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lihai2582424632-droid

aenerate

作者 lihai2582424632-droid · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ⚠ suspicious
300
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0
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0
当前安装
1
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在 OpenClaw 中安装
/install jiade
功能描述
Generate images with FLUX models (Black Forest Labs) via inference.sh CLI. Models: FLUX Dev LoRA, FLUX.2 Klein LoRA with custom style adaptation. Capabilitie...
使用说明 (SKILL.md)

FLUX Image Generation

Generate images with FLUX models via inference.sh CLI.

FLUX Image Generation

Quick Start

curl -fsSL https://cli.inference.sh | sh && infsh login

infsh app run falai/flux-dev-lora --input '{"prompt": "a futuristic city at night"}'

Install note: The install script only detects your OS/architecture, downloads the matching binary from dist.inference.sh, and verifies its SHA-256 checksum. No elevated permissions or background processes. Manual install & verification available.

FLUX Models

Model App ID Speed Quality Use Case
FLUX Dev LoRA falai/flux-dev-lora Medium Highest Production, custom styles
FLUX.2 Klein LoRA falai/flux-2-klein-lora Fastest Good Fast iteration, 4B/9B sizes

Examples

High-Quality Generation

infsh app run falai/flux-dev-lora --input '{
  "prompt": "professional product photo of headphones, studio lighting, white background"
}'

Fast Generation (Klein)

infsh app run falai/flux-2-klein-lora --input '{"prompt": "abstract art, colorful"}'

With LoRA Custom Styles

infsh app sample falai/flux-dev-lora --save input.json

# Edit to add lora_url for custom style
infsh app run falai/flux-dev-lora --input input.json

Image-to-Image

infsh app run falai/flux-dev-lora --input '{
  "prompt": "transform to watercolor style",
  "image_url": "https://your-image.jpg"
}'

For Other Image Tasks

# Image editing with natural language
infsh app run falai/reve --input '{"prompt": "change background to beach"}'

# Upscaling
infsh app run falai/topaz-image-upscaler --input '{"image_url": "https://..."}'

Related Skills

# Full platform skill (all 150+ apps)
npx skills add inference-sh/skills@inference-sh

# All image generation models
npx skills add inference-sh/skills@ai-image-generation

# Upscaling
npx skills add inference-sh/skills@image-upscaling

Browse all apps: infsh app list

Documentation

安全使用建议
This skill appears to do what it says (use the inference.sh CLI to run FLUX models), but exercise caution before running the installer command exactly as written. Recommended steps: - Do not run 'curl | sh' blindly. Instead download the installer script (https://cli.inference.sh) and read it before executing, or fetch the specific binary from dist.inference.sh and verify the checksum yourself using the published checksums file. - Be aware that using the CLI and running apps sends your prompts and any image URLs or uploaded images to the inference.sh service — treat sensitive images or prompts accordingly. - Expect an interactive 'infsh login' that will create/save an auth token locally; confirm where tokens/config are stored and consider using a throwaway account or isolated environment if you are unsure. - If you need stronger assurance, ask the skill author for a reproducible install method (GitHub release or package registry link) or for explicit instructions that show the checksum verification steps performed client-side. - If you cannot inspect the installer or verify its checksums, consider running it in a sandboxed VM or container rather than on a sensitive workstation.
功能分析
Type: OpenClaw Skill Name: jiade Version: 1.0.1 The skill bundle (SKILL.md) instructs the AI agent to install a third-party CLI tool using a high-risk 'curl | sh' command from 'https://cli.inference.sh' and perform a login operation. While these actions are consistent with the stated goal of image generation via the inference.sh platform, the use of unvetted remote script execution and credential management within an autonomous agent environment poses significant security risks, including remote code execution and potential secret exposure.
能力评估
Purpose & Capability
The name/description promise (image generation with FLUX via the inference.sh CLI) aligns with the SKILL.md examples and commands (infsh app run, sample, image-to-image, LoRA usage). Nothing in the instructions asks for unrelated cloud credentials or unrelated system access.
Instruction Scope
Instructions are focused on installing the infsh CLI and calling infsh to run apps. They do not ask the agent to read arbitrary local files or credentials, but they do instruct installing and logging into a remote service and sending prompts/images (image URLs) to the inference.sh platform — which means your prompts/images will be transmitted to that external service. The doc calls out an interactive 'infsh login' step but the skill metadata does not declare any required credentials or tokens.
Install Mechanism
There is no formal install spec in the registry, but SKILL.md instructs running a remote install bootstrapper via 'curl -fsSL https://cli.inference.sh | sh'. Piping a remote script to sh is a high-risk install pattern even if the script later verifies checksums; the installer and downloaded binaries originate from cli.inference.sh / dist.inference.sh (not a well-known package host like GitHub Releases in this context). The README claims SHA-256 verification and a checksums file, but the bootstrap pattern still requires the user to trust the remote script and hosting.
Credentials
The skill declares no required environment variables or primary credential, which is consistent with the registry metadata. However the instructions call out 'infsh login' (interactive auth) and using remote apps, implying credentials or an account will be used/stored by the CLI. The lack of declared credential requirements is a transparency gap but not necessarily malicious.
Persistence & Privilege
The skill is not always-enabled and does not request special platform privileges. The installer will create a local binary (infsh) and the login step will likely store an auth token/config in the user's home directory — normal for a CLI but worth noting because it persists credentials locally.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install jiade
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /jiade 触发
  4. 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
v1.0.1
- Added _meta.json file for metadata management. - No changes to existing functionality or documentation.
元数据
Slug jiade
版本 1.0.1
许可证 MIT-0
累计安装 1
当前安装数 0
历史版本数 1
常见问题

aenerate 是什么?

Generate images with FLUX models (Black Forest Labs) via inference.sh CLI. Models: FLUX Dev LoRA, FLUX.2 Klein LoRA with custom style adaptation. Capabilitie... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 300 次。

如何安装 aenerate?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install jiade」即可一键安装,无需额外配置。

aenerate 是免费的吗?

是的,aenerate 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

aenerate 支持哪些平台?

aenerate 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 aenerate?

由 lihai2582424632-droid(@lihai2582424632-droid)开发并维护,当前版本 v1.0.1。

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