AI 服务/图像生成
异步编辑图像
POST
/
api
/
ai
/
image
/
edit
/
async
异步编辑图像
curl --request POST \
--url https://aitoearn.cn/api/ai/image/edit/async \
--header 'Content-Type: application/json' \
--header 'X-Api-Key: <api-key>' \
--data '
{
"model": "gpt-image-2",
"image": "https://images.unsplash.com/photo-1592194996308-7b43878e84a6?auto=format&fit=crop&w=1024&q=80",
"prompt": "Edit the provided image into a cozy realistic scene by placing the cute orange cat beside a sunlit window. Preserve its orange fur, seated pose, and facial expression, enhance the soft natural light, add warm tones and subtle detail, and maintain a realistic photography style."
}
'import requests
url = "https://aitoearn.cn/api/ai/image/edit/async"
payload = {
"model": "gpt-image-2",
"image": "https://images.unsplash.com/photo-1592194996308-7b43878e84a6?auto=format&fit=crop&w=1024&q=80",
"prompt": "Edit the provided image into a cozy realistic scene by placing the cute orange cat beside a sunlit window. Preserve its orange fur, seated pose, and facial expression, enhance the soft natural light, add warm tones and subtle detail, and maintain a realistic photography style."
}
headers = {
"X-Api-Key": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'X-Api-Key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
model: 'gpt-image-2',
image: 'https://images.unsplash.com/photo-1592194996308-7b43878e84a6?auto=format&fit=crop&w=1024&q=80',
prompt: 'Edit the provided image into a cozy realistic scene by placing the cute orange cat beside a sunlit window. Preserve its orange fur, seated pose, and facial expression, enhance the soft natural light, add warm tones and subtle detail, and maintain a realistic photography style.'
})
};
fetch('https://aitoearn.cn/api/ai/image/edit/async', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://aitoearn.cn/api/ai/image/edit/async"
payload := strings.NewReader("{\n \"model\": \"gpt-image-2\",\n \"image\": \"https://images.unsplash.com/photo-1592194996308-7b43878e84a6?auto=format&fit=crop&w=1024&q=80\",\n \"prompt\": \"Edit the provided image into a cozy realistic scene by placing the cute orange cat beside a sunlit window. Preserve its orange fur, seated pose, and facial expression, enhance the soft natural light, add warm tones and subtle detail, and maintain a realistic photography style.\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("X-Api-Key", "<api-key>")
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))
}{
"code": 0,
"message": "请求成功",
"data": {
"logId": "string",
"status": "generating"
}
}
授权
需要从 AiToEarn 获取 API Key。点击前往「API Key 获取教程」。
请求体
application/json
原始图片
示例:
"https://images.unsplash.com/photo-1592194996308-7b43878e84a6?auto=format&fit=crop&w=1024&q=80"
编辑描述
Required string length:
1 - 4000示例:
"Edit the provided image into a cozy realistic scene by placing the cute orange cat beside a sunlit window. Preserve its orange fur, seated pose, and facial expression, enhance the soft natural light, add warm tones and subtle detail, and maintain a realistic photography style."
遮罩图片 URL,用于局部重绘(可选)。需为与 image 尺寸一致的 PNG 图片:完全透明(alpha 为 0)的区域表示需要按提示词重绘的部分,不透明区域保持原图不变。不传时对整张图片进行编辑。
生成图片数量
必填范围:
1 <= x <= 1示例:
1
返回格式
可用选项:
url, b64_json 示例:
"url"
最后修改于 2026年9月29日
⌘I
异步编辑图像
curl --request POST \
--url https://aitoearn.cn/api/ai/image/edit/async \
--header 'Content-Type: application/json' \
--header 'X-Api-Key: <api-key>' \
--data '
{
"model": "gpt-image-2",
"image": "https://images.unsplash.com/photo-1592194996308-7b43878e84a6?auto=format&fit=crop&w=1024&q=80",
"prompt": "Edit the provided image into a cozy realistic scene by placing the cute orange cat beside a sunlit window. Preserve its orange fur, seated pose, and facial expression, enhance the soft natural light, add warm tones and subtle detail, and maintain a realistic photography style."
}
'import requests
url = "https://aitoearn.cn/api/ai/image/edit/async"
payload = {
"model": "gpt-image-2",
"image": "https://images.unsplash.com/photo-1592194996308-7b43878e84a6?auto=format&fit=crop&w=1024&q=80",
"prompt": "Edit the provided image into a cozy realistic scene by placing the cute orange cat beside a sunlit window. Preserve its orange fur, seated pose, and facial expression, enhance the soft natural light, add warm tones and subtle detail, and maintain a realistic photography style."
}
headers = {
"X-Api-Key": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'X-Api-Key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
model: 'gpt-image-2',
image: 'https://images.unsplash.com/photo-1592194996308-7b43878e84a6?auto=format&fit=crop&w=1024&q=80',
prompt: 'Edit the provided image into a cozy realistic scene by placing the cute orange cat beside a sunlit window. Preserve its orange fur, seated pose, and facial expression, enhance the soft natural light, add warm tones and subtle detail, and maintain a realistic photography style.'
})
};
fetch('https://aitoearn.cn/api/ai/image/edit/async', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://aitoearn.cn/api/ai/image/edit/async"
payload := strings.NewReader("{\n \"model\": \"gpt-image-2\",\n \"image\": \"https://images.unsplash.com/photo-1592194996308-7b43878e84a6?auto=format&fit=crop&w=1024&q=80\",\n \"prompt\": \"Edit the provided image into a cozy realistic scene by placing the cute orange cat beside a sunlit window. Preserve its orange fur, seated pose, and facial expression, enhance the soft natural light, add warm tones and subtle detail, and maintain a realistic photography style.\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("X-Api-Key", "<api-key>")
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))
}{
"code": 0,
"message": "请求成功",
"data": {
"logId": "string",
"status": "generating"
}
}

