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lihai2582424632-droid

aenerate

by lihai2582424632-droid · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install jiade
Description
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...
README (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

Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install jiade
  3. After installation, invoke the skill by name or use /jiade
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
- Added _meta.json file for metadata management. - No changes to existing functionality or documentation.
Metadata
Slug jiade
Version 1.0.1
License MIT-0
All-time Installs 1
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is aenerate?

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... It is an AI Agent Skill for Claude Code / OpenClaw, with 300 downloads so far.

How do I install aenerate?

Run "/install jiade" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is aenerate free?

Yes, aenerate is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does aenerate support?

aenerate is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created aenerate?

It is built and maintained by lihai2582424632-droid (@lihai2582424632-droid); the current version is v1.0.1.

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