MW-ComfyUI_MegaTTS3

By mwView on GitHub →

Lightweight and Efficient, 🎧Ultra High-Quality Voice Cloning, Chinese and English.

How much VRAM does MW-ComfyUI_MegaTTS3 require?

Direct Answer: The ComfyUI node MW-ComfyUI_MegaTTS3 requires a minimum base VRAM of 128MB 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:
128MB (0.1GB)
Recommended GPU:
4GB+ 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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What Python packages are required for MW-ComfyUI_MegaTTS3?

Direct Answer: Running MW-ComfyUI_MegaTTS3 requires installing the following Python package dependencies: attrdict, langdetect, librosa, openai-whisper>=20240930, pyloudnorm, pynini==2.1.6; platform_system!="Windows", setproctitle, torchdiffeq, wetextprocessing>=1.0.3; platform_system!="Windows", x-transformers. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
attrdict
langdetect
librosa
openai-whisper>=20240930
pyloudnorm
pynini==2.1.6; platform_system!="Windows"
setproctitle
torchdiffeq
wetextprocessing>=1.0.3; platform_system!="Windows"
x-transformers

Interactive Setup & Dependency Resolver

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

Frequently Asked Questions

How much VRAM does MW-ComfyUI_MegaTTS3 require?

MW-ComfyUI_MegaTTS3 requires a minimum of 128MB (0.1GB) 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 MW-ComfyUI_MegaTTS3 on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.3GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.5GB headroom

What PyTorch version does MW-ComfyUI_MegaTTS3 need?

MW-ComfyUI_MegaTTS3 requires the following PyTorch-related packages: torchdiffeq. 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 MW-ComfyUI_MegaTTS3?

To run MW-ComfyUI_MegaTTS3, you need to install: attrdict, langdetect, librosa, openai-whisper>=20240930, pyloudnorm, pynini==2.1.6; platform_system!="Windows", setproctitle, torchdiffeq, wetextprocessing>=1.0.3; platform_system!="Windows", x-transformers. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running MW-ComfyUI_MegaTTS3?

MW-ComfyUI_MegaTTS3 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 MW-ComfyUI_MegaTTS3 in ComfyUI?

To install MW-ComfyUI_MegaTTS3: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/billwuhao/ComfyUI_MegaTTS3, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.