ComfyUI Smart Scaler

By Kyron MahanView on GitHub →

A package for intelligent image scaling, aspect ratio adjustments, metadata extraction, and video frame processing for Wan 2.1 vid2vid/img2vid workflows with Pony/SDXL models.

How much VRAM does ComfyUI Smart Scaler require?

Direct Answer: The ComfyUI node ComfyUI Smart Scaler requires a minimum base VRAM of 8192MB and is optimized for GPUs with at least 12GB of VRAM. Low VRAM mode is not supported for this node.

Very High (4-8GB)
Base VRAM:
8192MB (8.0GB)
Recommended GPU:
12GB+ VRAM
Low VRAM Mode:
✗ Not supported
Estimation Confidence:
HIGH

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!

Deploy on High-Performance GPUs

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🚀 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

What Python packages are required for ComfyUI Smart Scaler?

Direct Answer: Running ComfyUI Smart Scaler requires installing the following Python package dependencies: numpy>=1.24.0, pillow>=9.0.0, torch>=2.0.0. This node specifically requires PyTorch version 2.0.0 or newer.

requirements.txt
numpy>=1.24.0
pillow>=9.0.0
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...

Compatible Foundations

This node is verified to support or optimize workflows for the following foundation model families:

⚡ Stable Diffusion XL (SDXL)⚡ Wan 2.1 Video⚡ Pony Diffusion

Related Custom Nodes

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

Kraken Tools
by KrakenUnbound12.0GB VRAM
Universal NN Latent Upscaler for ComfyUI
by DenRakEiw12.0GB VRAM
KANIBUS - Advanced Eye Tracking ControlNet System
by kanibus2.0GB VRAM
Factory Prompt Generator
by HWDigi8.0GB VRAM
Realtime LoRA Trainer
by ShootTheSound12.0GB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI Smart Scaler require?

ComfyUI Smart Scaler requires a minimum of 8192MB (8.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 12GB of VRAM is recommended. Low VRAM mode is not supported for this node.

Can I run ComfyUI Smart Scaler on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 2.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 2.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 6.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 13.6GB headroom

What PyTorch version does ComfyUI Smart Scaler need?

ComfyUI Smart Scaler requires the following PyTorch-related packages: torch>=2.0.0. 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 ComfyUI Smart Scaler?

To run ComfyUI Smart Scaler, you need to install: numpy>=1.24.0, pillow>=9.0.0, torch>=2.0.0. You can install these using pip or add them to your requirements.txt file.

How do I install ComfyUI Smart Scaler in ComfyUI?

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