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ComfyUI-AjoNodes

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Last updated
2025-06-16

AjoNodes is a set of custom nodes for ComfyUI that focuses on audio processing and video frame interpolation. It includes tools for collecting and concatenating audio segments, as well as calculating frame skips for interpolation.

  • Provides an Audio Collect & Concat node to seamlessly combine multiple audio inputs.
  • Features a VFI Frame Skip Calculator that aids in optimizing frame interpolation for video processing.
  • Ensures compatibility by checking for sample rate mismatches in audio inputs.

Context

AjoNodes is an extension specifically built for ComfyUI, designed to enhance audio handling and video frame interpolation capabilities. Its primary purpose is to streamline audio processing workflows and improve the efficiency of video frame adjustments.

Key Features & Benefits

The Audio Collect & Concat node allows users to gather various audio segments and merge them into a single output, which is essential for projects requiring continuous audio flow. The VFI Frame Skip Calculator simplifies the process of preparing video frames for interpolation, providing users with a skip list and necessary multipliers for effective video enhancement.

Advanced Functionalities

The VFI Frame Skip Calculator not only generates a list of frames to skip but also calculates the appropriate interpolation multiplier needed for tools like RIFE. This functionality is crucial for users looking to achieve smooth video transitions without manual frame adjustments.

Practical Benefits

By integrating AjoNodes into their workflows, users can significantly improve their control over audio and video processing tasks within ComfyUI. The tool enhances efficiency by automating tedious tasks, ensuring high-quality outputs while reducing the need for manual intervention.

Credits/Acknowledgments

This project is developed by the AJO-reading organization and is made available under the MIT License. The contributions from the ComfyUI community and collaborators such as @Verevolf, @melmass (MTB), and @manu_le_surikhate_gamer are acknowledged and appreciated.