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Choosing and running AI models on Replicate v1.0.0

Use this resource to compare and run AI models through Replicate's API

New

  • 340 downloads
  • 118 likes
  • 170 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install replicate-model-runner

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent finds AI models on Replicate, compares them and runs them through the API. You get a model call ready to plug into an image, audio or video pipeline. The full workflow is in the original repository.

Mostly picked by

Updated November 2, 2026

Card for the “Choosing and running AI models on Replicate” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
Apache-2.0

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What you get

  • SKILL.md: model search, comparison and calls
  • SKILL.md: plugging models into a pipeline

Good fit for

  • You switch generation models often
  • You want to compare two video models before choosing

Not for

    Tags

    • replicate
    • api
    • models
    • pipeline

    About

    You say

    “Compare two image generation models on Replicate and run the faster one.”

    Card for the “Choosing and running AI models on Replicate” skill

    Skill published by nexu-io under the Apache-2.0 license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to compare and run AI models through Replicate's API
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE11 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md1.2 KB

    Origin and licence

    Listed unmodified

    Author
    nexu-io
    Source
    github.com/nexu-io/open-design/tree/c6bb5a8b8190e17b7e9c546c731814ffe10d4f67/skills/replicate
    Licence
    Apache-2.0

    Notice

    « replicate » (nexu-io, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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