KarmaNodes

Name: KarmaNodes
Author: KarmaSwint

Custom cycling KSampler with progressive upscale and more. Professional post-processing nodes.

VRAM Requirements

Direct Answer: The ComfyUI node KarmaNodes requires a minimum base VRAM of 3072MB and is optimized for GPUs with at least 8GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.

Very High (4-8GB)

Base VRAM:: 3072MB (3.0GB)
Recommended GPU:: 8GB+ VRAM
Low VRAM Mode:: ✓ Supported
Estimation Confidence:: MEDIUM

🧮 Interactive VRAM Compatibility Estimator

1. Your GPU VRAM:

2. Base Model Weight:

3. Target Resolution:

4. ComfyUI Optimization launch argument:

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

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

🚀 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 KarmaNodes requires installing the following Python package dependencies: numpy>=1.21.0, pillow>=9.0.0, scikit-image>=0.19.0, scipy>=1.9.0, torch>=2.0.0. This node specifically requires PyTorch version 2.0.0 or newer.

requirements.txt

numpy>=1.21.0
pillow>=9.0.0
scikit-image>=0.19.0
scipy>=1.9.0
torch>=2.0.0

🛠️ 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...