GPT Image 2.5 Edit
Entegre et
openai/gpt-image-2.5/flare/edit
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://vit.doitong.com/api/v1/run/openai/gpt-image-2.5/flare/edit?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "Same sneaker, but on a snowy mountain trail in daylight",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg"
],
"quality": "medium"
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://vit.doitong.com/api/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://vit.doitong.com/api/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/openai/gpt-image-2.5/flare/edit?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "Same sneaker, but on a snowy mountain trail in daylight",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg"
],
"quality": "medium"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://vit.doitong.com/api/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "Same sneaker, but on a snowy mountain trail in daylight",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg",
],
"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/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/tr/developers/docs/mcp)
claude mcp add --transport http doitong-models https://vit.doitong.com/api/v1/mcp \
--header "Authorization: Bearer $DOITONG_API_KEY"
# 2. Your agent calls the "run" tool with:
{
"model_id": "openai/gpt-image-2.5/flare/edit",
"input": {
"prompt": "Same sneaker, but on a snowy mountain trail in daylight",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg"
],
"quality": "medium"
}
}
GPT Image 2.5 Edit modelini (openai/gpt-image-2.5/flare/edit) Doitong API üzerinden çağırın. Ajanlar için belgeler: https://doitong.com/tr/developers/models/openai/gpt-image-2.5/flare/edit.md
POST https://vit.doitong.com/api/v1/run/openai/gpt-image-2.5/flare/edit?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"prompt": "Same sneaker, but on a snowy mountain trail in daylight",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg"
],
"quality": "medium"
}
Yanıt durumu "queued" veya "running" ise, durum "succeeded" olana kadar GET https://vit.doitong.com/api/v1/requests/REQUEST_ID?wait=20 ile yoklayın; dosyalar outputs[].url içindedir. Aynı gövdeyle POST https://vit.doitong.com/api/v1/quote/openai/gpt-image-2.5/flare/edit, çalıştırmadan önce kesin fiyatı döndürür.
Bu istek: ≈$0,12 120 API kredisi Bu sayfada çalıştır
Yeni API anahtarınız. Yalnızca şimdi gösterilir ve zaten aşağıdaki kodda ve API anahtarı alanında bulunur. Gizli tutun: tarayıcıda çalışan kodlara asla eklemeyin.
İlk sonucunuz burada görünecek
Aşağıda bir istek oluşturun ve API anahtarınızla çalıştırın. Çıktılar depolamamıza kopyalanır ve sonsuza kadar veya ücretsiz olarak 7 gün boyunca saklanır.
İstek oluştur
Kontroller model şemasından oluşturulur. Değerleri değiştirdikçe kod ve fiyat güncellenir.
/run/openai/gpt-image-2.5/flare/edit?wait=20
fiyat → $0,12
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://vit.doitong.com/api/v1/run/openai/gpt-image-2.5/flare/edit?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "Same sneaker, but on a snowy mountain trail in daylight",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg"
],
"quality": "medium"
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://vit.doitong.com/api/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://vit.doitong.com/api/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/openai/gpt-image-2.5/flare/edit?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "Same sneaker, but on a snowy mountain trail in daylight",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg"
],
"quality": "medium"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://vit.doitong.com/api/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "Same sneaker, but on a snowy mountain trail in daylight",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg",
],
"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/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": "openai/gpt-image-2.5/flare/edit",
"input": {
"prompt": "Same sneaker, but on a snowy mountain trail in daylight",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg"
],
"quality": "medium"
},
"wait_seconds": 20
}
}
}
Bu isteği çalıştır
Anahtarınız bu tarayıcıda kalır: yalnızca Doitong API'ye gönderilir ve yalnızca Hatırla seçeneğini işaretlerseniz localStorage'a kaydedilir. API anahtarı al
GPT Image 2.5 Edit hakkında
GPT Image 2.5'in düzenleme modu: değişikliği açıklayın ve modelin boyama yapabileceği alanı sınırlayan isteğe bağlı bir maskeyle birlikte en fazla 16 referans görüntüsü gönderin. Saydam arka planları, beş kalite düzeyini ve istek başına en fazla on sonucu destekler.
Parametreler
Kanonik adı veya yerel adı gönderin; ikisini birden göndermeyin. Kanonik adlar
promptgerekli
image_urlsgerekli
images
mask_urlisteğe bağlı
mask
image_sizeisteğe bağlı
backgroundisteğe bağlı
qualityisteğe bağlı
num_imagesisteğe bağlı
num_outputs
output_formatisteğe bağlı
output_compressionisteğe bağlı
Dosya parametreleri herkese açık bir https:// URL'si, 10 MB'a kadar bir data: URI'si veya yüklenen bir dosyanın file_url değerini kabul eder. Dosyalar
Çıktı
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "openai/gpt-image-2.5/flare/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": 120,
"usd": "0.12",
"charged": 120,
"refunded": 0
},
"input": {
"prompt": "Same sneaker, but on a snowy mountain trail in daylight",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg"
],
"quality": "medium"
},
"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://vit.doitong.com/api/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://vit.doitong.com/api/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
Çıktı alanları
- images
- array of object {url, content_type, file_name, file_size, width, height}Model tarafından oluşturulan görseller.
Diğer GPT Image 2.5 varyantları
Daha fazla model: Görsel Düzenleme
AI aracıları için: bu sayfanın Markdown biçimi şurada: https://doitong.com/tr/developers/models/openai/gpt-image-2.5/flare/edit.md. Tüm modeller ve kılavuzlar: https://doitong.com/developers/llms.txt










