image-generation

Generates images from JSON prompts and reference images via Python script execution.

Updated Jun 2, 2026

Search Tags:#image generation #character design #structured prompts #reference images #scene creation

Ready to run

npx skills add https://github.com/bettercallfan/deerflow --skill image-generation-bettercallfan

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: image-generation
Source: https://github.com/bettercallfan/deerflow/tree/main/skills/public/image-generation
Command: npx skills add https://github.com/bettercallfan/deerflow --skill image-generation-bettercallfan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires Pillow, base64, requests, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the need for generating high-quality images based on structured prompts and reference images, simplifying the process of creating visual content for various applications.

Core Features & Use Cases

Structured Prompts: Create JSON-formatted prompts for AIGC image generation.
Reference Images: Support multiple reference images for style and composition guidance.
Automated Generation: Execute image generation through an automated Python script.
Scenarios: Handle various image generation scenarios such as character design, scenes, and products.
Use Case: For a user who needs a character design, this Skill can generate a detailed character based on specific attributes and styles.

Quick Start

Use the image-generation skill to create an image of a Tokyo street style woman character in the 1990s.

Frequently Asked Questions about image-generation

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

FAQPage Schema

How do I generate high-quality images using structured prompts and reference images?▼

To generate high-quality images, you provide JSON-formatted structured prompts and reference images to an automated Python script. This process supports character design, scene creation, and product visualization based on your specified attributes.

What is the best way to design characters using JSON-formatted prompts?▼

The best way to design characters with JSON-formatted prompts is to define specific attributes and styles within the structured prompt. The automated Python script then processes these inputs to generate detailed character designs.

Can I use multiple reference images for style and composition guidance?▼

Yes, you can use multiple reference images to provide style and composition guidance for image generation. The script processes these references alongside your structured prompts to ensure the output matches your desired visual direction.

Do I need Python installed to execute the image generation script?▼

Yes, you need Python installed to execute the automated image generation script. The script also requires specific dependencies like Pillow, base64, and requests to process the JSON-formatted prompts and reference images successfully.

Does the image generation script support product visualization scenarios?▼

Yes, the image generation script supports product visualization scenarios. By utilizing structured prompts and reference images, you can generate high-quality visual content tailored for various applications including product design and scene creation.

What are the limitations of using structured prompts for AIGC image generation?▼

A limitation of using structured prompts for AIGC image generation is the strict requirement for JSON formatting and Python script execution. Users must accurately structure their prompts and manage dependencies like Pillow and requests to avoid processing errors.