CryptoNoise-Ksampler
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.
- 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!
Deploy on High-Performance GPUs
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Deploy on Cloud GPUs
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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.
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
# Loading command...⚠️ Special Environment Requirements:
Requires PyTorch version 2.0.0+.
# Loading PyTorch command...