CryptoNoise-Ksampler

By Shadowwalker0PView on GitHub →

Drop-in replacement for ComfyUI's standard KSampler that embeds cryptographic proof of authorship directly into generated images through deterministic noise injection into the latent representation.

VRAM Requirements

Direct Answer: The ComfyUI node CryptoNoise-Ksampler 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.

High (2-4GB)
Base VRAM:
128MB (0.1GB)
Recommended GPU:
4GB+ 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!

Deploy on High-Performance GPUs

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🚀 Deploy on Vast.ai

Deploy on Cloud GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.

🚀 Deploy on RunPod

Python Dependencies

Direct Answer: Running CryptoNoise-Ksampler requires installing the following Python package dependencies: bandit>=1.7.5,<2.0.0, black>=23.9.0,<24.0.0, coverage>=7.2.0,<8.0.0, flake8>=6.0.0,<7.0.0, mypy>=1.5.0,<2.0.0, numpy>=1.24.0,<2.0.0, pre-commit>=3.3.0,<4.0.0, pytest>=7.4.0,<8.0.0, pytest-cov>=4.1.0,<5.0.0, torch>=2.0.0,<3.0.0. This node specifically requires PyTorch version 2.0.0 or newer.

requirements.txt
bandit>=1.7.5,<2.0.0
black>=23.9.0,<24.0.0
coverage>=7.2.0,<8.0.0
flake8>=6.0.0,<7.0.0
mypy>=1.5.0,<2.0.0
numpy>=1.24.0,<2.0.0
pre-commit>=3.3.0,<4.0.0
pytest>=7.4.0,<8.0.0
pytest-cov>=4.1.0,<5.0.0
torch>=2.0.0,<3.0.0

🛠️ 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...