GPT Image 2.5 Text to Image
Integroi
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/fi/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"
}
}
Kutsu mallia GPT Image 2.5 Text to Image (openai/gpt-image-2.5/flare/text-to-image) Doitong API:n kautta. Dokumentaatio agenteille: https://doitong.com/fi/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"
}
Jos vastauksen tila on "queued" tai "running", kysy GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 uudelleen, kunnes tila on "succeeded"; tiedostot ovat kohteessa outputs[].url. POST https://api.doitong.ru/v1/quote/openai/gpt-image-2.5/flare/text-to-image samalla rungolla palauttaa tarkan hinnan ennen suorittamista.
Tämä pyyntö: 0,013 $ 13 API-krediittiä · ≈ 1,39 ₽ Suorita tällä sivulla
Uusi API-avaimesi. Se näytetään vain nyt, ja se on jo koodissa ja alla olevassa API-avainkentässä. Pidä se salassa: älä koskaan lisää sitä selaimessa suoritettavaan koodiin.
Esimerkit
Muodosta pyyntö
Säätimet luodaan mallin skeemasta. Koodi ja hinta päivittyvät, kun muutat arvoja.
/run/openai/gpt-image-2.5/flare/text-to-image?wait=20
hinta → 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
}
}
}
Suorita tämä pyyntö
Avaimesi säilyy tässä selaimessa: se lähetetään vain Doitong APIlle ja tallennetaan localStorageen vain, jos valitset Muista. Hanki API-avain
Tehty Doitongilla
Doitong-yhteisön GPT Image 2.5-mallilla tekemät julkiset työt. Käytä kehotetta uudelleen yhdellä napsautuksella.
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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...
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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...
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Tietoja: GPT Image 2.5 Text to Image
OpenAI:n yleiskäyttöinen kuvageneraattori: se noudattaa pitkiä ja täsmällisiä ohjeita, asettelee tekstin ja kaaviot siististi ja voi palauttaa PNG- tai WebP-kuvan läpinäkyvällä taustalla tarroja, kuvakkeita ja tuotekuvia varten. Viisi laatutasoa vaihtaa nopeuden ja hinnan yksityiskohtiin. Koko voi olla pitkältä reunalta enintään 3840 px (16:n monikertoja, enintään 3:1); enintään kymmenen kuvaa pyyntöä kohden.
Parametrit
Lähetä joko kanoninen nimi tai natiivi nimi, älä molempia. Kanoniset nimet
promptpakollinen
image_sizevalinnainen
backgroundvalinnainen
qualityvalinnainen
num_imagesvalinnainen
num_outputs
output_formatvalinnainen
output_compressionvalinnainen
Tulos
{
"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"
}
}
Tuloksen kentät
- images
- array of object {url, content_type, file_name, file_size, width, height}Mallin tuottamat kuvat.
Muut GPT Image 2.5-muunnelmat
Lisää malleja: Tekstistä kuvaksi
Tekoälyagenteille: tämän sivun Markdown-muoto on osoitteessa https://doitong.com/fi/developers/models/openai/gpt-image-2.5/flare/text-to-image.md. Kaikki mallit ja oppaat: https://doitong.com/developers/llms.txt







