Gemini Imagen 图片生成接口
▼
Authorization
在 Header 添加参数 Authorization，其值为 Bearer 之后拼接 Token
示例：
Authorization: Bearer ********************
官方文档：https://ai.google.dev/gemini-api/docs/document-processing?hl=zh-cn
请求参数
Query 参数
key
string
必需
示例: YOUR_API_KEY
Header 参数
Content-Type
string
必需
示例: application/json
Body 参数 application/json
contents
array [object]
必需
parts
array [object]
可选
{ "instances": [ { "prompt": "Robot holding a red skateboard" } ], "parameters": { "sampleCount": 4 } } 请求
示例
{
"instances": [
{
"prompt": "Robot holding a red skateboard"
}
],
"parameters": {
"sampleCount": 4
}
}请求示例代码
{
"model": "imagen-4.0-ultra-generate-001",
"prompt": "一只可爱的猫咪在草地上玩耍",
"numberOfImages": 1,
"aspectRatio": "1:1"
}curl --location -g --request POST 'https://api.quickrouter.ai/v1beta/models/imagen-4.0-ultra-generate-001:predict?key=' \
--header 'Accept: application/json' \
--header 'Authorization: Bearer YOUR_API_KEY' \
--header 'Content-Type: application/json' \
--data-raw '{
"instances": [
{
"prompt": "Robot holding a red skateboard"
}
],
"parameters": {
"sampleCount": 4
}
}'"var myHeaders = new Headers();\nmyHeaders.append(\"Authorization\", \"Bearer YOUR_API_KEY\");\nmyHeaders.append(\"Content-Type\", \"application/json\");\n\nvar raw = JSON.stringify({\n \"instances\": [\n {\n \"prompt\": \"Robot holding a red skateboard\"\n }\n ],\n \"parameters\": {\n \"sampleCount\": 4\n }\n});\n\nvar requestOptions = {\n method: 'POST',\n headers: myHeaders,\n body: raw,\n redirect: 'follow'\n};\n\nfetch(\"https://api.quickrouter.ai/v1beta/models/imagen-4.0-ultra-generate-001:predict\", requestOptions)\n .then(response => response.text())\n .then(result => console.log(result))\n .catch(error => console.log('error', error));""import http.client\nimport json\n\nconn = http.client.HTTPSConnection(\"api.quickrouter.ai\")\npayload = json.dumps({\n \"instances\": [\n {\n \"prompt\": \"Robot holding a red skateboard\"\n }\n ],\n \"parameters\": {\n \"sampleCount\": 4\n }\n})\nheaders = {\n 'Authorization': 'Bearer YOUR_API_KEY',\n 'Content-Type': 'application/json'\n}\nconn.request(\"POST\", \"/v1beta/models/imagen-4.0-ultra-generate-001:predict%7B%7BYOUR_API_KEY%7D%7D\", payload, headers)\nres = conn.getresponse()\ndata = res.read()\nprint(data.decode(\"utf-8\"))"返回响应
响应参数 🟢 200 OK · application/json
object
可选
{}
示例
{}