curl --request POST \
--url https://api.evolink.ai/v1/images/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "krea-2-turbo",
"prompt": "A cinematic product poster, silver headphones floating against a deep matte-black backdrop with soft rim lighting",
"size": "16:9",
"quality": "1K"
}
'import requests
url = "https://api.evolink.ai/v1/images/generations"
payload = {
"model": "krea-2-turbo",
"prompt": "A cinematic product poster, silver headphones floating against a deep matte-black backdrop with soft rim lighting",
"size": "16:9",
"quality": "1K"
}
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: 'krea-2-turbo',
prompt: 'A cinematic product poster, silver headphones floating against a deep matte-black backdrop with soft rim lighting',
size: '16:9',
quality: '1K'
})
};
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' => 'krea-2-turbo',
'prompt' => 'A cinematic product poster, silver headphones floating against a deep matte-black backdrop with soft rim lighting',
'size' => '16:9',
'quality' => '1K'
]),
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\": \"krea-2-turbo\",\n \"prompt\": \"A cinematic product poster, silver headphones floating against a deep matte-black backdrop with soft rim lighting\",\n \"size\": \"16:9\",\n \"quality\": \"1K\"\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\": \"krea-2-turbo\",\n \"prompt\": \"A cinematic product poster, silver headphones floating against a deep matte-black backdrop with soft rim lighting\",\n \"size\": \"16:9\",\n \"quality\": \"1K\"\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\": \"krea-2-turbo\",\n \"prompt\": \"A cinematic product poster, silver headphones floating against a deep matte-black backdrop with soft rim lighting\",\n \"size\": \"16:9\",\n \"quality\": \"1K\"\n}"
response = http.request(request)
puts response.read_body{
"created": 1751280000,
"id": "task-unified-1751280000-k2t9x8a3",
"model": "krea-2-turbo",
"object": "image.generation.task",
"progress": 0,
"status": "pending",
"task_info": {
"can_cancel": false,
"estimated_time": 45
},
"type": "image",
"usage": {
"billing_rule": "per_call",
"credits_reserved": 0.05,
"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: krea-2-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"
}
}Krea 2 Turbo 图像生成
- Krea 2 Turbo 是一款超快速文本生成图像模型,可输出高保真、富有电影质感的画面
- 仅支持文本生成图像,不支持参考图
- 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
curl --request POST \
--url https://api.evolink.ai/v1/images/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "krea-2-turbo",
"prompt": "A cinematic product poster, silver headphones floating against a deep matte-black backdrop with soft rim lighting",
"size": "16:9",
"quality": "1K"
}
'import requests
url = "https://api.evolink.ai/v1/images/generations"
payload = {
"model": "krea-2-turbo",
"prompt": "A cinematic product poster, silver headphones floating against a deep matte-black backdrop with soft rim lighting",
"size": "16:9",
"quality": "1K"
}
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: 'krea-2-turbo',
prompt: 'A cinematic product poster, silver headphones floating against a deep matte-black backdrop with soft rim lighting',
size: '16:9',
quality: '1K'
})
};
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' => 'krea-2-turbo',
'prompt' => 'A cinematic product poster, silver headphones floating against a deep matte-black backdrop with soft rim lighting',
'size' => '16:9',
'quality' => '1K'
]),
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\": \"krea-2-turbo\",\n \"prompt\": \"A cinematic product poster, silver headphones floating against a deep matte-black backdrop with soft rim lighting\",\n \"size\": \"16:9\",\n \"quality\": \"1K\"\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\": \"krea-2-turbo\",\n \"prompt\": \"A cinematic product poster, silver headphones floating against a deep matte-black backdrop with soft rim lighting\",\n \"size\": \"16:9\",\n \"quality\": \"1K\"\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\": \"krea-2-turbo\",\n \"prompt\": \"A cinematic product poster, silver headphones floating against a deep matte-black backdrop with soft rim lighting\",\n \"size\": \"16:9\",\n \"quality\": \"1K\"\n}"
response = http.request(request)
puts response.read_body{
"created": 1751280000,
"id": "task-unified-1751280000-k2t9x8a3",
"model": "krea-2-turbo",
"object": "image.generation.task",
"progress": 0,
"status": "pending",
"task_info": {
"can_cancel": false,
"estimated_time": 45
},
"type": "image",
"usage": {
"billing_rule": "per_call",
"credits_reserved": 0.05,
"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: krea-2-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
图像生成模型名称
krea-2-turbo "krea-2-turbo"
提示词,描述想要生成的图像。使用英文表达效果最佳,长度最多 640 tokens
"A cinematic product poster, silver headphones floating against a deep matte-black backdrop with soft rim lighting"
生成图像的宽高比,不传时默认 1:1。实际输出像素由 size 与 quality 共同决定。
支持的比例(共 11 种): 1:1、4:3、3:4、5:4、4:5、2:3、3:2、9:16、16:9、1:2、2:1
输出像素对照(size × quality):
| 比例 | 1K | 2K |
|---|---|---|
1:1 | 1024×1024 | 2048×2048 |
4:3 | 1152×896 | 2304×1728 |
3:4 | 896×1152 | 1728×2304 |
5:4 | 1152×896 | 2240×1792 |
4:5 | 896×1152 | 1792×2240 |
2:3 | 832×1280 | 1664×2496 |
3:2 | 1280×832 | 2496×1664 |
9:16 | 768×1344 | 1472×2688 |
16:9 | 1344×768 | 2688×1472 |
1:2 | 704×1472 | 1408×2816 |
2:1 | 1472×704 | 2816×1408 |
1:1, 4:3, 3:4, 5:4, 4:5, 2:3, 3:2, 9:16, 16:9, 1:2, 2:1 "16:9"
输出清晰度档位 1K / 2K,不传时默认 1K。2K 相比 1K 输出更高分辨率的图像。不同档位计费不同,详见定价页
1K, 2K "1K"
随机种子,用于生成类似的构图
注意:
- 取值范围:
0到1048576 0或留空则使用随机种子- 相同种子配合相同提示词有可能复现相同构图
0 <= x <= 104857612345
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
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
"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
1751280000
任务ID
"task-unified-1751280000-k2t9x8a3"
实际使用的模型名称
"krea-2-turbo"
任务的具体类型
image.generation.task 任务进度百分比 (0-100)
0 <= x <= 1000
任务状态
pending, processing, completed, failed "pending"
异步任务信息
Show child attributes
Show child attributes
任务的输出类型
text, image, audio, video "image"
使用量和计费信息
Show child attributes
Show child attributes