Gemini 文生图 API
curl --request POST \
--url https://bettertoken.ai/v1beta/models/{model}:generateContent \
--header 'Content-Type: application/json' \
--header 'x-goog-api-key: <api-key>' \
--data '
{
"contents": [
{
"role": "user",
"parts": [
{
"text": "白色桌面上蓝色陶瓷杯的影棚产品照片。"
}
]
}
],
"generationConfig": {
"responseModalities": [
"IMAGE"
],
"candidateCount": 1,
"imageConfig": {
"imageSize": "1K",
"aspectRatio": "1:1"
}
}
}
'import requests
url = "https://bettertoken.ai/v1beta/models/{model}:generateContent"
payload = {
"contents": [
{
"role": "user",
"parts": [{ "text": "白色桌面上蓝色陶瓷杯的影棚产品照片。" }]
}
],
"generationConfig": {
"responseModalities": ["IMAGE"],
"candidateCount": 1,
"imageConfig": {
"imageSize": "1K",
"aspectRatio": "1:1"
}
}
}
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: '白色桌面上蓝色陶瓷杯的影棚产品照片。'}]}],
generationConfig: {
responseModalities: ['IMAGE'],
candidateCount: 1,
imageConfig: {imageSize: '1K', aspectRatio: '1:1'}
}
})
};
fetch('https://bettertoken.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://bettertoken.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' => '白色桌面上蓝色陶瓷杯的影棚产品照片。'
]
]
]
],
'generationConfig' => [
'responseModalities' => [
'IMAGE'
],
'candidateCount' => 1,
'imageConfig' => [
'imageSize' => '1K',
'aspectRatio' => '1:1'
]
]
]),
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://bettertoken.ai/v1beta/models/{model}:generateContent"
payload := strings.NewReader("{\n \"contents\": [\n {\n \"role\": \"user\",\n \"parts\": [\n {\n \"text\": \"白色桌面上蓝色陶瓷杯的影棚产品照片。\"\n }\n ]\n }\n ],\n \"generationConfig\": {\n \"responseModalities\": [\n \"IMAGE\"\n ],\n \"candidateCount\": 1,\n \"imageConfig\": {\n \"imageSize\": \"1K\",\n \"aspectRatio\": \"1:1\"\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://bettertoken.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\": \"白色桌面上蓝色陶瓷杯的影棚产品照片。\"\n }\n ]\n }\n ],\n \"generationConfig\": {\n \"responseModalities\": [\n \"IMAGE\"\n ],\n \"candidateCount\": 1,\n \"imageConfig\": {\n \"imageSize\": \"1K\",\n \"aspectRatio\": \"1:1\"\n }\n }\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://bettertoken.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\": \"白色桌面上蓝色陶瓷杯的影棚产品照片。\"\n }\n ]\n }\n ],\n \"generationConfig\": {\n \"responseModalities\": [\n \"IMAGE\"\n ],\n \"candidateCount\": 1,\n \"imageConfig\": {\n \"imageSize\": \"1K\",\n \"aspectRatio\": \"1:1\"\n }\n }\n}"
response = http.request(request)
puts response.read_body{
"candidates": [
{
"content": {
"role": "model",
"parts": [
{
"inlineData": {
"mimeType": "image/png",
"data": "BASE64_IMAGE_DATA"
}
}
]
},
"finishReason": "STOP"
}
]
}Nano Banana
Gemini 文生图 API
通过 BetterToken 的 Gemini 原生 API 调用 Nano Banana 文生图。在在线调试面板选择模型,设置提示词、分辨率和比例,并读取生成结果。
POST
/
v1beta
/
models
/
{model}
:generateContent
Gemini 文生图 API
curl --request POST \
--url https://bettertoken.ai/v1beta/models/{model}:generateContent \
--header 'Content-Type: application/json' \
--header 'x-goog-api-key: <api-key>' \
--data '
{
"contents": [
{
"role": "user",
"parts": [
{
"text": "白色桌面上蓝色陶瓷杯的影棚产品照片。"
}
]
}
],
"generationConfig": {
"responseModalities": [
"IMAGE"
],
"candidateCount": 1,
"imageConfig": {
"imageSize": "1K",
"aspectRatio": "1:1"
}
}
}
'import requests
url = "https://bettertoken.ai/v1beta/models/{model}:generateContent"
payload = {
"contents": [
{
"role": "user",
"parts": [{ "text": "白色桌面上蓝色陶瓷杯的影棚产品照片。" }]
}
],
"generationConfig": {
"responseModalities": ["IMAGE"],
"candidateCount": 1,
"imageConfig": {
"imageSize": "1K",
"aspectRatio": "1:1"
}
}
}
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: '白色桌面上蓝色陶瓷杯的影棚产品照片。'}]}],
generationConfig: {
responseModalities: ['IMAGE'],
candidateCount: 1,
imageConfig: {imageSize: '1K', aspectRatio: '1:1'}
}
})
};
fetch('https://bettertoken.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://bettertoken.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' => '白色桌面上蓝色陶瓷杯的影棚产品照片。'
]
]
]
],
'generationConfig' => [
'responseModalities' => [
'IMAGE'
],
'candidateCount' => 1,
'imageConfig' => [
'imageSize' => '1K',
'aspectRatio' => '1:1'
]
]
]),
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://bettertoken.ai/v1beta/models/{model}:generateContent"
payload := strings.NewReader("{\n \"contents\": [\n {\n \"role\": \"user\",\n \"parts\": [\n {\n \"text\": \"白色桌面上蓝色陶瓷杯的影棚产品照片。\"\n }\n ]\n }\n ],\n \"generationConfig\": {\n \"responseModalities\": [\n \"IMAGE\"\n ],\n \"candidateCount\": 1,\n \"imageConfig\": {\n \"imageSize\": \"1K\",\n \"aspectRatio\": \"1:1\"\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://bettertoken.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\": \"白色桌面上蓝色陶瓷杯的影棚产品照片。\"\n }\n ]\n }\n ],\n \"generationConfig\": {\n \"responseModalities\": [\n \"IMAGE\"\n ],\n \"candidateCount\": 1,\n \"imageConfig\": {\n \"imageSize\": \"1K\",\n \"aspectRatio\": \"1:1\"\n }\n }\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://bettertoken.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\": \"白色桌面上蓝色陶瓷杯的影棚产品照片。\"\n }\n ]\n }\n ],\n \"generationConfig\": {\n \"responseModalities\": [\n \"IMAGE\"\n ],\n \"candidateCount\": 1,\n \"imageConfig\": {\n \"imageSize\": \"1K\",\n \"aspectRatio\": \"1:1\"\n }\n }\n}"
response = http.request(request)
puts response.read_body{
"candidates": [
{
"content": {
"role": "model",
"parts": [
{
"inlineData": {
"mimeType": "image/png",
"data": "BASE64_IMAGE_DATA"
}
}
]
},
"finishReason": "STOP"
}
]
}使用 Nano Banana Pro、2 或 2.1,根据文字描述生成图片。
三款均提供
文生图只需提交文字描述,无需参考图。接口使用非流式
POST /v1beta/models/{model}:generateContent
文生图和图片编辑使用同一个接口;图片编辑的请求中需要增加参考图。
在线调试
在 x-goog-api-key 中填写 BetterToken API Key,选择 model,并修改 contents 中的提示词。先使用1K、1:1,然后点击 Send。
点击 Send 会发起真实生成请求,可能产生费用。接口同步等待生成完成;超时或断连后,请先核对消费记录和请求结果,再决定是否重新发送。
1K、2K、4K。Nano Banana 2 和 2.1 支持 14 种比例,Pro 支持 10 种。 X-BetterToken-Max-Images 是允许返回并计费的图片数量上限,不保证生成对应张数。 比例列表
BetterToken API 不支持搜索生图,包括 Google 网页搜索和图片搜索增强。不要添加搜索工具。
generateContent;不支持 Files、Batch、Interactions 或流式调用。
读取响应
图片位于candidates[].content.parts[].inlineData。遍历所有 part,跳过 thought: true,解码 data,并根据 mimeType 选择文件后缀。不要假定图片总在第一个 part,也不要一律保存成 PNG。
相关文档
授权
BetterToken API Key。
请求头
允许返回并计费的图片数量上限,不保证生成对应张数。默认值为 1。
必填范围:
1 <= x <= 4路径参数
BetterToken 模型 ID,选择三款 Nano Banana 模型之一。
可用选项:
nano-banana-pro, nano-banana-2, nano-banana-2.1 请求体
application/json

