ComfyUI Razv WaveSpeed Nodes

By razvanmatei-sfView on GitHub →

Custom ComfyUI nodes for integrating WaveSpeed AI API for image and video generation.

How much VRAM does ComfyUI Razv WaveSpeed Nodes require?

Direct Answer: The ComfyUI node ComfyUI Razv WaveSpeed Nodes 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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What Python packages are required for ComfyUI Razv WaveSpeed Nodes?

Direct Answer: Running ComfyUI Razv WaveSpeed Nodes requires installing the following Python package dependencies: numpy<2.0.0, pillow, requests, torch. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
numpy<2.0.0
pillow
requests
torch

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 ComfyUI Razv WaveSpeed Nodes require?

ComfyUI Razv WaveSpeed Nodes 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 Razv WaveSpeed Nodes 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 Razv WaveSpeed Nodes need?

ComfyUI Razv WaveSpeed Nodes requires the following PyTorch-related packages: torch. 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 Razv WaveSpeed Nodes?

To run ComfyUI Razv WaveSpeed Nodes, you need to install: numpy<2.0.0, pillow, requests, torch. You can install these using pip or add them to your requirements.txt file.

How do I install ComfyUI Razv WaveSpeed Nodes in ComfyUI?

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