wavespeed-comfyui

By WaveSpeedAIView on GitHub →

This is a custom node for ComfyUI that allows you to use the WaveSpeed AI API directly in ComfyUI. WaveSpeed AI is a high-performance AI image and video generation service platform offering industry-leading generation speeds. For more information, see [a/WaveSpeed AI Documentation](https://wavespeed.ai/docs).

How much VRAM does wavespeed-comfyui require?

Direct Answer: The ComfyUI node wavespeed-comfyui 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!

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Deploy on Cloud GPUs

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What Python packages are required for wavespeed-comfyui?

Direct Answer: Running wavespeed-comfyui requires installing the following Python package dependencies: av, opencv-python, pillow, pydantic, requests, scipy, torchaudio. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
av
opencv-python
pillow
pydantic
requests
scipy
torchaudio

Interactive Setup & Dependency Resolver

Operating System:
Environment Type:
Run this terminal command in your ComfyUI root folder:
# Loading command...

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Frequently Asked Questions

How much VRAM does wavespeed-comfyui require?

wavespeed-comfyui 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 wavespeed-comfyui 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 wavespeed-comfyui need?

wavespeed-comfyui requires the following PyTorch-related packages: torchaudio. 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 wavespeed-comfyui?

To run wavespeed-comfyui, you need to install: av, opencv-python, pillow, pydantic, requests, scipy, torchaudio. You can install these using pip or add them to your requirements.txt file.

How do I install wavespeed-comfyui in ComfyUI?

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