Start a training run
Viewing v2— current version
curl --request POST \ --url https://api.app.layer.ai/api/v2/workspaces/:workspace_id/training-runs \ --header 'Authorization: Bearer <token>' \ --header 'Content-Type: application/json' \ --data '{ "reference_set_id": "<uuid>", "base_model_id": "<string>", "training_framework": "fal", "webhook": { "url": "<string>", "events": [ "inference.completed" ], "metadata": {} }}'import requests
url = "https://api.app.layer.ai/api/v2/workspaces/:workspace_id/training-runs"
payload = { "reference_set_id": "<uuid>", "base_model_id": "<string>", "training_framework": "fal", "webhook": { "url": "<string>", "events": ["inference.completed"], "metadata": {} }}headers = { "Authorization": "Bearer <token>", "Content-Type": "application/json"}
response = requests.post(url, json=payload, headers=headers)
print(response.json())const url = 'https://api.app.layer.ai/api/v2/workspaces/:workspace_id/training-runs';const options = { method: 'POST', headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'}, body: '{"reference_set_id":"<uuid>","base_model_id":"<string>","training_framework":"fal","webhook":{"url":"<string>","events":["inference.completed"],"metadata":{}}}'};
try { const response = await fetch(url, options); const data = await response.json(); console.log(data);} catch (error) { console.error(error);}package main
import ( "fmt" "strings" "net/http" "io")
func main() {
url := "https://api.app.layer.ai/api/v2/workspaces/:workspace_id/training-runs"
payload := strings.NewReader("{\n \"reference_set_id\": \"<uuid>\",\n \"base_model_id\": \"<string>\",\n \"training_framework\": \"fal\",\n \"webhook\": {\n \"url\": \"<string>\",\n \"events\": [\n \"inference.completed\"\n ],\n \"metadata\": {}\n }\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(res) fmt.Println(string(body))
}<?php
$curl = curl_init();
curl_setopt_array($curl, [ CURLOPT_URL => "https://api.app.layer.ai/api/v2/workspaces/:workspace_id/training-runs", 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([ 'reference_set_id' => '<uuid>', 'base_model_id' => '<string>', 'training_framework' => 'fal', 'webhook' => [ 'url' => '<string>', 'events' => [ 'inference.completed' ], 'metadata' => [
] ] ]), 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;}OkHttpClient client = new OkHttpClient();
MediaType mediaType = MediaType.parse("application/json");RequestBody body = RequestBody.create(mediaType, "{\n \"reference_set_id\": \"<uuid>\",\n \"base_model_id\": \"<string>\",\n \"training_framework\": \"fal\",\n \"webhook\": {\n \"url\": \"<string>\",\n \"events\": [\n \"inference.completed\"\n ],\n \"metadata\": {}\n }\n}");Request request = new Request.Builder() .url("https://api.app.layer.ai/api/v2/workspaces/:workspace_id/training-runs") .post(body) .addHeader("Authorization", "Bearer <token>") .addHeader("Content-Type", "application/json") .build();
Response response = client.newCall(request).execute();require 'uri'require 'net/http'
url = URI("https://api.app.layer.ai/api/v2/workspaces/:workspace_id/training-runs")
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 \"reference_set_id\": \"<uuid>\",\n \"base_model_id\": \"<string>\",\n \"training_framework\": \"fal\",\n \"webhook\": {\n \"url\": \"<string>\",\n \"events\": [\n \"inference.completed\"\n ],\n \"metadata\": {}\n }\n}"
response = http.request(request)puts response.read_bodyvar client = new RestClient("https://api.app.layer.ai/api/v2/workspaces/:workspace_id/training-runs");var request = new RestRequest("", Method.Post);request.AddHeader("Authorization", "Bearer <token>");request.AddHeader("Content-Type", "application/json");request.AddParameter("application/json", "{\n \"reference_set_id\": \"<uuid>\",\n \"base_model_id\": \"<string>\",\n \"training_framework\": \"fal\",\n \"webhook\": {\n \"url\": \"<string>\",\n \"events\": [\n \"inference.completed\"\n ],\n \"metadata\": {}\n }\n}", ParameterType.RequestBody);var response = client.Execute(request);Unchanged from v1. This endpoint’s documented request and response schemas are identical in v1 and v2 — change the
/v1prefix to/v2. Schema equality is not a promise about behaviour, so keep your usual smoke tests.
Start training a custom style/LoRA from a reference set. Returns immediately with a run ID. Poll GET /workspaces/{workspace_id}/training-runs/{training_run_id} for progress. Creative Units are reserved at submission; call the estimate endpoint first to check cost.
Authorizations
Section titled “Authorizations”Parameters
Section titled “Parameters”Path Parameters
Section titled “Path Parameters”Id of the workspace that owns the resource.
Id of the workspace that owns the resource.
Header Parameters
Section titled “Header Parameters”Opaque key making a retry of this request return the first result. A 2xx response is replayed for 24 hours with Idempotent-Replayed: true. A 4xx releases the key. A 5xx, or a request still running, holds the key for 120 seconds, during which a retry gets 409; after that a retry executes again. The key covers the method, path, query, and byte-identical body it was first used with; reusing it for a different request is rejected with 422. Protection is best effort: if the key store is unavailable, or a record is lost early, a retry can execute again even after an earlier 409. See the Idempotency section of the API description.
Request Bodyrequired
Section titled “Request Bodyrequired”object
The reference set (Style) to train a LoRA for.
Base model to train. Omit to use the reference set’s configured or workspace default model.
Training framework override. Omit for the server default.
Where to POST this request’s terminal events, and what to include with them.
object
HTTPS URL that receives a POST when this request reaches a terminal state. Must be publicly reachable; must not redirect. Acknowledge with any 2xx within 10 seconds and do the work asynchronously. Reply 410 to stop delivery permanently.
Narrows what is delivered. Omit to receive every event this request can produce, which is what expected_events on the response lists.
Opaque key/value pairs echoed back verbatim in every delivery, for correlating a callback with your own records. At most 10 keys and 1024 bytes in total.
object
Responses
Section titled “Responses”Successful Response
object
Unique identifier for this training run.
Coarse state; in_progress right after submission.
Fine-grained run status (e.g. initializing).
Base model the run trains with.
Timestamp the run was created.
Suggested polling interval in seconds.
Deliveries this run will produce. Empty when no webhook was supplied.
Example
{ "state": "in_progress", "expected_events": []}Unauthenticated — missing or invalid Bearer token.
object
Example
{ "type": "https://api.layer.ai/errors/ERROR_CODE", "title": "Error Title", "status": 400, "detail": "Human-readable description."}Forbidden — insufficient permissions, or the access token lacks the scope the operation requires.
object
Example
{ "type": "https://api.layer.ai/errors/ERROR_CODE", "title": "Error Title", "status": 400, "detail": "Human-readable description."}Resource not found.
object
Example
{ "type": "https://api.layer.ai/errors/ERROR_CODE", "title": "Error Title", "status": 400, "detail": "Human-readable description."}The outcome of the request with this Idempotency-Key is not known yet: it is still running, or it failed without a stored response. Retry after the number of seconds in Retry-After.
object
Example
{ "type": "https://api.layer.ai/errors/ERROR_CODE", "title": "Error Title", "status": 400, "detail": "Human-readable description."}Invalid input parameters, or an Idempotency-Key reused for a different request.
object
Example
{ "type": "https://api.layer.ai/errors/ERROR_CODE", "title": "Error Title", "status": 400, "detail": "Human-readable description."}Rate limited — retry after the number of seconds in Retry-After.
object
Example
{ "type": "https://api.layer.ai/errors/ERROR_CODE", "title": "Error Title", "status": 400, "detail": "Human-readable description."}Internal server error.
object
Example
{ "type": "https://api.layer.ai/errors/ERROR_CODE", "title": "Error Title", "status": 400, "detail": "Human-readable description."}