ComfyUI_DiffRhythm_MW
Blazingly Fast and Embarrassingly Simple End-to-End Full-Length Song Generation. A node for ComfyUI.
How much VRAM does ComfyUI_DiffRhythm_MW require?
Direct Answer: The ComfyUI node ComfyUI_DiffRhythm_MW 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_DiffRhythm_MW?
Direct Answer: Running ComfyUI_DiffRhythm_MW requires installing the following Python package dependencies: accelerate, bitsandbytes, cn2an, easydict, ema-pytorch, hydra-core, inflect, jieba, librosa>=0.10.2.post1, muq, mutagen, omegaconf, onnxruntime, pandas, phonemizer, prefigure, py3langid, pyarrow, pykakasi, pylance, pyopenjtalk, pypinyin, torchdiffeq, transformers>=4.49.0, unidecode, x-transformers. Ensure your ComfyUI environment has these packages active before launching.
accelerate
bitsandbytes
cn2an
easydict
ema-pytorch
hydra-core
inflect
jieba
librosa>=0.10.2.post1
muq
mutagen
omegaconf
onnxruntime
pandas
phonemizer
prefigure
py3langid
pyarrow
pykakasi
pylance
pyopenjtalk
pypinyin
torchdiffeq
transformers>=4.49.0
unidecode
x-transformersInteractive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI_DiffRhythm_MW require?
ComfyUI_DiffRhythm_MW 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_DiffRhythm_MW 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_DiffRhythm_MW need?
ComfyUI_DiffRhythm_MW requires the following PyTorch-related packages: ema-pytorch, torchdiffeq. 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_DiffRhythm_MW?
To run ComfyUI_DiffRhythm_MW, you need to install: accelerate, bitsandbytes, cn2an, easydict, ema-pytorch, hydra-core, inflect, jieba, librosa>=0.10.2.post1, muq, mutagen, omegaconf, onnxruntime, pandas, phonemizer, prefigure, py3langid, pyarrow, pykakasi, pylance, pyopenjtalk, pypinyin, torchdiffeq, transformers>=4.49.0, unidecode, 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_DiffRhythm_MW?
ComfyUI_DiffRhythm_MW 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_DiffRhythm_MW in ComfyUI?
To install ComfyUI_DiffRhythm_MW: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/billwuhao/ComfyUI_DiffRhythm, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.