Comfyui_Attome_S3

By attome-aiView on GitHub →

Custom nodes for ComfyUI enabling seamless loading and saving of media files (images, videos, audio, text) directly from/to AWS S3 or S3-compatible storage services.

How much VRAM does Comfyui_Attome_S3 require?

Direct Answer: The ComfyUI node Comfyui_Attome_S3 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

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

What Python packages are required for Comfyui_Attome_S3?

Direct Answer: Running Comfyui_Attome_S3 requires installing the following Python package dependencies: boto3>=1.26.0, numpy>=1.21.0, opencv-python>=4.5.0, pillow>=9.0.0, torch>=1.12.0, torchaudio>=0.12.0. This node specifically requires PyTorch version 1.12.0 or newer.

requirements.txt
boto3>=1.26.0
numpy>=1.21.0
opencv-python>=4.5.0
pillow>=9.0.0
torch>=1.12.0
torchaudio>=0.12.0

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...

Related Custom Nodes

The following custom nodes run in the same PyTorch / CUDA environment and share similar categories or workflows:

ComfyUI Remote Workflow Executor
by Pondowner8574.0GB VRAM
Arctenoxs-Essentials_ComfyUI
by Arctenox256MB VRAM
ComfyUI-Index-TTS
by chenpipi0807256MB VRAM

Frequently Asked Questions

How much VRAM does Comfyui_Attome_S3 require?

Comfyui_Attome_S3 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 Comfyui_Attome_S3 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 Comfyui_Attome_S3 need?

Comfyui_Attome_S3 requires the following PyTorch-related packages: torch>=1.12.0, torchaudio>=0.12.0. 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_Attome_S3?

To run Comfyui_Attome_S3, you need to install: boto3>=1.26.0, numpy>=1.21.0, opencv-python>=4.5.0, pillow>=9.0.0, torch>=1.12.0, torchaudio>=0.12.0. You can install these using pip or add them to your requirements.txt file.

How do I install Comfyui_Attome_S3 in ComfyUI?

To install Comfyui_Attome_S3: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/attome-ai/Comfyui_Attome_S3, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.