ComfyUI Silver Nodes

By SilverAndJadeView on GitHub →

A collection of utility nodes for ComfyUI that enhance workflow capabilities with advanced loaders and processing tools.

How much VRAM does ComfyUI Silver Nodes require?

Direct Answer: The ComfyUI node ComfyUI Silver Nodes requires a minimum base VRAM of 256MB and is optimized for GPUs with at least 4GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.

High (2-4GB)
Base VRAM:
256MB (0.3GB)
Recommended GPU:
4GB+ VRAM
Low VRAM Mode:
✓ Supported
Estimation Confidence:
HIGH

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 ComfyUI Silver Nodes?

Direct Answer: Running ComfyUI Silver Nodes requires installing the following Python package dependencies: beautifulsoup4>=4.11.1 # For web scraping and HTML parsing, ffmpeg-python>=0.2.0 # For audio processing with ffmpeg, moviepy>=1.0.3 # For video and audio processing, numpy>=1.21.0 # For numerical operations, opencv-python-headless>=4.5.0 # For image/video processing, pillow>=9.0.0 # For image processing, requests>=2.28.1 # For HTTP requests, torch>=1.9.0 # PyTorch for deep learning, urllib3>=1.26.9 # For URL handling. This node specifically requires PyTorch version 1.9.0 or newer.

requirements.txt
beautifulsoup4>=4.11.1  # For web scraping and HTML parsing
ffmpeg-python>=0.2.0    # For audio processing with ffmpeg
moviepy>=1.0.3          # For video and audio processing
numpy>=1.21.0           # For numerical operations
opencv-python-headless>=4.5.0  # For image/video processing
pillow>=9.0.0           # For image processing
requests>=2.28.1        # For HTTP requests
torch>=1.9.0            # PyTorch for deep learning
urllib3>=1.26.9         # For URL handling

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 1.9.0+.

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:

Enhanced Image Composite Masked
by darkamenosa128MB VRAM
Eric_Image_Processing_Nodes
by EricRollei128MB VRAM
SeedVR2 Tiling Upscaler
by moonwhaler3.0GB VRAM
Augment — Design Nodes for ComfyUI
by augment-lib256MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI Silver Nodes require?

ComfyUI Silver Nodes requires a minimum of 256MB (0.3GB) 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 Silver Nodes on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.2GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.4GB headroom

What PyTorch version does ComfyUI Silver Nodes need?

ComfyUI Silver Nodes requires the following PyTorch-related packages: torch>=1.9.0 # PyTorch for deep learning. 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 Silver Nodes?

To run ComfyUI Silver Nodes, you need to install: beautifulsoup4>=4.11.1 # For web scraping and HTML parsing, ffmpeg-python>=0.2.0 # For audio processing with ffmpeg, moviepy>=1.0.3 # For video and audio processing, numpy>=1.21.0 # For numerical operations, opencv-python-headless>=4.5.0 # For image/video processing, pillow>=9.0.0 # For image processing, requests>=2.28.1 # For HTTP requests, torch>=1.9.0 # PyTorch for deep learning, urllib3>=1.26.9 # For URL handling. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI Silver Nodes?

ComfyUI Silver 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 ComfyUI Silver Nodes in ComfyUI?

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