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 画像生成
- Krea 2 Turbo は超高速なテキストから画像生成モデルで、高精細で映画のような質感の画面を出力できます
- テキストから画像生成のみに対応し、参照画像には対応していません
- 非同期処理モード、返却されたタスクIDで照会
- 生成された画像リンクは24時間有効です、お早めに保存してください
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"
}
}承認
##すべてのAPIにBearer Token認証が必要です##
APIキーの取得:
APIキー管理ページにアクセスしてAPIキーを取得してください
リクエストヘッダーに追加:
Authorization: Bearer YOUR_API_KEY
ボディ
画像生成モデル名
krea-2-turbo "krea-2-turbo"
プロンプト、生成したい画像を説明します。英語での表現が最も効果的で、長さは最大 640 tokens です
"A cinematic product poster, silver headphones floating against a deep matte-black backdrop with soft rim lighting"
生成画像のアスペクト比、指定しない場合はデフォルトで 1:1。実際の出力ピクセルは size と quality の組み合わせで決まります。
対応する比率(全 11 種類): 1:1、4:3、3:4、5:4、4:5、2:3、3:2、9:16、16:9、1:2、2:1
出力ピクセル対照(size × quality):
| 比率 | 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"
出力解像度のレベル 1K / 2K、指定しない場合はデフォルトで 1K。2K は 1K よりも高解像度の画像を出力します。レベルによって課金が異なります、詳細は料金ページをご覧ください
1K, 2K "1K"
類似した構図を生成するためのランダムシード
注意:
- 範囲:
0から1048576 0または空欄の場合はランダムシードを使用します- 同じシードと同じプロンプトを使用すると、同じ構図を再現できる場合があります
0 <= x <= 104857612345
追加のNSFWコンテンツモデレーションを有効化
注意:
- デフォルト:
false(無効) - 無効時でも基本的なコンテンツモデレーションは常に有効
- より厳格なコンテンツフィルタリングには有効化してください
false
タスク完了後の HTTPS コールバックアドレス
コールバックタイミング:
- タスクが完了、失敗、またはキャンセルされた時にトリガーされます
- 課金確認完了後に送信されます
セキュリティ制限:
- HTTPS プロトコルのみサポート
- 内部 IP アドレスへのコールバックは禁止(127.0.0.1、10.x.x.x、172.16-31.x.x、192.168.x.x など)
- URL の長さは
2048文字以内
コールバックメカニズム:
- タイムアウト:
10秒 - 失敗時最大
3回リトライ(1秒/2秒/4秒後にリトライ) - コールバックレスポンスボディの形式はタスククエリ API のレスポンス形式と一致
- コールバックアドレスが 2xx ステータスコードを返した場合は成功とみなされ、その他のステータスコードはリトライをトリガーします
"https://your-domain.com/webhooks/image-task-completed"
レスポンス
画像生成タスクが正常に作成されました
タスク作成タイムスタンプ
1751280000
タスク ID
"task-unified-1751280000-k2t9x8a3"
使用された実際のモデル名
"krea-2-turbo"
タスクの具体的なタイプ
image.generation.task タスク進捗率(0-100)
0 <= x <= 1000
タスクステータス
pending, processing, completed, failed "pending"
非同期タスク情報
Show child attributes
Show child attributes
タスクの出力タイプ
text, image, audio, video "image"
使用量と課金情報
Show child attributes
Show child attributes