ComfyUI_SongGeneration
[a/SongGeneration](https://github.com/tencent-ailab/SongGeneration):High-Quality Song Generation with Multi-Preference Alignment (SOTA),you can try VRAM>12G
How much VRAM does ComfyUI_SongGeneration require?
Direct Answer: The ComfyUI node ComfyUI_SongGeneration 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_SongGeneration?
Direct Answer: Running ComfyUI_SongGeneration requires installing the following Python package dependencies: accelerate, aiohttp, alias-free-torch, audiocraft, av, cloudpickle, colorlog, descript-audio-codec, descript-audiotools, diffusers, dora_search, einops, einops-exts, einx, flashy, gguf, kaldiio, lameenc, nnaudio, omegaconf, opencv-python, openunmix, peft, pypinyin, submitit, torch, torchaudio, torchvision, tqdm, treetable, triton, vector_quantize_pytorch, x-transformers, xformers. Ensure your ComfyUI environment has these packages active before launching.
accelerate
aiohttp
alias-free-torch
audiocraft
av
cloudpickle
colorlog
descript-audio-codec
descript-audiotools
diffusers
dora_search
einops
einops-exts
einx
flashy
gguf
kaldiio
lameenc
nnaudio
omegaconf
opencv-python
openunmix
peft
pypinyin
submitit
torch
torchaudio
torchvision
tqdm
treetable
triton
vector_quantize_pytorch
x-transformers
xformersInteractive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI_SongGeneration require?
ComfyUI_SongGeneration 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_SongGeneration 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_SongGeneration need?
ComfyUI_SongGeneration requires the following PyTorch-related packages: alias-free-torch, torch, torchaudio, torchvision, vector_quantize_pytorch. 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_SongGeneration?
To run ComfyUI_SongGeneration, you need to install: accelerate, aiohttp, alias-free-torch, audiocraft, av, cloudpickle, colorlog, descript-audio-codec, descript-audiotools, diffusers, dora_search, einops, einops-exts, einx, flashy, gguf, kaldiio, lameenc, nnaudio, omegaconf, opencv-python, openunmix, peft, pypinyin, submitit, torch, torchaudio, torchvision, tqdm, treetable, triton, vector_quantize_pytorch, x-transformers, xformers. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI_SongGeneration?
ComfyUI_SongGeneration 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_SongGeneration in ComfyUI?
To install ComfyUI_SongGeneration: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/smthemex/ComfyUI_SongGeneration, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.