionally use the mouse. Add subtle, realistic movements to my head and body. Keep my facial...
Vídeo
«Шедевр» Духовка резко открывается. ПУФ! Облако пара исчезает — внутри стоит красивый золотистый пирог. Лиза радостно достаёт его и пробует кусочек. Лиза: «Я гений!» Пирог внезапно наклоняется и падает набок. ПЛЮХ! Лиза смотрит на него и невозмутимо говорит: Лиза: «Ну… почти.» Камера быстро...
Vídeo
В видео показана короткая драматическая история примерно на 29 секунд: * 0–4 сек. Мужчина со слезами на глазах держит оружие и выглядит глубоко расстроенным. * 4–8 сек. Он направляет оружие на женщину в клетчатой рубашке. Женщина зомби стоит спокойно, между ними напряжённая атмосфера. * 8–12 сек....
Vídeo
«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...
Vídeo
Create a premium vertical Instagram Reels advertisement introducing “JÉRÉMIE IA”, the intelligent AI assistant integrated into the GENESIS mobile application. FORMAT: - Vertical 9:16 - 1080x1920 - 15–20 seconds - Premium social media advertising - Modern motion design - Cinematic technology...
Vídeo
Сцена 1 — Появление Кивя (8 сек) Cinematic slow motion, tropical island beach, beautiful anthropomorphic kiwi woman Kivya stepping out of helicopter, glossy skin, elegant bikini, sunglasses, confident smile, other cute fruit characters watching in surprise: strawberry Klubni, banana Bananych,...
Vídeo
Сцена 1 — Появление Кивя (8 сек) Cinematic slow motion, tropical island beach, beautiful anthropomorphic kiwi woman Kivya stepping out of helicopter, glossy skin, elegant bikini, sunglasses, confident smile, other cute fruit characters watching in surprise: strawberry Klubni, banana Bananych,...
Vídeo
Кадр 1 (0–3 сек) — Остров, идиллия Что в кадре: Тропический пляж, закат. Четверо фруктов отдыхают: • Клубни потягивает коктейль • Бананыч загорает в шезлонге • Арбузиха жуёт жвачку и закатывает глаза • Яблониха стоит с микрофоном Звук: лёгкая музыка, шум волн Настроение: спокойствие перед бурей...
Os controles são gerados a partir do esquema do modelo. O código e o preço são atualizados conforme você os altera.
/run/kling-image/o1?wait=20
cotação → $ 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
}
}
}
Sua chave permanece neste navegador: ela é enviada somente à Doitong API e salva (localStorage) apenas se você marcar Lembrar. Obter uma chave de API
Edita ou recombina imagens a partir de um `prompt` de até 2500 caracteres. Aponte para as entradas com @Image1, @Image2 e assim por diante, usando até 10 em `image_urls`; `elements` adiciona personagens ou objetos, com máximo combinado de 10. `resolution` é 1K ou 2K, `num_images` é de 1 a 9, e `aspect_ratio` inclui auto, 21:9 e 3:2. A saída é png, jpeg ou webp.
Envie o nome canônico ou o nome nativo, não ambos. Nomes canônicos
promptobrigatório
image_urlsobrigatório
images
elementsopcional
elements[].frontal_image_urlopcional
elements[].reference_image_urlsopcional
resolutionopcional
num_imagesopcional
num_outputs
aspect_ratioopcional
output_formatopcional
enable_safety_checkeropcional
Os parâmetros de arquivo aceitam uma URL https:// pública, um URI data: de até 10 MB ou o file_url de um upload. Arquivos
{
"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 agentes de IA: esta página em Markdown está em https://doitong.com/pt-BR/developers/models/kling-image/o1.md. Todos os modelos e guias: https://doitong.com/developers/llms.txt