baoyu-imagine

Orchestrate multi-provider AI image generation from prompts across ten providers.

Updated May 5, 2025
One-click install
npx skills add https://github.com/yopitek/Obsidian --skill baoyu-imagine-yopitek
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: baoyu-imagine
Source: https://github.com/yopitek/Obsidian/tree/main/HQ/10_resources/01_AI_Skills/baoyu-skills/skills/baoyu-imagine
Command: npx skills add https://github.com/yopitek/Obsidian --skill baoyu-imagine-yopitek

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Orchestrate multi-provider AI image generation from prompts across Google, OpenAI, Azure, OpenRouter, DashScope, Z.AI GLM-Image, MiniMax, Jimeng, Seedream, and Replicate.

Core Features & Use Cases

  • Text-to-image generation with multiple providers, including reference images and aspect ratio control.
  • Batch generation from saved prompts with stable throughput.
  • Provider/model resolution via EXTEND.md, environment, or defaults; dynamic provider selection.

Quick Start

Provide a prompt (and optional reference image) and run the main script to generate images across the configured providers.

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 like OpenAI and Google?

Batch AI image generation processes multiple saved prompts sequentially or in batch mode depending on the task. This Skill validates your prompt list, resolves the target provider, and generates images with stable throughput.

Can I use a reference image to control text-to-image generation?

Provider resolution automatically selects a default model from your EXTEND.md configuration or environment variables. This Skill dynamically resolves the appropriate provider if you do not explicitly specify one for your image generation task.

What is the best way to handle batch image generation from a list of prompts?

Batch image generation from saved prompts is handled through sequential or batch processing modes. This Skill validates the prompt inputs, resolves the target models, and executes the generation tasks to maintain stable throughput across the batch.

Does this image generation workflow support aspect ratio control?

Aspect ratio control is supported for text-to-image generation across the configured providers. This Skill passes your specified aspect ratio parameters to the underlying provider models, ensuring the output images match your required dimensions.