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openai-image-gen

Generate images via the OpenAI Images API with batch processing and customizable outputs.

Updated Feb 1, 2026
Search Tags:#prompt engineering#image generation#visual content#openai#ai art#dall-e
One-click install
npx skills add https://github.com/NJUxlj/openclaw --skill openai-image-gen-njuxlj
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openai-image-gen
Source: https://github.com/NJUxlj/openclaw/tree/main/skills/openai-image-gen
Command: npx skills add https://github.com/NJUxlj/openclaw --skill openai-image-gen-njuxlj

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the generation of images using the OpenAI Images API, simplifying the process of creating visual content from text prompts.

Core Features & Use Cases

  • Batch Image Generation: Create multiple images from random or specified prompts.
  • Model Flexibility: Supports various OpenAI image models (GPT image models, DALL-E 2, DALL-E 3) with model-specific parameter tuning.
  • Customization: Control image size, quality, background transparency, and output format.
  • Use Case: Quickly generate a set of concept art for a new game character, create unique illustrations for a blog post, or visualize product ideas with specific stylistic requirements.

Quick Start

Generate 4 images using the 'dall-e-3' model with a 'vivid' style.

Frequently Asked Questions about openai-image-gen

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

FAQPage Schema
How do I generate AI images from text prompts using the OpenAI Images API?▼

Batch image generation allows you to create multiple images simultaneously from random or specified text prompts, facilitating rapid visual content creation for design and conceptualization tasks.

Can I use DALL-E 3 and DALL-E 2 models for batch image generation?▼

Yes, batch image generation supports model flexibility across OpenAI image models including DALL-E 2, DALL-E 3, and GPT image models, with model-specific parameter tuning for each generation.

What output formats and image dimensions are supported for AI art generation?▼

AI art generation supports customization of image dimensions, quality settings, background transparency, and multiple output formats including PNG, JPEG, and WebP for diverse design requirements.

Does prompt engineering help customize background transparency in DALL-E image outputs?▼

Prompt engineering combined with API parameters controls background transparency and stylistic requirements in DALL-E image outputs, allowing specific visual customization for concept art or product ideas.

What are the limitations when generating visual content with GPT image models?▼

Limitations when generating visual content with GPT image models include model-specific parameter tuning constraints and dependencies on text prompt specificity to accurately achieve desired stylistic requirements.

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