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Generate images with fal.ai: FLUX, SDXL, LoRA v1.0.0

Use this resource to generate images from a prompt with fal.ai models

New

  • 521 downloads
  • 157 likes
  • 154 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install fal-text-to-image-models

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 picks the text-to-image model, sets the size, guidance, step count and seed, then writes the prompt. You get reproducible images that fit the need.

Mostly picked by

Updated November 2, 2026

Card for the “Generate images with fal.ai: FLUX, SDXL, LoRA” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: FLUX, SDXL and specialist models with their endpoints
  • SKILL.md: preset sizes, guidance, steps, seeds and LoRA application

Good fit for

  • You generate visuals in batches from prompts
  • You need a model that can render text inside the image

Not for

    Tags

    • fal.ai
    • text to image
    • flux
    • sdxl
    • image generation

    About

    You say

    “Generate five square FLUX visuals with the same seed to compare styles.”

    Card for the “Generate images with fal.ai: FLUX, SDXL, LoRA” skill

    Skill published by josiahsiegel 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 images from a prompt with fal.ai models
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md13.3 KB

    Origin and licence

    Listed unmodified

    Author
    josiahsiegel
    Source
    github.com/josiahsiegel/claude-plugin-marketplace/tree/5a1b1123b9e50aa9a66a61005ca6fe012cc7442d/plugins/fal-ai-master/skills/fal-text-to-image
    Licence
    MIT

    Notice

    « fal-text-to-image » (josiahsiegel, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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