ComfyUI S3 Save Node

By georgitsenovView on GitHub →

A custom ComfyUI node for saving generated images directly to Cloudflare R2 (or S3-compatible) buckets using boto3, with secure random filename generation and public URL return.

VRAM Requirements

Direct Answer: The ComfyUI node ComfyUI S3 Save Node requires a minimum base VRAM of 128MB 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:
128MB (0.1GB)
Recommended GPU:
4GB+ 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

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

🚀 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

Python Dependencies

Direct Answer: Running ComfyUI S3 Save Node requires installing the following Python package dependencies: boto3>=1.26.0, numpy>=1.21.0, pillow>=9.0.0, requests>=2.28.0, torch>=1.12.0. This node specifically requires PyTorch version 1.12.0 or newer.

requirements.txt
boto3>=1.26.0
numpy>=1.21.0
pillow>=9.0.0
requests>=2.28.0
torch>=1.12.0

🛠️ Interactive Setup & Dependency Resolver

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

⚠️ Special Environment Requirements:

Requires PyTorch version 1.12.0+.

To update PyTorch for your selected setup, run:
# Loading PyTorch command...