GPT-Image-2.5 · 文生图
curl --request POST \
--url https://api.gravitex.ai/v1/images/generations \
--header 'Authorization: <authorization>' \
--header 'Content-Type: <content-type>'import requests
url = "https://api.gravitex.ai/v1/images/generations"
headers = {
"Authorization": "<authorization>",
"Content-Type": "<content-type>"
}
response = requests.post(url, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: '<authorization>', 'Content-Type': '<content-type>'}
};
fetch('https://api.gravitex.ai/v1/images/generations', 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.gravitex.ai/v1/images/generations",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_HTTPHEADER => [
"Authorization: <authorization>",
"Content-Type: <content-type>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"net/http"
"io"
)
func main() {
url := "https://api.gravitex.ai/v1/images/generations"
req, _ := http.NewRequest("POST", url, nil)
req.Header.Add("Authorization", "<authorization>")
req.Header.Add("Content-Type", "<content-type>")
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.gravitex.ai/v1/images/generations")
.header("Authorization", "<authorization>")
.header("Content-Type", "<content-type>")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.gravitex.ai/v1/images/generations")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = '<authorization>'
request["Content-Type"] = '<content-type>'
response = http.request(request)
puts response.read_bodyimage-2.5
GPT-Image-2.5 · 文生图
GPT-Image-2.5 Flare / Sunburst · POST /v1/images/generations
POST
/
v1
/
images
/
generations
GPT-Image-2.5 · 文生图
curl --request POST \
--url https://api.gravitex.ai/v1/images/generations \
--header 'Authorization: <authorization>' \
--header 'Content-Type: <content-type>'import requests
url = "https://api.gravitex.ai/v1/images/generations"
headers = {
"Authorization": "<authorization>",
"Content-Type": "<content-type>"
}
response = requests.post(url, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: '<authorization>', 'Content-Type': '<content-type>'}
};
fetch('https://api.gravitex.ai/v1/images/generations', 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.gravitex.ai/v1/images/generations",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_HTTPHEADER => [
"Authorization: <authorization>",
"Content-Type: <content-type>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"net/http"
"io"
)
func main() {
url := "https://api.gravitex.ai/v1/images/generations"
req, _ := http.NewRequest("POST", url, nil)
req.Header.Add("Authorization", "<authorization>")
req.Header.Add("Content-Type", "<content-type>")
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.gravitex.ai/v1/images/generations")
.header("Authorization", "<authorization>")
.header("Content-Type", "<content-type>")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.gravitex.ai/v1/images/generations")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = '<authorization>'
request["Content-Type"] = '<content-type>'
response = http.request(request)
puts response.read_body简介
GPT-Image-2.5 是 OpenAI 的图像生成模型系列,包含注重日常生成速度的 Flare 和注重视觉细节的 Sunburst。本页通过POST /v1/images/generations 将文本描述转为图片,适用于海报、商品展示、品牌插画、图标和信息图等场景。
两个模型支持 auto、low、medium、high、xhigh、max 六档质量设置,以及 PNG、JPEG、WebP 输出。可通过 quality、size 和 background 调整质量、尺寸与背景;透明背景请配合 PNG 或 WebP。
模型选择
| 模型 ID | 适用场景 |
|---|---|
gpt-image-2.5-flare | 快速迭代、交互式生成 |
gpt-image-2.5-sunburst | 复杂布局与细节表现 |
model,其他字段按实际需求设置。
认证
string
必填
Bearer $GRAVITEX_API_KEY
string
必填
application/json
请求参数
| 参数 | 类型 | 说明 |
|---|---|---|
model | string | 必填,gpt-image-2.5-flare 或 gpt-image-2.5-sunburst |
prompt | string | 必填,描述要生成的图片内容,最长 32,000 字符 |
quality | string | auto / low / medium / high / xhigh / max;默认 auto |
size | string | auto 或 WxH,宽高为 16 的倍数;受模型尺寸和总像素预算约束 |
n | integer | 1–10 |
background | string | auto / opaque / transparent;透明栅格输出使用 png 或 webp |
output_format | string | png / jpeg / webp;默认 png |
output_compression | integer | 0–100,默认 100,仅用于 JPEG / WebP |
moderation | string | auto / low;默认 auto |
safety_identifier | string | 稳定的终端用户标识,建议哈希化,最长 128 字符;替代 user |
stream | boolean | 默认 false;开启后返回 SSE 事件,不能按普通 JSON 响应解析 |
partial_images | integer | 仅栅格流式输出,0–3,默认 0;表示期望的中间预览数,实际可能更少 |
请求示例
示例从环境变量GRAVITEX_API_KEY 读取平台令牌,请先在当前终端设置该变量。文件上传使用 curl 的 -F 自动生成 Content-Type 和 boundary,不要手动把 Content-Type 固定成 multipart/form-data。
基础生成
curl https://api.gravitex.ai/v1/images/generations \
-H "Authorization: Bearer $GRAVITEX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-image-2.5-flare",
"prompt": "A clean botanical poster with precise typography",
"quality": "medium",
"size": "1024x1024"
}'
透明背景
curl https://api.gravitex.ai/v1/images/generations \
-H "Authorization: Bearer $GRAVITEX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-image-2.5-flare",
"prompt": "A single green botanical icon, isolated on a transparent background",
"quality": "medium",
"size": "1024x1024",
"background": "transparent",
"output_format": "png"
}'
user 为兼容旧请求保留,已废弃;新请求使用 safety_identifier。非空 safety_identifier 优先,未提供、null 或空字符串时才回退 user。
流式输出
curl --no-buffer https://api.gravitex.ai/v1/images/generations \
-H "Authorization: Bearer $GRAVITEX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-image-2.5-flare",
"prompt": "A simple green botanical illustration",
"quality": "medium",
"size": "1024x1024",
"stream": true,
"partial_images": 1
}'
限制与注意事项
auto 为默认值。显式尺寸使用 WxH,宽高均为 16 的倍数,宽高比在 1:3–3:1 之间。image-2 官方指南规定最长边不超过 3840px、总像素为 655,360–8,294,400;2.5 的 API 参考也要求尺寸符合模型的边长和像素预算。2.6(尤其 GIF)的预算请按模型和项目实际支持确认,不直接套用旧模型上限。 本页仅列出官方明确说明的 GPT-Image-2.5 用法,不将 2.6 的 complexity、GIF、SVG 专属说明直接套用到 2.5。通用 API schema 出现某字段,不代表所有模型和渠道都支持。响应示例
下面是非流式响应的结构示意,图片数据和 token 数仅为示例,并非实际生成结果。将 b64_json 解码为对应格式的文件;不要将 Base64 字符串直接保存为图片。{
"created": 1794268800,
"data": [
{
"b64_json": "<BASE64_IMAGE_DATA>"
}
],
"usage": {
"input_tokens": 100,
"output_tokens": 824,
"total_tokens": 924
}
}
stream: true,响应为 SSE 事件流;按事件读取中间预览和最终图片,不能对整个响应直接调用 JSON 解析。
响应与计费
本页示例为非流式调用时,图片通过 b64_json 返回;不要传 response_format=url 期待图片链接。输入图片和输出图片均有 token 用量;相同 token 单价不代表相同单张费用,需结合实际 usage。 返回data[].b64_json 和 usage。图片数据须先 Base64 解码再保存。以下为 OpenAI 官方标准价,不是 GravitexAI 报价。
缓存价格是官方参考费率。官方指南说明,GPT Image 2 / 2.5 的缓存输入优惠仅适用于 Responses API 图像工具,不适用于直接调用本页 Images API(含 edits);平台实际结算以控制台为准。
| 类型 | 美元 / 1M tokens |
|---|---|
| 文本输入 | $5.00 |
| 缓存文本输入 | $1.25 |
| 图片输入 | $8.00 |
| 缓存图片输入 | $2.00 |
| 图片输出 | $30.00 |
