文生图:根据文本描述生成图片
curl --request POST \
--url https://api.apiyi.com/v1beta/models/gemini-3.1-flash-image-preview:generateContent \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"contents": [
{
"parts": [
{
"text": "一只可爱的柴犬坐在樱花树下,水彩画风格,高清细节"
}
]
}
],
"generationConfig": {
"responseModalities": [
"IMAGE"
],
"imageConfig": {
"aspectRatio": "16:9",
"imageSize": "2K"
}
}
}
'import requests
url = "https://api.apiyi.com/v1beta/models/gemini-3.1-flash-image-preview:generateContent"
payload = {
"contents": [{ "parts": [{ "text": "一只可爱的柴犬坐在樱花树下,水彩画风格,高清细节" }] }],
"generationConfig": {
"responseModalities": ["IMAGE"],
"imageConfig": {
"aspectRatio": "16:9",
"imageSize": "2K"
}
}
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
contents: [{parts: [{text: '一只可爱的柴犬坐在樱花树下,水彩画风格,高清细节'}]}],
generationConfig: {
responseModalities: ['IMAGE'],
imageConfig: {aspectRatio: '16:9', imageSize: '2K'}
}
})
};
fetch('https://api.apiyi.com/v1beta/models/gemini-3.1-flash-image-preview: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.apiyi.com/v1beta/models/gemini-3.1-flash-image-preview: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' => [
[
'parts' => [
[
'text' => '一只可爱的柴犬坐在樱花树下,水彩画风格,高清细节'
]
]
]
],
'generationConfig' => [
'responseModalities' => [
'IMAGE'
],
'imageConfig' => [
'aspectRatio' => '16:9',
'imageSize' => '2K'
]
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($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.apiyi.com/v1beta/models/gemini-3.1-flash-image-preview:generateContent"
payload := strings.NewReader("{\n \"contents\": [\n {\n \"parts\": [\n {\n \"text\": \"一只可爱的柴犬坐在樱花树下,水彩画风格,高清细节\"\n }\n ]\n }\n ],\n \"generationConfig\": {\n \"responseModalities\": [\n \"IMAGE\"\n ],\n \"imageConfig\": {\n \"aspectRatio\": \"16:9\",\n \"imageSize\": \"2K\"\n }\n }\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
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.apiyi.com/v1beta/models/gemini-3.1-flash-image-preview:generateContent")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"contents\": [\n {\n \"parts\": [\n {\n \"text\": \"一只可爱的柴犬坐在樱花树下,水彩画风格,高清细节\"\n }\n ]\n }\n ],\n \"generationConfig\": {\n \"responseModalities\": [\n \"IMAGE\"\n ],\n \"imageConfig\": {\n \"aspectRatio\": \"16:9\",\n \"imageSize\": \"2K\"\n }\n }\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.apiyi.com/v1beta/models/gemini-3.1-flash-image-preview:generateContent")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"contents\": [\n {\n \"parts\": [\n {\n \"text\": \"一只可爱的柴犬坐在樱花树下,水彩画风格,高清细节\"\n }\n ]\n }\n ],\n \"generationConfig\": {\n \"responseModalities\": [\n \"IMAGE\"\n ],\n \"imageConfig\": {\n \"aspectRatio\": \"16:9\",\n \"imageSize\": \"2K\"\n }\n }\n}"
response = http.request(request)
puts response.read_body{
"candidates": [
{
"content": {
"parts": [
{
"inlineData": {
"mimeType": "image/png",
"data": "<string>"
}
}
]
},
"finishReason": "STOP"
}
],
"usageMetadata": {
"promptTokenCount": 10,
"candidatesTokenCount": 258
}
}Nano Banana 2 生圖
文生圖 API 參考
Nano Banana 2 文生圖 API 參考與線上除錯 — 輸入文本描述生成圖片
POST
/
v1beta
/
models
/
gemini-3.1-flash-image-preview:generateContent
文生图:根据文本描述生成图片
curl --request POST \
--url https://api.apiyi.com/v1beta/models/gemini-3.1-flash-image-preview:generateContent \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"contents": [
{
"parts": [
{
"text": "一只可爱的柴犬坐在樱花树下,水彩画风格,高清细节"
}
]
}
],
"generationConfig": {
"responseModalities": [
"IMAGE"
],
"imageConfig": {
"aspectRatio": "16:9",
"imageSize": "2K"
}
}
}
'import requests
url = "https://api.apiyi.com/v1beta/models/gemini-3.1-flash-image-preview:generateContent"
payload = {
"contents": [{ "parts": [{ "text": "一只可爱的柴犬坐在樱花树下,水彩画风格,高清细节" }] }],
"generationConfig": {
"responseModalities": ["IMAGE"],
"imageConfig": {
"aspectRatio": "16:9",
"imageSize": "2K"
}
}
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
contents: [{parts: [{text: '一只可爱的柴犬坐在樱花树下,水彩画风格,高清细节'}]}],
generationConfig: {
responseModalities: ['IMAGE'],
imageConfig: {aspectRatio: '16:9', imageSize: '2K'}
}
})
};
fetch('https://api.apiyi.com/v1beta/models/gemini-3.1-flash-image-preview: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.apiyi.com/v1beta/models/gemini-3.1-flash-image-preview: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' => [
[
'parts' => [
[
'text' => '一只可爱的柴犬坐在樱花树下,水彩画风格,高清细节'
]
]
]
],
'generationConfig' => [
'responseModalities' => [
'IMAGE'
],
'imageConfig' => [
'aspectRatio' => '16:9',
'imageSize' => '2K'
]
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($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.apiyi.com/v1beta/models/gemini-3.1-flash-image-preview:generateContent"
payload := strings.NewReader("{\n \"contents\": [\n {\n \"parts\": [\n {\n \"text\": \"一只可爱的柴犬坐在樱花树下,水彩画风格,高清细节\"\n }\n ]\n }\n ],\n \"generationConfig\": {\n \"responseModalities\": [\n \"IMAGE\"\n ],\n \"imageConfig\": {\n \"aspectRatio\": \"16:9\",\n \"imageSize\": \"2K\"\n }\n }\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
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.apiyi.com/v1beta/models/gemini-3.1-flash-image-preview:generateContent")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"contents\": [\n {\n \"parts\": [\n {\n \"text\": \"一只可爱的柴犬坐在樱花树下,水彩画风格,高清细节\"\n }\n ]\n }\n ],\n \"generationConfig\": {\n \"responseModalities\": [\n \"IMAGE\"\n ],\n \"imageConfig\": {\n \"aspectRatio\": \"16:9\",\n \"imageSize\": \"2K\"\n }\n }\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.apiyi.com/v1beta/models/gemini-3.1-flash-image-preview:generateContent")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"contents\": [\n {\n \"parts\": [\n {\n \"text\": \"一只可爱的柴犬坐在樱花树下,水彩画风格,高清细节\"\n }\n ]\n }\n ],\n \"generationConfig\": {\n \"responseModalities\": [\n \"IMAGE\"\n ],\n \"imageConfig\": {\n \"aspectRatio\": \"16:9\",\n \"imageSize\": \"2K\"\n }\n }\n}"
response = http.request(request)
puts response.read_body{
"candidates": [
{
"content": {
"parts": [
{
"inlineData": {
"mimeType": "image/png",
"data": "<string>"
}
}
]
},
"finishReason": "STOP"
}
],
"usageMetadata": {
"promptTokenCount": 10,
"candidatesTokenCount": 258
}
}右側的互動式 Playground 支援下拉選擇引數(寬高比、解析度、響應型別等)。請在 Authorization 中填入你的 API Key(格式:
Bearer sk-xxx),即可一鍵傳送請求測試。場景說明:本頁用於「文本生成圖片」。只需輸入提示詞即可,無需上傳任何圖片。如需根據現有圖片做編輯,請使用 圖片編輯介面。
🖥️ 瀏覽器 Playground 限制(重要)本介面的響應裡包含 base64 編碼的圖片(
inlineData.data,數 MB 量級)。受瀏覽器渲染限制,右側 Playground 在收到響應後可能彈出 請求時發生錯誤: unable to complete request ——實際請求已經成功,只是瀏覽器無法把這麼長的 base64 顯示出來。推薦做法(小白零踩坑):- 直接複製下方”程式碼示例”中的 Python / Node.js / cURL 到本地執行,程式碼會自動
base64.b64decode並把圖片儲存為本地檔案。 - 如要在瀏覽器裡試 Playground,把
imageSize設為最小檔(如512/1K),縮小響應體積。
圖片 API 全部為同步呼叫:沒有非同步任務 ID,客戶端斷開連線結果即丟失、但請求仍會計費。請為本模型設定足夠大的 timeout,詳見 圖片 API 呼叫須知與最佳實踐。
程式碼示例
Python
import requests
import base64
API_KEY = "sk-your-api-key"
PROMPT = "一隻可愛的柴犬坐在櫻花樹下,水彩畫風格,高畫質細節"
response = requests.post(
"https://api.apiyi.com/v1beta/models/gemini-3.1-flash-image-preview:generateContent",
headers={"Authorization": f"Bearer {API_KEY}", "Content-Type": "application/json"},
json={
"contents": [{"parts": [{"text": PROMPT}]}],
"generationConfig": {
"responseModalities": ["IMAGE"],
"imageConfig": {"aspectRatio": "16:9", "imageSize": "2K"}
}
},
timeout=300
).json()
img_data = response["candidates"][0]["content"]["parts"][0]["inlineData"]["data"]
with open("output.png", 'wb') as f:
f.write(base64.b64decode(img_data))
print("圖片已儲存至 output.png")
cURL
curl -X POST "https://api.apiyi.com/v1beta/models/gemini-3.1-flash-image-preview:generateContent" \
-H "Authorization: Bearer sk-your-api-key" \
-H "Content-Type: application/json" \
-d '{
"contents": [{"parts": [{"text": "未來主義的城市夜景,霓虹燈,賽博朋克風格"}]}],
"generationConfig": {
"responseModalities": ["IMAGE"],
"imageConfig": {"aspectRatio": "16:9", "imageSize": "2K"}
}
}'
Node.js
import fs from "fs";
const API_KEY = "sk-your-api-key";
const response = await fetch(
"https://api.apiyi.com/v1beta/models/gemini-3.1-flash-image-preview:generateContent",
{
method: "POST",
headers: {
"Authorization": `Bearer ${API_KEY}`,
"Content-Type": "application/json"
},
body: JSON.stringify({
contents: [{ parts: [{ text: "未來主義的城市夜景,霓虹燈,賽博朋克風格" }] }],
generationConfig: {
responseModalities: ["IMAGE"],
imageConfig: { aspectRatio: "16:9", imageSize: "2K" }
}
})
}
);
const data = await response.json();
const imgBase64 = data.candidates[0].content.parts[0].inlineData.data;
fs.writeFileSync("output.png", Buffer.from(imgBase64, "base64"));
引數說明速查
| 引數 | 型別 | 必填 | 說明 |
|---|---|---|---|
contents[].parts[].text | string | 是 | 文本提示詞 |
generationConfig.responseModalities | array | 是 | ["IMAGE"] 或 ["TEXT","IMAGE"] |
generationConfig.imageConfig.aspectRatio | string | 否 | 14 種寬高比,預設 1:1 |
generationConfig.imageConfig.imageSize | string | 否 | 512 / 1K / 2K / 4K,預設 1K |
generationConfig.thinkingConfig.thinkingLevel | string | 否 | minimal(快速)/ High(深度推理),預設 minimal |
generationConfig.thinkingConfig.includeThoughts | boolean | 否 | 是否返回思維過程文本,預設 false |
詳細的引數文件、可選值和預設值請檢視右側 Playground 中的欄位說明,所有 enum 型別欄位(如
aspectRatio、imageSize、thinkingLevel)都支援下拉選擇,無需手動輸入。不支援的功能以下谷歌官方功能在 API易 中不支援,需要單獨計費:
- Grounding with Google Search(谷歌搜尋增強):通過
tools: [{"google_search": {}}]呼叫即時搜尋資訊 - Image Search Grounding(圖片搜尋增強,Nano Banana 2 獨有):通過谷歌圖片搜尋獲取視覺上下文
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