Practical overview
When it fits
Use it when an existing or planned ComfyUI animation workflow needs audio-reactive timing, frame controls or peak-based event triggers.
Who it is for
- ComfyUI users creating AI-driven animations synchronized with music.
- Creators who want audio analysis or separated audio components to influence animation frames and transitions.
Documented uses
- Generate animation frame weights from audio analysis.
- Use separated audio components to shape audio-driven animations.
- Trigger animation transitions or events when audio-weight peaks occur.
- Configure an image-to-video workflow with a set of images and an audio input.
Requirements & limits
- ComfyUI is a prerequisite; the nodes are not presented as a standalone animation app.
- The project provides example workflows and describes an image-to-video path using images plus audio.
- Audio-separation model support includes models such as HybridDemucs and OpenUnmix.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Set up an image-to-video audio-reactive workflow
Prepare the documented ComfyUI workflow using image and audio inputs.
Before you start
- ComfyUI installed; the project lists Mac, Windows and Linux for ComfyUI.
- A set of images and an audio input.
Steps
Install ComfyUI.
Choose an example workflow from the project.
Specify the audio and visual inputs in the workflow.
Expected outcome
A ComfyUI workflow configured to use images and audio for an audio-reactive video.
Guide limitations
- The repository instructions describe choosing a workflow and providing inputs but do not document the exact node-installation procedure in the supplied material.
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 16 October 2026
- Original website title
- GitHub - yvann-ba/ComfyUI_Yvann-Nodes: Audio Reactivity Nodes for ComfyUI 🔊 Create AI generated audio-driven animations · GitHub · Official homepage title · retained in its source language

