comfyui_ab_sampler

By bmad4everView on GitHub →

Experimental sampler node. Sampling alternates between A and B inputs until only one remains, starting with A. B steps run over a 2x2 grid, where 3/4's of the grid are copies of the original input latent. When the optional mask is used, the region outside the defined roi is copied from the original latent at the end of every step.

How much VRAM does comfyui_ab_sampler require?

Direct Answer: The ComfyUI node comfyui_ab_sampler 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!

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Related Custom Nodes

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

ComfyUI - DGLS (Dynamic GPU Layer Swapping)
by obisin128MB VRAM
ComfyUI Checkpoint Rotation Node
by trunksn1128MB VRAM
ComfyUI PS Connector
by doubley2000128MB VRAM
ComfyUI-PanoCard
by Gue-e256MB VRAM
ComfyUI-ZImage-Bake-Extract
by GraftingRayman128MB VRAM

Frequently Asked Questions

How much VRAM does comfyui_ab_sampler require?

comfyui_ab_sampler requires a minimum of 128MB (0.1GB) 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_ab_sampler on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.3GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.5GB headroom

How can I reduce VRAM usage when running comfyui_ab_sampler?

comfyui_ab_sampler 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_ab_sampler in ComfyUI?

To install comfyui_ab_sampler: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/bmad4ever/comfyui_ab_samplercustom, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.