Audio Batch
Audio batch creation, extraction, information, resample, mono and stereo conversion. Also cut, concatenate, blend (mix) and de/normalize. Join/split channels (stereo). Signal generator (`sine`, `square`, `sawtooth`, `triangle`, `sweep`, `noise`). Musical note to frequency. Audio downloader for quick workflows which downloads its example data.
How much VRAM does Audio Batch require?
Direct Answer: The ComfyUI node Audio Batch requires a minimum base VRAM of 1536MB and is optimized for GPUs with at least 6GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.
- Base VRAM:
- 1536MB (1.5GB)
- Recommended GPU:
- 6GB+ 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 Audio Batch?
Direct Answer: Running Audio Batch requires installing the following Python package dependencies: numpy, seconohe>=1.0.2, torch, torchaudio. Ensure your ComfyUI environment has these packages active before launching.
numpy
seconohe>=1.0.2
torch
torchaudioInteractive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does Audio Batch require?
Audio Batch requires a minimum of 1536MB (1.5GB) of VRAM for base operation. For optimal performance, a GPU with at least 6GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.
Can I run Audio Batch on an RTX 3060, RTX 4070, or RTX 4090?
✅ RTX 3060 (12GB): Yes, fully compatible with 9.3GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 9.3GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 12.9GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 20.1GB headroom
What PyTorch version does Audio Batch need?
Audio Batch requires the following PyTorch-related packages: torch, torchaudio. 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 Audio Batch?
To run Audio Batch, you need to install: numpy, seconohe>=1.0.2, torch, torchaudio. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running Audio Batch?
Audio Batch 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 Audio Batch in ComfyUI?
To install Audio Batch: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/set-soft/ComfyUI-AudioBatch, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.