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Stable Diffusion
by
zhangifonly
· GitHub ↗
· v1.0.0
· MIT-0
652
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0
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1
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1
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Install in OpenClaw
/install stable-diffusion
Description
Stable Diffusion AI 绘画助手，精通 SD WebUI、ComfyUI、提示词工程、LoRA 训练
Usage Guidance
This skill is coherent and instruction-only, but consider the following before using it: 1) The SKILL.md assumes you will run git/pip/python and will clone and install third-party repositories — verify those upstream projects (check their GitHub pages, issues, and recent commits) before running install commands. 2) Training/installation can download and execute code and is resource-intensive; run in an isolated environment (VM/container) if you are concerned. 3) Be careful about dataset licensing and copyright when training LoRA models. 4) The skill does not request secrets, but any commands it suggests (e.g., cloud upload, AutoDL/RunPod) could prompt you to provide credentials later — supply those only to trusted services. 5) If you want stricter control, copy the instructions and run them manually rather than letting an agent execute them autonomously.
Capability Analysis
Type: OpenClaw Skill
Name: stable-diffusion
Version: 1.0.0
The skill bundle provides educational content and configuration guidance for Stable Diffusion, including model comparisons, prompt engineering, and installation steps for SD WebUI and ComfyUI. All commands and links (e.g., to AUTOMATIC1111 and ComfyUI GitHub repositories) are standard for the domain and align with the stated purpose in SKILL.md.
Capability Assessment
Purpose & Capability
The name/description (Stable Diffusion helper: SD WebUI, ComfyUI, prompts, LoRA training) matches the SKILL.md content. Minor inconsistency: the skill does not declare required binaries, but the instructions assume common tools (git, pip, python, shell) and some training tools (accelerate/kohya_ss). This is expected for the purpose but the missing declared 'required binaries' is a small documentation gap.
Instruction Scope
SKILL.md stays within the stated domain: installation hints for SD WebUI and ComfyUI, prompt engineering guidance, sampler/parameter recommendations, and LoRA training notes. It does instruct the user to clone repos and run pip installs and training commands (which will access network and local datasets), but it does not instruct reading unrelated system files, exfiltrating secrets, or contacting unexpected external endpoints.
Install Mechanism
There is no formal install spec (instruction-only), so nothing will be written automatically by the platform. The instructions recommend cloning well-known GitHub repos (AUTOMATIC1111, ComfyUI) and running pip installs; those are typical for this domain but do involve fetching and executing third-party code. The referenced repos are widely used in the community, but following them will pull upstream code.
Credentials
The skill requests no environment variables, credentials, or config paths. This is proportionate: the guidance covers local installation and training which normally do not require platform secrets. Training will require user datasets and local resources, which is expected.
Persistence & Privilege
always is false and there is no install-time persistence. The skill can be invoked (and by default the agent can call it autonomously), which is the platform default; this is not a problem here because the skill does not request additional privileges or credentials.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install stable-diffusion - After installation, invoke the skill by name or use
/stable-diffusion - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Stable Diffusion v1.0.0
- Initial release of Stable Diffusion AI 绘画助手.
- Provides expert guidance on SD WebUI, ComfyUI, prompt engineering, and LoRA training.
- Covers model versions, installation instructions, prompt structure, sampler and parameter selection, LoRA/ControlNet usage, and hardware recommendations.
- Documentation is available in Chinese, and includes practical examples and tips for users of all levels.
Metadata
Frequently Asked Questions
What is Stable Diffusion?
Stable Diffusion AI 绘画助手，精通 SD WebUI、ComfyUI、提示词工程、LoRA 训练. It is an AI Agent Skill for Claude Code / OpenClaw, with 652 downloads so far.
How do I install Stable Diffusion?
Run "/install stable-diffusion" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Stable Diffusion free?
Yes, Stable Diffusion is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Stable Diffusion support?
Stable Diffusion is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Stable Diffusion?
It is built and maintained by zhangifonly (@zhangifonly); the current version is v1.0.0.
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