Generate AI images across multiple cloud providers via a unified CLI.
npx skills add https://github.com/XinAloha/skills --skill baoyu-image-gen-xinaloha
Please help me install this Agent Skill. Skill: baoyu-image-gen Source: https://github.com/XinAloha/skills/tree/main/ai-backends/image-gen Command: npx skills add https://github.com/XinAloha/skills --skill baoyu-image-gen-xinaloha
This skill solves the fragmentation of AI image generation by providing a unified, scriptable interface that supports multiple top-tier providers like OpenAI, Google, Replicate, and DashScope, while handling complex requirements like batch processing and identity preservation.
Use the baoyu-image-gen skill to generate an image of a futuristic city with the prompt A neon-lit cyberpunk metropolis at night and save it to city.png.
High-intent search queries and answers about installing and using this skill.
You can generate AI images across multiple providers by using a unified command-line interface that integrates with OpenAI, Google, and Replicate APIs, allowing you to manage text-to-image generation workflows from one scriptable environment.
To maintain character consistency across multiple AI image generations, you can use the identity preservation feature, which utilizes reference images to keep character or object features consistent without requiring complex manual prompting.
Yes, you can use this tool for batch processing large volumes of AI images. It efficiently generates images directly from prompt files while applying built-in throttling, rate-limiting, and robust retry logic for error handling.
Yes, you need bun installed as a dependency to run the baoyu-image-gen skill, which provides the scriptable command-line interface for executing multimodal image generation and batch processing tasks.
Yes, the unified image generation tool supports both text-to-image and reference-image identity preservation workflows, enabling professional creative tasks that require either prompt-based generation or visual consistency across multiple outputs.
When using cloud provider APIs for batch AI image generation, you may encounter rate limits and processing constraints, which this tool mitigates through built-in throttling, configuration management, and robust error handling with retry logic.
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