infsh-cli

# [inference.sh](https://inference.sh)

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

![[inference.sh](https://inference.sh)](https://cloud.inference.sh/app/files/u/4mg21r6ta37mpaz6ktzwtt8krr/01kgjw8atdxgkrsr8a2t5peq7b.jpeg)

## Install CLI

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

> **What does the installer do?** The [install script](https://cli.inference.sh) detects your OS and architecture, downloads the correct binary from `dist.inference.sh`, verifies its SHA-256 checksum, and places it in your PATH. That's it — no elevated permissions, no background processes, no telemetry. If you have [cosign](https://docs.sigstore.dev/cosign/system_config/installation/) installed, the installer also verifies the Sigstore signature automatically.
>
> **Manual install** (if you prefer not to pipe to sh):
> ```bash
> # Download the binary and checksums
> curl -LO https://dist.inference.sh/cli/checksums.txt
> curl -LO $(curl -fsSL https://dist.inference.sh/cli/manifest.json | grep -o '"url":"[^"]*"' | grep $(uname -s | tr A-Z a-z)-$(uname -m | sed 's/x86_64/amd64/;s/aarch64/arm64/') | head -1 | cut -d'"' -f4)
> # Verify checksum
> sha256sum -c checksums.txt --ignore-missing
> # Extract and install
> tar -xzf inferencesh-cli-*.tar.gz
> mv inferencesh-cli-* ~/.local/bin/inferencesh
> ```

## Quick Examples

```bash
# Generate an image
infsh app run falai/flux-dev-lora --input '{"prompt": "a cat astronaut"}'

# Generate a video
infsh app run google/veo-3-1-fast --input '{"prompt": "drone over mountains"}'

# Call Claude
infsh app run openrouter/claude-sonnet-45 --input '{"prompt": "Explain quantum computing"}'

# Web search
infsh app run tavily/search-assistant --input '{"query": "latest AI news"}'

# Post to Twitter
infsh app run x/post-tweet --input '{"text": "Hello from AI!"}'

# Generate 3D model
infsh app run infsh/rodin-3d-generator --input '{"prompt": "a wooden chair"}'
```

## Local File Uploads

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

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

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

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

# Post tweet with local media
infsh app run x/post-create --input '{"text": "Check this out!", "media": "./screenshot.png"}'
```

## Commands

| Task | Command |
|------|---------|
| List all apps | `infsh app list` |
| Search apps | `infsh app list --search "flux"` |
| Filter by category | `infsh app list --category image` |
| Get app details | `infsh app get google/veo-3-1-fast` |
| Generate sample input | `infsh app sample google/veo-3-1-fast --save input.json` |
| Run app | `infsh app run google/veo-3-1-fast --input input.json` |
| Run without waiting | `infsh app run <app> --input input.json --no-wait` |
| Check task status | `infsh task get <task-id>` |

## What's Available

| Category | Examples |
|----------|----------|
| **Image** | FLUX, Gemini 3 Pro, Grok Imagine, Seedream 4.5, Reve, Topaz Upscaler |
| **Video** | Veo 3.1, Seedance 1.5, Wan 2.5, OmniHuman, Fabric, HunyuanVideo Foley |
| **LLMs** | Claude Opus/Sonnet/Haiku, Gemini 3 Pro, Kimi K2, GLM-4, any OpenRouter model |
| **Search** | Tavily Search, Tavily Extract, Exa Search, Exa Answer, Exa Extract |
| **3D** | Rodin 3D Generator |
| **Twitter/X** | post-tweet, post-create, dm-send, user-follow, post-like, post-retweet |
| **Utilities** | Media merger, caption videos, image stitching, audio extraction |

## Related Skills

```bash
# Image generation (FLUX, Gemini, Grok, Seedream)
npx skills add inference-sh/skills@ai-image-generation

# Video generation (Veo, Seedance, Wan, OmniHuman)
npx skills add inference-sh/skills@ai-video-generation

# LLMs (Claude, Gemini, Kimi, GLM via OpenRouter)
npx skills add inference-sh/skills@llm-models

# Web search (Tavily, Exa)
npx skills add inference-sh/skills@web-search

# AI avatars & lipsync (OmniHuman, Fabric, PixVerse)
npx skills add inference-sh/skills@ai-avatar-video

# Twitter/X automation
npx skills add inference-sh/skills@twitter-automation

# Model-specific
npx skills add inference-sh/skills@flux-image
npx skills add inference-sh/skills@google-veo

# Utilities
npx skills add inference-sh/skills@image-upscaling
npx skills add inference-sh/skills@background-removal
```

## Reference Files

- [Authentication & Setup](references/authentication.md)
- [Discovering Apps](references/app-discovery.md)
- [Running Apps](references/running-apps.md)
- [CLI Reference](references/cli-reference.md)

## Documentation

- [Agent Skills Overview](https://inference.sh/blog/skills/skills-overview) - The open standard for AI capabilities
- [Getting Started](https://inference.sh/docs/getting-started/introduction) - Introduction to inference.sh
- [What is inference.sh?](https://inference.sh/docs/getting-started/what-is-inference) - Platform overview
- [Apps Overview](https://inference.sh/docs/apps/overview) - Understanding the app ecosystem
- [CLI Setup](https://inference.sh/docs/extend/cli-setup) - Installing the CLI
- [Workflows vs Agents](https://inference.sh/blog/concepts/workflows-vs-agents) - When to use each
- [Why Agent Runtimes Matter](https://inference.sh/blog/agent-runtime/why-runtimes-matter) - Runtime benefits