LFIT

⚡ LFIT — Local HD image generation via stable-diffusion.cpp on Vulkan/iGPU. Free, private, on your hardware.

⚡ LFIT — Local Free Image Tool

Local HD image generation. Free. Private. On your hardware.

LFIT runs stable-diffusion.cpp on your Vulkan-capable GPU. No cloud API keys, no per-image fees, no data leaving your machine. Three locked presets — pick by name, get consistent results.

Quick Start

# Install
npm install -g @lowwattlabs/lfit

# Set up the server (first time only)
lfit-server setup

# Start the server
lfit-server start --daemon

# Generate
lfit --preset standard --prompt "a knight at a castle gate"
lfit --preset background --prompt "misty pine valley at dawn"
lfit --preset hero --prompt "ancient dragon, key art" --yes

Presets

Preset	Use for	Size	Time
standard	Characters, items, single subjects	1024×1024	~2m30s
background	Scenes, environments, wallpapers	1344×768	~2m30s
hero	Final/max-quality key art (no LoRA)	1024×1024	~13 MINUTES

LoRA Self-Check

The #1 failure mode: the server ignores <lora:> prompt tags. If LoRA fails silently, you get a blurry base-SDXL image. LFIT detects this two ways:

1. Small output warning — image data under 1000 bytes
2. Fast completion warning — standard/background finishing under 30 seconds means LoRA didn't apply

If you see these, check: curl -s http://127.0.0.1:7860/sdapi/v1/loras

Requirements

• Python 3.8+
• Vulkan-capable GPU (4GB VRAM min, 8GB for hero)
• sd-server binary with Vulkan support
• SDXL base 1.0 model from HuggingFace
• SDXL Lightning 8-step LoRA from HuggingFace

Pricing

Free. If it saves you time, buy us a coffee.

License

MIT-0 — Low Watt Labs ⚡