ComfyUI DMOSpeech2 Node
This is a Seed-X-PPO-7B ComfyUI plugin. Easy to use
How much VRAM does ComfyUI DMOSpeech2 Node require?
Direct Answer: The ComfyUI node ComfyUI DMOSpeech2 Node 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 DMOSpeech2 Node?
Direct Answer: Running ComfyUI DMOSpeech2 Node requires installing the following Python package dependencies: accelerate>=0.33.0, bitsandbytes>0.37.0, cached_path, click, datasets, ema_pytorch>=0.5.2, gradio>=3.45.2, hydra-core>=1.3.0, jieba, librosa, matplotlib, numpy<=1.26.4, pydantic<=2.10.6, pydub, pypinyin, safetensors, soundfile, tomli, torch>=2.0.0, torchaudio>=2.0.0, torchdiffeq, tqdm>=4.65.0, transformers, transformers_stream_generator, unidecode, vocos, wandb, x_transformers>=1.31.14. This node specifically requires PyTorch version 2.0.0 or newer.
accelerate>=0.33.0
bitsandbytes>0.37.0
cached_path
click
datasets
ema_pytorch>=0.5.2
gradio>=3.45.2
hydra-core>=1.3.0
jieba
librosa
matplotlib
numpy<=1.26.4
pydantic<=2.10.6
pydub
pypinyin
safetensors
soundfile
tomli
torch>=2.0.0
torchaudio>=2.0.0
torchdiffeq
tqdm>=4.65.0
transformers
transformers_stream_generator
unidecode
vocos
wandb
x_transformers>=1.31.14Interactive 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 DMOSpeech2 Node require?
ComfyUI DMOSpeech2 Node 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 DMOSpeech2 Node 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 DMOSpeech2 Node need?
ComfyUI DMOSpeech2 Node requires the following PyTorch-related packages: ema_pytorch>=0.5.2, torch>=2.0.0, torchaudio>=2.0.0, 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 DMOSpeech2 Node?
To run ComfyUI DMOSpeech2 Node, you need to install: accelerate>=0.33.0, bitsandbytes>0.37.0, cached_path, click, datasets, ema_pytorch>=0.5.2, gradio>=3.45.2, hydra-core>=1.3.0, jieba, librosa, matplotlib, numpy<=1.26.4, pydantic<=2.10.6, pydub, pypinyin, safetensors, soundfile, tomli, torch>=2.0.0, torchaudio>=2.0.0, torchdiffeq, tqdm>=4.65.0, transformers, transformers_stream_generator, unidecode, vocos, wandb, x_transformers>=1.31.14. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI DMOSpeech2 Node?
ComfyUI DMOSpeech2 Node 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 DMOSpeech2 Node in ComfyUI?
To install ComfyUI DMOSpeech2 Node: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/HM-RunningHub/ComfyUI_RH_DMOSpeech2, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.