inference-sh-cli

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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

AI & Automation 191,515 stars 33299 forks Updated today MIT

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Skill Content

# 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 moun...

Details

Author
NousResearch
Repository
NousResearch/hermes-agent
Created
10 months ago
Last Updated
today
Language
Python
License
MIT

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