ComfyUI HTTP - REST API Nodes

By wawahuyView on GitHub →

Powerful REST API nodes for ComfyUI that enable seamless HTTP/REST integration into your workflows.

How much VRAM does ComfyUI HTTP - REST API Nodes require?

Direct Answer: The ComfyUI node ComfyUI HTTP - REST API Nodes 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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What Python packages are required for ComfyUI HTTP - REST API Nodes?

Direct Answer: Running ComfyUI HTTP - REST API Nodes requires installing the following Python package dependencies: aiohttp>=3.8.0, cachetools>=5.0.0, jsonpath-ng>=1.5.0, jsonschema>=4.0.0, numpy>=1.19.0, pillow>=8.0.0, requests>=2.25.0, torch>=1.9.0. This node specifically requires PyTorch version 1.9.0 or newer.

requirements.txt
aiohttp>=3.8.0
cachetools>=5.0.0
jsonpath-ng>=1.5.0
jsonschema>=4.0.0
numpy>=1.19.0
pillow>=8.0.0
requests>=2.25.0
torch>=1.9.0

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 1.9.0+.

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 API Image Edit
by aiaiaikkk128MB VRAM
ComfyUI ASDF Pixel Sort Nodes
by A043-studios128MB VRAM
ComfyUI Load Image From URL
by papcorns128MB VRAM
ComfyUI Seed API Integration
by FloyoAI4.0GB VRAM
ComfyUI Substance Designer Integration Plugin
by jasonjgardner128MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI HTTP - REST API Nodes require?

ComfyUI HTTP - REST API Nodes 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 HTTP - REST API Nodes 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 HTTP - REST API Nodes need?

ComfyUI HTTP - REST API Nodes requires the following PyTorch-related packages: torch>=1.9.0. 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 HTTP - REST API Nodes?

To run ComfyUI HTTP - REST API Nodes, you need to install: aiohttp>=3.8.0, cachetools>=5.0.0, jsonpath-ng>=1.5.0, jsonschema>=4.0.0, numpy>=1.19.0, pillow>=8.0.0, requests>=2.25.0, torch>=1.9.0. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI HTTP - REST API Nodes?

ComfyUI HTTP - REST API 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 HTTP - REST API Nodes in ComfyUI?

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