ComfyUI_pyannote

By ramesh-x90View on GitHub →

This repository provides custom nodes for ComfyUI designed to process audio files, performing speaker diarization and integrating speaker data into whisper-transcribed segments. These nodes utilize the PyAnnote library for speaker identification and pandas for efficient data handling.

How much VRAM does ComfyUI_pyannote require?

Direct Answer: The ComfyUI node ComfyUI_pyannote requires a minimum base VRAM of 1536MB and is optimized for GPUs with at least 6GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.

High (2-4GB)
Base VRAM:
1536MB (1.5GB)
Recommended GPU:
6GB+ VRAM
Low VRAM Mode:
✓ Supported
Estimation Confidence:
MEDIUM

Interactive VRAM Compatibility Estimator

Estimated Total VRAM: 3.00 GBTarget: 8 GB
✅ Comfortable Fit

Your GPU has plenty of headroom. You can run this node safely with your active configurations!

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🚀 Deploy on Vast.ai

Deploy on Cloud GPUs

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What Python packages are required for ComfyUI_pyannote?

Direct Answer: Running ComfyUI_pyannote requires installing the following Python package dependencies: pyannote.audio, pydub, torch, torchaudio. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
pyannote.audio
pydub
torch
torchaudio

Interactive Setup & Dependency Resolver

Operating System:
Environment Type:
Run this terminal command in your ComfyUI root folder:
# Loading command...

Related Custom Nodes

The following custom nodes run in the same PyTorch / CUDA environment and share similar categories or workflows:

ACE-Step-ComfyUI
by ace-step1.5GB VRAM
APZmedia Qwen TTS Nodes
by APZmedia128MB VRAM
ATI_AudioReactive
by yukascomfy1.5GB VRAM
Akatz Custom Nodes
by akatz-ai128MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI_pyannote require?

ComfyUI_pyannote requires a minimum of 1536MB (1.5GB) of VRAM for base operation. For optimal performance, a GPU with at least 6GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.

Can I run ComfyUI_pyannote on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 9.3GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 9.3GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 12.9GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 20.1GB headroom

What PyTorch version does ComfyUI_pyannote need?

ComfyUI_pyannote requires the following PyTorch-related packages: torch, torchaudio. Ensure your ComfyUI environment has these installed. Ensure your PyTorch installation matches your CUDA version (use torch.version.cuda to check).

What Python packages are required for ComfyUI_pyannote?

To run ComfyUI_pyannote, you need to install: pyannote.audio, pydub, torch, torchaudio. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI_pyannote?

ComfyUI_pyannote supports low VRAM mode. To reduce memory usage: (1) Enable --lowvram or --medvram flags in ComfyUI, (2) Reduce batch size to 1, (3) Use fp16 or fp8 precision if supported, (4) Close other GPU applications.

How do I install ComfyUI_pyannote in ComfyUI?

To install ComfyUI_pyannote: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/ramesh-x90/ComfyUI_pyannote, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.