Finetune

APIs for training new model.

Create Finetune

This endpoint will start the training of a LoRA model for Flux Pro and returns its associated unique trigger word.

SecurityAPIKeyHeader

Request

Request Body schema: multipart/form-data

image_files	Array of strings <binary> (Image Files) Images to be uploaded for training.
image_urls	Array of strings (Image URLs) Default: [] Alternatively you can provide URLs of the training image files. If you upload image files, this field will be ignored.
num_iterations	string (String number of training iterations. Defaults to 1200.) Default: "1200"
option	string (Option) Default: "FluxFinetune" Training option to finetune based on your images. Available values are `FluxFinetune, FluxProFinetune, FluxKontextFinetune`.
finetune_type	string (Finetune Type) Default: "Auto" Override finetune type. Finetune type can be `CHARACTER`, `PRODUCT` or `Auto` for automatic selection.
lora_prefix	string (Lora Prefix) Default: "MYLORA" Prefix for the name of LoRA.
	Prompts (string) or Prompts (null) (Prompts) List of prompts to be used with input images.

Responses

200

Trigger word.

400

Bad Request

402

Insufficient Credit

422

Validation Error

post/finetune

Request samples

curl
JavaScript
Python
Go
Node.js

Response samples

application/json

{"data": {"id": "ASSET_ID",
"customer_id": "CUSTOMER_ID",
"primary_user_id": "CUSTOMER_ID",
"args": { },
"results": ["result_url1",
"result_url2"
],
"thumbnails": [ ],
"status": "success",
"mime_type": "MIMETYPE",
"app_name": "FUNCTION_NAME",
"created_at": "2025-05-06 16:35:59.840508+00:00",
"updated_at": "2025-05-06 16:35:59.840508+00:00",
"history": [ ]
}
}

Finetune Flux Pro/Dev

This endpoint will report the status of training LoRA models for Flux Pro. If completed, it will also return sample outputs for the LoRA.