z-image-turbo接口
curl --request POST \
--url https://api.evolink.ai/v1/images/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "z-image-turbo",
"prompt": "一只可爱的猫咪",
"size": "1:1"
}
'import requests
url = "https://api.evolink.ai/v1/images/generations"
payload = {
"model": "z-image-turbo",
"prompt": "一只可爱的猫咪",
"size": "1:1"
}
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: 'z-image-turbo', prompt: '一只可爱的猫咪', size: '1:1'})
};
fetch('https://api.evolink.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.evolink.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' => 'z-image-turbo',
'prompt' => '一只可爱的猫咪',
'size' => '1:1'
]),
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.evolink.ai/v1/images/generations"
payload := strings.NewReader("{\n \"model\": \"z-image-turbo\",\n \"prompt\": \"一只可爱的猫咪\",\n \"size\": \"1:1\"\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.evolink.ai/v1/images/generations")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"z-image-turbo\",\n \"prompt\": \"一只可爱的猫咪\",\n \"size\": \"1:1\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.evolink.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\": \"z-image-turbo\",\n \"prompt\": \"一只可爱的猫咪\",\n \"size\": \"1:1\"\n}"
response = http.request(request)
puts response.read_body{
"created": 1757165031,
"id": "task-unified-1757165031-uyujaw3d",
"model": "z-image-turbo",
"object": "image.generation.task",
"progress": 0,
"status": "pending",
"task_info": {
"can_cancel": true,
"estimated_time": 10
},
"type": "image",
"usage": {
"billing_rule": "per_call",
"credits_reserved": 0.026,
"user_group": "default"
}
}{
"error": {
"code": "invalid_request",
"message": "Invalid request parameters",
"type": "invalid_request_error"
}
}{
"error": {
"code": "unauthorized",
"message": "Invalid or expired token",
"type": "authentication_error"
}
}{
"error": {
"code": "insufficient_quota",
"message": "Insufficient quota. Please top up your account.",
"type": "insufficient_quota"
}
}{
"error": {
"code": "model_access_denied",
"message": "Token does not have access to model: z-image-turbo",
"type": "invalid_request_error"
}
}{
"error": {
"code": "rate_limit_exceeded",
"message": "Too many requests, please try again later",
"type": "rate_limit_error"
}
}{
"error": {
"code": "internal_error",
"message": "Internal server error",
"type": "api_error"
}
}Z Image Turbo
Z Image Turbo 图像生成
- Z Image Turbo 是一款超快速文本生成图像模型,具有卓越的生成质量
- 异步处理模式,使用返回的任务ID 进行查询
- 生成的图像链接,有效期为24小时,请尽快保存
POST
/
v1
/
images
/
generations
z-image-turbo接口
curl --request POST \
--url https://api.evolink.ai/v1/images/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "z-image-turbo",
"prompt": "一只可爱的猫咪",
"size": "1:1"
}
'import requests
url = "https://api.evolink.ai/v1/images/generations"
payload = {
"model": "z-image-turbo",
"prompt": "一只可爱的猫咪",
"size": "1:1"
}
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: 'z-image-turbo', prompt: '一只可爱的猫咪', size: '1:1'})
};
fetch('https://api.evolink.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.evolink.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' => 'z-image-turbo',
'prompt' => '一只可爱的猫咪',
'size' => '1:1'
]),
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.evolink.ai/v1/images/generations"
payload := strings.NewReader("{\n \"model\": \"z-image-turbo\",\n \"prompt\": \"一只可爱的猫咪\",\n \"size\": \"1:1\"\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.evolink.ai/v1/images/generations")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"z-image-turbo\",\n \"prompt\": \"一只可爱的猫咪\",\n \"size\": \"1:1\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.evolink.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\": \"z-image-turbo\",\n \"prompt\": \"一只可爱的猫咪\",\n \"size\": \"1:1\"\n}"
response = http.request(request)
puts response.read_body{
"created": 1757165031,
"id": "task-unified-1757165031-uyujaw3d",
"model": "z-image-turbo",
"object": "image.generation.task",
"progress": 0,
"status": "pending",
"task_info": {
"can_cancel": true,
"estimated_time": 10
},
"type": "image",
"usage": {
"billing_rule": "per_call",
"credits_reserved": 0.026,
"user_group": "default"
}
}{
"error": {
"code": "invalid_request",
"message": "Invalid request parameters",
"type": "invalid_request_error"
}
}{
"error": {
"code": "unauthorized",
"message": "Invalid or expired token",
"type": "authentication_error"
}
}{
"error": {
"code": "insufficient_quota",
"message": "Insufficient quota. Please top up your account.",
"type": "insufficient_quota"
}
}{
"error": {
"code": "model_access_denied",
"message": "Token does not have access to model: z-image-turbo",
"type": "invalid_request_error"
}
}{
"error": {
"code": "rate_limit_exceeded",
"message": "Too many requests, please try again later",
"type": "rate_limit_error"
}
}{
"error": {
"code": "internal_error",
"message": "Internal server error",
"type": "api_error"
}
}授权
##所有接口均需要使用Bearer Token进行认证##
获取 API Key :
访问 API Key 管理页面 获取您的 API Key
使用时在请求头中添加:
Authorization: Bearer YOUR_API_KEY
请求体
application/json
图像生成模型名称
可用选项:
z-image-turbo 示例:
"z-image-turbo"
提示词,描述想要生成的图像,限制为2000字符
Maximum string length:
2000示例:
"一只可爱的猫咪"
生成图像的尺寸,支持两种格式:
方式1 - 宽高比格式:
- 使用预设比例,如
1:1、16:9、9:16等 - 支持的比例:
1:1、2:3、3:2、3:4、4:3、9:16、16:9、1:2、2:1
方式2 - 自定义尺寸:
- 宽度x高度,如:
1024x768 - 宽度和高度取值范围:
376-1536像素
可用选项:
1:1, 2:3, 3:2, 3:4, 4:3, 9:16, 16:9, 1:2, 2:1 示例:
"1:1"
随机种子,用于生成可复现的结果
注意:
- 取值范围:
1到2147483647 - 留空则使用随机种子
- 相同种子配合相同提示词可生成相似结果
必填范围:
1 <= x <= 2147483647示例:
12345
是否启用额外的NSFW内容审核
注意:
- 默认值:
false(关闭) - 即使关闭,基础内容审核仍然生效
- 开启后将进行更严格的内容过滤
示例:
false
任务完成后的HTTPS回调地址
回调时机:
- 任务完成(completed)、失败(failed)或取消(cancelled)时触发
- 在计费确认完成后发送
安全限制:
- 仅支持HTTPS协议
- 禁止回调到内网IP地址(127.0.0.1、10.x.x.x、172.16-31.x.x、192.168.x.x等)
- URL长度不超过
2048字符
回调机制:
- 超时时间:
10秒 - 失败后最多重试
3次(会分别在失败的1秒/2秒/4秒后进行重试) - 回调响应体格式与任务查询接口返回的格式一致
- 回调地址若返回2xx状态码视为成功,其他状态码会触发重试
示例:
"https://your-domain.com/webhooks/image-task-completed"
响应
图像生成任务创建成功
任务创建时间戳
示例:
1757165031
任务ID
示例:
"task-unified-1757165031-uyujaw3d"
实际使用的模型名称
示例:
"z-image-turbo"
任务的具体类型
可用选项:
image.generation.task 任务进度百分比 (0-100)
必填范围:
0 <= x <= 100示例:
0
任务状态
可用选项:
pending, processing, completed, failed 示例:
"pending"
异步任务信息
Show child attributes
Show child attributes
任务的输出类型
可用选项:
text, image, audio, video 示例:
"image"
使用量和计费信息
Show child attributes
Show child attributes