baoyu-imagine

Orchestrate multi-provider AI image generation from prompts and assets.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Orchestrates image generation across multiple AI providers from a single prompt, enabling cross-provider workflows.

Core Features & Use Cases

  • Supports OpenAI, Azure OpenAI, Google, OpenRouter, DashScope, MiniMax, Jimeng, Seedream, and Replicate for versatile image generation.
  • Handles prompts, optional reference images, aspect ratios, batch prompts, and per-image settings, with sensible defaults and robust error handling.
  • Real-world use: teams comparing styles and costs across providers before selecting a final output.

Quick Start

Provide a prompt and optional references to generate an image.

Frequently Asked Questions about baoyu-imagine

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

FAQPage Schema
How do I generate AI images across multiple providers from a single prompt?

To generate images across multiple providers, you can use a unified CLI tool that orchestrates prompt-driven generation. This allows you to compare styles and costs across platforms like OpenAI, Google, and Replicate before selecting a final output.

Can I use reference images and batch prompts for AI image generation?

Yes, batch processing and reference images are supported for AI image generation. The system handles optional reference images, aspect ratios, batch prompts, and per-image settings, enforcing sensible defaults to ensure consistent workflows.

What multi-provider AI image generation platforms are supported for cross-provider workflows?

Supported platforms for multi-provider AI image generation include OpenAI, Azure OpenAI, Google, OpenRouter, DashScope, MiniMax, Jimeng, Seedream, and Replicate. This enables versatile cross-provider workflows from a single interface.

How does the system handle model resolution and credential checks during image generation?

The system enforces model resolution and credential checks during image generation to ensure consistent workflows. It includes robust error handling and EXTEND.md-driven defaults to manage per-image settings and prevent generation failures.

Is there a way to compare styles and costs across AI image providers before finalizing an output?

Comparing styles and costs across AI image providers is achieved through multi-provider orchestration. Teams can generate images from a single prompt across different platforms simultaneously to evaluate results before committing to a final output.

Do I need specific dependencies to run multi-provider image generation scripts?

No specific external dependencies are required to run the multi-provider image generation scripts. The system operates independently using internal scripts to manage prompt-driven generation, credential checks, and batch controls across providers.