image-generation

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

Updated Mar 12, 2026
One-click install
npx skills add https://github.com/ishi253/byteDanceApplication --skill image-generation-ishi253
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: image-generation
Source: https://github.com/ishi253/byteDanceApplication/tree/main/deer-flow/skills/public/image-generation
Command: npx skills add https://github.com/ishi253/byteDanceApplication --skill image-generation-ishi253

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill transforms textual descriptions and reference images into unique visual content, overcoming the limitations of purely text-based image generation.

Core Features & Use Cases

  • Structured Prompting: Generates detailed JSON prompts for precise image control.
  • Reference Image Integration: Leverages provided images for style, composition, and subject guidance.
  • Versatile Generation: Capable of creating characters, scenes, products, and more with specified styles and aspect ratios.
  • Use Case: Generate a photorealistic image of a futuristic cityscape at sunset, inspired by the art style of Blade Runner, with a 16:9 aspect ratio.

Quick Start

Use the image-generation skill to create a cyberpunk hacker character with a 2:3 aspect ratio, saving the output to /mnt/user-data/outputs/cyberpunk-hacker-01.jpg.

Frequently Asked Questions about image-generation

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

FAQPage Schema
How do I generate images from text prompts using a Python script?

To generate images from text prompts, you provide detailed textual descriptions to the Python script, which calls external generation models via API. The script processes these inputs to create unique visual content and saves the output to a specified file path.

Can I use reference images to guide AI art generation and character design?

Yes, you can use reference images to guide AI art generation. The script leverages provided images to direct the style, composition, and subject matter of the generated visual content, ensuring the output matches your creative intent.

What is structured JSON prompting for image generation and when should I use it?

Structured JSON prompting is a method to define precise parameters for characters, scenes, and products during image generation. You should use this format when you need granular control over configurable aspect ratios and specific output file paths.

Does this image generation approach support custom aspect ratios for scene creation?

Yes, this image generation approach supports custom aspect ratios for scene creation. You can configure specific ratios like 16:9 or 2:3 within your structured JSON prompt to match your desired output dimensions for characters and scenes.

Do I need an external API to generate visual content from text descriptions?

Yes, you need an external API to generate visual content from text descriptions. The Python script integrates with external image generation models through API calls to execute the rendering process and produce the final image files.