生成图片

生成图片

curl --request POST \
  --url https://api.tikway.ai/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "microsoft/mai-image-2.5-pro",
  "prompt": "日落时分的群山景色，夕阳映照山峦与天空，光影柔和，画面自然细腻，具有电影感。",
  "size": "1024x1024"
}
'

import requests

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

payload = {
    "model": "microsoft/mai-image-2.5-pro",
    "prompt": "日落时分的群山景色，夕阳映照山峦与天空，光影柔和，画面自然细腻，具有电影感。",
    "size": "1024x1024"
}
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: 'microsoft/mai-image-2.5-pro',
    prompt: '日落时分的群山景色，夕阳映照山峦与天空，光影柔和，画面自然细腻，具有电影感。',
    size: '1024x1024'
  })
};

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' => 'microsoft/mai-image-2.5-pro',
    'prompt' => '日落时分的群山景色，夕阳映照山峦与天空，光影柔和，画面自然细腻，具有电影感。',
    'size' => '1024x1024'
  ]),
  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\": \"microsoft/mai-image-2.5-pro\",\n  \"prompt\": \"日落时分的群山景色，夕阳映照山峦与天空，光影柔和，画面自然细腻，具有电影感。\",\n  \"size\": \"1024x1024\"\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\": \"microsoft/mai-image-2.5-pro\",\n  \"prompt\": \"日落时分的群山景色，夕阳映照山峦与天空，光影柔和，画面自然细腻，具有电影感。\",\n  \"size\": \"1024x1024\"\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\": \"microsoft/mai-image-2.5-pro\",\n  \"prompt\": \"日落时分的群山景色，夕阳映照山峦与天空，光影柔和，画面自然细腻，具有电影感。\",\n  \"size\": \"1024x1024\"\n}"

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

{
  "created": 1788923928,
  "data": [
    {
      "index": 0,
      "b64_json": "iVBORw0KGgoAAAANSUhEUgAA..."
    }
  ],
  "model": "microsoft/mai-image-2.5-pro",
  "output_format": "png",
  "size": "1024x1024",
  "usage": {
    "input_tokens": 36,
    "input_tokens_details": {
      "text_tokens": 36
    },
    "output_tokens": 1024,
    "output_tokens_details": {
      "image_tokens": 1024
    },
    "total_tokens": 1060
  }
}

POST

https://api.tikway.ai

images

generations

生成图片

curl --request POST \
  --url https://api.tikway.ai/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "microsoft/mai-image-2.5-pro",
  "prompt": "日落时分的群山景色，夕阳映照山峦与天空，光影柔和，画面自然细腻，具有电影感。",
  "size": "1024x1024"
}
'

import requests

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

payload = {
    "model": "microsoft/mai-image-2.5-pro",
    "prompt": "日落时分的群山景色，夕阳映照山峦与天空，光影柔和，画面自然细腻，具有电影感。",
    "size": "1024x1024"
}
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: 'microsoft/mai-image-2.5-pro',
    prompt: '日落时分的群山景色，夕阳映照山峦与天空，光影柔和，画面自然细腻，具有电影感。',
    size: '1024x1024'
  })
};

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' => 'microsoft/mai-image-2.5-pro',
    'prompt' => '日落时分的群山景色，夕阳映照山峦与天空，光影柔和，画面自然细腻，具有电影感。',
    'size' => '1024x1024'
  ]),
  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\": \"microsoft/mai-image-2.5-pro\",\n  \"prompt\": \"日落时分的群山景色，夕阳映照山峦与天空，光影柔和，画面自然细腻，具有电影感。\",\n  \"size\": \"1024x1024\"\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\": \"microsoft/mai-image-2.5-pro\",\n  \"prompt\": \"日落时分的群山景色，夕阳映照山峦与天空，光影柔和，画面自然细腻，具有电影感。\",\n  \"size\": \"1024x1024\"\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\": \"microsoft/mai-image-2.5-pro\",\n  \"prompt\": \"日落时分的群山景色，夕阳映照山峦与天空，光影柔和，画面自然细腻，具有电影感。\",\n  \"size\": \"1024x1024\"\n}"

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

{
  "created": 1788923928,
  "data": [
    {
      "index": 0,
      "b64_json": "iVBORw0KGgoAAAANSUhEUgAA..."
    }
  ],
  "model": "microsoft/mai-image-2.5-pro",
  "output_format": "png",
  "size": "1024x1024",
  "usage": {
    "input_tokens": 36,
    "input_tokens_details": {
      "text_tokens": 36
    },
    "output_tokens": 1024,
    "output_tokens_details": {
      "image_tokens": 1024
    },
    "total_tokens": 1060
  }
}

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

使用 Doubao Seedream 5.0 Pro 根据文字生成图片。

model

enum<string>

必填

必填。MAI Image 2.5 Pro 的 Forward 模型 ID。

可用选项:

microsoft/mai-image-2.5-pro

prompt

string

必填

必填。图片提示词，原生模型上下文上限 32,000 tokens。

Minimum string length: 1

示例:

"一座漂浮在云海上的未来城市，日出时分，电影级光影，建筑细节丰富"

size

string

默认值:1024x1024

OFOX 兼容尺寸 WIDTHxHEIGHT。MAI Image 2.5 Pro 的宽、高均至少 768，且总像素不超过 1,048,576。

Pattern: ^[1-9]\d*x[1-9]\d*$

response_format

enum<string>

默认值:b64_json

OFOX 兼容响应格式。MAI 原生输出始终为单张 PNG Base64；建议使用 b64_json。

可用选项:

b64_json,

url

响应

200 - application/json

统一转换后的 OpenAI Images 响应。

created

integer

必填

图片创建时间的 Unix 时间戳，单位为秒。

示例:

1788480000

data

object[]

必填

生成结果列表。

Option 1
Option 2

Hide child attributes

data.b64_json

string

必填

Base64 编码图片；response_format=b64_json 时返回。

Minimum string length: 1

data.index

integer

结果索引。

必填范围: x >= 0

data.url

string<uri>

临时图片链接；response_format=url 时返回。

model

string

必填

实际执行请求的模型标识。

output_format

string

必填

实际输出格式。

size

string

必填

实际生成尺寸。

usage

object

必填

本次生成的用量信息。

Hide child attributes

usage.input_tokens

integer

必填

输入 token 数。

usage.input_tokens_details

object

必填

Hide child attributes

usage.input_tokens_details.text_tokens

integer

必填

提示词消耗的 token 数。

usage.output_tokens

integer

必填

输出 token 数。

usage.output_tokens_details

object

必填

Hide child attributes

usage.output_tokens_details.image_tokens

integer

必填

输出图片消耗的token数。

usage.total_tokens

integer

必填

总 token 数。

对话补全

图片生成

视频生成

向量嵌入

语音转写

授权

请求体

响应