comfyui-inputswitch

By bmgjetView on GitHub →

A custom node collection for ComfyUI designed to handle advanced media operations including switching between image and video inputs, face swapping, color matching, and video frame interpolation.

How much VRAM does comfyui-inputswitch require?

Direct Answer: The ComfyUI node comfyui-inputswitch requires a minimum base VRAM of 4096MB and is optimized for GPUs with at least 8GB of VRAM. Low VRAM mode is not supported for this node.

Very High (4-8GB)
Base VRAM:
4096MB (4.0GB)
Recommended GPU:
8GB+ VRAM
Low VRAM Mode:
✗ Not 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!

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-inputswitch?

Direct Answer: Running comfyui-inputswitch requires installing the following Python package dependencies: cython, kornia, meson-python, onnxruntime-gpu>=1.23.2, opencv-python, packaging, requests, torch==2.9.1. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
cython
kornia
meson-python
onnxruntime-gpu>=1.23.2
opencv-python
packaging
requests
torch==2.9.1

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:

Animated Mask Editor
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ComfyBreakAnim
by LonicaMewinsky4.0GB VRAM
ComfyTimeline
by FemtoStudio4.0GB VRAM
ComfyUI ASCII Art Nodes
by LamEmil4.0GB VRAM
ComfyUI Brightwire Tools
by doctomiko4.0GB VRAM

Frequently Asked Questions

How much VRAM does comfyui-inputswitch require?

comfyui-inputswitch requires a minimum of 4096MB (4.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 8GB of VRAM is recommended. Low VRAM mode is not supported for this node.

Can I run comfyui-inputswitch on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 10.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 17.6GB headroom

What PyTorch version does comfyui-inputswitch need?

comfyui-inputswitch requires the following PyTorch-related packages: torch==2.9.1. 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-inputswitch?

To run comfyui-inputswitch, you need to install: cython, kornia, meson-python, onnxruntime-gpu>=1.23.2, opencv-python, packaging, requests, torch==2.9.1. You can install these using pip or add them to your requirements.txt file.

How do I install comfyui-inputswitch in ComfyUI?

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