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batch-image-generator

Batch generate game assets from a structured JSON manifest.

Updated May 3, 2026
Search Tags:#automation#manifest#scripts#image-generation#batch#ai-art#asset-management
One-click install
npx skills add https://github.com/wanyusheng63-alt/vocab-learn --skill batch-image-generator-wanyusheng63-alt
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: batch-image-generator
Source: https://github.com/wanyusheng63-alt/vocab-learn/tree/main/.codebuddy/skills/batch-image-generator
Command: npx skills add https://github.com/wanyusheng63-alt/vocab-learn --skill batch-image-generator-wanyusheng63-alt

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

The Batch Image Generator automates the production of multiple game assets by orchestrating mother images, variants, and optional background removal from a single JSON manifest, eliminating repetitive manual work.

Core Features & Use Cases

  • Orchestrates text-to-image, image-by-image editing, and background removal to generate complete asset sets.
  • Supports organized output directories and variant generation for different states (hover, idle, etc.).
  • Suitable for creating characters, UI icons, and background assets with consistent styling across assets.

Quick Start

Provide a JSON manifest and run the batch_generate script to start asset generation.

Frequently Asked Questions about batch-image-generator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate batch generation of game assets from a JSON manifest?▼

You can automate generation by providing a structured JSON manifest to orchestrate text-to-image steps, image editing, and optional background removal for characters, backgrounds, and UI icons.

Can I generate image variants for different UI states automatically?▼

You can generate image variants for different UI states like hover and idle by defining variant dependencies in your structured manifest, ensuring consistent styling across all generated asset sets.

Does this batch image generation approach support dry-run and resume options?▼

The batch image generation process supports dry-run, resume, and verbose output options, allowing you to validate manifest dependencies safely and recover from interruptions without restarting the entire pipeline.

What is the best way to manage multiple AI art assets across different directories?▼

Managing multiple AI art assets is best handled by defining mother images and variants in a JSON manifest, which automatically coordinates text-to-image generation and organizes outputs into structured directories.

How do I validate manifest dependencies before running a batch image generation pipeline?▼

Manifest dependencies for batch image generation are validated by checking mother and variant relationships within the JSON structure, and you can use the dry-run option to verify configurations before processing.

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