SF ComfyUI Nodes

By StillfrontView on GitHub →

Custom nodes for ComfyUI including LLM Chat (Claude, Gemini, GPT), WaveSpeed AI image and video generation, VertexAI integration, and workflow utilities.

How much VRAM does SF ComfyUI Nodes require?

Direct Answer: The ComfyUI node SF ComfyUI Nodes 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 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 SF ComfyUI Nodes?

Direct Answer: Running SF ComfyUI Nodes requires installing the following Python package dependencies: google-cloud-storage>=2.0.0, google-genai>=1.0.0, numpy<2.0.0, pillow>=10.0.0, pydantic>=2.0.0, requests>=2.31.0, torch. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
google-cloud-storage>=2.0.0
google-genai>=1.0.0
numpy<2.0.0
pillow>=10.0.0
pydantic>=2.0.0
requests>=2.31.0
torch

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:

AUN ComfyUI Nodes
by loz27544.0GB VRAM
Advanced CLIP Text Encode
by BlenderNeko256MB VRAM
AniTalker-ComfyUI
by AIFSH128MB VRAM
AntiMatter Nodes
by AntiMatterComfy4.0GB VRAM
Arctenoxs-Essentials_ComfyUI
by Arctenox256MB VRAM

Frequently Asked Questions

How much VRAM does SF ComfyUI Nodes require?

SF ComfyUI Nodes 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 SF ComfyUI Nodes 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 SF ComfyUI Nodes need?

SF ComfyUI 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 SF ComfyUI Nodes?

To run SF ComfyUI Nodes, you need to install: google-cloud-storage>=2.0.0, google-genai>=1.0.0, numpy<2.0.0, pillow>=10.0.0, pydantic>=2.0.0, requests>=2.31.0, torch. You can install these using pip or add them to your requirements.txt file.

How do I install SF ComfyUI Nodes in ComfyUI?

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