comfyui-smooth-step-lora-loader

By neph1View on GitHub →

This custom node provides a smooth step function that normalizes LoRA values by enhancing elements above the mean while reducing those below it. Users can independently control both the LoRA strength and smooth step intensity to fine-tune their results, though the effectiveness may vary between different seeds and LoRA types.

How much VRAM does comfyui-smooth-step-lora-loader require?

Direct Answer: The ComfyUI node comfyui-smooth-step-lora-loader 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-MaskMorph
by TheArtOfficial128MB VRAM
ComfyUI_pose_inter
by fssorc2.0GB VRAM
GradientBlurNode for ComfyUI
by badxprogramm256MB VRAM
Negative Rejection Steering
by Reithan128MB VRAM
ComfyUI-Light-N-Color
by KAVVATARE128MB VRAM

Frequently Asked Questions

How much VRAM does comfyui-smooth-step-lora-loader require?

comfyui-smooth-step-lora-loader 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-smooth-step-lora-loader 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-smooth-step-lora-loader?

comfyui-smooth-step-lora-loader 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-smooth-step-lora-loader in ComfyUI?

To install comfyui-smooth-step-lora-loader: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/neph1/comfyui-smooth-step-lora-loader, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.