ComfyUI-API-DockerCPU

By trustypangolinView on GitHub →

Unified ComfyUI nodes for external API integration (Replicate, Fal.ai, HuggingFace)

How much VRAM does ComfyUI-API-DockerCPU require?

Direct Answer: The ComfyUI node ComfyUI-API-DockerCPU 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

What Python packages are required for ComfyUI-API-DockerCPU?

Direct Answer: Running ComfyUI-API-DockerCPU requires installing the following Python package dependencies: fal-client>=0.5.0, huggingface_hub>=0.20.0, piexif>=1.1.3, pillow>=9.0.0, pytest>=7.0.0, pytest-cov>=4.0.0, pyyaml>=6.0, replicate>=1.0.7, requests>=2.31.0, soundfile>=0.12.0. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
fal-client>=0.5.0
huggingface_hub>=0.20.0
piexif>=1.1.3
pillow>=9.0.0
pytest>=7.0.0
pytest-cov>=4.0.0
pyyaml>=6.0
replicate>=1.0.7
requests>=2.31.0
soundfile>=0.12.0

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:

ACE-Step-ComfyUI
by ace-step1.5GB VRAM
ComfyUI-AudioLDM
by sanbuphy1.5GB VRAM
ComfyUI-AudioReactive
by dmarx1.5GB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-API-DockerCPU require?

ComfyUI-API-DockerCPU 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-API-DockerCPU 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 ComfyUI-API-DockerCPU?

To run ComfyUI-API-DockerCPU, you need to install: fal-client>=0.5.0, huggingface_hub>=0.20.0, piexif>=1.1.3, pillow>=9.0.0, pytest>=7.0.0, pytest-cov>=4.0.0, pyyaml>=6.0, replicate>=1.0.7, requests>=2.31.0, soundfile>=0.12.0. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI-API-DockerCPU?

ComfyUI-API-DockerCPU 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-API-DockerCPU in ComfyUI?

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