Kling Image · v3 · Image to Image
Integrer
kling-image/v3/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/v3/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",
"image": "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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/kling-image/v3/image-to-image?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + 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",
"image": "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/v3/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/no/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/v3/image-to-image",
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
}
Kall Kling Image · v3 · Image to Image-modellen (kling-image/v3/image-to-image) gjennom Doitong API. Dokumentasjon for agenter: https://doitong.com/no/developers/models/kling-image/v3/image-to-image.md
POST https://api.doitong.com/v1/run/kling-image/v3/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",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
Hvis responsstatusen er "queued" eller "running", send GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20-forespørsler til den er "succeeded"; filene ligger i outputs[].url. POST https://api.doitong.com/v1/quote/kling-image/v3/image-to-image med samme innhold returnerer den nøyaktige prisen før kjøringen.
Denne forespørselen: 0,028 $ 28 API-kreditter Kjør den på denne siden
Din nye API-nøkkel. Den vises bare nå og er allerede satt inn i koden og i API-nøkkelfeltet nedenfor. Hold den hemmelig: Legg den aldri i kode som kjører i en nettleser.
Laget på Doitong
Offentlige verk laget med Kling Image av Doitong-fellesskapet. Gjenbruk en prompt med ett klikk.
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
**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
**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
**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
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...
Video
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,...
Video
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...
Video
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....
Video
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...
Video
«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...
Video
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....
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
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...
Video
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,...
Video
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,...
Video
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...
Bygg en forespørsel
Kontrollene genereres fra modellskjemaet. Koden og prisen oppdateres når du endrer dem.
/run/kling-image/v3/image-to-image?wait=20
pris → 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/v3/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",
"image": "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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/kling-image/v3/image-to-image?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + 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",
"image": "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/v3/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/v3/image-to-image",
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
},
"wait_seconds": 20
}
}
}
Kjør denne forespørselen
Nøkkelen din blir i denne nettleseren: Den sendes bare til Doitong API og lagres bare i localStorage hvis du krysser av for Husk. Hent en API-nøkkel
Om Kling Image · v3 · Image to Image
Redigerer eller gjenskaper ett referansebilde (`image_url`) i henhold til en tekstprompt. Bildet må ha minst 300px per side og et størrelsesforhold mellom 0.40 og 2.50, med en grense på 10MB. `resolution` er 1K eller 2K, `num_images` er 1-9, og `elements` gir ansiktskontroll. Utdataformatene er jpeg, png eller webp.
Parametere
Send enten det kanoniske navnet eller det opprinnelige navnet, ikke begge. Kanoniske navn
promptobligatorisk
image_urlobligatorisk
image
elementsvalgfritt
elements[].frontal_image_urlvalgfritt
elements[].reference_image_urlsvalgfritt
resolutionvalgfritt
num_imagesvalgfritt
num_outputs
aspect_ratiovalgfritt
output_formatvalgfritt
enable_safety_checkervalgfritt
Filparametere tar imot en offentlig https:// URL, en data: URI på opptil 10 MB eller file_url fra en opplasting. Filer
Utdata
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "kling-image/v3/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_url": "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"
}
}
Utdatafelt
- images
- array of object {url, content_type, file_name, file_size, width, height}Bilder produsert av modellen.
Andre Kling Image-varianter
Flere modeller: Bilderedigering
For AI-agenter: Denne siden som Markdown finnes på https://doitong.com/no/developers/models/kling-image/v3/image-to-image.md. Alle modeller og veiledninger: https://doitong.com/developers/llms.txt






