Gemini generateContent
curl --request POST \
--url https://api-vip.apigo.ai/v1beta/models/{model}:generateContent \
--header 'Content-Type: application/json' \
--header 'x-goog-api-key: <api-key>' \
--data '
{
"contents": [
{
"role": "user",
"parts": [
{
"text": "生成一张简洁的 ApiGo 产品海报"
}
]
}
],
"generationConfig": {
"responseModalities": [
"TEXT",
"IMAGE"
]
}
}
'import requests
url = "https://api-vip.apigo.ai/v1beta/models/{model}:generateContent"
payload = {
"contents": [
{
"role": "user",
"parts": [{ "text": "生成一张简洁的 ApiGo 产品海报" }]
}
],
"generationConfig": { "responseModalities": ["TEXT", "IMAGE"] }
}
headers = {
"x-goog-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-goog-api-key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
contents: [{role: 'user', parts: [{text: '生成一张简洁的 ApiGo 产品海报'}]}],
generationConfig: {responseModalities: ['TEXT', 'IMAGE']}
})
};
fetch('https://api-vip.apigo.ai/v1beta/models/{model}:generateContent', 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-vip.apigo.ai/v1beta/models/{model}:generateContent",
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([
'contents' => [
[
'role' => 'user',
'parts' => [
[
'text' => '生成一张简洁的 ApiGo 产品海报'
]
]
]
],
'generationConfig' => [
'responseModalities' => [
'TEXT',
'IMAGE'
]
]
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"x-goog-api-key: <api-key>"
],
]);
$response = curl_exec($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-vip.apigo.ai/v1beta/models/{model}:generateContent"
payload := strings.NewReader("{\n \"contents\": [\n {\n \"role\": \"user\",\n \"parts\": [\n {\n \"text\": \"生成一张简洁的 ApiGo 产品海报\"\n }\n ]\n }\n ],\n \"generationConfig\": {\n \"responseModalities\": [\n \"TEXT\",\n \"IMAGE\"\n ]\n }\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("x-goog-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))
}HttpResponse<String> response = Unirest.post("https://api-vip.apigo.ai/v1beta/models/{model}:generateContent")
.header("x-goog-api-key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"contents\": [\n {\n \"role\": \"user\",\n \"parts\": [\n {\n \"text\": \"生成一张简洁的 ApiGo 产品海报\"\n }\n ]\n }\n ],\n \"generationConfig\": {\n \"responseModalities\": [\n \"TEXT\",\n \"IMAGE\"\n ]\n }\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api-vip.apigo.ai/v1beta/models/{model}:generateContent")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["x-goog-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"contents\": [\n {\n \"role\": \"user\",\n \"parts\": [\n {\n \"text\": \"生成一张简洁的 ApiGo 产品海报\"\n }\n ]\n }\n ],\n \"generationConfig\": {\n \"responseModalities\": [\n \"TEXT\",\n \"IMAGE\"\n ]\n }\n}"
response = http.request(request)
puts response.read_body{
"candidates": [
{
"content": {
"role": "model",
"parts": [
{
"text": "海报已生成。"
},
{
"inlineData": {
"mimeType": "image/png",
"data": "<BASE64_IMAGE_DATA>"
}
}
]
},
"finishReason": "STOP"
}
],
"usageMetadata": {
"promptTokenCount": 24,
"candidatesTokenCount": 36,
"totalTokenCount": 60
}
}{
"error": 123,
"message": "<string>"
}图片
/v1beta/models/{model}:generateContent
使用 Gemini 生成同步文本或多模态输出。
POST
/
v1beta
/
models
/
{model}
:generateContent
Gemini generateContent
curl --request POST \
--url https://api-vip.apigo.ai/v1beta/models/{model}:generateContent \
--header 'Content-Type: application/json' \
--header 'x-goog-api-key: <api-key>' \
--data '
{
"contents": [
{
"role": "user",
"parts": [
{
"text": "生成一张简洁的 ApiGo 产品海报"
}
]
}
],
"generationConfig": {
"responseModalities": [
"TEXT",
"IMAGE"
]
}
}
'import requests
url = "https://api-vip.apigo.ai/v1beta/models/{model}:generateContent"
payload = {
"contents": [
{
"role": "user",
"parts": [{ "text": "生成一张简洁的 ApiGo 产品海报" }]
}
],
"generationConfig": { "responseModalities": ["TEXT", "IMAGE"] }
}
headers = {
"x-goog-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-goog-api-key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
contents: [{role: 'user', parts: [{text: '生成一张简洁的 ApiGo 产品海报'}]}],
generationConfig: {responseModalities: ['TEXT', 'IMAGE']}
})
};
fetch('https://api-vip.apigo.ai/v1beta/models/{model}:generateContent', 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-vip.apigo.ai/v1beta/models/{model}:generateContent",
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([
'contents' => [
[
'role' => 'user',
'parts' => [
[
'text' => '生成一张简洁的 ApiGo 产品海报'
]
]
]
],
'generationConfig' => [
'responseModalities' => [
'TEXT',
'IMAGE'
]
]
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"x-goog-api-key: <api-key>"
],
]);
$response = curl_exec($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-vip.apigo.ai/v1beta/models/{model}:generateContent"
payload := strings.NewReader("{\n \"contents\": [\n {\n \"role\": \"user\",\n \"parts\": [\n {\n \"text\": \"生成一张简洁的 ApiGo 产品海报\"\n }\n ]\n }\n ],\n \"generationConfig\": {\n \"responseModalities\": [\n \"TEXT\",\n \"IMAGE\"\n ]\n }\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("x-goog-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))
}HttpResponse<String> response = Unirest.post("https://api-vip.apigo.ai/v1beta/models/{model}:generateContent")
.header("x-goog-api-key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"contents\": [\n {\n \"role\": \"user\",\n \"parts\": [\n {\n \"text\": \"生成一张简洁的 ApiGo 产品海报\"\n }\n ]\n }\n ],\n \"generationConfig\": {\n \"responseModalities\": [\n \"TEXT\",\n \"IMAGE\"\n ]\n }\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api-vip.apigo.ai/v1beta/models/{model}:generateContent")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["x-goog-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"contents\": [\n {\n \"role\": \"user\",\n \"parts\": [\n {\n \"text\": \"生成一张简洁的 ApiGo 产品海报\"\n }\n ]\n }\n ],\n \"generationConfig\": {\n \"responseModalities\": [\n \"TEXT\",\n \"IMAGE\"\n ]\n }\n}"
response = http.request(request)
puts response.read_body{
"candidates": [
{
"content": {
"role": "model",
"parts": [
{
"text": "海报已生成。"
},
{
"inlineData": {
"mimeType": "image/png",
"data": "<BASE64_IMAGE_DATA>"
}
}
]
},
"finishReason": "STOP"
}
],
"usageMetadata": {
"promptTokenCount": 24,
"candidatesTokenCount": 36,
"totalTokenCount": 60
}
}{
"error": 123,
"message": "<string>"
}使用 Gemini 图像生成模型根据文本提示生成图片。图片生成和图片编辑都通过
generateContent 返回。
- 使用
gemini-2.5-flash-image,并在generationConfig.responseModalities中声明IMAGE - 生成的图片通常位于
candidates[].content.parts[].inlineData,其中包含 MIME 类型和 Base64 数据 - 如需传入参考图,可在
parts中使用inlineData,或先上传到 Files API 后使用fileData
授权
路径参数
Gemini model name.
示例:
"gemini-2.5-flash-image"
请求体
application/json
