ComfyUI-speech-dataset-toolkit

By kale4eatView on GitHub →

Basic audio tools using torchaudio for ComfyUI. It is assumed to assist in the speech dataset creation for ASR, TTS, etc.

How much VRAM does ComfyUI-speech-dataset-toolkit require?

Direct Answer: The ComfyUI node ComfyUI-speech-dataset-toolkit 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!

Deploy on High-Performance GPUs

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🚀 Deploy on Vast.ai

Deploy on Cloud GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.

🚀 Deploy on RunPod

What Python packages are required for ComfyUI-speech-dataset-toolkit?

Direct Answer: Running ComfyUI-speech-dataset-toolkit requires installing the following Python package dependencies: accelerate, cython, faster-whisper==1.0.1, ml_collections, transformers. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
accelerate
cython
faster-whisper==1.0.1
ml_collections
transformers

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:

Audio Separation (Demix)
by set-soft1.5GB VRAM
AudioDriven-Latent-Space-Tools-for-ComfyUI
by Kayarte1.5GB VRAM
Boyonodes
by DragonDiffusionbyBoyo256MB VRAM
Canary-ComfyUI
by Juste-Leo21.5GB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-speech-dataset-toolkit require?

ComfyUI-speech-dataset-toolkit 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-speech-dataset-toolkit 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 Python packages are required for ComfyUI-speech-dataset-toolkit?

To run ComfyUI-speech-dataset-toolkit, you need to install: accelerate, cython, faster-whisper==1.0.1, ml_collections, transformers. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI-speech-dataset-toolkit?

ComfyUI-speech-dataset-toolkit 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-speech-dataset-toolkit in ComfyUI?

To install ComfyUI-speech-dataset-toolkit: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/kale4eat/ComfyUI-speech-dataset-toolkit, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.