baoyu-image-gen

Generate images from prompts across multiple AI providers with batch support.

Updated Feb 6, 2026
One-click install
npx skills add https://github.com/glfruit/gorin-skills --skill baoyu-image-gen-glfruit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: baoyu-image-gen
Source: https://github.com/glfruit/gorin-skills/tree/main/openclaw/baoyu-image-gen
Command: npx skills add https://github.com/glfruit/gorin-skills --skill baoyu-image-gen-glfruit

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill consolidates multiple AI image-generation providers into a single workflow, enabling consistent prompts, batch processing, and cross-provider deployment without switching tools.

Core Features & Use Cases

  • Supports text-to-image generation, reference images, aspect ratios, and batch generation from saved prompts.
  • Orchestrates providers including Google, OpenAI, Azure OpenRouter, DashScope, MiniMax, Seedream, Replicate, and Jimeng with provider-specific sizing and model selection.
  • Ideal for teams building image assets, prototypes, or large image batches across diverse AI models, while maintaining consistent input/output handling.

Quick Start

Run the skill to generate images from prompts across multiple providers, using batch mode for parallel image creation and shared prompts.

Frequently Asked Questions about baoyu-image-gen

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

FAQPage Schema
How do I generate AI images across multiple providers without switching tools?

Batch AI image generation creates multiple images from saved prompts in parallel across providers. It orchestrates models from Google, OpenAI, and DashScope while handling API keys and errors with retry logic for resilient parallel output.

Can I use reference images and custom aspect ratios for text-to-image generation?

Reference images and custom aspect ratios are supported for text-to-image generation. The skill validates provider-specific sizing constraints for models from providers like OpenAI and Google to ensure accurate image output dimensions.

Does AI image generation work with Azure OpenRouter and DashScope APIs?

AI image generation handles provider-specific sizing and API key validation across Azure OpenRouter and DashScope. It includes retry logic for error handling to ensure resilient image delivery from these platforms.

What is the best way to handle API errors during multi-provider image generation?

Handling API errors during multi-provider image generation is managed through built-in retry logic. The skill validates provider-specific sizing and orchestrates API keys to ensure resilient image creation despite transient API failures.