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POST
/
styles
/
train
Train a custom style (LoRA)
curl --request POST \
  --url https://api.krea.ai/styles/train \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "name": "<string>",
  "urls": [
    "<string>"
  ],
  "model": "flux_dev",
  "type": "Default",
  "trigger_word": "<string>",
  "learning_rate": 123,
  "max_train_steps": 1000,
  "batch_size": 4503599627370496
}
'
import requests

url = "https://api.krea.ai/styles/train"

payload = {
"name": "<string>",
"urls": ["<string>"],
"model": "flux_dev",
"type": "Default",
"trigger_word": "<string>",
"learning_rate": 123,
"max_train_steps": 1000,
"batch_size": 4503599627370496
}
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({
name: '<string>',
urls: ['<string>'],
model: 'flux_dev',
type: 'Default',
trigger_word: '<string>',
learning_rate: 123,
max_train_steps: 1000,
batch_size: 4503599627370496
})
};

fetch('https://api.krea.ai/styles/train', 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.krea.ai/styles/train",
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([
'name' => '<string>',
'urls' => [
'<string>'
],
'model' => 'flux_dev',
'type' => 'Default',
'trigger_word' => '<string>',
'learning_rate' => 123,
'max_train_steps' => 1000,
'batch_size' => 4503599627370496
]),
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.krea.ai/styles/train"

payload := strings.NewReader("{\n \"name\": \"<string>\",\n \"urls\": [\n \"<string>\"\n ],\n \"model\": \"flux_dev\",\n \"type\": \"Default\",\n \"trigger_word\": \"<string>\",\n \"learning_rate\": 123,\n \"max_train_steps\": 1000,\n \"batch_size\": 4503599627370496\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.krea.ai/styles/train")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"name\": \"<string>\",\n \"urls\": [\n \"<string>\"\n ],\n \"model\": \"flux_dev\",\n \"type\": \"Default\",\n \"trigger_word\": \"<string>\",\n \"learning_rate\": 123,\n \"max_train_steps\": 1000,\n \"batch_size\": 4503599627370496\n}")
.asString();
require 'uri'
require 'net/http'

url = URI("https://api.krea.ai/styles/train")

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 \"name\": \"<string>\",\n \"urls\": [\n \"<string>\"\n ],\n \"model\": \"flux_dev\",\n \"type\": \"Default\",\n \"trigger_word\": \"<string>\",\n \"learning_rate\": 123,\n \"max_train_steps\": 1000,\n \"batch_size\": 4503599627370496\n}"

response = http.request(request)
puts response.read_body
{
  "job_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "created_at": "2023-11-07T05:31:56Z",
  "completed_at": null,
  "result": null,
  "error": {
    "code": "<string>",
    "message": "<string>"
  }
}
{
"error": "<string>"
}
{
"error": "<string>"
}
{
"error": "<string>"
}
{
"error": "<string>"
}
Trained styles are private and only usable by the API user that created them. To allow other workspace members to use the style, share it with the workspace using POST /styles/{id}/share/workspace.

Authorizations

Authorization
string
header
required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Headers

X-Webhook-URL
string<uri>

URL to receive a POST request when the job completes. The webhook will receive the job data including results.

Body

application/json
name
string
required
urls
string<uri>[]
required

Can be an external URL, base64 data URI, or uploaded asset URL.

Maximum string length: 1024
model
enum<string>
default:flux_dev
Available options:
flux_dev,
flux_schnell,
wan,
wan22
type
enum<string>
default:Default
Available options:
Style,
Object,
Character,
Default
trigger_word
string
learning_rate
number
max_train_steps
integer
Required range: 1 <= x <= 2000
batch_size
integer
Required range: 1 <= x <= 9007199254740991

Response

Training job created successfully. The job will be in a pending state until completed. Use /jobs/{id} to check progress.

job_id
string<uuid>
required
Pattern: ^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$
status
enum<string>
required
Available options:
backlogged,
queued,
scheduled,
processing,
sampling,
intermediate-complete,
completed,
failed,
cancelled
created_at
string<date-time>
required
Pattern: ^(?:(?:\d\d[2468][048]|\d\d[13579][26]|\d\d0[48]|[02468][048]00|[13579][26]00)-02-29|\d{4}-(?:(?:0[13578]|1[02])-(?:0[1-9]|[12]\d|3[01])|(?:0[469]|11)-(?:0[1-9]|[12]\d|30)|(?:02)-(?:0[1-9]|1\d|2[0-8])))T(?:(?:[01]\d|2[0-3]):[0-5]\d(?::[0-5]\d(?:\.\d+)?)?(?:Z))$
completed_at
null
required
result
null
required
error
object