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inference-sh-cli

Run diverse AI models through a unified command-line interface.

Updated Jun 25, 2026
Search Tags:#cli#ai#llm#image-generation#inference#video-generation
One-click install
npx skills add https://github.com/Rheasilvia/hermes-desktop --skill inference-sh-cli-rheasilvia
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: inference-sh-cli
Source: https://github.com/Rheasilvia/hermes-desktop/tree/main/optional-skills/devops/cli
Command: npx skills add https://github.com/Rheasilvia/hermes-desktop --skill inference-sh-cli-rheasilvia

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill eliminates the complexity of managing individual provider APIs and GPU infrastructure by providing a unified interface to run over 150 AI applications directly from your terminal.

Core Features & Use Cases

  • Unified AI Execution: Access image, video, and LLM generation apps through a single CLI tool.
  • Cloud-Powered: Run resource-intensive models like FLUX, Veo, or Wan without needing local GPU hardware.
  • Use Case: Quickly generate a high-quality video from a text prompt or upscale a local image by invoking the appropriate app ID via the inference.sh platform.

Quick Start

Use the inference.sh cli to search for and run the flux-dev-lora app to generate an image based on a specific prompt.

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 terminal?▼

Run diverse AI models from the terminal using a unified command-line interface that manages cloud-based inference for over 150 generative applications, abstracting API management and GPU hardware requirements.

What is the best way to execute text-to-video generation like Veo without a local GPU?▼

Execute text-to-video generation like Veo without local hardware by invoking the specific app ID via a cloud-powered CLI, which abstracts API management and hardware requirements for resource-intensive inference workflows.

Can I use a single CLI to manage multiple different LLM and image generation APIs?▼

Yes, use a single CLI to manage multiple LLM and image generation APIs; it provides a unified interface abstracting individual provider APIs while enabling structured data output for complex generative AI operations.

Do I need local GPU hardware to run resource-intensive AI models like FLUX?▼

No, you do not need local GPU hardware to run resource-intensive AI models like FLUX. The CLI facilitates cloud-based inference workflows, abstracting API management and hardware requirements for complex generative AI operations.

How do I search for and run a specific AI app like flux-dev-lora via command line?▼

Search for and run a specific AI app like flux-dev-lora by using the CLI to query the platform and invoke the appropriate app ID, enabling structured data output and task tracking for the generation.

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