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ComfyUI-PechaKucha

1

Last updated
2025-05-12

ComfyUI-PechaKucha is a specialized tool designed to facilitate the creation of PechaKucha presentations using ComfyUI. It provides dedicated nodes to transform prompts into structured presentations, enhancing the workflow for users looking to generate visually engaging slideshows.

  • Offers a Split Prompt node that breaks down multi-line prompts into an array for easier management.
  • Includes a Generate PechaKucha Powerpoint node that automates the creation of presentations from a series of images.
  • Saves generated presentations directly into the ComfyUI/output/pecha_kucha folder for quick access.

Context

This tool consists of custom nodes specifically built for ComfyUI, aimed at streamlining the process of generating PechaKucha presentations. The primary purpose is to allow users to efficiently create structured slideshows that adhere to the PechaKucha format, which emphasizes concise storytelling through visuals.

Key Features & Benefits

The Split Prompt node is crucial for users who need to manage complex ideas, as it allows them to convert lengthy prompts into manageable segments. The Generate PechaKucha Powerpoint node significantly reduces the time and effort required to compile images into a cohesive presentation, making it easier for users to focus on content rather than formatting.

Advanced Functionalities

The tool's ability to take a multi-line prompt and convert it into an array allows for greater flexibility in presentation design. Users can customize their slides based on specific segments of their narrative, leading to a more organized and impactful delivery.

Practical Benefits

By automating the presentation creation process, this tool enhances productivity and ensures a higher quality output. Users can quickly generate and save presentations, which streamlines their workflow and allows for more time to refine content and visuals.

Credits/Acknowledgments

This project acknowledges contributions from the ComfyUI Team and the ComfyUI-Inspire-Pack. Special thanks to Alexis Rolland for addressing relevant queries on StackOverflow, aiding in the development of this tool.