curl --request POST \
--url https://xcompute.us/v1/images/edits \
--header 'Authorization: Bearer YOUR_API_KEY' \
--header 'Content-Type: application/json' \
--data '{
"model": "gpt-image-2.5",
"prompt": "小狗换成小猫",
"response_format": "url",
"size": "1024x1024",
"images": ["https://example.com/source.png"],
"n": 1
}'
import requests
response = requests.post(
"https://xcompute.us/v1/images/edits",
headers={
"Authorization": "Bearer YOUR_API_KEY",
"Content-Type": "application/json",
},
json={
"model": "gpt-image-2.5",
"prompt": "小狗换成小猫",
"response_format": "url",
"size": "1024x1024",
"images": ["https://example.com/source.png"],
"n": 1,
},
timeout=300,
)
response.raise_for_status()
print(response.json()["data"][0]["url"])
{
"created": 1789097054,
"data": [
{
"url": "https://example.com/generated-image.png"
}
]
}
图像生成
图生图
使用 GPT Image 2.5 根据一张或多张参考图片生成新图片。
POST
https://xcompute.us
/
v1
/
images
/
edits
curl --request POST \
--url https://xcompute.us/v1/images/edits \
--header 'Authorization: Bearer YOUR_API_KEY' \
--header 'Content-Type: application/json' \
--data '{
"model": "gpt-image-2.5",
"prompt": "小狗换成小猫",
"response_format": "url",
"size": "1024x1024",
"images": ["https://example.com/source.png"],
"n": 1
}'
import requests
response = requests.post(
"https://xcompute.us/v1/images/edits",
headers={
"Authorization": "Bearer YOUR_API_KEY",
"Content-Type": "application/json",
},
json={
"model": "gpt-image-2.5",
"prompt": "小狗换成小猫",
"response_format": "url",
"size": "1024x1024",
"images": ["https://example.com/source.png"],
"n": 1,
},
timeout=300,
)
response.raise_for_status()
print(response.json()["data"][0]["url"])
{
"created": 1789097054,
"data": [
{
"url": "https://example.com/generated-image.png"
}
]
}
使用
使用
gpt-image-2.5 根据一张或多张参考图片生成新图片。图片通过 images 数组传入，支持单张或多张参考图。
请求
curl --request POST \
--url https://xcompute.us/v1/images/edits \
--header 'Authorization: Bearer YOUR_API_KEY' \
--header 'Content-Type: application/json' \
--data '{
"model": "gpt-image-2.5",
"prompt": "小狗换成小猫",
"response_format": "url",
"size": "1024x1024",
"images": ["https://example.com/source.png"],
"n": 1
}'
import requests
response = requests.post(
"https://xcompute.us/v1/images/edits",
headers={
"Authorization": "Bearer YOUR_API_KEY",
"Content-Type": "application/json",
},
json={
"model": "gpt-image-2.5",
"prompt": "小狗换成小猫",
"response_format": "url",
"size": "1024x1024",
"images": ["https://example.com/source.png"],
"n": 1,
},
timeout=300,
)
response.raise_for_status()
print(response.json()["data"][0]["url"])
参数
string
required
Bearer Token，例如
Authorization: Bearer YOUR_API_KEY。string
default:"application/json"
required
固定使用
application/json。string
default:"gpt-image-2.5"
required
固定填写
gpt-image-2.5。string
required
图像编辑提示词，例如需要替换、添加、删除或修改的内容。
string
default:"url"
返回格式。目前仅支持
url。array[string]
required
参考图片 URL 数组，支持单张或多张图片。URL 必须可以被 Xcompute 服务端访问。
integer
default:"1"
生成数量，范围为
1 到 4。支持尺寸
| 档位 | 支持的 size |
|---|---|
| 标准 | 1024x1024、1536x1024、1024x1536、1024x1365、1365x1024、1088x1920、1920x1088 |
| 高分辨率 | 2048x2048、1712x2560、2560x1712、2048x1536、1536x2048、1152x2048、2048x1152、2880x2880、2560x3840、3840x2560、2880x3840、3840x2880、2160x3840、3840x2160 |
成功响应
{
"created": 1789097054,
"data": [
{
"url": "https://example.com/generated-image.png"
}
]
}
n 大于 1 时，遍历 data 数组读取全部图片。图片 URL 可能具有有效期，请及时下载并保存。