ComfyUI-RWImageS3

By lakkiyView on GitHub →

A powerful ComfyUI extension that enables seamless integration with AWS S3 storage for reading and saving images directly within your ComfyUI workflows. This extension eliminates the need for manual file transfers by providing direct S3 connectivity for your image processing pipelines.

How much VRAM does ComfyUI-RWImageS3 require?

Direct Answer: The ComfyUI node ComfyUI-RWImageS3 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!

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Deploy on Cloud GPUs

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What Python packages are required for ComfyUI-RWImageS3?

Direct Answer: Running ComfyUI-RWImageS3 requires installing the following Python package dependencies: boto3, numpy, pillow, pillow-heif, python-dotenv, torch. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
boto3
numpy
pillow
pillow-heif
python-dotenv
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:

A3D ComfyUI Integration
by n0neye256MB VRAM
AC ComfyUI Queue Manager
by abdullahceylan256MB VRAM
ACE-Step-ComfyUI
by ace-step1.5GB VRAM
AIV ComfyUI Node
by bbtaivi128MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-RWImageS3 require?

ComfyUI-RWImageS3 requires a minimum of 128MB (0.1GB) 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 ComfyUI-RWImageS3 on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.3GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.5GB headroom

What PyTorch version does ComfyUI-RWImageS3 need?

ComfyUI-RWImageS3 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-RWImageS3?

To run ComfyUI-RWImageS3, you need to install: boto3, numpy, pillow, pillow-heif, python-dotenv, torch. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI-RWImageS3?

ComfyUI-RWImageS3 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-RWImageS3 in ComfyUI?

To install ComfyUI-RWImageS3: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/lakkiy/ComfyUI-RWImageS3, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.