Inference Sh Cli

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:

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:

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

# 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

# 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:

# 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

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

# 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