JK AceStep Nodes

By jeankassioView on GitHub →

Advanced nodes optimized for ACE-Step audio generation in ComfyUI.

How much VRAM does JK AceStep Nodes require?

Direct Answer: The ComfyUI node JK AceStep Nodes 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.

High (2-4GB)
Base VRAM:
1536MB (1.5GB)
Recommended GPU:
6GB+ VRAM
Low VRAM Mode:
✓ Supported
Estimation Confidence:
MEDIUM

Interactive VRAM Compatibility Estimator

Estimated Total VRAM: 3.00 GBTarget: 8 GB
✅ Comfortable Fit

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 JK AceStep Nodes?

Direct Answer: Running JK AceStep Nodes requires installing the following Python package dependencies: librosa>=0.10.0, numpy>=1.24.0, torch>=2.0.0, tqdm>=4.65.0. This node specifically requires PyTorch version 2.0.0 or newer.

requirements.txt
librosa>=0.10.0
numpy>=1.24.0
torch>=2.0.0
tqdm>=4.65.0

Interactive Setup & Dependency Resolver

Operating System:
Environment Type:
Run this terminal command in your ComfyUI root folder:
# Loading command...

Special Environment Requirements:

Requires PyTorch version 2.0.0+.

To update PyTorch for your selected setup, run:
# Loading PyTorch command...

Related Custom Nodes

The following custom nodes run in the same PyTorch / CUDA environment and share similar categories or workflows:

ComfyUI_MusicTools
by jeankassio1.5GB VRAM
AudioSR
by Saganaki223.0GB VRAM
ComfyUI DMOSpeech2 Node
by HM-RunningHub128MB VRAM
ComfyUI Neural Network Toolkit NNT
by inventorado256MB VRAM
ComfyUI WhisperX Pro
by loockluo1.5GB VRAM

Frequently Asked Questions

How much VRAM does JK AceStep Nodes require?

JK AceStep Nodes 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 JK AceStep Nodes 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 JK AceStep Nodes need?

JK AceStep Nodes requires the following PyTorch-related packages: torch>=2.0.0. 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 JK AceStep Nodes?

To run JK AceStep Nodes, you need to install: librosa>=0.10.0, numpy>=1.24.0, torch>=2.0.0, tqdm>=4.65.0. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running JK AceStep Nodes?

JK AceStep Nodes 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 JK AceStep Nodes in ComfyUI?

To install JK AceStep Nodes: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/jeankassio/JK-AceStep-Nodes, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.