Toshiba AC Wall Unit β€” Flux 2 Klein 9B LoRA (v7)

A LoRA fine-tuned on FLUX.2-klein-base-9B to generate consistent commercial product renders of a Toshiba wall-mounted air conditioning unit.

Usage

Trigger word: uctosh_1hvac

Base model: black-forest-labs/FLUX.2-klein-base-9B (must use Klein 9B, not Dev or Schnell)

Recommended LoRA strength: 0.5–0.75 (start at 0.65)

Prompt examples

Product render:

uctosh_1hvac, a wall-mounted climate unit, louvres closed, front view, product render on white background

Lifestyle scene:

uctosh_1hvac, a wall-mounted climate unit, louvres open, mounted high on a white wall in a modern living room, soft natural daylight

Add no text, no logos, no branding to suppress text artifacts.

Training Details

Parameter Value
Base Model FLUX.2-klein-base-9B
Text Encoder Qwen3 8B (quantized)
Rank 128
Alpha 128
Steps 2000 (checkpoint at 1500 selected)
Learning Rate 9.5e-5
Optimizer AdamW8bit
Dataset 56 images (50 angles + 6 close-ups)
Caption Strategy Exclusion principle β€” minimal captions
Toolkit Ostris AI Toolkit
GPU NVIDIA L40S 48GB

Checkpoint

This is the step 1500 checkpoint β€” selected as the optimal balance of quality vs overfitting. Steps beyond 1750 showed overfitting (texture bleeding into scene objects).

fal.ai Inference

Use endpoint: fal-ai/flux-2/klein/9b/base/lora

LoRA URL: https://huggingface.co/IanHancock/uctosh-1hvac-flux2-klein-9b-lora-v7/resolve/main/toshiba_ac_v7_000001500.safetensors

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