SoulX-Singer Nodes

By kana112233View on GitHub →

ComfyUI nodes for SoulX-Singer, a high-quality singing voice synthesis system.

How much VRAM does SoulX-Singer Nodes require?

Direct Answer: The ComfyUI node SoulX-Singer Nodes 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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Deploy on Cloud GPUs

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What Python packages are required for SoulX-Singer Nodes?

Direct Answer: Running SoulX-Singer Nodes requires installing the following Python package dependencies: accelerate>=0.25.0, beartype, editdistance, einops>=0.7.0, funasr==1.0.18, g2p_en, huggingface_hub>=0.20.0, jiwer, kaldialign, kaldiio, librosa==0.10.2.post1, llvmlite==0.42.0, matplotlib<3.9.0, mido, modelscope>=1.11.0, numba==0.59.1, numpy<2.0.0,>=1.26.0, omegaconf, packaging, paddlepaddle>=2.6.0; sys_platform != "linux", praat-parselmouth==0.4.3, pretty_midi, pyannote.audio==3.1.1, pyloudnorm==0.1.1, pyworld>=0.3.4, resampy==0.4.3, rotary_embedding_torch, safetensors, sageattention, scikit_image<0.23.0, scikit_learn==1.4.2, scipy==1.13.1, sentencepiece, setuptools<80.0.0, six, soundfile==0.12.1, tojyutping, tojyutping==3.2.0, torchcodec==0.10.0, tqdm, tqdm==4.67.1, transformers>=4.36.0, transformers==4.41.2, webdataset, webrtcvad==2.0.10. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
accelerate>=0.25.0
beartype
editdistance
einops>=0.7.0
funasr==1.0.18
g2p_en
huggingface_hub>=0.20.0
jiwer
kaldialign
kaldiio
librosa==0.10.2.post1
llvmlite==0.42.0
matplotlib<3.9.0
mido
modelscope>=1.11.0
numba==0.59.1
numpy<2.0.0,>=1.26.0
omegaconf
packaging
paddlepaddle>=2.6.0; sys_platform != "linux"
praat-parselmouth==0.4.3
pretty_midi
pyannote.audio==3.1.1
pyloudnorm==0.1.1
pyworld>=0.3.4
resampy==0.4.3
rotary_embedding_torch
safetensors
sageattention
scikit_image<0.23.0
scikit_learn==1.4.2
scipy==1.13.1
sentencepiece
setuptools<80.0.0
six
soundfile==0.12.1
tojyutping
tojyutping==3.2.0
torchcodec==0.10.0
tqdm
tqdm==4.67.1
transformers>=4.36.0
transformers==4.41.2
webdataset
webrtcvad==2.0.10

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 Kaola MOSS-TTS
by kana112233256MB VRAM
Audio Separation (Demix)
by set-soft1.5GB VRAM
AudioDriven-Latent-Space-Tools-for-ComfyUI
by Kayarte1.5GB VRAM
Boyonodes
by DragonDiffusionbyBoyo256MB VRAM

Frequently Asked Questions

How much VRAM does SoulX-Singer Nodes require?

SoulX-Singer Nodes 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 SoulX-Singer Nodes 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 SoulX-Singer Nodes need?

SoulX-Singer Nodes requires the following PyTorch-related packages: rotary_embedding_torch, torchcodec==0.10.0. 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 SoulX-Singer Nodes?

To run SoulX-Singer Nodes, you need to install: accelerate>=0.25.0, beartype, editdistance, einops>=0.7.0, funasr==1.0.18, g2p_en, huggingface_hub>=0.20.0, jiwer, kaldialign, kaldiio, librosa==0.10.2.post1, llvmlite==0.42.0, matplotlib<3.9.0, mido, modelscope>=1.11.0, numba==0.59.1, numpy<2.0.0,>=1.26.0, omegaconf, packaging, paddlepaddle>=2.6.0; sys_platform != "linux", praat-parselmouth==0.4.3, pretty_midi, pyannote.audio==3.1.1, pyloudnorm==0.1.1, pyworld>=0.3.4, resampy==0.4.3, rotary_embedding_torch, safetensors, sageattention, scikit_image<0.23.0, scikit_learn==1.4.2, scipy==1.13.1, sentencepiece, setuptools<80.0.0, six, soundfile==0.12.1, tojyutping, tojyutping==3.2.0, torchcodec==0.10.0, tqdm, tqdm==4.67.1, transformers>=4.36.0, transformers==4.41.2, webdataset, webrtcvad==2.0.10. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running SoulX-Singer Nodes?

SoulX-Singer Nodes 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 SoulX-Singer Nodes in ComfyUI?

To install SoulX-Singer Nodes: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/kana112233/ComfyUI-kaola-soulX-Singer, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.