ComfyUI 多重扩散放大
v1.0.0ComfyUI 多重扩散放大自动化工具。当用户想要放大 AI 生成的图片、处理高清图像、放大小图、提高图片分辨率时使用。支持文生图和图生图两种基础工作流，自动执行三重放大（潜空间放大→区块放大→模型放大）。使用场景包括：(1) 将低分辨率 AI 绘画放大到 4K/8K (2) 增强图片细节和清晰度 (3) Com...
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description (ComfyUI upscaler) match the included artifacts: SKILL.md describes generating/importing a ComfyUI workflow and the scripts check for ComfyUI and emit a JSON workflow. Required functionality (model paths, upscaler names, tile sizes) is consistent with an upscaling workflow.
Instruction Scope
SKILL.md instructs the agent/user to run local Python scripts under the skill directory and to load the produced JSON into ComfyUI. The scripts only inspect local filesystem paths (common ComfyUI locations, custom_nodes, models directories), check Python dependencies, and write a JSON workflow. They do not access unrelated system files, network endpoints, or environment variables.
Install Mechanism
No install spec is present. This is instruction-only with two small helper scripts. Nothing is downloaded or executed from arbitrary URLs and nothing is written outside the created output JSON and normal skill directory.
Credentials
The skill requests no environment variables or credentials. The scripts suggest Python packages (torch, numpy, PIL) that are reasonable for local image/model work. Model download recommendations appear in docs but are not automated and reference public model hubs.
Persistence & Privilege
Flags are default (always: false). The skill does not modify other skills or system-wide configs. It reads/writes only within the skill folder and any output directories the user specifies.
Assessment
This skill appears coherent and low-risk for its stated purpose. Before installing or running it: 1) Ensure you have ComfyUI installed in one of the checked locations or pass correct paths; the scripts only detect common install locations. 2) The helper scripts will create the output JSON (and its parent dirs) and check for local Python packages — they will not auto-download models but the docs recommend model sources (HuggingFace/CivitAI); only download models from sources you trust and respect licensing. 3) You will need substantial GPU/VRAM and disk space for large models; adjust tile_size and settings if you get OOMs. 4) No credentials are requested and no network exfiltration is present, but always inspect third-party models before use. If you want extra assurance, review the two included scripts yourself (they are small and readable) or run them in a controlled environment.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.