GPT Image 2.5 Text to Image
Tengja
openai/gpt-image-2.5/flare/text-to-image
# 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/openai/gpt-image-2.5/flare/text-to-image?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "A handwritten recipe card titled \"Apple Pie\" on a wooden kitchen table, neat cursive ingredient list, a slice of pie on a plate beside it, cinnamon sticks, warm afternoon light, photorealistic.",
"quality": "medium"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/openai/gpt-image-2.5/flare/text-to-image?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A handwritten recipe card titled \"Apple Pie\" on a wooden kitchen table, neat cursive ingredient list, a slice of pie on a plate beside it, cinnamon sticks, warm afternoon light, photorealistic.",
"quality": "medium"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "A handwritten recipe card titled \"Apple Pie\" on a wooden kitchen table, neat cursive ingredient list, a slice of pie on a plate beside it, cinnamon sticks, warm afternoon light, photorealistic.",
"quality": "medium",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/openai/gpt-image-2.5/flare/text-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/is/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": "openai/gpt-image-2.5/flare/text-to-image",
"input": {
"prompt": "A handwritten recipe card titled \"Apple Pie\" on a wooden kitchen table, neat cursive ingredient list, a slice of pie on a plate beside it, cinnamon sticks, warm afternoon light, photorealistic.",
"quality": "medium"
}
}
Kallaðu á líkanið GPT Image 2.5 Text to Image (openai/gpt-image-2.5/flare/text-to-image) í gegnum Doitong API. Skjöl fyrir gervigreindarforrit: https://doitong.com/is/developers/models/openai/gpt-image-2.5/flare/text-to-image.md
POST https://api.doitong.ru/v1/run/openai/gpt-image-2.5/flare/text-to-image?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"prompt": "A handwritten recipe card titled \"Apple Pie\" on a wooden kitchen table, neat cursive ingredient list, a slice of pie on a plate beside it, cinnamon sticks, warm afternoon light, photorealistic.",
"quality": "medium"
}
Ef svarstaðan er "queued" eða "running" skaltu kalla reglulega á GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 þar til hún er "succeeded"; skrárnar eru í outputs[].url. POST https://api.doitong.ru/v1/quote/openai/gpt-image-2.5/flare/text-to-image með sama meginmáli skilar nákvæmu verði áður en keyrt er.
Þessi beiðni: 0,013 $ 13 API-inneignir · ≈ 1,40 ₽ Keyra á þessari síðu
Nýi API-lykillinn þinn. Hún birtist aðeins núna og er þegar í kóðanum og í API-lyklareitnum hér fyrir neðan. Haltu henni leyndri: settu hana aldrei í kóða sem keyrir í vafra.
Dæmi
Búa til beiðni
Stýringar eru búnar til út frá líkanaskemanu. Kóðinn og verðið uppfærast þegar þú breytir þeim.
/run/openai/gpt-image-2.5/flare/text-to-image?wait=20
verðtilboð → 0,013 $
# 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/openai/gpt-image-2.5/flare/text-to-image?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "A handwritten recipe card titled \"Apple Pie\" on a wooden kitchen table, neat cursive ingredient list, a slice of pie on a plate beside it, cinnamon sticks, warm afternoon light, photorealistic.",
"quality": "medium"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/openai/gpt-image-2.5/flare/text-to-image?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A handwritten recipe card titled \"Apple Pie\" on a wooden kitchen table, neat cursive ingredient list, a slice of pie on a plate beside it, cinnamon sticks, warm afternoon light, photorealistic.",
"quality": "medium"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "A handwritten recipe card titled \"Apple Pie\" on a wooden kitchen table, neat cursive ingredient list, a slice of pie on a plate beside it, cinnamon sticks, warm afternoon light, photorealistic.",
"quality": "medium",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/openai/gpt-image-2.5/flare/text-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": "openai/gpt-image-2.5/flare/text-to-image",
"input": {
"prompt": "A handwritten recipe card titled \"Apple Pie\" on a wooden kitchen table, neat cursive ingredient list, a slice of pie on a plate beside it, cinnamon sticks, warm afternoon light, photorealistic.",
"quality": "medium"
},
"wait_seconds": 20
}
}
}
Keyra þessa beiðni
Lykillinn þinn er áfram í þessum vafra: hann er aðeins sendur til Doitong API og vistaður í localStorage aðeins ef þú hakar við Muna. Fá API-lykil
Búið til á Doitong
Opinber verk sem Doitong-samfélagið bjó til með GPT Image 2.5. Endurnotaðu beiðni með einum smelli.
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....
Um GPT Image 2.5 Text to Image
Almennur myndframleiðandi OpenAI: fylgir löngum og nákvæmum leiðbeiningum, setur upp texta og skýringarmyndir skýrt og getur skilað PNG eða WebP með gegnsæjum bakgrunni fyrir límmiða, tákn og vörumyndir. Fimm gæðastig vega saman hraða, verð og smáatriði. Stærðir ná allt að 3840 px á lengri hlið (margfeldi af 16, í mesta lagi 3:1); allt að tíu myndir í hverri beiðni.
Færibreytur
Sendu annaðhvort samræmda heitið eða upprunalega heitið, ekki bæði. Samræmd heiti
promptáskilið
image_sizevalfrjálst
backgroundvalfrjálst
qualityvalfrjálst
num_imagesvalfrjálst
num_outputs
output_formatvalfrjálst
output_compressionvalfrjálst
Úttak
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "openai/gpt-image-2.5/flare/text-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": 13,
"usd": "0.013",
"charged": 13,
"refunded": 0
},
"input": {
"prompt": "A flat vector sticker of a smiling cactus wearing sunglasses, thick white outline, no background",
"image_size": "square_hd",
"quality": "medium",
"background": "transparent"
},
"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"
}
}
Reitir úttaks
- images
- array of object {url, content_type, file_name, file_size, width, height}Myndir sem líkanið myndar.
Önnur GPT Image 2.5-tilbrigði
Fleiri líkön: Texti í mynd
Fyrir gervigreindarþjóna: þessi síða á Markdown-sniði er á https://doitong.com/is/developers/models/openai/gpt-image-2.5/flare/text-to-image.md. Öll líkön og leiðbeiningar: https://doitong.com/developers/llms.txt







