即梦图像编辑
curl --request POST \
--url https://octopusx.ai/v1/images/edits \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "<string>",
"prompt": "<string>",
"n": 123,
"ratio": "<string>",
"quality": "<string>",
"response_format": "<string>",
"resolution": "<string>"
}
'import requests
url = "https://octopusx.ai/v1/images/edits"
payload = {
"model": "<string>",
"prompt": "<string>",
"n": 123,
"ratio": "<string>",
"quality": "<string>",
"response_format": "<string>",
"resolution": "<string>"
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
model: '<string>',
prompt: '<string>',
n: 123,
ratio: '<string>',
quality: '<string>',
response_format: '<string>',
resolution: '<string>'
})
};
fetch('https://octopusx.ai/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://octopusx.ai/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([
'model' => '<string>',
'prompt' => '<string>',
'n' => 123,
'ratio' => '<string>',
'quality' => '<string>',
'response_format' => '<string>',
'resolution' => '<string>'
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"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://octopusx.ai/v1/images/edits"
payload := strings.NewReader("{\n \"model\": \"<string>\",\n \"prompt\": \"<string>\",\n \"n\": 123,\n \"ratio\": \"<string>\",\n \"quality\": \"<string>\",\n \"response_format\": \"<string>\",\n \"resolution\": \"<string>\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
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://octopusx.ai/v1/images/edits")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"<string>\",\n \"prompt\": \"<string>\",\n \"n\": 123,\n \"ratio\": \"<string>\",\n \"quality\": \"<string>\",\n \"response_format\": \"<string>\",\n \"resolution\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://octopusx.ai/v1/images/edits")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"model\": \"<string>\",\n \"prompt\": \"<string>\",\n \"n\": 123,\n \"ratio\": \"<string>\",\n \"quality\": \"<string>\",\n \"response_format\": \"<string>\",\n \"resolution\": \"<string>\"\n}"
response = http.request(request)
puts response.read_body{
"created": 1735689600,
"data": [
{
"url": "https://example.com/edited-image.png",
"revised_prompt": "参考图片生成写实类型的图像"
}
]
}
即梦图像
即梦图像编辑
使用 POST /v1/images/edits 基于参考图编辑生成新图像。
POST
https://octopusx.ai
/
v1
/
images
/
edits
即梦图像编辑
curl --request POST \
--url https://octopusx.ai/v1/images/edits \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "<string>",
"prompt": "<string>",
"n": 123,
"ratio": "<string>",
"quality": "<string>",
"response_format": "<string>",
"resolution": "<string>"
}
'import requests
url = "https://octopusx.ai/v1/images/edits"
payload = {
"model": "<string>",
"prompt": "<string>",
"n": 123,
"ratio": "<string>",
"quality": "<string>",
"response_format": "<string>",
"resolution": "<string>"
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
model: '<string>',
prompt: '<string>',
n: 123,
ratio: '<string>',
quality: '<string>',
response_format: '<string>',
resolution: '<string>'
})
};
fetch('https://octopusx.ai/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://octopusx.ai/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([
'model' => '<string>',
'prompt' => '<string>',
'n' => 123,
'ratio' => '<string>',
'quality' => '<string>',
'response_format' => '<string>',
'resolution' => '<string>'
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"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://octopusx.ai/v1/images/edits"
payload := strings.NewReader("{\n \"model\": \"<string>\",\n \"prompt\": \"<string>\",\n \"n\": 123,\n \"ratio\": \"<string>\",\n \"quality\": \"<string>\",\n \"response_format\": \"<string>\",\n \"resolution\": \"<string>\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
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://octopusx.ai/v1/images/edits")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"<string>\",\n \"prompt\": \"<string>\",\n \"n\": 123,\n \"ratio\": \"<string>\",\n \"quality\": \"<string>\",\n \"response_format\": \"<string>\",\n \"resolution\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://octopusx.ai/v1/images/edits")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"model\": \"<string>\",\n \"prompt\": \"<string>\",\n \"n\": 123,\n \"ratio\": \"<string>\",\n \"quality\": \"<string>\",\n \"response_format\": \"<string>\",\n \"resolution\": \"<string>\"\n}"
response = http.request(request)
puts response.read_body{
"created": 1735689600,
"data": [
{
"url": "https://example.com/edited-image.png",
"revised_prompt": "参考图片生成写实类型的图像"
}
]
}
即梦图像编辑
OpenAI 兼容格式的图像编辑接口,使用multipart/form-data 提交,支持基于参考图生成新图像。
- 路由入口是
POST /v1/images/edits。 - 当前使用
multipart/form-data提交。 - 必须传入参考图片文件进行编辑。
- 支持即梦模型的图像编辑能力。
支持模型
jimeng-4.0:即梦 4.0 模型jimeng-4.5:即梦 4.5 模型
方法与路径
POST /v1/images/edits
请求示例
curl -X POST https://octopusx.ai/v1/images/edits \
-H "Authorization: Bearer YOUR_API_KEY" \
-F "model=jimeng-4.0" \
-F "prompt=参考图片生成写实类型的图像" \
-F "image=@/path/to/image.png" \
-F "n=1" \
-F "ratio=16:9"
import requests
with open("image.png", "rb") as f:
resp = requests.post(
"https://octopusx.ai/v1/images/edits",
headers={"Authorization": "Bearer YOUR_API_KEY"},
data={
"model": "jimeng-4.0",
"prompt": "参考图片生成写实类型的图像",
"n": 1,
"ratio": "16:9",
},
files={"image": f},
timeout=60,
)
print(resp.json())
响应示例
{
"created": 1735689600,
"data": [
{
"url": "https://example.com/edited-image.png",
"revised_prompt": "参考图片生成写实类型的图像"
}
]
}
认证
Authorization: Bearer YOUR_API_KEY
Body
模型名称。例如
jimeng-4.0、jimeng-4.5。提示词。描述编辑内容的文本,支持中文和英文。
要编辑的图片。上传单个图片文件,用于编辑。必须是受支持的图片文件,支持 png、webp、jpg 格式,每张图片大小不超过 25MB。
图像数量。生成图片的数量,默认为 1。
生成图像的尺寸比例。例如
16:9、1:1、9:16 等。生成图像的质量。
auto(默认)将自动为给定模型选择最佳质量。gpt-image-l 支持 high、medium、low;dall-e-3 支持 hd、standard;dall-e-2 只支持 standard。返回生成图像的格式。必须是
url 或 b64_json 之一。分辨率。可选值:
1k、2k、4k。Response
生成时间戳(Unix 时间戳)。
生成结果数组。
生成图片的 URL 地址。
改写后的提示词(部分上游会返回)。
相关接口
⌘I