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 Bildgenerierung
- Krea 2 Turbo ist ein ultraschnelles Text-zu-Bild-Generierungsmodell, das detailgetreue Bilder mit filmischer Anmutung erzeugt
- Unterstützt ausschließlich Text-zu-Bild-Generierung, keine Referenzbilder
- Asynchroner Verarbeitungsmodus, verwenden Sie die zurückgegebene Aufgaben-ID zur Abfrage
- Generierte Bildlinks sind 24 Stunden gültig, bitte speichern Sie diese umgehend
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"
}
}Autorisierungen
##Alle APIs erfordern Bearer-Token-Authentifizierung##
API-Schlüssel erhalten:
Besuchen Sie die API-Schlüsselverwaltungsseite, um Ihren API-Schlüssel zu erhalten
Zum Anfrage-Header hinzufügen:
Authorization: Bearer YOUR_API_KEY
Body
Modellname für Bildgenerierung
krea-2-turbo "krea-2-turbo"
Prompt, der das zu generierende Bild beschreibt. Englische Eingaben liefern die besten Ergebnisse; maximale Länge 640 Tokens
"A cinematic product poster, silver headphones floating against a deep matte-black backdrop with soft rim lighting"
Seitenverhältnis des generierten Bildes, Standard 1:1, wenn nicht angegeben. Die tatsächliche Ausgabeauflösung wird gemeinsam durch size und quality bestimmt.
Unterstützte Verhältnisse (insgesamt 11): 1:1, 4:3, 3:4, 5:4, 4:5, 2:3, 3:2, 9:16, 16:9, 1:2, 2:1
Übersicht der Ausgabeauflösung (size × quality):
| Verhältnis | 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"
Auflösungsstufe der Ausgabe 1K / 2K, Standard 1K, wenn nicht angegeben. 2K erzeugt Bilder mit höherer Auflösung als 1K. Unterschiedliche Stufen werden unterschiedlich abgerechnet, siehe Preisseite
1K, 2K "1K"
Zufalls-Seed zur Erzeugung ähnlicher Kompositionen
Hinweis:
- Bereich:
0bis1048576 0oder leer lassen für einen zufälligen Seed- Gleicher Seed mit gleichem Prompt kann dieselbe Komposition reproduzieren
0 <= x <= 104857612345
Zusätzliche NSFW-Inhaltsmoderation aktivieren
Hinweis:
- Standard:
false(deaktiviert) - Grundlegende Inhaltsmoderation ist auch bei Deaktivierung immer aktiv
- Aktivieren für strengere Inhaltsfilterung
false
HTTPS-Callback-Adresse nach Aufgabenabschluss
Callback-Zeitpunkt:
- Wird ausgelöst, wenn die Aufgabe abgeschlossen, fehlgeschlagen oder abgebrochen wurde
- Wird nach Abschluss der Abrechnungsbestätigung gesendet
Sicherheitsbeschränkungen:
- Nur HTTPS-Protokoll wird unterstützt
- Callback an interne IP-Adressen ist verboten (127.0.0.1, 10.x.x.x, 172.16-31.x.x, 192.168.x.x, usw.)
- URL-Länge darf
2048Zeichen nicht überschreiten
Callback-Mechanismus:
- Timeout:
10Sekunden - Maximal
3Wiederholungsversuche bei Fehler (Wiederholung nach1Sekunde/2Sekunden/4Sekunden) - Das Format des Callback-Antwortkörpers entspricht dem Antwortformat der Aufgabenabfrage-API
- Ein 2xx-Statuscode der Callback-Adresse gilt als erfolgreich, andere Statuscodes lösen eine Wiederholung aus
"https://your-domain.com/webhooks/image-task-completed"
Antwort
Bildgenerierungsaufgabe erfolgreich erstellt
Zeitstempel der Aufgabenerstellung
1751280000
Aufgaben-ID
"task-unified-1751280000-k2t9x8a3"
Tatsächlich verwendeter Modellname
"krea-2-turbo"
Spezifischer Typ der Aufgabe
image.generation.task Aufgabenfortschritt in Prozent (0-100)
0 <= x <= 1000
Aufgabenstatus
pending, processing, completed, failed "pending"
Asynchrone Aufgabeninformationen
Show child attributes
Show child attributes
Ausgabetyp der Aufgabe
text, image, audio, video "image"
Nutzungs- und Abrechnungsinformationen
Show child attributes
Show child attributes