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Visual Muse

v1.4.0

ComfyUI 图像生成工坊 — 用自然语言描述需求,自动生成高质量 AI 图片。支持 SDXL/Flux 多模型、风格模板自动匹配、批量生成、质量评分。说「画一张图」即可触发。

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for baobaodawang-creater/visual-muse.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Visual Muse" (baobaodawang-creater/visual-muse) from ClawHub.
Skill page: https://clawhub.ai/baobaodawang-creater/visual-muse
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Required env vars: COMFYUI_API_URL
Required binaries: python3, curl
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install visual-muse

ClawHub CLI

Package manager switcher

npx clawhub@latest install visual-muse
Security Scan
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OpenClawOpenClaw
Suspicious
medium confidence
!
Purpose & Capability
The declared purpose (local ComfyUI image generation) matches the included files and scripts (ComfyUI client, workflow templates, prompt agents). However some files hardcode host.docker.internal:8188 rather than consistently using the declared COMFYUI_API_URL primary env var, and helper scripts (switch-painter-model.sh) call docker exec on openclaw-gateway which touches other platform components—these behaviors go beyond a simple local renderer and are not fully justified by the skill description.
!
Instruction Scope
Runtime instructions and included scripts perform many privileged actions: cloning repositories, pip installing PyTorch and dependencies, downloading large model files, copying tools into the OpenClaw workspace, and running docker exec / docker restart on openclaw-gateway. SKILL.md and SOUL.md also contain prohibitions (e.g., '禁止修改 workspace') that conflict with the setup script which writes to the workspace, indicating internal inconsistency in what the agent is allowed to do.
Install Mechanism
There is no formal install spec but a comprehensive setup.sh is included which clones GitHub repos and downloads models from HuggingFace (and mirrored hosts). Hosts are recognizable (github.com, huggingface.co, hf-mirror.com, ghfast.top) so not obviously malicious, but the script triggers heavy network activity and large downloads and installs (torch, requirements) without further sandboxing—this is expected for a local ComfyUI installer but high-impact.
Credentials
The skill declares a single required env var (COMFYUI_API_URL), which is appropriate. However several scripts ignore that env var and hardcode http://host.docker.internal:8188; other parts expect particular filesystem layout (/home/node/.openclaw, ~/ai-studio) and Docker containers (openclaw-gateway). The skill does not request API keys, but it references external LLM aggregator services (ofox.ai) and a Telegram bot—these references imply external network interactions though no credentials are requested.
!
Persistence & Privilege
always:false (good). Nevertheless the included scripts perform persistent changes: copying tools/workflows into the agent's workspace, creating start scripts, downloading models, and scripts that invoke docker exec/docker restart on openclaw-gateway (which can alter running gateway/container state). Modifying other platform components (openclaw-gateway) is significant and not limited solely to the skill's own files.
What to consider before installing
This skill is plausible for local ComfyUI-based image generation, but review and take precautions before running its setup scripts: - Inspect scripts (setup.sh, paint-dispatch.sh, quick-generate.sh, switch-painter-model.sh) line-by-line. They will clone repos, pip install torch and other packages, and download multi-gigabyte model files. - Note that some scripts hardcode http://host.docker.internal:8188 instead of using COMFYUI_API_URL; if your ComfyUI runs elsewhere update those invocations first. - The setup and helper scripts copy files into ~/.openclaw/workspace and create ~/ai-studio, and switch-painter-model.sh runs docker exec / docker restart on the openclaw-gateway container—only run these if you trust the environment and have backups (or run in an isolated VM/container). - The skill references external hosts (GitHub, HuggingFace and mirrors, ghfast.top, hf-mirror.com, ofox.ai, a Telegram bot). Expect network traffic to those endpoints when installing or when invoking model-switching features. - If you only want the prompt-generation/runtime behavior, avoid running the full setup; instead run the specific scripts you reviewed or adapt the Python tools to point to your existing ComfyUI instance. - If unsure, run the installer in a disposable VM/container, or manually perform the steps after verifying each remote URL and command. Do not provide unrelated credentials—no extra API keys are required by the skill itself, but gateway/container operations may rely on credentials held by your system.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

🎨 Clawdis
Binspython3, curl
EnvCOMFYUI_API_URL
Primary envCOMFYUI_API_URL
latestvk975gwpvya0089tvbyra484aeh839p75
256downloads
0stars
5versions
Updated 22h ago
v1.4.0
MIT-0

Visual Muse — AI 视觉缪斯

通过自然语言对话生成 AI 图片的完整技能包。

它能做什么

  • 你说中文需求 → 自动生成英文 prompt → 调用本地 ComfyUI → 出图
  • 自动匹配风格模板(电影感/动漫/写实/概念艺术/水彩)
  • 支持批量生成 + 质量评分 + 迭代优化
  • 记录你的审美偏好,越用越懂你

前置条件

  1. macOS(Apple Silicon)或 Linux + NVIDIA GPU
  2. ComfyUI 已安装并运行(API 端口 8188)
  3. 至少一个 SDXL checkpoint 模型

快速开始

安装后执行 setup 脚本:

bash ~/.openclaw/workspace/skills/creative-workshop/scripts/setup.sh

它会检查 ComfyUI 是否安装、模型是否就位,并引导你完成配置。

使用方式

直接对 OpenClaw 说:

  • "画一张赛博朋克猫在雨夜街道"
  • "动漫风格,女孩在樱花树下"
  • "写实照片,城市天际线黄昏"
  • "出4张不同风格的猫"

包含的子技能

技能功能
prompt-agent中文→英文prompt,自动匹配风格模板
workflow-agent选择模型和参数,组装 ComfyUI 工作流
render-agent调用 ComfyUI API 执行生成
critic-agent多维评分 + 问题诊断 + 改进建议
memory-agent记录审美偏好,越用越准

支持的模型

开箱即用支持任何 SDXL checkpoint,推荐:

  • DreamShaper XL(万能型)
  • Juggernaut XL(电影写实)
  • Animagine XL(动漫)

配置

环境变量 COMFYUI_API_URL 默认值 http://host.docker.internal:8188(Docker 环境)或 http://127.0.0.1:8188(本地环境)。

图片输出位置

生成的图片保存在 ComfyUI 的 output 目录下的 creative_workshop/ 子文件夹。

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