Gemini 生成图片
curl --request POST \
--url https://api.bianxie.ai/v1beta/models/{model}:generateContentimport requests
url = "https://api.bianxie.ai/v1beta/models/{model}:generateContent"
response = requests.post(url)
print(response.text)const options = {method: 'POST'};
fetch('https://api.bianxie.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.bianxie.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",
]);
$response = curl_exec($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.bianxie.ai/v1beta/models/{model}:generateContent"
req, _ := http.NewRequest("POST", url, nil)
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.bianxie.ai/v1beta/models/{model}:generateContent")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.bianxie.ai/v1beta/models/{model}:generateContent")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
response = http.request(request)
puts response.read_bodyGemini
Gemini 生成图片
使用 Gemini 原生 generateContent 格式根据提示词生成图片
POST
/
v1beta
/
models
/
{model}
:generateContent
Gemini 生成图片
curl --request POST \
--url https://api.bianxie.ai/v1beta/models/{model}:generateContentimport requests
url = "https://api.bianxie.ai/v1beta/models/{model}:generateContent"
response = requests.post(url)
print(response.text)const options = {method: 'POST'};
fetch('https://api.bianxie.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.bianxie.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",
]);
$response = curl_exec($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.bianxie.ai/v1beta/models/{model}:generateContent"
req, _ := http.NewRequest("POST", url, nil)
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.bianxie.ai/v1beta/models/{model}:generateContent")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.bianxie.ai/v1beta/models/{model}:generateContent")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
response = http.request(request)
puts response.read_body该接口与 Gemini 文本生成共用
generateContent 路径。将支持图片输出的 Gemini 模型填入 {model}，模型 ID 以实时模型页为准。
请求字段
| 字段 | 类型 | 必填 | 说明 |
|---|---|---|---|
model | path string | 是 | 支持图片生成的 Gemini 模型 ID。 |
contents | array | 是 | 输入内容；生图请求通常包含一个文本 part。 |
contents[].role | string | 否 | 通常为 user。 |
contents[].parts[].text | string | 是 | 图片提示词。 |
generationConfig.imageConfig | object | 否 | 图片输出配置。 |
generationConfig.imageConfig.aspectRatio | string | 否 | 宽高比，例如 1:1、9:16 或 16:9。 |
curl "https://api.bianxie.ai/v1beta/models/your-model:generateContent" \
-H "Authorization: Bearer API_KEY" \
-H "Content-Type: application/json" \
-d '{
"contents": [{
"role": "user",
"parts": [{"text": "一只戴宇航头盔的橘猫，电影级灯光"}]
}],
"generationConfig": {
"imageConfig": {"aspectRatio": "1:1"}
}
}'
import base64
import requests
url = "https://api.bianxie.ai/v1beta/models/your-model:generateContent"
response = requests.post(
url,
headers={"Authorization": "Bearer API_KEY"},
json={
"contents": [{"role": "user", "parts": [{"text": "一只戴宇航头盔的橘猫"}]}],
"generationConfig": {"imageConfig": {"aspectRatio": "1:1"}},
},
timeout=120,
)
response.raise_for_status()
for candidate in response.json().get("candidates", []):
for part in candidate.get("content", {}).get("parts", []):
image = part.get("inlineData")
if image and image.get("data"):
with open("output.png", "wb") as file:
file.write(base64.b64decode(image["data"]))
import { writeFile } from "node:fs/promises";
const response = await fetch("https://api.bianxie.ai/v1beta/models/your-model:generateContent", {
method: "POST",
headers: { Authorization: "Bearer API_KEY", "Content-Type": "application/json" },
body: JSON.stringify({
contents: [{ role: "user", parts: [{ text: "An orange cat in a space helmet" }] }],
generationConfig: { imageConfig: { aspectRatio: "1:1" } }
})
});
const data = await response.json();
const image = data.candidates?.[0]?.content?.parts?.find((part) => part.inlineData)?.inlineData;
if (image?.data) await writeFile("output.png", Buffer.from(image.data, "base64"));
返回图片
优先读取candidates[].content.parts[].inlineData：mimeType 表示图片格式，data 是 Base64 内容。部分兼容响应可能把 Markdown data URL 放在 text part 中，客户端可将其作为兼容兜底，但不应优先依赖该形式。
此请求可能耗时较长，建议客户端超时不少于 120 秒。HTTP 成功并不保证存在图片；还应检查候选项、结束原因和安全反馈。⌘I