Start training from a version
POST
/v1/projects/{projectId}/versions/{versionNumber}/trainingscurl -X POST 'https://api.embodiflow.io/v1/projects/{projectId}/versions/{versionNumber}/trainings' \
-H 'Authorization: Bearer $EMBODIFLOW_PAT' \
-H 'Content-Type: application/json' \
-d '{
"policy": "act",
"computeFlavor": "string",
"trainingSteps": 0,
"preset": "quick",
"advanced": {
"hyperparameters": {},
"baseModelId": "00000000-0000-0000-0000-000000000000",
"seed": 0,
"imageRevisionId": "00000000-0000-0000-0000-000000000000",
"coTrainVersion": "00000000-0000-0000-0000-000000000000"
}
}'认证
每个请求都需要携带个人访问令牌（PAT）。
- Authorization: Bearer PAT
路径参数
- projectIdstring必填
- versionNumbernumber必填
请求头参数
- Idempotency-Keystring
Optional idempotency key, at most 255 characters (UUIDv4 recommended). A repeated key returns the first response byte-for-byte, including a 5xx. The same key with a different body, or a second in-flight request, returns 409 IDEMPOTENCY_CONFLICT. Keys are unique per tenant and retained for 24 hours.
请求体
Content-Typeapplication/json
- policystring必填可选值actdiffusionsmolvlapi0_lorapi05_loragrootwall_oss
- computeFlavorstring必填
- trainingStepsnumber
- presetstring可选值quickstandardlong
- advancedobject
- hyperparametersobject
- baseModelIdstring (uuid)
- seednumber
- imageRevisionIdstring (uuid)
- coTrainVersionstring (uuid)
响应
Success
- dataobject必填
- modelIdstring必填
- trainingJobIdstring必填
- statestring必填
响应示例
{
"data": {
"modelId": "string",
"trainingJobId": "string",
"state": "string"
}
}服务器https://api.embodiflow.io/v1https://api.embodiflow.dev/v1