GSTTS-ComfyUI

By AIFSHView on GitHub →

a comfyui custom node for [a/GPT-SoVITS](https://github.com/RVC-Boss/GPT-SoVITS)

How much VRAM does GSTTS-ComfyUI require?

Direct Answer: The ComfyUI node GSTTS-ComfyUI 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 GSTTS-ComfyUI?

Direct Answer: Running GSTTS-ComfyUI requires installing the following Python package dependencies: chardet, cn2an, faster_whisper, ffmpeg-python, funasr, g2p_en, g2pk2, jieba, jieba_fast, ko_pron, langsegment>=0.2.0, librosa, matplotlib, modelscope, numba==0.56.4, onnxruntime; sys_platform == 'darwin', opencc; sys_platform != 'linux', opencc==1.1.1; sys_platform == 'linux', pandas, psutil, pyjyutping, pyopenjtalk, pypinyin, python_mecab_ko; sys_platform != 'win32', pytorch-lightning, pyyaml, rotary_embedding_torch, scipy, sentencepiece, srt, tensorboard, tqdm, transformers, translators, wordsegment. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
chardet
cn2an
faster_whisper
ffmpeg-python
funasr
g2p_en
g2pk2
jieba
jieba_fast
ko_pron
langsegment>=0.2.0
librosa
matplotlib
modelscope
numba==0.56.4
onnxruntime; sys_platform == 'darwin'
opencc; sys_platform != 'linux'
opencc==1.1.1; sys_platform == 'linux'
pandas
psutil
pyjyutping
pyopenjtalk
pypinyin
python_mecab_ko; sys_platform != 'win32'
pytorch-lightning
pyyaml
rotary_embedding_torch
scipy
sentencepiece
srt
tensorboard
tqdm
transformers
translators
wordsegment

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:

ComfyUI-FishSpeech
by AIFSH1.5GB VRAM
ComfyUI-GPT_SoVITS
by AIFSH128MB VRAM
ComfyUI-WhisperX
by AIFSH1.5GB VRAM
ComfyUI-XTTS
by AIFSH128MB VRAM
VocalSeparation-ComfyUI
by AIFSH1.5GB VRAM

Frequently Asked Questions

How much VRAM does GSTTS-ComfyUI require?

GSTTS-ComfyUI 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 GSTTS-ComfyUI 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 GSTTS-ComfyUI need?

GSTTS-ComfyUI requires the following PyTorch-related packages: pytorch-lightning, rotary_embedding_torch. 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 GSTTS-ComfyUI?

To run GSTTS-ComfyUI, you need to install: chardet, cn2an, faster_whisper, ffmpeg-python, funasr, g2p_en, g2pk2, jieba, jieba_fast, ko_pron, langsegment>=0.2.0, librosa, matplotlib, modelscope, numba==0.56.4, onnxruntime; sys_platform == 'darwin', opencc; sys_platform != 'linux', opencc==1.1.1; sys_platform == 'linux', pandas, psutil, pyjyutping, pyopenjtalk, pypinyin, python_mecab_ko; sys_platform != 'win32', pytorch-lightning, pyyaml, rotary_embedding_torch, scipy, sentencepiece, srt, tensorboard, tqdm, transformers, translators, wordsegment. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running GSTTS-ComfyUI?

GSTTS-ComfyUI 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 GSTTS-ComfyUI in ComfyUI?

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