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LFIT
作者
Lowwattlabs
· GitHub ↗
· v1.0.3
· MIT-0
49
总下载
1
收藏
0
当前安装
4
版本数
在 OpenClaw 中安装
/install lfit
功能描述
⚡ LFIT — Local HD image generation via stable-diffusion.cpp on Vulkan/iGPU. Free, private, on your hardware.
使用说明 (SKILL.md)
⚡ 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 \x3Clora:> 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 ⚡
安全使用建议
Install only if you are comfortable trusting the external @lowwattlabs/lfit npm package and any server/model downloads it performs. Keep the server bound to 127.0.0.1, avoid lfit-quick if you do not want prompts sent to a public cloud service, and leave Telegram credentials unset or use --no-telegram unless you want generated images sent to Telegram.
能力评估
Purpose & Capability
The stated purpose is local SDXL image generation through stable-diffusion.cpp, and the manifest/config align with a localhost image-generation provider, model directories, LoRA directories, output paths, presets, and timeouts.
Instruction Scope
The README discloses Pollinations cloud quick drafts and optional Telegram image push, but the privacy wording is overbroad because it also says no data leaves the machine; this is a clarity issue rather than hidden behavior.
Install Mechanism
Installation is a global third-party npm package and setup may download or use an sd-server binary and model assets. That is coherent for this tool, but the submitted skill artifact itself contains only documentation and metadata, not the referenced executable scripts.
Credentials
Localhost server access, GPU/model paths, and generated-output storage are proportionate to local image generation. External services are optional but would send prompts or generated images off the machine when used.
Persistence & Privilege
The skill documents a user-started daemon mode with a stop command, and the manifest has onStartup false; it does not request automatic startup, broad indexing, credential harvesting, or elevated persistence.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install lfit - 安装完成后，直接呼叫该 Skill 的名称或使用
/lfit触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.3
v1.0.3 — Added Low Watt Labs cross-links (Frisk, HOARD)
v1.0.2
v1.0.2 — Tighter stop command: uses lsof to find PID by port (won't kill other sd-server instances), pkill fallback with port-specific regex instead of broad match.
v1.0.1
v1.0.1 — Public README rewrite (removed all Jason-specific references, Node-1, UID 1000, systemd units). Removed duplicate config keys in plugin manifest (serverUrl/loraDir/outDir no longer duplicated at top-level and under image overlay).
v1.0.0
v1.0.0 — LFIT: Local Free Image Tool. Local HD image generation via stable-diffusion.cpp on Vulkan/iGPU. Three presets, LoRA self-check, server launcher, troubleshooting guide.
元数据
常见问题
LFIT 是什么？
⚡ LFIT — Local HD image generation via stable-diffusion.cpp on Vulkan/iGPU. Free, private, on your hardware. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 49 次。
如何安装 LFIT？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install lfit」即可一键安装，无需额外配置。
LFIT 是免费的吗？
是的，LFIT 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
LFIT 支持哪些平台？
LFIT 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 LFIT？
由 Lowwattlabs（@jchandler187）开发并维护，当前版本 v1.0.3。
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