ComfyUI_FL-SongGen
FL Song Gen - AI-powered song generation nodes for ComfyUI. Generate complete songs with vocals and instrumentals from lyrics using Tencent's SongGeneration (LeVo) model. Features style transfer, auto style presets, dual-track output, and up to 4m30s song generation.
How much VRAM does ComfyUI_FL-SongGen require?
Direct Answer: The ComfyUI node ComfyUI_FL-SongGen 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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Deploy on Cloud GPUs
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What Python packages are required for ComfyUI_FL-SongGen?
Direct Answer: Running ComfyUI_FL-SongGen requires installing the following Python package dependencies: alias-free-torch>=0.0.6, descript-audio-codec>=1.0.0, diffusers>=0.27.0, einops>=0.8.0, einops-exts>=0.0.4, filelock>=3.13.0, huggingface-hub>=0.25.0, julius>=0.2.7, k-diffusion>=0.1.1, lameenc>=1.8.1, librosa>=0.11.0, numpy>=1.24.0, omegaconf>=2.3.0, openunmix>=1.3.0, packaging>=21.0, safetensors>=0.4.0, soundfile>=0.12.0, torch>=2.0.0, torchaudio>=2.0.0, transformers>=4.37.0, vector-quantize-pytorch>=1.14.0, x-transformers>=2.0.0. This node specifically requires PyTorch version 2.0.0 or newer.
alias-free-torch>=0.0.6
descript-audio-codec>=1.0.0
diffusers>=0.27.0
einops>=0.8.0
einops-exts>=0.0.4
filelock>=3.13.0
huggingface-hub>=0.25.0
julius>=0.2.7
k-diffusion>=0.1.1
lameenc>=1.8.1
librosa>=0.11.0
numpy>=1.24.0
omegaconf>=2.3.0
openunmix>=1.3.0
packaging>=21.0
safetensors>=0.4.0
soundfile>=0.12.0
torch>=2.0.0
torchaudio>=2.0.0
transformers>=4.37.0
vector-quantize-pytorch>=1.14.0
x-transformers>=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 ComfyUI_FL-SongGen require?
ComfyUI_FL-SongGen 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_FL-SongGen 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_FL-SongGen need?
ComfyUI_FL-SongGen requires the following PyTorch-related packages: alias-free-torch>=0.0.6, torch>=2.0.0, torchaudio>=2.0.0, vector-quantize-pytorch>=1.14.0. 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 ComfyUI_FL-SongGen?
To run ComfyUI_FL-SongGen, you need to install: alias-free-torch>=0.0.6, descript-audio-codec>=1.0.0, diffusers>=0.27.0, einops>=0.8.0, einops-exts>=0.0.4, filelock>=3.13.0, huggingface-hub>=0.25.0, julius>=0.2.7, k-diffusion>=0.1.1, lameenc>=1.8.1, librosa>=0.11.0, numpy>=1.24.0, omegaconf>=2.3.0, openunmix>=1.3.0, packaging>=21.0, safetensors>=0.4.0, soundfile>=0.12.0, torch>=2.0.0, torchaudio>=2.0.0, transformers>=4.37.0, vector-quantize-pytorch>=1.14.0, x-transformers>=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 ComfyUI_FL-SongGen?
ComfyUI_FL-SongGen 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_FL-SongGen in ComfyUI?
To install ComfyUI_FL-SongGen: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/filliptm/ComfyUI_FL-SongGen, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.