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gemini-imagegen

Generate and edit images via the Gemini API with JPEG or PNG outputs.

12|2|Updated Jan 27, 2026
Search Tags:#gemini#image-generation#generate#multi-turn#image-editing#style-transfer#product-mockup
One-click install
npx skills add https://github.com/jikig-ai/soleur --skill gemini-imagegen-jikig-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gemini-imagegen
Source: https://github.com/jikig-ai/soleur/tree/main/plugins/soleur/skills/gemini-imagegen
Command: npx skills add https://github.com/jikig-ai/soleur --skill gemini-imagegen-jikig-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires google-genai, Pillow, and includes scripts (resource) components.

What problem does it solve?

Programmatic image generation and editing can be fragmented and error-prone when dealing with API quotas, model choices, file formats, and iterative refinements. This Skill centralizes generation, editing, composition, and multi-turn refinement workflows against Google's Gemini API while providing quota checks, error handling, and format guidance to ensure reliable outputs.

Core Features & Use Cases

  • Text-to-Image Generation: Create photorealistic or stylized images from prompts with configurable aspect ratio and resolution.
  • Image Editing & Multi-Turn Refinement: Edit existing images conversationally and refine outputs across interactive chat sessions.
  • Composition & Style Transfer: Combine up to 14 reference images for composite scenes or transfer artistic styles between images, ideal for product mockups, logos, stickers, and marketing assets.
  • Robustness: Includes quota checking, explicit error mapping for common API failures, and guidance to save Gemini JPEG outputs correctly or convert to PNG when required.

Quick Start

Generate a 1K square product mockup of a red sneaker and save the result as output.jpg using the gemini-imagegen scripts.

Frequently Asked Questions about gemini-imagegen

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate and iteratively refine images using the Gemini API?▼

To generate and iteratively refine images with the Gemini API, you can use multi-turn conversational editing to apply text-to-image generation and modify outputs interactively across chat sessions.

Can I combine multiple reference images for style transfer and product mockups with Gemini?▼

Yes, you can combine up to 14 reference images for composite scenes, style transfer, product mockups, and logo design using the Gemini API to produce cohesive visual assets.

Do I need a specific API key and Python libraries to run Gemini image generation scripts?▼

Yes, you need a GEMINI_API_KEY along with the google-genai and Pillow Python libraries to execute image generation scripts, handle quota verification, and manage API error mapping.

Why does my Gemini API image generation fail during multi-turn editing?▼

Gemini API image generation may fail due to exceeded API quotas or unmapped errors; this workflow includes quota checking and explicit error mapping for common failures to ensure reliable outputs.

What is the default file format for Gemini image outputs and can I convert them?▼

Gemini image outputs default to JPEG format, but you can explicitly convert them to PNG when needed using the Pillow library to ensure correct format handling for your visual assets.

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