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Generating fast images with Flux 2 Klein v1.0.0

Use this resource to generate fast images with Flux 2 Klein

New

  • 531 downloads
  • 235 likes
  • 134 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install flux-2-klein-image

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 sets the step count depending on whether you iterate or finalize, picks the 9B or 4B variant, then runs the generation. It applies the model's documented prompts and gives you the runcomfy run command.

Mostly picked by

Updated November 2, 2026

Card for the “Generating fast images with Flux 2 Klein” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: choice between the 9B and 4B variants and step strategy
  • SKILL.md: reference images, prompt examples and limits

Good fit for

  • You want to test several visual ideas quickly
  • You want to keep a brand style from reference images

Not for

    Tags

    • flux 2 klein
    • ai image
    • fast iteration
    • brand reference
    • runcomfy

    About

    You say

    “Create ten quick variants of this bottle on a light background, in the brand's style.”

    Card for the “Generating fast images with Flux 2 Klein” skill

    Skill published by doany-ai under the MIT 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 generate fast images with Flux 2 Klein
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.4 KB
    • SKILL.md11.6 KB

    Origin and licence

    Listed unmodified

    Author
    doany-ai
    Source
    github.com/doany-ai/skills/tree/bab3a2415e0f784eb3a454d9b3bce848626fbf4b/flux-2-klein
    Licence
    MIT

    Notice

    « flux-2-klein » (doany-ai, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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