ComfyUI_RH_VoxCPM

By gluttony10View on GitHub →

ComfyUI custom nodes for VoxCPM text-to-speech, voice cloning, multi-speaker generation, and LoRA training.

How much VRAM does ComfyUI_RH_VoxCPM require?

Direct Answer: The ComfyUI node ComfyUI_RH_VoxCPM requires a minimum base VRAM of 256MB and is optimized for GPUs with at least 4GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.

High (2-4GB)
Base VRAM:
256MB (0.3GB)
Recommended GPU:
4GB+ VRAM
Low VRAM Mode:
✓ Supported
Estimation Confidence:
HIGH

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_RH_VoxCPM?

Direct Answer: Running ComfyUI_RH_VoxCPM requires installing the following Python package dependencies: addict, argbind, datasets, funasr, inflect, librosa, modelscope>=1.22.0, pydantic, safetensors, simplejson, sortedcontainers, soundfile, transformers, voxcpm, wetext. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
addict
argbind
datasets
funasr
inflect
librosa
modelscope>=1.22.0
pydantic
safetensors
simplejson
sortedcontainers
soundfile
transformers
voxcpm
wetext

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_RH_VoxCPM require?

ComfyUI_RH_VoxCPM requires a minimum of 256MB (0.3GB) of VRAM for base operation. For optimal performance, a GPU with at least 4GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.

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

✅ RTX 3060 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.2GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.4GB headroom

What Python packages are required for ComfyUI_RH_VoxCPM?

To run ComfyUI_RH_VoxCPM, you need to install: addict, argbind, datasets, funasr, inflect, librosa, modelscope>=1.22.0, pydantic, safetensors, simplejson, sortedcontainers, soundfile, transformers, voxcpm, wetext. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI_RH_VoxCPM?

ComfyUI_RH_VoxCPM 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_RH_VoxCPM in ComfyUI?

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