Skill

gemini-image-generator

Generates images via Google Gemini's API from text prompts or reference images, with configurable output size (1K/2K/4K). Useful for creating or editing visuals directly from prompts.

Gemini

ai-ml

npx claudepluginhub stevenmays/dotfiles --plugin mays

Popularity

Stars

Forks

Invocation

How this skill is triggered — by the user, by Claude, or both

Slash command

/mays:gemini-image-generator

User invocable

Model invocable

Inline context

Default effort

Context Preview

The summary Claude sees in its skill listing — used to decide when to auto-load this skill

Use this skill to generate images using Google Gemini's image generation model. The skill supports:

Supporting Files

scripts/generate.py

SKILL.md

50 lines · ~350 tokens

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image-generator

Stats

LanguageShell

Stars12

Forks3

MaintenanceExcellent

Last CommitJun 11, 2026

Actions

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gemini-image-generator

Instructions

Use this skill to generate images using Google Gemini's image generation model. The skill supports:

Text-to-image generation from prompts

Image-to-image generation with a reference image

Multiple output sizes (1K, 2K, 4K)

Custom output paths

The API key must be set via the GEMINI_API_KEY environment variable.

Parameters

--prompt (required): The text prompt describing the image to generate

--output (required): Output file path for the generated image

--reference: Optional reference image for style/content guidance

--size: Image size - "1K", "2K", or "4K" (default: 4K)

Examples

Basic text-to-image generation

./scripts/generate.py --prompt "A serene mountain landscape at sunset" --output images/landscape.png

With reference image for style guidance

./scripts/generate.py --prompt "Same character but wearing a party hat" --reference images/character.png --output images/party.png

Different output size

./scripts/generate.py --prompt "Abstract art" --output art.png --size 2K

Setup

Set your API key:

export GEMINI_API_KEY="your-api-key-here"

Requires uv - dependencies are managed inline via PEP 723.