LoRA inference for FLUX.2 [klein] in beta via -finetuned endpoints

Run your own trained LoRAs on FLUX.2 [klein] through the BFL API. Train with the tools of your choice (AI-Toolkit, Diffusers, …), upload once in the Dashboard, then serve inference through a managed -finetuned endpoint — no GPUs to provision. This is a new self-serve path, separate from the FLUX.1-era Finetuning API deprecated in October 2025.

Key Features

• Bring your own LoRA — Upload trained LoRAs to the Dashboard, where they appear as Finetunes
• Same request shape — Each -finetuned endpoint matches its base endpoint, with two added parameters: finetune_id and finetune_strength
• Six endpoints — Covering FLUX.2 [klein] 4B, 9B, and Base variants in FP8, plus a BF16 option
• Base-endpoint pricing during beta — Fine-tuned requests are billed at the same rate as the underlying base endpoint

Endpoints

POST /v1/{base_model}-finetuned, e.g. /v1/flux-2-klein-9b-kv-finetuned

See the LoRA inference guide for the full endpoint list and a worked example.