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baoyu-imagine

Generate images via multiple AI APIs with batch processing modes.

Updated Apr 28, 2026
Search Tags:#AI image generation#batch processing#text-to-image#reference image#multi-API
One-click install
npx skills add https://github.com/lucasFR2/LogiSync --skill baoyu-imagine-lucasfr2
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: baoyu-imagine
Source: https://github.com/lucasFR2/LogiSync/tree/main/skills/baoyu-imagine
Command: npx skills add https://github.com/lucasFR2/LogiSync --skill baoyu-imagine-lucasfr2

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires bun, npx, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill allows users to generate images using various AI APIs and provides batch processing capabilities, making it easier to create and manage multiple images efficiently.

Core Features & Use Cases

  • Multi-API Image Generation: Utilizes OpenAI GPT Image 2, Azure OpenAI, Google, OpenRouter, DashScope, Z.AI GLM-Image, MiniMax, Jimeng, Seedream, and Replicate APIs.
  • Batch Generation: Supports batch processing of image generation for increased throughput.
  • Sequential vs. Parallel: Offers sequential and parallel generation modes based on user preferences.
  • Use Case: Ideal for users who need to generate multiple images based on text prompts, reference images, or saved prompt files.

Quick Start

To generate an image, use the following command: generate_image --prompt "A beautiful landscape" --image output.png

Frequently Asked Questions about baoyu-imagine

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

FAQPage Schema
How do I generate multiple AI images from text prompts in a batch?▼

You can batch generate AI images by selecting sequential or parallel processing modes within this skill. It automates throughput by allowing you to select the desired API, model, and image quality for text-to-image generation.

Does AI image generation work with reference images and multiple APIs?▼

Yes, text-to-image generation supports reference images and multiple APIs including OpenAI, Google, Azure, and DashScope. It routes your prompts and reference files to the selected provider to generate the desired visual output.

Do I need Bun and NPM packages to run batch text-to-image generation?▼

Yes, you must install Bun and NPM packages to execute batch text-to-image generation. These dependencies provide the runtime environment and manage the scripts required to execute the multi-API calls.

What is the best way to automate image generation workflows across different models?▼

The best way to automate image generation workflows is using a multi-API approach that supports batch processing and parallel generation. This method manages provider routing and handles increased throughput for automated creative pipelines.

When should I use parallel instead of sequential batch image generation?▼

Use parallel batch image generation when you need maximum throughput for multiple independent text prompts. Sequential generation is preferable when API rate limits are a concern or when outputs depend on previous generation results.

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