baoyu-image-gen

Generate AI images from prompts across Google, OpenAI, DashScope, and Replicate.

103|14|Updated Feb 22, 2026
One-click install
npx skills add https://github.com/szsip239/teamclaw --skill baoyu-image-gen-szsip239
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: baoyu-image-gen
Source: https://github.com/szsip239/teamclaw/tree/main/data/skills/content-skills/baoyu-image-gen
Command: npx skills add https://github.com/szsip239/teamclaw --skill baoyu-image-gen-szsip239

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Generate AI images from multiple providers (Google, OpenAI, DashScope, and Replicate) using prompts, supporting reference images and aspect-ratio controls.

Core Features & Use Cases

  • Provider-agnostic image generation across Google, OpenAI, DashScope, and Replicate with prompt-based creation.
  • Reference image support and aspect-ratio/size customization for flexible outputs.
  • EXTEND.md driven preferences and per-provider model selection for persistent workflows.

Quick Start

Invoke the skill with a prompt and an output path to generate an image.

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 from a text prompt across different providers?

AI image generation from a text prompt is handled by routing the request to an available provider like Google, OpenAI, DashScope, or Replicate based on your API keys to produce the requested image file.

Can I use reference images and control the aspect ratio for AI image generation?

Yes, AI image generation supports optional reference images and aspect-ratio or size controls, allowing you to customize the output dimensions and guide the visual style directly from your natural language prompt.

Does this tool support parallel image generation for large batch outputs?

Yes, AI image generation supports parallel generation on request for large batches across different outputs and sizes, while sequential generation remains the default mode for standard quick previews.

How are API providers selected when generating images from multiple providers?

Provider selection for AI image generation happens automatically by validating your available API keys and checking extended preferences defined in the EXTEND.md file to choose the appropriate model.

What happens when an AI image generation request fails due to provider errors?

When AI image generation encounters provider errors, the skill handles them with automatic retries, ensuring robust execution while exposing a minimal API for integration and workflow extensions.