GPT Image 2.5 Edit
I-integrate
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/fil/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"
}
}
Tawagin ang modelong GPT Image 2.5 Edit (openai/gpt-image-2.5/flare/edit) sa pamamagitan ng Doitong API. Dokumentasyon para sa mga agent: https://doitong.com/fil/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"
}
Kung ang response status ay "queued" o "running", i-poll ang GET https://vit.doitong.com/api/v1/requests/REQUEST_ID?wait=20 hanggang maging "succeeded"; nasa outputs[].url ang mga file. Ang POST https://vit.doitong.com/api/v1/quote/openai/gpt-image-2.5/flare/edit na may parehong body ay nagbabalik ng eksaktong presyo bago patakbuhin.
Kahilingang ito: ≈$0.12 120 kredito ng API Patakbuhin ito sa page na ito
Ang bago mong API key. Ipinapakita lang ito ngayon at nasa code at sa field ng API key sa ibaba na. Panatilihin itong sikreto: huwag kailanman ilagay sa code na tumatakbo sa browser.
Dito mapupunta ang iyong unang resulta
Bumuo ng kahilingan sa ibaba at patakbuhin ito gamit ang iyong API key. Kinokopya ang mga output sa aming storage, na pinananatili nang walang hanggan o 7 araw nang libre.
Bumuo ng kahilingan
Ang mga control ay binubuo mula sa schema ng modelo. Nagbabago ang code at presyo habang ina-adjust mo ang mga ito.
/run/openai/gpt-image-2.5/flare/edit?wait=20
presyo → $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
}
}
}
Patakbuhin ang kahilingang ito
Nananatili ang iyong key sa browser na ito: ipinapadala lamang ito sa Doitong API at sine-save (localStorage) lamang kung pipiliin mo ang Tandaan. Kumuha ng API key
Tungkol sa GPT Image 2.5 Edit
Editing mode ng GPT Image 2.5: ilarawan ang pagbabago at magpasa ng hanggang 16 reference larawan, optional na may mask na naglilimita kung saan maaaring gumuhit ang modelo. Sinusuportahan ang transparent background, limang quality level at hanggang g sampung resulta bawat kahilingan.
Mga parameter
Ipadala ang canonical na pangalan o ang native na pangalan, hindi pareho. Mga canonical na pangalan
promptkinakailangan
image_urlskinakailangan
images
mask_urlopsyonal
mask
image_sizeopsyonal
backgroundopsyonal
qualityopsyonal
num_imagesopsyonal
num_outputs
output_formatopsyonal
output_compressionopsyonal
Tumatanggap ang mga parameter ng file ng pampublikong https:// URL, data: URI na hanggang 10 MB, o file_url ng isang upload. Mga file
Output
{
"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"
}
}
Mga field ng output
- images
- array of object {url, content_type, file_name, file_size, width, height}Mga larawang ginawa ng modelo.
Iba pang variant ng GPT Image 2.5
Higit pang modelo: Pag-edit ng Larawan
Para sa mga AI agent: nasa Markdown ang pahinang ito sa https://doitong.com/fil/developers/models/openai/gpt-image-2.5/flare/edit.md. Lahat ng modelo at gabay: https://doitong.com/developers/llms.txt










