图片生成

curl --request POST \
  --url https://api.tikway.ai/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "gemini-3-pro-image",
  "prompt": "Generate a photorealistic red apple on a rustic wooden table.",
  "size": "1:1",
  "quality": "standard"
}
'

import requests

url = "https://api.tikway.ai/v1/images/generations"

payload = {
    "model": "gemini-3-pro-image",
    "prompt": "Generate a photorealistic red apple on a rustic wooden table.",
    "size": "1:1",
    "quality": "standard"
}
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({
    model: 'gemini-3-pro-image',
    prompt: 'Generate a photorealistic red apple on a rustic wooden table.',
    size: '1:1',
    quality: 'standard'
  })
};

fetch('https://api.tikway.ai/v1/images/generations', 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.tikway.ai/v1/images/generations",
  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([
    'model' => 'gemini-3-pro-image',
    'prompt' => 'Generate a photorealistic red apple on a rustic wooden table.',
    'size' => '1:1',
    'quality' => 'standard'
  ]),
  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.tikway.ai/v1/images/generations"

	payload := strings.NewReader("{\n  \"model\": \"gemini-3-pro-image\",\n  \"prompt\": \"Generate a photorealistic red apple on a rustic wooden table.\",\n  \"size\": \"1:1\",\n  \"quality\": \"standard\"\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.tikway.ai/v1/images/generations")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"gemini-3-pro-image\",\n  \"prompt\": \"Generate a photorealistic red apple on a rustic wooden table.\",\n  \"size\": \"1:1\",\n  \"quality\": \"standard\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.tikway.ai/v1/images/generations")

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  \"model\": \"gemini-3-pro-image\",\n  \"prompt\": \"Generate a photorealistic red apple on a rustic wooden table.\",\n  \"size\": \"1:1\",\n  \"quality\": \"standard\"\n}"

response = http.request(request)
puts response.read_body

{
  "created": 1713833628,
  "data": [
    {
      "b64_json": "..."
    }
  ],
  "usage": {
    "total_tokens": 100,
    "input_tokens": 50,
    "output_tokens": 50,
    "input_tokens_details": {
      "text_tokens": 10,
      "image_tokens": 40
    }
  }
}

Nano Banana

图片生成

统一 OpenAI 兼容入口。size 表示宽高比，quality 映射到 Gemini 的图片分辨率。

模型	输出分辨率	参考图	搜索与思考
`gemini-3.1-flash-image`	512px、1K、2K、4K；支持 1:4/4:1/1:8/8:1 极端比例	最多 14 张（最多 10 个对象 + 4 个角色）	`google_search`、`image_search`、`thinking_level`
`gemini-3-pro-image`	1K、2K、4K	最多 14 张（最多 6 个对象 + 5 个角色 + 3 个风格）	`google_search`、`thinking_level`；不支持图片搜索
`gemini-2.5-flash-image`	固定 1K	建议最多 3 张	不支持 Google Search、图片搜索和思考

此入口不接受原生 generationConfig、aspect_ratio 或 image_size，请使用 size 和 quality。

POST

https://api.tikway.ai

images

generations

图片生成

curl --request POST \
  --url https://api.tikway.ai/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "gemini-3-pro-image",
  "prompt": "Generate a photorealistic red apple on a rustic wooden table.",
  "size": "1:1",
  "quality": "standard"
}
'

import requests

url = "https://api.tikway.ai/v1/images/generations"

payload = {
    "model": "gemini-3-pro-image",
    "prompt": "Generate a photorealistic red apple on a rustic wooden table.",
    "size": "1:1",
    "quality": "standard"
}
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({
    model: 'gemini-3-pro-image',
    prompt: 'Generate a photorealistic red apple on a rustic wooden table.',
    size: '1:1',
    quality: 'standard'
  })
};

fetch('https://api.tikway.ai/v1/images/generations', 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.tikway.ai/v1/images/generations",
  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([
    'model' => 'gemini-3-pro-image',
    'prompt' => 'Generate a photorealistic red apple on a rustic wooden table.',
    'size' => '1:1',
    'quality' => 'standard'
  ]),
  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.tikway.ai/v1/images/generations"

	payload := strings.NewReader("{\n  \"model\": \"gemini-3-pro-image\",\n  \"prompt\": \"Generate a photorealistic red apple on a rustic wooden table.\",\n  \"size\": \"1:1\",\n  \"quality\": \"standard\"\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.tikway.ai/v1/images/generations")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"gemini-3-pro-image\",\n  \"prompt\": \"Generate a photorealistic red apple on a rustic wooden table.\",\n  \"size\": \"1:1\",\n  \"quality\": \"standard\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.tikway.ai/v1/images/generations")

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  \"model\": \"gemini-3-pro-image\",\n  \"prompt\": \"Generate a photorealistic red apple on a rustic wooden table.\",\n  \"size\": \"1:1\",\n  \"quality\": \"standard\"\n}"

response = http.request(request)
puts response.read_body

{
  "created": 1713833628,
  "data": [
    {
      "b64_json": "..."
    }
  ],
  "usage": {
    "total_tokens": 100,
    "input_tokens": 50,
    "output_tokens": 50,
    "input_tokens_details": {
      "text_tokens": 10,
      "image_tokens": 40
    }
  }
}

授权

Authorization

string

header

必填

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

请求体

application/json

model

string

必填

必填。使用 Get Models 返回的模型 ID 或可用别名。

Minimum string length: 1

示例:

"gemini-3.1-flash-image"

"gemini-3-pro-image"

"gemini-2.5-flash-image"

prompt

string

必填

必填。生成图片的提示词。

Required string length: 1 - 32000

images

(string | object)[]

可选。图生图参考图，最多 14 张；具体数量上限以所选模型为准。省略时为文生图。

Required array length: 1 - 14 elements

Minimum string length: 1

size

enum<string>

输出宽高比。网关把该字段约分并映射为 Gemini aspectRatio；它不是像素尺寸。极端比例 1:4、4:1、1:8、8:1 仅 gemini-3.1-flash-image 支持。

可用选项:

1:1,

1:4,

1:8,

2:3,

3:2,

3:4,

4:1,

4:3,

4:5,

5:4,

8:1,

9:16,

16:9,

21:9

quality

enum<string>

输出分辨率映射：low→512px、standard→1K、medium→2K、high/hd→4K、auto/省略→不指定。gemini-2.5-flash-image 只支持 1K。

可用选项:

standard,

hd,

low,

medium,

high,

auto

google_search

boolean

Gemini 原生扩展，是否启用 Google Search grounding；仅支持此能力的模型可用。

image_search

boolean

Gemini 原生扩展，是否启用图片搜索 grounding；仅支持此能力的模型可用。

thinking_level

enum<string>

Gemini 原生扩展，模型思考强度；仅支持此能力的模型可用。

可用选项:

Minimal,

High

response_format

enum<string>

默认值:url

Tikway 图片交付格式，url 返回图片链接，b64_json 返回纯 Base64。默认 url；该字段由网关消费，不作为上游模型参数。

可用选项:

b64_json,

url

响应

200 - application/json

created

integer

必填

图像创建时的 Unix 时间戳（秒）。

data

object[]

必填

生成结果列表。

Hide child attributes

data.b64_json

string

Base64 编码的图像数据。GPT Image 默认返回；DALL·E 在 response_format=b64_json 时返回。

data.revised_prompt

string

DALL·E 3 实际使用的修订提示词。

data.url

string<uri>

生成图像 URL。仅 DALL·E 且 response_format=url 时返回；有效期为 60 分钟。

background

enum<string>

实际采用的背景设置。

可用选项:

transparent,

opaque

output_format

enum<string>

实际输出图像格式。

可用选项:

png,

webp,

jpeg

quality

enum<string>

实际生成质量。

可用选项:

low,

medium,

high

size

string

实际生成的图像尺寸。

usage

object

GPT Image 模型的 token 用量。

Hide child attributes

usage.input_tokens

integer

输入（文本和图像）的 token 数。

usage.input_tokens_details

object

Hide child attributes

usage.input_tokens_details.image_tokens

integer

输入图像 token 数。

usage.input_tokens_details.text_tokens

integer

输入文本 token 数。

usage.output_tokens

integer

输出 token 数。

usage.output_tokens_details

object

Hide child attributes

usage.output_tokens_details.image_tokens

integer

输出图像 token 数。

usage.output_tokens_details.text_tokens

integer

输出文本 token 数。

usage.total_tokens

integer

输入和输出 token 总数。

对话补全

图片生成

Midjourney

视频生成

向量嵌入

语音转写

语音合成

决策评估

实用接口

图片生成

授权

请求体

响应