baoyu-imagine

Generate images from text prompts across multiple AI providers.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/cvenwu/AiFlow --skill baoyu-imagine-cvenwu
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: baoyu-imagine
Source: https://github.com/cvenwu/AiFlow/tree/main/skills/baoyu-imagine
Command: npx skills add https://github.com/cvenwu/AiFlow --skill baoyu-imagine-cvenwu

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Consolidates multi-provider AI image generation into a single workflow, simplifying cross-provider prompts, references, and batching.

Core Features & Use Cases

  • Supports text-to-image with reference images and aspect ratio controls across Google, OpenAI, Azure, OpenRouter, DashScope, ZAI, MiniMax, Jimeng, Seedream, and Replicate.
  • Batch generation from saved prompts for high-throughput workflows.
  • Automatic provider/model resolution and size handling, with provider-specific guardrails and error handling.

Quick Start

Provide a text prompt and optional references to generate an image using the integrated 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 using a single workflow?

You can consolidate cross-provider AI image generation into a single workflow that validates inputs, resolves model sizes, and handles automatic provider selection across major platforms.

Can I use reference images and control aspect ratio for text-to-image generation?

Yes, text-to-image generation supports both reference images to guide visual style and aspect-ratio controls to define output dimensions across all supported providers.

Does this workflow support batch processing for high-throughput image generation?

Yes, batch generation from saved prompts enables high-throughput workflows by handling multiple prompt inputs automatically and resolving models for each provider.

Which AI image generation providers are supported for cross-provider prompts?

Supported providers include Google, OpenAI, Azure, OpenRouter, DashScope, ZAI, MiniMax, Jimeng, Seedream, and Replicate for cross-provider image generation.

How does automatic model and provider resolution work for image generation?

The workflow validates your inputs, automatically selects the appropriate provider and model size, applies provider-specific guardrails, and handles errors during image generation.