Summary

This repository provides a curated set of AI-generated prompts designed to create presentation slides across diverse visual styles. It targets users needing to quickly produce professional or creative PPTs, offering a benefit of streamlined design and varied aesthetic options through AI.

How It Works

The project offers detailed, pre-written prompts for 11 distinct slide styles (e.g., Retro Pop Art, Cyberpunk Neon, Swiss International). These prompts are intended for direct use with AI image generation models, such as gemini-3.1-flash-image-preview via platforms like nanobanana2. The approach leverages specific design parameters—including color palettes, typography, and layout—to ensure consistent thematic output and simplify the slide creation workflow.

Quick Start & Requirements

• Primary Install/Run: No code installation is required. Users copy prompts from PROMPTS.md, customize text content, and then paste them into a compatible AI generation platform (e.g., nanobanana2).
• Prerequisites: Access to an AI model capable of image generation; gemini-3.1-flash-image-preview is recommended.
• Recommended Settings: Model: gemini-3.1-flash-image-preview (nanobanana2), Resolution: 2048*1152 (2K 16:9), Aspect Ratio: 16:9.
• Links: GitHub repository: https://github.com/AAAAAAAJ/slides.

Highlighted Details

• Features 11 distinct, well-defined slide styles with example prompts, covering aesthetics from "Retro Pop Art" to "Y2K Pixel Retro."
• Includes comprehensive content creation guidelines and visual representation suggestions, detailing principles for titles, subtitles, data points, and graphical elements.
• Prompts specify precise design elements like color palettes (with hex codes), typography, layout structures, and stylistic influences (e.g., Y2K, Swiss International, Dark Editorial).

Maintenance & Community

• The project is hosted on GitHub. The README does not detail specific contributors, sponsorships, or community channels (e.g., Discord, Slack).
• Link: GitHub: https://github.com/AAAAAAAJ/slides.

Licensing & Compatibility

• License: MIT License.
• Compatibility: The MIT license is highly permissive, supporting commercial use and integration into closed-source projects without significant restrictions.

Limitations & Caveats

• This repository functions as a prompt library and design guide, not a standalone application. Slide generation is dependent on external AI platforms and models.
• The quality and consistency of generated slides are contingent on the user's prompt customization skills and the capabilities of the chosen AI generation tool.