OpenAI图片编辑接口
curl --request POST \
--url https://api.example.com/v1/images/edits \
--header 'Authorization: <authorization>' \
--header 'Content-Type: application/json' \
--data '
{
"images": [
{
"image_url": "<string>",
"file_id": "<string>"
}
],
"prompt": "<string>",
"model": "<string>",
"background": "<string>",
"input_fidelity": "<string>",
"mask": {
"image_url": "<string>",
"file_id": "<string>"
},
"n": 123,
"output_compression": 123,
"output_format": "<string>",
"partial_images": 123,
"response_format": "<string>",
"quality": "<string>",
"size": "<string>",
"stream": true,
"user": "<string>"
}
'import requests
url = "https://api.example.com/v1/images/edits"
payload = {
"images": [
{
"image_url": "<string>",
"file_id": "<string>"
}
],
"prompt": "<string>",
"model": "<string>",
"background": "<string>",
"input_fidelity": "<string>",
"mask": {
"image_url": "<string>",
"file_id": "<string>"
},
"n": 123,
"output_compression": 123,
"output_format": "<string>",
"partial_images": 123,
"response_format": "<string>",
"quality": "<string>",
"size": "<string>",
"stream": True,
"user": "<string>"
}
headers = {
"Authorization": "<authorization>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: '<authorization>', 'Content-Type': 'application/json'},
body: JSON.stringify({
images: [{image_url: '<string>', file_id: '<string>'}],
prompt: '<string>',
model: '<string>',
background: '<string>',
input_fidelity: '<string>',
mask: {image_url: '<string>', file_id: '<string>'},
n: 123,
output_compression: 123,
output_format: '<string>',
partial_images: 123,
response_format: '<string>',
quality: '<string>',
size: '<string>',
stream: true,
user: '<string>'
})
};
fetch('https://api.example.com/v1/images/edits', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.example.com/v1/images/edits",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'images' => [
[
'image_url' => '<string>',
'file_id' => '<string>'
]
],
'prompt' => '<string>',
'model' => '<string>',
'background' => '<string>',
'input_fidelity' => '<string>',
'mask' => [
'image_url' => '<string>',
'file_id' => '<string>'
],
'n' => 123,
'output_compression' => 123,
'output_format' => '<string>',
'partial_images' => 123,
'response_format' => '<string>',
'quality' => '<string>',
'size' => '<string>',
'stream' => true,
'user' => '<string>'
]),
CURLOPT_HTTPHEADER => [
"Authorization: <authorization>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.example.com/v1/images/edits"
payload := strings.NewReader("{\n \"images\": [\n {\n \"image_url\": \"<string>\",\n \"file_id\": \"<string>\"\n }\n ],\n \"prompt\": \"<string>\",\n \"model\": \"<string>\",\n \"background\": \"<string>\",\n \"input_fidelity\": \"<string>\",\n \"mask\": {\n \"image_url\": \"<string>\",\n \"file_id\": \"<string>\"\n },\n \"n\": 123,\n \"output_compression\": 123,\n \"output_format\": \"<string>\",\n \"partial_images\": 123,\n \"response_format\": \"<string>\",\n \"quality\": \"<string>\",\n \"size\": \"<string>\",\n \"stream\": true,\n \"user\": \"<string>\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "<authorization>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.example.com/v1/images/edits")
.header("Authorization", "<authorization>")
.header("Content-Type", "application/json")
.body("{\n \"images\": [\n {\n \"image_url\": \"<string>\",\n \"file_id\": \"<string>\"\n }\n ],\n \"prompt\": \"<string>\",\n \"model\": \"<string>\",\n \"background\": \"<string>\",\n \"input_fidelity\": \"<string>\",\n \"mask\": {\n \"image_url\": \"<string>\",\n \"file_id\": \"<string>\"\n },\n \"n\": 123,\n \"output_compression\": 123,\n \"output_format\": \"<string>\",\n \"partial_images\": 123,\n \"response_format\": \"<string>\",\n \"quality\": \"<string>\",\n \"size\": \"<string>\",\n \"stream\": true,\n \"user\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.example.com/v1/images/edits")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = '<authorization>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"images\": [\n {\n \"image_url\": \"<string>\",\n \"file_id\": \"<string>\"\n }\n ],\n \"prompt\": \"<string>\",\n \"model\": \"<string>\",\n \"background\": \"<string>\",\n \"input_fidelity\": \"<string>\",\n \"mask\": {\n \"image_url\": \"<string>\",\n \"file_id\": \"<string>\"\n },\n \"n\": 123,\n \"output_compression\": 123,\n \"output_format\": \"<string>\",\n \"partial_images\": 123,\n \"response_format\": \"<string>\",\n \"quality\": \"<string>\",\n \"size\": \"<string>\",\n \"stream\": true,\n \"user\": \"<string>\"\n}"
response = http.request(request)
puts response.read_body{
"created": 123,
"output_format": "<string>",
"background": "<string>",
"quality": "<string>",
"size": "<string>",
"data": [
{
"b64_json": "<string>",
"revised_prompt": "<string>",
"url": "<string>"
}
],
"usage": {
"output_tokens_details": {
"image_tokens": 123,
"text_tokens": 123
},
"input_tokens": 123,
"output_tokens": 123,
"total_tokens": 123,
"input_tokens_details": {
"image_tokens": 123,
"text_tokens": 123
}
}
}图片
OpenAI 图片编辑接口
编辑已有图片,兼容 OpenAI Images 协议,支持 Inpainting 局部重绘与 Outpainting 画面扩展
POST
/
v1
/
images
/
edits
OpenAI图片编辑接口
curl --request POST \
--url https://api.example.com/v1/images/edits \
--header 'Authorization: <authorization>' \
--header 'Content-Type: application/json' \
--data '
{
"images": [
{
"image_url": "<string>",
"file_id": "<string>"
}
],
"prompt": "<string>",
"model": "<string>",
"background": "<string>",
"input_fidelity": "<string>",
"mask": {
"image_url": "<string>",
"file_id": "<string>"
},
"n": 123,
"output_compression": 123,
"output_format": "<string>",
"partial_images": 123,
"response_format": "<string>",
"quality": "<string>",
"size": "<string>",
"stream": true,
"user": "<string>"
}
'import requests
url = "https://api.example.com/v1/images/edits"
payload = {
"images": [
{
"image_url": "<string>",
"file_id": "<string>"
}
],
"prompt": "<string>",
"model": "<string>",
"background": "<string>",
"input_fidelity": "<string>",
"mask": {
"image_url": "<string>",
"file_id": "<string>"
},
"n": 123,
"output_compression": 123,
"output_format": "<string>",
"partial_images": 123,
"response_format": "<string>",
"quality": "<string>",
"size": "<string>",
"stream": True,
"user": "<string>"
}
headers = {
"Authorization": "<authorization>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: '<authorization>', 'Content-Type': 'application/json'},
body: JSON.stringify({
images: [{image_url: '<string>', file_id: '<string>'}],
prompt: '<string>',
model: '<string>',
background: '<string>',
input_fidelity: '<string>',
mask: {image_url: '<string>', file_id: '<string>'},
n: 123,
output_compression: 123,
output_format: '<string>',
partial_images: 123,
response_format: '<string>',
quality: '<string>',
size: '<string>',
stream: true,
user: '<string>'
})
};
fetch('https://api.example.com/v1/images/edits', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.example.com/v1/images/edits",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'images' => [
[
'image_url' => '<string>',
'file_id' => '<string>'
]
],
'prompt' => '<string>',
'model' => '<string>',
'background' => '<string>',
'input_fidelity' => '<string>',
'mask' => [
'image_url' => '<string>',
'file_id' => '<string>'
],
'n' => 123,
'output_compression' => 123,
'output_format' => '<string>',
'partial_images' => 123,
'response_format' => '<string>',
'quality' => '<string>',
'size' => '<string>',
'stream' => true,
'user' => '<string>'
]),
CURLOPT_HTTPHEADER => [
"Authorization: <authorization>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.example.com/v1/images/edits"
payload := strings.NewReader("{\n \"images\": [\n {\n \"image_url\": \"<string>\",\n \"file_id\": \"<string>\"\n }\n ],\n \"prompt\": \"<string>\",\n \"model\": \"<string>\",\n \"background\": \"<string>\",\n \"input_fidelity\": \"<string>\",\n \"mask\": {\n \"image_url\": \"<string>\",\n \"file_id\": \"<string>\"\n },\n \"n\": 123,\n \"output_compression\": 123,\n \"output_format\": \"<string>\",\n \"partial_images\": 123,\n \"response_format\": \"<string>\",\n \"quality\": \"<string>\",\n \"size\": \"<string>\",\n \"stream\": true,\n \"user\": \"<string>\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "<authorization>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.example.com/v1/images/edits")
.header("Authorization", "<authorization>")
.header("Content-Type", "application/json")
.body("{\n \"images\": [\n {\n \"image_url\": \"<string>\",\n \"file_id\": \"<string>\"\n }\n ],\n \"prompt\": \"<string>\",\n \"model\": \"<string>\",\n \"background\": \"<string>\",\n \"input_fidelity\": \"<string>\",\n \"mask\": {\n \"image_url\": \"<string>\",\n \"file_id\": \"<string>\"\n },\n \"n\": 123,\n \"output_compression\": 123,\n \"output_format\": \"<string>\",\n \"partial_images\": 123,\n \"response_format\": \"<string>\",\n \"quality\": \"<string>\",\n \"size\": \"<string>\",\n \"stream\": true,\n \"user\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.example.com/v1/images/edits")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = '<authorization>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"images\": [\n {\n \"image_url\": \"<string>\",\n \"file_id\": \"<string>\"\n }\n ],\n \"prompt\": \"<string>\",\n \"model\": \"<string>\",\n \"background\": \"<string>\",\n \"input_fidelity\": \"<string>\",\n \"mask\": {\n \"image_url\": \"<string>\",\n \"file_id\": \"<string>\"\n },\n \"n\": 123,\n \"output_compression\": 123,\n \"output_format\": \"<string>\",\n \"partial_images\": 123,\n \"response_format\": \"<string>\",\n \"quality\": \"<string>\",\n \"size\": \"<string>\",\n \"stream\": true,\n \"user\": \"<string>\"\n}"
response = http.request(request)
puts response.read_body{
"created": 123,
"output_format": "<string>",
"background": "<string>",
"quality": "<string>",
"size": "<string>",
"data": [
{
"b64_json": "<string>",
"revised_prompt": "<string>",
"url": "<string>"
}
],
"usage": {
"output_tokens_details": {
"image_tokens": 123,
"text_tokens": 123
},
"input_tokens": 123,
"output_tokens": 123,
"total_tokens": 123,
"input_tokens_details": {
"image_tokens": 123,
"text_tokens": 123
}
}
}此接口兼容 OpenAI Images 协议,基于输入的源图片与编辑提示词生成新图片,支持局部重绘、画面扩展与多图融合等编辑场景。
编辑成功后返回图片数据:
功能特性
- 支持通过 URL 地址或文件 ID 引用待编辑的源图片
- 支持 Inpainting 局部重绘,通过
mask遮罩指定编辑区域 - 支持 Outpainting 画面扩展,通过
background提供背景图像 - 支持
input_fidelity控制输入图片保真度(high/low) - 支持
png、jpeg、webp输出格式与output_compression压缩率控制 - 支持
url与b64_json两种响应格式 - 支持流式(SSE)响应,通过
partial_images推送中间结果
认证方式
在请求头中携带Authorization 字段,格式为 Bearer YOUR_API_KEY。
支持的图片模型
模型广场中可用的图片模型,请参考 模型列表。快速示例
import requests
url = "https://api.haitoken.ai/v1/images/edits"
headers = {
"Authorization": "Bearer YOUR_API_KEY",
"Content-Type": "application/json"
}
data = {
"model": "gpt-image-2",
"images": [
{"image_url": "https://example.com/images/cat.png"}
],
"prompt": "把背景换成日落时分的海边,保持猫咪不变",
"size": "1024x1024",
"quality": "high",
"n": 1
}
response = requests.post(url, json=data, headers=headers)
print(response.json())
const response = await fetch('https://api.haitoken.ai/v1/images/edits', {
method: 'POST',
headers: {
'Authorization': 'Bearer YOUR_API_KEY',
'Content-Type': 'application/json'
},
body: JSON.stringify({
model: 'gpt-image-2',
images: [
{ image_url: 'https://example.com/images/cat.png' }
],
prompt: '把背景换成日落时分的海边,保持猫咪不变',
size: '1024x1024',
quality: 'high',
n: 1
})
});
const data = await response.json();
console.log(data);
curl -X POST 'https://api.haitoken.ai/v1/images/edits' \
-H 'Authorization: Bearer YOUR_API_KEY' \
-H 'Content-Type: application/json' \
-d '{
"model": "gpt-image-2",
"images": [
{"image_url": "https://example.com/images/cat.png"}
],
"prompt": "把背景换成日落时分的海边,保持猫咪不变",
"size": "1024x1024",
"quality": "high",
"n": 1
}'
{
"created": 1787875200,
"data": [
{
"url": "https://example.com/images/edited-1.png"
}
],
"size": "1024x1024",
"quality": "high",
"usage": {
"input_tokens": 3280,
"output_tokens": 4160,
"total_tokens": 7440,
"input_tokens_details": {
"image_tokens": 3268,
"text_tokens": 12
},
"output_tokens_details": {
"image_tokens": 4160,
"text_tokens": 0
}
}
}
下一步
- 查看 OpenAI 图片生成接口 从提示词生成图片
- 查看 Seedream 图片生成接口 了解 Seedream 扩展参数
- 查看 模型列表 了解可用的图片模型
请求体
application/json
待编辑的源图片列表
Show child attributes
Show child attributes
编辑描述提示词,描述对图片的修改内容
模型名称,如 "dall-e-2"
背景图像数据(用于 Outpainting 等扩展场景)
输入图片保真度控制,取值 high, low
遮罩图片,用于指定编辑区域(Inpainting)
Show child attributes
Show child attributes
生成图片数量
输出压缩率
输出图片格式,如 "png"、"jpeg"、"webp"
流式返回时每次推送的中间结果图片数量
响应格式,"url" 或 "b64_json"
图片质量,如 "standard"、"hd"
生成图片尺寸,如 "1024x1024"
是否使用流式响应(SSE)
终端用户标识,用于监控和滥用检测