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baoyu-image-gen

Generate images across multiple AI providers with prompts and size controls.

Updated May 18, 2018
Search Tags:#prompts#image-generation#batch-processing#reference-images#ai-art#mult-provider
One-click install
npx skills add https://github.com/812lcl/dotfiles --skill baoyu-image-gen-812lcl
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: baoyu-image-gen
Source: https://github.com/812lcl/dotfiles/tree/main/.agents/skills/baoyu-image-gen
Command: npx skills add https://github.com/812lcl/dotfiles --skill baoyu-image-gen-812lcl

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Baoyu Image Gen enables AI image generation across multiple providers using prompts, reference images, and size controls.

Core Features & Use Cases

  • Supports text-to-image generation via Google, OpenAI, OpenRouter, DashScope, Jimeng, Seedream, and Replicate.
  • Handles reference images, aspect ratio, batch files, and per-task output paths with retry logic.
  • Scenarios include generating art assets, product visuals, or illustrations from saved prompts.

Quick Start

Generate an image from a prompt using a saved batch or a new prompt.

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 like Google and OpenAI?▼

AI image generation across multiple providers is handled by routing text prompts and reference images to Google, OpenAI, DashScope, and Replicate APIs, returning saved image files to disk.

Can I batch process prompts for AI art generation?▼

Batch processing for AI art generation is fully supported, coordinating multiple image workflows concurrently while enforcing per-provider rate limits and automatic retries for each task.

Does this image generation tool work with reference images and aspect ratio controls?▼

Reference images and size controls are supported inputs, allowing you to guide AI image generation by supplying existing visual assets alongside text prompts and aspect ratio parameters.

How are AI models resolved for image generation tasks?▼

AI image generation models are resolved dynamically from CLI arguments, EXTEND.md configurations, and environment variables, ensuring the correct provider-specific model executes each task.

What happens when a provider rate limit is hit during batch image generation?▼

When provider rate limits are hit during batch image generation, the system enforces per-provider throttling and applies automatic retry logic, reporting per-task status to track successes and failures.

What is the best way to manage saved prompts for multi-provider image generation?▼

Managing saved prompts for multi-provider image generation involves defining text inputs and size controls in batch files, which the system validates and routes to providers like Jimeng and Seedream.

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