envy-ai/comfyui-moss-soundeffect-v2 — explained in plain English
Analysis updated 2026-05-18
Generate custom sound effects from a text prompt inside a ComfyUI workflow.
Load and run the MOSS SoundEffect v2 model without manual model file management.
Use the included template workflow as a starting point for audio generation projects.
Reduce GPU memory use when running the model on supported CUDA hardware.
| envy-ai/comfyui-moss-soundeffect-v2 | 0marildo/imago | 0xdfi/glm-5.2-1m-4x-dgx-spark | |
|---|---|---|---|
| Stars | 3 | 3 | 3 |
| Language | Python | Python | Python |
| Setup difficulty | moderate | easy | hard |
| Complexity | 3/5 | 2/5 | 5/5 |
| Audience | vibe coder | general | researcher |
Figures from each repo's GitHub metadata at analysis time.
Requires Python 3.12+ and an existing ComfyUI install with a compatible CUDA torch setup.
This project adds sound effect generation to ComfyUI, a visual, node-based tool commonly used for running AI image and audio models. It packages an AI model called MOSS SoundEffect v2, made by the OpenMOSS team, into two building blocks you can drag into a ComfyUI workflow. The first building block loads the AI model itself, automatically downloading it from Hugging Face the first time it is used if it is not already saved on your computer. The second building block takes a text description you type in and generates an actual sound effect from it, producing standard ComfyUI audio output that you can connect to ComfyUI's existing tools for previewing or saving audio files. The project also ships a ready-made example workflow that shows up automatically inside ComfyUI's template browser once installed, so new users have a working starting point rather than needing to build the connections themselves. Under the hood, the loader includes several technical adjustments aimed at making the model run more reliably on modern graphics cards, such as working around a known compatibility issue with a code optimization feature, making sure certain NVIDIA runtime libraries are found correctly on newer CUDA versions, and offering an option to shrink the model's memory footprint by loading and compressing its largest component piece by piece instead of all at once. Installing it means cloning the repository into ComfyUI's custom nodes folder and then installing a list of required packages into the same Python environment ComfyUI uses. It needs Python 3.12 or newer and relies on the graphics card software already set up for ComfyUI rather than installing its own separate copy.
ComfyUI nodes that let you generate AI sound effects from text prompts using the MOSS SoundEffect v2 model.
Mainly Python. The stack also includes Python, ComfyUI, PyTorch.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly vibe coder.
This repo across BitVibe Labs
double-check against the repo, no cap.