Divergent Nodes

By thedivergentaiView on GitHub →

This repository contains a collection of custom nodes for ComfyUI designed to integrate external AI models, provide utilities, and enable advanced workflows.

How much VRAM does Divergent Nodes require?

Direct Answer: The ComfyUI node Divergent Nodes requires a minimum base VRAM of 256MB 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:
256MB (0.3GB)
Recommended GPU:
4GB+ VRAM
Low VRAM Mode:
✓ 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!

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Deploy on Cloud GPUs

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What Python packages are required for Divergent Nodes?

Direct Answer: Running Divergent Nodes requires installing the following Python package dependencies: colorama, google-api-core, google-genai, huggingface_hub, pillow, python-dotenv, requests, tensorflow, tensorflow-hub, torch, transformers. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
colorama
google-api-core
google-genai
huggingface_hub
pillow
python-dotenv
requests
tensorflow
tensorflow-hub
torch
transformers

Interactive Setup & Dependency Resolver

Operating System:
Environment Type:
Run this terminal command in your ComfyUI root folder:
# Loading command...

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Frequently Asked Questions

How much VRAM does Divergent Nodes require?

Divergent Nodes requires a minimum of 256MB (0.3GB) 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 Divergent Nodes on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.2GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.4GB headroom

What PyTorch version does Divergent Nodes need?

Divergent Nodes requires the following PyTorch-related packages: torch. 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 Divergent Nodes?

To run Divergent Nodes, you need to install: colorama, google-api-core, google-genai, huggingface_hub, pillow, python-dotenv, requests, tensorflow, tensorflow-hub, torch, transformers. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running Divergent Nodes?

Divergent 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 Divergent Nodes in ComfyUI?

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