comfyui-superside-nodes

By SupersideView on GitHub →

Custom ComfyUI nodes wrapping fal.ai models for image editing, image-to-video, upscaling, vision/language, and region selection - built for Superside production workflows.

How much VRAM does comfyui-superside-nodes require?

Direct Answer: The ComfyUI node comfyui-superside-nodes requires a minimum base VRAM of 3072MB and is optimized for GPUs with at least 8GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.

Very High (4-8GB)
Base VRAM:
3072MB (3.0GB)
Recommended GPU:
8GB+ 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 Vast.ai

Deploy on Cloud GPUs

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🚀 Deploy on RunPod

What Python packages are required for comfyui-superside-nodes?

Direct Answer: Running comfyui-superside-nodes requires installing the following Python package dependencies: fal-client>=1.0.0, numpy, pillow, requests, torch. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
fal-client>=1.0.0
numpy
pillow
requests
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 comfyui-superside-nodes require?

comfyui-superside-nodes requires a minimum of 3072MB (3.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 8GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.

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

✅ RTX 3060 (12GB): Yes, fully compatible with 7.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 7.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 11.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 18.6GB headroom

What PyTorch version does comfyui-superside-nodes need?

comfyui-superside-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 comfyui-superside-nodes?

To run comfyui-superside-nodes, you need to install: fal-client>=1.0.0, numpy, pillow, requests, torch. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running comfyui-superside-nodes?

comfyui-superside-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 comfyui-superside-nodes in ComfyUI?

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