WAS Affine

By WASasquatchView on GitHub →

Apply AFFINE noise transforms to latent space to improve image quality, especially with light loras.

How much VRAM does WAS Affine require?

Direct Answer: The ComfyUI node WAS Affine requires a minimum base VRAM of 2048MB 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:
2048MB (2.0GB)
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 WAS Affine?

Direct Answer: Running WAS Affine requires installing the following Python package dependencies: matplotlib, numpy, torch. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
matplotlib
numpy
torch

Interactive Setup & Dependency Resolver

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

Related Custom Nodes

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

ComfyUI Preset Merger
by WASasquatch128MB VRAM
PPF_Noise_ComfyUI
by WASasquatch2.0GB VRAM
Power Noise Suite for ComfyUI
by WASasquatch2.0GB VRAM
WAS_Extras
by WASasquatch256MB VRAM
AAA Metadata System
by EricRollei128MB VRAM

Frequently Asked Questions

How much VRAM does WAS Affine require?

WAS Affine requires a minimum of 2048MB (2.0GB) 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 WAS Affine on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 8.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 8.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 12.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 19.6GB headroom

What PyTorch version does WAS Affine need?

WAS Affine requires the following PyTorch-related packages: torch. 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 WAS Affine?

To run WAS Affine, you need to install: matplotlib, numpy, torch. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running WAS Affine?

WAS Affine 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 WAS Affine in ComfyUI?

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