⚡ 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:
- Small output warning — image data under 1000 bytes
- 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 ⚡