inference-sh-cli ناجح

Run 150+ AI apps via inference.sh CLI (infsh) — image generation, video creation, LLMs, search, 3D, social automation. Uses the terminal tool. Triggers: inference.sh, infsh, ai apps, flux, veo, image generation, video generation, seedream, seedance, tavily

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// تثبيت المهارة

تثبيت المهارة

المهارات هي كود تابع لأطراف ثالثة من مستودعات GitHub العامة. يفحص SkillHub الأنماط الخبيثة المعروفة، لكنه لا يستطيع ضمان السلامة. راجع الكود المصدري قبل التثبيت.

تثبيت عام (على مستوى المستخدم):

npx skillhub install NousResearch/hermes-agent/inference-sh-cli

تثبيت في المشروع الحالي:

npx skillhub install NousResearch/hermes-agent/inference-sh-cli --project

المسار المقترح: ~/.claude/skills/inference-sh-cli/

مراجعة الذكاء الاصطناعي

78
من ١٠٠
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دقة الوصف82
الفائدة72
السلامة التقنية78
تمت المراجعة بواسطة claude-code في 29‏/4‏/2026

المراجعة مبنية على إصدار سابق

محتوى SKILL.md

---
name: inference-sh-cli
description: "Run 150+ AI apps via inference.sh CLI (infsh) — image generation, video creation, LLMs, search, 3D, social automation. Uses the terminal tool. Triggers: inference.sh, infsh, ai apps, flux, veo, image generation, video generation, seedream, seedance, tavily"
version: 1.0.0
author: okaris
license: MIT
platforms: [linux, macos, windows]
metadata:
  hermes:
    tags: [AI, image-generation, video, LLM, search, inference, FLUX, Veo, Claude]
    related_skills: []
---

# inference.sh CLI

Run 150+ AI apps in the cloud with a simple CLI. No GPU required.

All commands use the **terminal tool** to run `infsh` commands.

## When to Use

- User asks to generate images (FLUX, Reve, Seedream, Grok, Gemini image)
- User asks to generate video (Veo, Wan, Seedance, OmniHuman)
- User asks about inference.sh or infsh
- User wants to run AI apps without managing individual provider APIs
- User asks for AI-powered search (Tavily, Exa)
- User needs avatar/lipsync generation

## Prerequisites

The `infsh` CLI must be installed and authenticated. Check with:

```bash
infsh me
```

If not installed:

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

See `references/authentication.md` for full setup details.

## Workflow

### 1. Always Search First

Never guess app names — always search to find the correct app ID:

```bash
infsh app list --search flux
infsh app list --search video
infsh app list --search image
```

### 2. Run an App

Use the exact app ID from the search results. Always use `--json` for machine-readable output:

```bash
infsh app run <app-id> --input '{"prompt": "your prompt here"}' --json
```

### 3. Parse the Output

The JSON output contains URLs to generated media. Present these to the user with `MEDIA:<url>` for inline display.

## Common Commands

### Image Generation

```bash
# Search for image apps
infsh app list --search image

# FLUX Dev with LoRA
infsh app run falai/flux-dev-lora --input '{"prompt": "sunset over mountains", "num_images": 1}' --json

# Gemini image generation
infsh app run google/gemini-2-5-flash-image --input '{"prompt": "futuristic city", "num_images": 1}' --json

# Seedream (ByteDance)
infsh app run bytedance/seedream-5-lite --input '{"prompt": "nature scene"}' --json

# Grok Imagine (xAI)
infsh app run xai/grok-imagine-image --input '{"prompt": "abstract art"}' --json
```

### Video Generation

```bash
# Search for video apps
infsh app list --search video

# Veo 3.1 (Google)
infsh app run google/veo-3-1-fast --input '{"prompt": "drone shot of coastline"}' --json

# Seedance (ByteDance)
infsh app run bytedance/seedance-1-5-pro --input '{"prompt": "dancing figure", "resolution": "1080p"}' --json

# Wan 2.5
infsh app run falai/wan-2-5 --input '{"prompt": "person walking through city"}' --json
```

### Local File Uploads

The CLI automatically uploads local files when you provide a path:

```bash
# Upscale a local image
infsh app run falai/topaz-image-upscaler --input '{"image": "/path/to/photo.jpg", "upscale_factor": 2}' --json

# Image-to-video from local file
infsh app run falai/wan-2-5-i2v --input '{"image": "/path/to/image.png", "prompt": "make it move"}' --json

# Avatar with audio
infsh app run bytedance/omnihuman-1-5 --input '{"audio": "/path/to/audio.mp3", "image": "/path/to/face.jpg"}' --json
```

### Search & Research

```bash
infsh app list --search search
infsh app run tavily/tavily-search --input '{"query": "latest AI news"}' --json
infsh app run exa/exa-search --input '{"query": "machine learning papers"}' --json
```

### Other Categories

```bash
# 3D generation
infsh app list --search 3d

# Audio / TTS
infsh app list --search tts

# Twitter/X automation
infsh app list --search twitter
```

## Pitfalls

1. **Never guess app IDs** — always run `infsh app list --search <term>` first. App IDs change and new apps are added frequently.
2. **Always use `--json`** — raw output is hard to parse. The `--json` flag gives structured output with URLs.
3. **Check authentication** — if commands fail with auth errors, run `infsh login` or verify `INFSH_API_KEY` is set.
4. **Long-running apps** — video generation can take 30-120 seconds. The terminal tool timeout should be sufficient, but warn the user it may take a moment.
5. **Input format** — the `--input` flag takes a JSON string. Make sure to properly escape quotes.

## Reference Docs

- `references/authentication.md` — Setup, login, API keys
- `references/app-discovery.md` — Searching and browsing the app catalog
- `references/running-apps.md` — Running apps, input formats, output handling
- `references/cli-reference.md` — Complete CLI command reference