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image-generation

Generate and edit images from text prompts and reference images via API.

Updated Mar 3, 2026
Search Tags:#image generation#image editing#ai art#seedream#text to image#nodestudio
One-click install
npx skills add https://github.com/zinohome/zinoClaw --skill image-generation-zinohome
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: image-generation
Source: https://github.com/zinohome/zinoClaw/tree/main/docker-customize/deskclaw-resources/skills/image-generation
Command: npx skills add https://github.com/zinohome/zinoClaw --skill image-generation-zinohome

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill solves the challenge of creating and modifying images quickly by automating text-to-image and image editing workflows through an AI image generation service.

Core Features & Use Cases

  • Text-to-Image Generation: Create new images from natural language prompts with configurable models, aspect ratios, resolutions, and output counts.
  • Image-to-Image Editing: Modify existing images by providing references for tasks such as retouching, replacement, enhancement, and style transformation.
  • AI Creative Workflows: Support design, illustration, marketing visuals, concept art, and other image production scenarios with model selection and automated download handling.

Quick Start

Use the image-generation skill to create a high-quality illustration of a futuristic city skyline at sunset.

Frequently Asked Questions about image-generation

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

FAQPage Schema
How do I generate AI images from text prompts?▼

AI image generation from text prompts requires submitting natural language descriptions to an API-based model workflow. You can configure models, aspect ratios, resolutions, and output counts, then poll the task and download the finished image automatically.

Can I edit existing images using AI image generation workflows?▼

AI image editing workflows support modifying existing images by providing reference images for tasks like retouching, replacement, enhancement, and style transformation through an API-based model submission and polling process.

What do I need to set up text-to-image generation with configurable resolution?▼

Text-to-image generation with configurable resolution requires an API-based model submission environment with no external dependencies. You submit prompts, configure aspect ratios and resolution settings, then poll tasks and download results.

Does AI image generation work for marketing visuals and concept art?▼

AI image generation applies to creative tasks including marketing visuals, concept art, illustration, and visual design. It supports model selection and automated download handling for various image production scenarios.

Why does my AI image generation task require polling?▼

AI image generation workflows require task polling because API-based model submissions process asynchronously. After submitting a text prompt or reference image, you poll the task status until completion, then download the generated or edited image output.

What is the best way to handle aspect ratio configuration for AI generated images?▼

Handling aspect ratio configuration for AI generated images involves setting configurable parameters during API-based model submission. The workflow applies your specified aspect ratios and resolutions to the text-to-image or image editing task output.

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