gpt-image-1 · Edit Image
Integrar
gpt-image-1/edit-image
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/gpt-image-1/edit-image?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.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/gpt-image-1/edit-image?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
]
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/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/edit-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/pt-PT/developers/docs/mcp)
claude mcp add --transport http doitong-models https://api.doitong.com/v1/mcp \
--header "Authorization: Bearer $DOITONG_API_KEY"
# 2. Your agent calls the "run" tool with:
{
"model_id": "gpt-image-1/edit-image",
"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"
]
}
}
Chame o modelo gpt-image-1 · Edit Image (gpt-image-1/edit-image) através da Doitong API. Documentação para agentes: https://doitong.com/pt-PT/developers/models/gpt-image-1/edit-image.md
POST https://api.doitong.com/v1/run/gpt-image-1/edit-image?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"
]
}
Se o estado da resposta for "queued" ou "running", consulte GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 repetidamente até ficar "succeeded"; os ficheiros estão em outputs[].url. POST https://api.doitong.com/v1/quote/gpt-image-1/edit-image com o mesmo corpo devolve o preço exato antes da execução.
Ficheiros como o exemplo: 0,27 $ 270 créditos da API os seus ficheiros são medidos antes da execução Executar nesta página
A sua nova chave de API. É apresentada apenas agora e já está inserida no código e no campo da chave de API abaixo. Mantenha-a secreta: nunca a coloque em código que seja executado num navegador.
Criado na Doitong
Trabalhos públicos criados com gpt-image-1 pela comunidade Doitong. Reutilize um prompt com um clique.
A polished studio concept art board — a single composite page that reads as a high-end pre-production pitch deck for an animated short. NOT a vintage pencil sketch, NOT a finished movie frame, but a polished concept page in the visual treatment described below. Layout: TOP HEADER (left): bold...
Создай не меняя черты лица. Фотореалистичный винтажный cinematic portrait. В кадре большое напольное зеркало в тонкой арочной раме. Спиной к камере у зеркала стоит взрослая девушка-, корпус развёрнут к своему отражению, голова слегка повёрнута в профиль, взгляд направлен в зеркало на свою...
Создай не меняя черты лица. Фотореалистичный винтажный cinematic portrait. В кадре большое напольное зеркало в тонкой арочной раме. Спиной к камере у зеркала стоит взрослая девушка-, корпус развёрнут к своему отражению, голова слегка повёрнута в профиль, взгляд направлен в зеркало на свою...
Create image: ultra realistic image: man 35 years old sitting in super luxury house (ref4). Luxury furniture, marble floor with east carpet. The most luxurious way. Middle shot One cake in front of him on the marble table, with thin golden lit candles. A man sits relaxed on a luxurious sofa. The...
Create image: ultra realistic image: man 35 years old sitting in super luxury house. Luxury furniture, marble floor with east carpet. The most luxurious way. Middle shot One cake in front of him on the marble table, with thin golden lit candles. A man sits relaxed on a luxurious sofa. The man is...
Сделай этикетку на продукцию оформленную красиво и стильно в соответствии с составом. Можешь ориентироваться по стилю на фото 1. Текст на этикетке: производитель ИП Стрини Ю.Л. «соломка горбуши», состав: рыба горбуша, соль, сахар, специи. Срок хранения при t не от 0 до -3 60 суток. Вес: 500гр
Create image: ultra realistic image: man 35 years old (attached reference ) sitting in super luxury house. Luxury furniture, marble floor with east carpet. The most luxurious way. Middle shot One cake in front of him on the marble table, with thin golden lit candles. A man sits relaxed on a...
Create image: ultra realistic image: man 35 years old sitting in super luxury house. Luxury furniture, marble floor with east carpet. The most luxurious way. Middle shot One cake in front of him on the marble table, with thin golden lit candles. A man sits relaxed on a luxurious sofa. The man is...
Art style: 3D stylized animation. Вид сверху: босые ступни стоят на стильных электронных весах. Экран мягко подсвечивает цифру 70кг. Светлое пушистое ковровое покрытие с фото 2, виднеющееся по краям, озарено тёплым солнечным светом. Кадр лаконичен и целиком сосредоточен на дисплее....
Сделай этикетку на продукцию оформленную красиво и стильно в соответствии с составом. Можешь ориентироваться по стилю на фото 1. Текст на этикетке: производитель ИП Стрини Ю.Л. «соломка горбуши», состав: рыба горбуша, соль, сахар, специи. Срок хранения при t не от 0 до -3 60 суток. Вес: 500гр
Create image: ultra realistic image: man 35 years old sitting in super luxury house (ref4). Luxury furniture, marble floor with east carpet. The most luxurious way. Middle shot One cake in front of him on the marble table, with thin golden lit candles. A man sits relaxed on a luxurious sofa. The...
Art style: Реалистичный кулинарный блог. Крупный план лица ведущей. Она смотрит прямо в объектив с уверенным и ободряющим выражением. Освещение мягко подчеркивает черты ее лица, создавая естественные блики в глазах. Фон — слегка размытая кухня с теплыми огнями и зеленью за окном. Ведущая слегка...
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...
Сделай этикетку на продукцию оформленную красиво и стильно в соответствии с составом. Можешь ориентироваться по стилю на фото 1. Текст на этикетке: производитель ИП Стрини Ю.Л. «соломка кетовая», состав: рыба кета, соль, сахар, специи. Срок хранения при t не от 0 до -3 60 суток.
Art style: DreamWorks-inspired. Светлый современный косметологический кабинет из референса «Кабинет (general)»: белая кушетка по центру, глянцевый кремовый пол, шкафчики и раковина слева, на правой стене рамки сертификатов, тёплые потолочные лампы и открытая дверь в тёмное подсобное помещение....
Art style: Реалистичный кулинарный блог. Светлая современная кухня с панорамным окном, выходящим в хвойный лес. В центре кадра молодая женщина в черное платье с коротким рукавом. разминает металлической толкушкой отварной желтый картофель и ярко-зеленую мякоть авокадо в глубокой белой...
Criar um pedido
Os controlos são gerados a partir do esquema do modelo. O código e o preço são atualizados à medida que os altera.
/run/gpt-image-1/edit-image?wait=20
cotação → 0,27 $
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/gpt-image-1/edit-image?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.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/gpt-image-1/edit-image?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
]
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/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/edit-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": "gpt-image-1/edit-image",
"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
}
}
}
Executar este pedido
A sua chave permanece neste navegador: é enviada apenas para a Doitong API e guardada em localStorage apenas se selecionar Lembrar. Obter uma chave de API
Sobre gpt-image-1 · Edit Image
Gera novas imagens a partir de uma ou mais imagens de referência em `image_urls` e de um prompt. `input_fidelity` pode ser low ou high (high por predefinição) para controlar a proximidade com que as entradas são preservadas. Os tamanhos são auto, 1024x1024, 1536x1024 ou 1024x1536, com fundo auto, transparente ou opaco, até 4 imagens e saída png, jpeg ou webp.
Parâmetros
Envie o nome canónico ou o nome nativo, não ambos. Nomes canónicos
promptobrigatório
image_urlsobrigatório
images
image_sizeopcional
backgroundopcional
qualityopcional
input_fidelityopcional
num_imagesopcional
num_outputs
output_formatopcional
enable_safety_checkeropcional
Os parâmetros de ficheiro aceitam um URL https:// público, um URI data: até 10 MB ou o file_url de um carregamento. Ficheiros
Resultado
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "gpt-image-1/edit-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": 270,
"usd": "0.27",
"charged": 270,
"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.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
Campos do resultado
- images
- array of object {url, content_type, file_name, file_size, width, height}Imagens produzidas pelo modelo.
Outras variantes de gpt-image-1
Mais modelos: Edição de imagem
Para agentes de IA: esta página em Markdown está disponível em https://doitong.com/pt-PT/developers/models/gpt-image-1/edit-image.md. Todos os modelos e guias: https://doitong.com/developers/llms.txt






