ComfyUI-Muyan-TTS
Make Muyan-TTS avialbe in ComfyUI.
How much VRAM does ComfyUI-Muyan-TTS require?
Direct Answer: The ComfyUI node ComfyUI-Muyan-TTS 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.
- Base VRAM:
- 128MB (0.1GB)
- Recommended GPU:
- 4GB+ VRAM
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- MEDIUM
Interactive VRAM Compatibility Estimator
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 ComfyUI-Muyan-TTS?
Direct Answer: Running ComfyUI-Muyan-TTS requires installing the following Python package dependencies: accelerate<=1.2.1,>=0.34.0, av>=11, datasets<=3.2.0,>=2.16.0, deepspeed>=0.9.3, einops, ffmpeg-python, fire, g2p_en, gradio<=5.21.0,>=4.38.0, librosa>=0.9.2, matplotlib, modelscope, nltk, num2words, numba>=0.56.4, numpy>=1.23.4,<2.0.0, peft<=0.12.0,>=0.11.1, pytorch-lightning>2.0, scipy, sentencepiece, sse-starlette, tiktoken, tokenizers>=0.19.0,<=0.21.0, torchaudio, transformers>=4.41.2,<=4.49.0,!=4.46.0,!=4.46.1,!=4.46.2,!=4.46.3,!=4.47.0,!=4.47.1,!=4.48.0, trl>=0.8.6,<=0.9.6, tyro<0.9.0, vllm==0.6.4.post1, wordsegment, x_transformers. Ensure your ComfyUI environment has these packages active before launching.
accelerate<=1.2.1,>=0.34.0
av>=11
datasets<=3.2.0,>=2.16.0
deepspeed>=0.9.3
einops
ffmpeg-python
fire
g2p_en
gradio<=5.21.0,>=4.38.0
librosa>=0.9.2
matplotlib
modelscope
nltk
num2words
numba>=0.56.4
numpy>=1.23.4,<2.0.0
peft<=0.12.0,>=0.11.1
pytorch-lightning>2.0
scipy
sentencepiece
sse-starlette
tiktoken
tokenizers>=0.19.0,<=0.21.0
torchaudio
transformers>=4.41.2,<=4.49.0,!=4.46.0,!=4.46.1,!=4.46.2,!=4.46.3,!=4.47.0,!=4.47.1,!=4.48.0
trl>=0.8.6,<=0.9.6
tyro<0.9.0
vllm==0.6.4.post1
wordsegment
x_transformersInteractive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI-Muyan-TTS require?
ComfyUI-Muyan-TTS 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 ComfyUI-Muyan-TTS 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 ComfyUI-Muyan-TTS need?
ComfyUI-Muyan-TTS requires the following PyTorch-related packages: pytorch-lightning>2.0, torchaudio. 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-Muyan-TTS?
To run ComfyUI-Muyan-TTS, you need to install: accelerate<=1.2.1,>=0.34.0, av>=11, datasets<=3.2.0,>=2.16.0, deepspeed>=0.9.3, einops, ffmpeg-python, fire, g2p_en, gradio<=5.21.0,>=4.38.0, librosa>=0.9.2, matplotlib, modelscope, nltk, num2words, numba>=0.56.4, numpy>=1.23.4,<2.0.0, peft<=0.12.0,>=0.11.1, pytorch-lightning>2.0, scipy, sentencepiece, sse-starlette, tiktoken, tokenizers>=0.19.0,<=0.21.0, torchaudio, transformers>=4.41.2,<=4.49.0,!=4.46.0,!=4.46.1,!=4.46.2,!=4.46.3,!=4.47.0,!=4.47.1,!=4.48.0, trl>=0.8.6,<=0.9.6, tyro<0.9.0, vllm==0.6.4.post1, wordsegment, x_transformers. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI-Muyan-TTS?
ComfyUI-Muyan-TTS 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-Muyan-TTS in ComfyUI?
To install ComfyUI-Muyan-TTS: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/Yuan-ManX/ComfyUI-Muyan-TTS, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.