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Stable Diffusion Sd3
by
Twin Geeks
· GitHub ↗
· v1.0.2
· MIT-0
211
Downloads
2
Stars
2
Active Installs
3
Versions
Install in OpenClaw
/install stable-diffusion-sd3
Description
Stable Diffusion 3 and SD3.5 Large on Apple Silicon — generate Stable Diffusion images locally with DiffusionKit's MLX-native backend. SD3 Medium for fast St...
Usage Guidance
This skill appears internally consistent with its goal of running Stable Diffusion locally, but before installing or running anything: (1) review the PyPI package 'ollama-herd' source and any 'uv tool' provider to ensure you trust them; (2) inspect any provided patch scripts (e.g., patch-diffusionkit-macos26.sh) before executing; (3) expect large downloads (2–8GB model weights) and significant RAM usage—run on an isolated or well-backed-up machine if concerned; (4) the router opens a local HTTP port (11435) — confirm it is bound only to localhost or properly firewalled if you do not want other LAN hosts to access it; (5) if you use private HuggingFace assets, verify whether authentication is needed and handle tokens separately; and (6) consider running installs in a virtualenv or dedicated environment to limit accidental system-wide changes.
Capability Assessment
Purpose & Capability
Name/description (local Stable Diffusion on Apple Silicon, fleet routing) align with the instructions: examples use a local router on http://localhost:11435, recommend installing ollama-herd, diffusionkit, and mflux. Declared required binaries (curl/wget, optional python3/pip) match the documented commands. The metadata's configPaths (~/.fleet-manager/...) are consistent with a fleet router but are not surprising for this purpose.
Instruction Scope
SKILL.md stays within purpose: it instructs installing a fleet router (herd/herd-node), installing backends (DiffusionKit, mflux), and calling local HTTP endpoints for image generation/monitoring. It does not ask to read unrelated user data or external secrets. Note: the instructions require downloading model weights (HuggingFace) and running install/patch scripts—these are expected for model usage but involve substantial network I/O and running third‑party code.
Install Mechanism
The skill is instruction-only (no install spec). However, the guide tells users to run pip install ollama-herd and uv tool install diffusionkit, which will fetch and execute third‑party packages/binaries at install time. This is normal for such tooling but increases the attack surface compared to a purely local-only script; users should verify the provenance of those packages and scripts.
Credentials
The skill requests no environment variables or credentials. All runtime interactions are local (localhost) or involve downloading model weights from known model hosts (HuggingFace) as part of normal operation. There are no unrelated secret requests.
Persistence & Privilege
always:false and no special privileges requested. The skill does not instruct modifying other skills or system-wide configurations beyond installing tools for the router and node components; autonomous invocation is allowed but that is the platform default.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install stable-diffusion-sd3 - After installation, invoke the skill by name or use
/stable-diffusion-sd3 - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.2
Cross-platform support: macOS, Linux, and Windows. Updated OS metadata, descriptions, and hardware recommendations.
v1.0.1
- Expanded and clarified Stable Diffusion focus throughout documentation.
- Updated wording to explicitly mention "Stable Diffusion" and related model names in all sections, including setup, usage, and parameters.
- Added Chinese and Spanish phrases in description for broader accessibility.
- No functional or code changes — documentation only update.
v1.0.0
Initial release: Stable Diffusion 3 image generation on Apple Silicon with fully local control and device fleet management.
- Supports SD3 Medium (fast) and SD3.5 Large (highest quality) with MLX-native DiffusionKit backend.
- Integrates Flux models via mflux and Ollama native image generation.
- Local fleet routing with intelligent queue management and API/web dashboard monitoring.
- No reliance on cloud APIs or external model downloads during install—everything runs and stays on your hardware.
- Simple CLI and Python API for image generation and fleet/node management.
- Additional features: shared dashboard for images and LLMs, optional STT and embeddings via unified API.
Metadata
Frequently Asked Questions
What is Stable Diffusion Sd3?
Stable Diffusion 3 and SD3.5 Large on Apple Silicon — generate Stable Diffusion images locally with DiffusionKit's MLX-native backend. SD3 Medium for fast St... It is an AI Agent Skill for Claude Code / OpenClaw, with 211 downloads so far.
How do I install Stable Diffusion Sd3?
Run "/install stable-diffusion-sd3" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Stable Diffusion Sd3 free?
Yes, Stable Diffusion Sd3 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Stable Diffusion Sd3 support?
Stable Diffusion Sd3 is cross-platform and runs anywhere OpenClaw / Claude Code is available (darwin).
Who created Stable Diffusion Sd3?
It is built and maintained by Twin Geeks (@twinsgeeks); the current version is v1.0.2.
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