GPT-Image 1.5 · Edit
ᠵᡠᠸᡝᠪᡠᠮᠪᡳ
gpt-image-1.5/edit
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/v1/run/gpt-image-1.5/edit?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.ru/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/gpt-image-1.5/edit?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
]
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/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/gpt-image-1.5/edit", 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/mnc/developers/docs/mcp)
claude mcp add --transport http doitong-models https://api.doitong.ru/v1/mcp \
--header "Authorization: Bearer $DOITONG_API_KEY"
# 2. Your agent calls the "run" tool with:
{
"model_id": "gpt-image-1.5/edit",
"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"
]
}
}
GPT-Image 1.5 · Edit ᠮᠣᠳᡝᠯ (gpt-image-1.5/edit) ᠪᡝ Doitong API ᠵᠠᠯᡳᠨᡩᡝ ᠠᠰᡠᠮᠪᡳ. ᠠᡤᡝᠨᡨᡳ ᡩᠠᡳᠯᠠᠨ: https://doitong.com/mnc/developers/models/gpt-image-1.5/edit.md
POST https://api.doitong.ru/v1/run/gpt-image-1.5/edit?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"
]
}
ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝᠨᡳ ᠠᠨᠠᠮᡝ "queued" ᡳᠨᡠ "running" ᠪᡝ, GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 ᠪᡝ ᠠᠨᠠᠮᡝ "succeeded" ᠪᡝᠴᡳ ᠠᠰᡠᠮᠪᡳ; ᡶᡳᠯᡝ ᠪᡝ outputs[].url ᠪᡝᠴᡳ ᠣᠨᡩᠣᠮᡝ. POST https://api.doitong.ru/v1/quote/gpt-image-1.5/edit ᠪᡝ ᡝᠮᡠ ᠪᡠᠶᡝᠮᡝ ᠪᡝ ᠠᠰᡠᠮᠪᡳᡩᡝ ᠵᠠᠯᡤᠠᠨ ᠪᡝ ᠶᠠᠪᡠᠮᠪᡳ ᠰᡳᠨᡳ ᠠᠮᡤᠠ ᠠᠰᡠᠮᠪᡳ ᠣᠯᡥᠣᠮᡝ.
ᠵᠠᠨᡳ ᡥᠠᠯᠠᠮᠠ ᡥᡡᠯᠠᠨᡳ ᡶᡳᠯᡝ: $0.225 225 API ᠺᠷᡝᡩᡳᠲ · ≈ ₽23.73 ᠰᡳᠨᡳ ᡶᡳᠯᡝ ᠵᠠᠯᡤᠠᠨ ᠠᠰᡠᠮᠪᡳᠨᡳ ᠠᠯᡳᠮᠪᡳ ᡝᡵᡝ ᠵᠠᠯᡳᠨᡩᡝ ᠠᠰᡠᠮᠪᡳ
ᠰᡳᠨᡳ ᠵᠠᠮᡠᠰᡳᠨ API ᠵᡳᡵᡤᠠ. ᡝᠯᡝ ᡝᠨᡩᡝ ᡳᠯᡤᠠᠮᠪᡳ ᡝᡵᡝ ᠮᡠᠨᡩᡝ ᡴᠣᡩᡝ ᡩᠠᠮᡠ ᠮᡝᠨᡩᡝᡵᡝ ᠪᠠᡩᡝᠯᡝᠨ ᠠᠮᡪᡳ ᡳᠨᡠ API ᠵᡳᡵᡤᠠ ᡩᡝᠪᡨᡝᡵᡝ ᡩᡝ ᠠᡴᡠ᠉ ᡳᠨᡠ ᡝᡵᡝᠩᡤᡝ ᠠᠮᠪᠠᠨ ᠮᡠᠨᡩᡝ ᠪᡝ ᠠᠰᡠᡵᠠᠮᠪᡳ: ᠮᡠᡵᡝ ᡩᠠᠮᡠ ᠪᡠᠶᡝᡵᡝ ᠪᠠᡩᡝᠯᡝᠨ ᡩᡝ ᠰᡳᠨᡩᡝᠮᡝ ᠠᠪᡠᠮᡝ ᠰᠠᠮᡪᡳ᠉
Doitong ᡩᡝ ᠪᡠᠶᡝᠮᡝ
Doitong ᡤᡝᠮᡠᠨᡳ GPT-Image 1.5 ᡩᡝ ᠵᠠᠯᠠᠨ ᠪᡠᠶᡝᠮᡝ᠈ ᡳᠨᡳ ᡤᡳᠰᡠᠨ ᡝᠮᡠ ᡤᡳᠯᠠᠨ ᡩᡝ ᡩᠠᡵᠠᠮᡝ
Art style: Кинематографичный, реалистичный стиль. Она отнимает полотенце от лица. В зеркале — ее обычное, симпатичное лицо. Она смотрит с недоверием, затем на ее лице появляется огромное облегчение и легкая, искренняя улыбка. Свет снова становится теплым. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━...
Grungy analog photo of Daphne Blake (from Serial scooby doo) watching her own movie on a 90s CRT TV in a dimly lit bedroom. The TV clearly shows animated scene from scooby doo, with a cartoon-style Daphne in her classic clothes on screen, smiling. Daphne Blake is sitting cross-legged on the floor...
Strong rule: style --- Cinematic Realistic ---. Энергичная девушка 27 лет с широкой лучезарной улыбкой и задорными искорками в темных глазах. Короткая стильная стрижка пикси, волосы выкрашены в модный пепельный блонд. Одета в яркую джинсовую куртку с цветными нашивками и белую футболку. Образ...
Strong rule: style --- Cinematic Realistic ---. Молодая женщина около 30 лет, утонченные черты лица, высокие скулы, пронзительные зеленые глаза. Волосы уложены в безупречное каре каштанового цвета. Одета в дорогой шелковый бежевый блейзер и изящные золотые украшения. Образ излучает уверенность,...
Use facial feature of attached photo. A realistic portrait of a woman with black hair loosely tied back, sitting outside a whitewashed stone house with a conical roof in a quiet Italian village. She wears a soft yellow floral summer dress with puff sleeves and white strappy heels. A wicker basket...
Фотореалистичная рекламная композиция в вертикальном формате 9:16. На переднем плане большая яркая глянцевая фольгированная розово-синяя упаковка чипсов в современном стильном дизайне, с глянцевой поверхностью, бликами и складками, как у реального продукта. В левом углу упаковки средний логотип...
Art style: Кинематографичный, реалистичный стиль. Резкая смена кадра. Девушка с ужасом смотрит на себя в зеркало. Маска снята, но ее лицо гротескно искажено: глаза слишком большие, улыбка растянута неестественно. Освещение стало холодным и резким. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ FINAL...
Art style: Кинематографичный, реалистичный стиль. Резкая смена кадра. Девушка с ужасом смотрит на себя в зеркало. Маска снята, но ее лицо гротескно искажено: глаза слишком большие, улыбка растянута неестественно. Освещение стало холодным и резким. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ FINAL...
Art style: Realistic Photography. Средний план. Самат сидит за минималистичным рабочим столом, смотрит прямо в камеру. На столе ноутбук и чашка кофе. Эстетика "Expert & Leader". ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ FINAL STYLE ENFORCEMENT (this is the authoritative rendering directive — it...
Art style: 90s Cinematic Fashion. Vertical 9:16 cinematic rear three-quarter exterior shot of a period-accurate four-door yellow New York taxi parked parallel and close to a Manhattan curb. The camera is positioned on the sidewalk slightly BEHIND the woman and man, looking diagonally toward the...
Use facial feature of attached photo. A realistic street style portrait of a smiling woman with shoulder-length black hair standing beside a small vintage white three-wheeled vehicle in a narrow old-town street. She wears a flowing pale yellow floral dress with a deep neckline and a front slit,...
Editorial business conference photography, a middle-aged man with short silver hair, warm olive skin, deep brown eyes, thick dark eyebrows, a neatly trimmed salt-and-pepper beard and mustache, strong jawline, calm confident expression, standing directly on the front edge of a massive keynote...
Use facial feature of attached photo. A realistic portrait of a woman with black hair loosely tied back, sitting outside a whitewashed stone house with a conical roof in a quiet Italian village. She wears a soft yellow floral summer dress with puff sleeves and white strappy heels. A wicker basket...
Art style: Кинематографичный, теплый и эмоциональный, в ст.... Солнечный осенний парк, дорожка усыпана желтыми листьями. Молодая мама и маленький мальчик идут рука об руку, улыбаясь друг другу. Свет мягкий и теплый, создавая уютную атмосферу. Стиль: теплая, кинематографичная фотография....
Art style: Кинематографичный, теплый и эмоциональный, в ст.... Мама и Мироша снова идут по дорожке парка. Теперь мама держит его на руках, и он с улыбкой смотрит по сторонам, показывая на что-то пальцем. На его лице больше нет слез. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ FINAL STYLE ENFORCEMENT...
Art style: Кинематографичный, теплый и эмоциональный, в ст.... Крупный план: Мироша сидит на земле, его лицо искажено плачем, на глазах блестят слезы. Одна коленка испачкана землей. На заднем плане размытый силуэт подбегающей мамы. Композиция передает внезапность и расстройство....
ᡤᡳᠰᡠᠨ ᠪᡠᠶᡝᠮᡝ
ᠵᠠᡴᡠᠨᡳ ᠵᡠᠯᡝ ᡩᡝᡵᡤᡳ ᡩᡝᠪᡝᠰᡠᠮᡝ ᠵᡠᠯᡤᡝ ᠪᡠᠶᡝᠮᡝ᠈ ᡳᠨᡳ ᡤᡳᠰᡠᠨ ᠪᠠᡳ ᡝᠨᡝᠩᡤᡳ ᠠᠮᠪᡳ
/run/gpt-image-1.5/edit?wait=20
ᠵᠠᠯᡳᠨ → $0.225
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/v1/run/gpt-image-1.5/edit?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.ru/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/gpt-image-1.5/edit?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
]
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/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/gpt-image-1.5/edit", 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": "gpt-image-1.5/edit",
"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
}
}
}
ᡝᠨᡳ ᠵᠠᠯᡳᠨ ᠪᡝ ᠵᠠᠯᠠᠨᠠᠮᡝ
ᡳᠨᡝ ᠵᠠᠯᠠᠨ ᡝᡵᡝ ᠪᡠᡵᡝᠪᡝᡵᡳ ᡩᡝ ᠪᡳᠮᡝ᠈ Doitong API ᡩᡝ ᠵᡝᠯᡤᡳ ᡩᠠᡵᠠᠮᡝ᠈ Remember ᠵᡠᠯᡝᠮᡝ ᡤᡳᠯᠠᠮᡝ localStorage ᡩᡝ ᠰᡠᠯᡝᠮᡝ ᠪᡳᠮᡝ API ᠵᠠᠯᠠᠨ ᠠᠪᠠᠮᡝ
GPT-Image 1.5 · Edit ᡠᡵᡝᠮᡝ
32000 ᡥᡝᡵᡤᡝᠨ ᡩᡝ ᡳᠰᡳᠨᠠᡵᠠ ᡥᡡᠯᠠᠨ ᠪᡝ ᠪᠠᡳᡨᠠᠯᠠᠮᡝ `image_urls` ᡳ ᠠᠯᡳᠨ ᡤᡳᠰᡠᡵᡝᠩᡤᡝ ᡤᠠᠳᠠᠨ ᠪᡝ ᡩᠠᠰᠠᠮᠪᡳ. ᠰᠣᠩᡤᠣᠴᡳ ᠣᠮᠪᡳ `mask_image_url` ᡳ ᡥᠠᠯᠠᡵᠠ ᠪᠠ ᠪᡝ ᡨᡝᠮᡤᡝᠯᡝᠮᠪᡳ. `input_fidelity` ᠣᠴᡳ low ᡝᡳᡨᡝᠨ high (ᠵᡠᠯᡝ high), ᠴᠠᠨᠠᡵ ᠣᠴᡳ low, medium ᡝᡳᡨᡝᠨ high, ᠠᠮᠪᠠ ᠠᠵᡳᡤᡝ ᠣᠴᡳ auto ᡝᡳᡨᡝᠨ ᡳᠯᠠᠨ ᡨᠣᡴᡨᠣᠪᡠᡥᠠ ᡥᡝᠮᠵᡝᠨ ᡳ ᡝᠮᡠ. png, jpeg ᡝᡳᡨᡝᠨ webp ᠠᡵᠪᡠᠨ ᡳ 4 ᡤᠠᠳᠠᠨ ᡩᡝ ᡳᠰᡳᠨᠠᠮᠪᡳ.
ᠵᠠᡴᡠᠨ
ᠵᠠᡴᡠᠨᡳ ᡤᡳᠰᡠᠨ ᠵᡝᠯᡤᡳ ᠠᠪᠠᠮᠪᡳ᠈ ᠨᡝᠮᡝ ᠮᡠᠰᡝ ᡠᠯᠠᠮᠪᡳ ᠵᠠᡴᡠᠨᡳ ᡤᡳᠰᡠᠨ
promptᡴᠠᠷᠠᡴᡡ
image_urlsᡴᠠᠷᠠᡴᡡ
images
image_sizeᠵᡠᠯᡝ
backgroundᠵᡠᠯᡝ
qualityᠵᡠᠯᡝ
input_fidelityᠵᡠᠯᡝ
num_imagesᠵᡠᠯᡝ
num_outputs
output_formatᠵᡠᠯᡝ
mask_image_urlᠵᡠᠯᡝ
ᠪᡠᠮᠪᡳᠯᡝᠰᡝ ᡝᠮᡠ ᡤᡝᠮᡠᠨᡳ https:// URL᠈ 10 MB ᡩᡝ ᡩᡝᠷᡤᡳ data: URI ᠵᡝᡵᡤᡳ ᡝᠮᡝ᠈ ᡳᠨᡝ ᠪᡠᠮᠪᡳᠯᡝᠰᡝᠨᡳ file_url ᠠᠪᠠᠮᠪᡳ ᠪᡠᠮᠪᡳ
ᠪᡠᠶᡝᠮᡝ
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "gpt-image-1.5/edit",
"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": 225,
"usd": "0.225",
"charged": 225,
"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.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
ᠪᡠᠶᡝᠮᡝᠨᡳ ᡤᡳᠰᡠᠨ
- images
- array of object {url, content_type, file_name, file_size, width, height}ᠮᠣᡩᡝᠯ ᠪᡠᠶᡝᠮᡝᠨᡳ ᠤᠯᡥᠠᠨ ᠤᠨᠠᠰᡳᠨ᠉
ᡝᠯᡤᡳ GPT-Image 1.5 ᡠᠯᡤᡳᠨ
ᡝᠯᡤᡳ ᡩᠠᠯᡳᠨ: ᡤᠠᠳᠠᠨ ᠵᠠᠰᡳᠨ
AI ᠠᡤᡝᠨᡨᡳ ᡠᠴᡠᠷᡳ᠈ ᡝᡵᡝ ᡩᡝᠪᡝᡵᡳ Markdown ᠰᡳᠨᡩᠠᡵᡳ https://doitong.com/mnc/developers/models/gpt-image-1.5/edit.md. ᡝᡵᡝ ᠮᠣᡩᡝᠯ ᠵᠠᡴᡠᠨ ᠰᡠᠯᡠᠮᡝ https://doitong.com/developers/llms.txt






