Amazon Bedrock nodes for ComfyUI

By yytdfcView on GitHub →

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies. This repo is the ComfyUI nodes for Bedrock service. You could invoke the foundation model in your ComfyUI pipeline.

How much VRAM does Amazon Bedrock nodes for ComfyUI require?

Direct Answer: The ComfyUI node Amazon Bedrock nodes for ComfyUI 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

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Deploy on Cloud GPUs

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What Python packages are required for Amazon Bedrock nodes for ComfyUI?

Direct Answer: Running Amazon Bedrock nodes for ComfyUI requires installing the following Python package dependencies: boto3, requests, retry. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
boto3
requests
retry

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:

AC ComfyUI Queue Manager
by abdullahceylan256MB VRAM
Advanced Model Manager
by BISAM20256MB VRAM
Anomalous Model Browser
by DemonGatanjieu128MB VRAM
Better-Gemini
by ttulttul128MB VRAM

Frequently Asked Questions

How much VRAM does Amazon Bedrock nodes for ComfyUI require?

Amazon Bedrock nodes for ComfyUI 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 Amazon Bedrock nodes for ComfyUI 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 Python packages are required for Amazon Bedrock nodes for ComfyUI?

To run Amazon Bedrock nodes for ComfyUI, you need to install: boto3, requests, retry. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running Amazon Bedrock nodes for ComfyUI?

Amazon Bedrock nodes for ComfyUI 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 Amazon Bedrock nodes for ComfyUI in ComfyUI?

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