MTB Nodes

By melMassView on GitHub →

NODES: Face Swap, Film Interpolation, Latent Lerp, Int To Number, Bounding Box, Crop, Uncrop, ImageBlur, Denoise, ImageCompare, RGV to HSV, HSV to RGB, Color Correct, Modulo, Deglaze Image, Smart Step, ...

How much VRAM does MTB Nodes require?

Direct Answer: The ComfyUI node MTB Nodes 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!

Deploy on High-Performance GPUs

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Deploy on Cloud GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.

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What Python packages are required for MTB Nodes?

Direct Answer: Running MTB Nodes requires installing the following Python package dependencies: cachetools, imageio_ffmpeg, matplotlib, onnxruntime-gpu, pillow, qrcode, rembg, requirements-parser, rich, rich_argparse, transformers. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
cachetools
imageio_ffmpeg
matplotlib
onnxruntime-gpu
pillow
qrcode
rembg
requirements-parser
rich
rich_argparse
transformers

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:

CSV Wildcard Node for ComfyUI
by illuminatianon256MB VRAM
Camera Movement to Prompt
by lil0k256MB VRAM
ComfyUI FlexAI Nodes
by semonxue256MB VRAM
ComfyUI Kontext Duo Image Analyzer
by yamanacn256MB VRAM
ComfyUI Mask Contour Processor
by codeprimate256MB VRAM

Frequently Asked Questions

How much VRAM does MTB Nodes require?

MTB Nodes 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 MTB Nodes 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 Python packages are required for MTB Nodes?

To run MTB Nodes, you need to install: cachetools, imageio_ffmpeg, matplotlib, onnxruntime-gpu, pillow, qrcode, rembg, requirements-parser, rich, rich_argparse, transformers. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running MTB Nodes?

MTB Nodes 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 MTB Nodes in ComfyUI?

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