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inference-sh-cli

Executes image, video, and text AI models via the inference.sh cloud infrastructure using the infsh CLI tool.

Updated Jun 17, 2026
Search Tags:#cli#ai#llm#image-generation#inference#video-generation
One-click install
npx skills add https://github.com/cxnaive/hermes-agent-llbot --skill inference-sh-cli-cxnaive
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: inference-sh-cli
Source: https://github.com/cxnaive/hermes-agent-llbot/tree/main/optional-skills/devops/cli
Command: npx skills add https://github.com/cxnaive/hermes-agent-llbot --skill inference-sh-cli-cxnaive

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill eliminates the need to manage individual provider APIs or complex infrastructure by providing a unified terminal interface to run over 150 AI applications, including image, video, and LLM models.

Core Features & Use Cases

  • Unified AI Execution: Run diverse models like FLUX, Veo, and Gemini through a single command-line tool.
  • Automated Media Handling: Automatically upload local files for processing and receive structured JSON outputs with media URLs.
  • Use Case: Quickly generate a high-quality video from a local image or upscale assets without needing local GPU resources or manual API integration.

Quick Start

Use the inference-sh-cli skill to generate an image of a futuristic city using the gemini-2-5-flash-image model.

Frequently Asked Questions about inference-sh-cli

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run AI image and video generation models from the command line?▼

The infsh CLI tool supports running diverse models like FLUX, Veo, and Gemini through a single command-line interface. It eliminates the need to manage individual provider APIs by routing requests through the inference.sh cloud infrastructure.

Do I need a local GPU to generate high-quality AI video from an image?▼

To start executing AI applications via CLI, you must install the infsh CLI tool and complete valid authentication to interface with cloud-hosted AI endpoints. This setup allows you to discover models and retrieve task results directly from your terminal.

Can I automate media handling and get structured outputs when running LLM tasks?▼

Yes, you can automate media handling when running LLM tasks as the CLI automatically uploads local files for processing. You receive structured JSON outputs containing media URLs, streamlining asset generation and retrieval workflows.

What is the best way to manage multiple AI provider APIs for text and image generation?▼

The best way to manage multiple AI provider APIs is using a unified terminal interface like the infsh CLI. It abstracts individual provider complexities, allowing you to run over 150 text and image generation applications through a single command-line tool.

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