ComfyUI_FL-ClearVoice

FL ClearVoice - Audio enhancement nodes for ComfyUI. Features speech enhancement, super-resolution, denoising, and audio restoration using ClearVoice, Resemble-Enhance, and VoiceFixer models. Supports multiple backends with automatic model downloading.

How much VRAM does ComfyUI_FL-ClearVoice require?

Direct Answer: The ComfyUI node ComfyUI_FL-ClearVoice 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 Cloud GPUs

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What Python packages are required for ComfyUI_FL-ClearVoice?

Direct Answer: Running ComfyUI_FL-ClearVoice requires installing the following Python package dependencies: clearvoice, librosa>=0.10.0, numpy>=1.24.0, scipy>=1.10.0, soundfile>=0.12.0, torch>=2.0.0, torchaudio>=2.0.0, transformers<4.46.0. This node specifically requires PyTorch version 2.0.0 or newer.

requirements.txt
clearvoice
librosa>=0.10.0
numpy>=1.24.0
scipy>=1.10.0
soundfile>=0.12.0
torch>=2.0.0
torchaudio>=2.0.0
transformers<4.46.0

Interactive Setup & Dependency Resolver

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

Special Environment Requirements:

Requires PyTorch version 2.0.0+.

To update PyTorch for your selected setup, run:
# Loading PyTorch command...

Frequently Asked Questions

How much VRAM does ComfyUI_FL-ClearVoice require?

ComfyUI_FL-ClearVoice 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_FL-ClearVoice 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_FL-ClearVoice need?

ComfyUI_FL-ClearVoice requires the following PyTorch-related packages: torch>=2.0.0, torchaudio>=2.0.0. 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_FL-ClearVoice?

To run ComfyUI_FL-ClearVoice, you need to install: clearvoice, librosa>=0.10.0, numpy>=1.24.0, scipy>=1.10.0, soundfile>=0.12.0, torch>=2.0.0, torchaudio>=2.0.0, transformers<4.46.0. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI_FL-ClearVoice?

ComfyUI_FL-ClearVoice 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_FL-ClearVoice in ComfyUI?

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