SoulX-Singer
ComfyUI custom nodes for SoulX-Singer - Zero-Shot Singing Voice Synthesis
How much VRAM does SoulX-Singer require?
Direct Answer: The ComfyUI node SoulX-Singer 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 SoulX-Singer?
Direct Answer: Running SoulX-Singer requires installing the following Python package dependencies: accelerate>=1.11.0, beartype>=0.22.9, cloudpickle>=2.0.0, einops>=0.8.0, fiddle>=0.3.0, funasr>=1.3.0, g2p_en>=2.1.0, g2pm>=0.1.2, huggingface_hub>=0.20.0, librosa>=0.10.0, loralib>=0.1.2, ml-collections>=0.1.0, nemo_toolkit>=2.6.0, numpy<2.0.0, omegaconf>=2.3.0, praat-parselmouth>=0.4.0, pretty_midi>=0.2.10, pyworld>=0.3.0, rotary_embedding_torch>=0.8.0, safetensors>=0.4.0, scipy>=1.10.0, soundfile>=0.12.0, tojyutping>=3.2.0, torch>=2.0.0, tqdm>=4.67.0, transformers==4.57.1, wandb>=0.15.0, webrtcvad>=2.0.0. This node specifically requires PyTorch version 2.0.0 or newer.
accelerate>=1.11.0
beartype>=0.22.9
cloudpickle>=2.0.0
einops>=0.8.0
fiddle>=0.3.0
funasr>=1.3.0
g2p_en>=2.1.0
g2pm>=0.1.2
huggingface_hub>=0.20.0
librosa>=0.10.0
loralib>=0.1.2
ml-collections>=0.1.0
nemo_toolkit>=2.6.0
numpy<2.0.0
omegaconf>=2.3.0
praat-parselmouth>=0.4.0
pretty_midi>=0.2.10
pyworld>=0.3.0
rotary_embedding_torch>=0.8.0
safetensors>=0.4.0
scipy>=1.10.0
soundfile>=0.12.0
tojyutping>=3.2.0
torch>=2.0.0
tqdm>=4.67.0
transformers==4.57.1
wandb>=0.15.0
webrtcvad>=2.0.0Interactive Setup & Dependency Resolver
# Loading command...Special Environment Requirements:
Requires PyTorch version 2.0.0+.
# Loading PyTorch command...Frequently Asked Questions
How much VRAM does SoulX-Singer require?
SoulX-Singer 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 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 need?
SoulX-Singer requires the following PyTorch-related packages: rotary_embedding_torch>=0.8.0, torch>=2.0.0. 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?
To run SoulX-Singer, you need to install: accelerate>=1.11.0, beartype>=0.22.9, cloudpickle>=2.0.0, einops>=0.8.0, fiddle>=0.3.0, funasr>=1.3.0, g2p_en>=2.1.0, g2pm>=0.1.2, huggingface_hub>=0.20.0, librosa>=0.10.0, loralib>=0.1.2, ml-collections>=0.1.0, nemo_toolkit>=2.6.0, numpy<2.0.0, omegaconf>=2.3.0, praat-parselmouth>=0.4.0, pretty_midi>=0.2.10, pyworld>=0.3.0, rotary_embedding_torch>=0.8.0, safetensors>=0.4.0, scipy>=1.10.0, soundfile>=0.12.0, tojyutping>=3.2.0, torch>=2.0.0, tqdm>=4.67.0, transformers==4.57.1, wandb>=0.15.0, webrtcvad>=2.0.0. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running SoulX-Singer?
SoulX-Singer 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 in ComfyUI?
To install SoulX-Singer: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/Saganaki22/ComfyUI-SoulX-Singer, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.