Kling Image · O3 · Image to Image
Integrar
kling-image/o3/image-to-image
# 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/o3/image-to-image?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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/kling-image/o3/image-to-image?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
]
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + 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/o3/image-to-image", 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.com/v1/mcp \
--header "Authorization: Bearer $DOITONG_API_KEY"
# 2. Your agent calls the "run" tool with:
{
"model_id": "kling-image/o3/image-to-image",
"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"
]
}
}
Llama al modelo Kling Image · O3 · Image to Image (kling-image/o3/image-to-image) mediante Doitong API. Documentación para agentes: https://doitong.com/es/developers/models/kling-image/o3/image-to-image.md
POST https://api.doitong.com/v1/run/kling-image/o3/image-to-image?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"
]
}
Si el estado de la respuesta es "queued" o "running", consulta GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 hasta que sea "succeeded"; los archivos están en outputs[].url. POST https://api.doitong.com/v1/quote/kling-image/o3/image-to-image con el mismo cuerpo devuelve el precio exacto antes de la ejecución.
Esta solicitud: 0,028 $ 28 créditos de API 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.
Creado en Doitong
Trabajos públicos creados con Kling Image por la comunidad de Doitong. Reutiliza un prompt con un clic.
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
**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
**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
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. (...
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
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...
Vídeo
A five-second orbital camera move circling completely around a red-haired woman in a yellow raincoat standing in an autumn forest holding a vintage lantern, she remains stationary facing forward while the camera circles 180 degrees from her left side to her right side at eye level, golden fallen...
Vídeo
A five-second whip pan transition starting on a chef in white uniform chopping fresh herbs on a wooden cutting board in a bright kitchen, camera suddenly swings in a rapid blur motion panning right at high speed creating motion blur, ending sharply focused on a barista pouring latte art in a...
Vídeo
Five-second vertical live-action shot starting from this exact woman at this exact kitchen table. Preserve her identity, sweater, white teacup, red kettle, blue napkin and room. She stays still holding the cup. Camera moves in an unnaturally perfectly smooth, continuously floating elevated arc...
Vídeo
Five-second vertical live-action shot starting from the same source photo, same woman, same identity, sweater, teacup, red kettle, blue napkin and kitchen. She stays still holding the cup exactly as in the source. An eye-level human camera operator holds position with clearly visible but gentle...
Vídeo
Five-second vertical static locked-camera shot using exactly this woman and kitchen, matching her face, sweater, teacup, kettle, napkin, pose and lighting. She sits motionless holding the cup for the entire five seconds; nothing meaningful happens. No action, no cut, no zoom or camera movement....
Vídeo
Five-second vertical edited live-action sequence with exactly the woman, mustard sweater, white cup, red kettle, napkin and kitchen from the source. Exactly three clear shots with hard cuts at 2.0 and 4.0 seconds: shot 1 close-up of her hand pouring tea from the red kettle into the white cup;...
Vídeo
Five-second photorealistic vertical video, one continuous handheld take starting from the supplied exact photograph. Preserve the SAME woman, face, short black curly hair, mustard sweater, white cup, red kettle, blue napkin and kitchen. The woman holds still. The camera visibly jitters in...
Vídeo
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...
Vídeo
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...
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...
Crear una solicitud
Los controles se generan a partir del esquema del modelo. El código y el precio se actualizan al modificarlos.
/run/kling-image/o3/image-to-image?wait=20
cotización → 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/o3/image-to-image?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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/kling-image/o3/image-to-image?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
]
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + 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/o3/image-to-image", 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/o3/image-to-image",
"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
}
}
}
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
Acerca de Kling Image · O3 · Image to Image
Transforma o combina imágenes de referencia (`image_urls`, hasta 10) siguiendo un prompt que las cita como @Image1, @Image2 y así sucesivamente. `resolution` puede ser 1K, 2K o 4K, y `aspect_ratio` incluye auto además de ocho relaciones fijas de hasta 21:9. Produce de 1 a 9 imágenes individuales con `num_images`, o un conjunto relacionado de 2 a 9 mediante `result_type` series y `series_amount`. La salida es jpeg, png o webp.
Parámetros
Envía el nombre canónico o el nombre nativo, no ambos. Nombres canónicos
promptobligatorio
image_urlsobligatorio
images
elementsopcional
elements[].frontal_image_urlopcional
elements[].reference_image_urlsopcional
resolutionopcional
result_typeopcional
num_imagesopcional
num_outputs
series_amountopcional
aspect_ratioopcional
output_formatopcional
enable_safety_checkeropcional
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-image/o3/image-to-image",
"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"
}
}
Campos de salida
- images
- array of object {url, content_type, file_name, file_size, width, height}Imágenes producidas por el modelo.
Otras variantes de Kling Image
Más modelos: Edición de imágenes
Para agentes de IA: esta página en Markdown está en https://doitong.com/es/developers/models/kling-image/o3/image-to-image.md. Todos los modelos y guías: https://doitong.com/developers/llms.txt






