ComfyUI-Topaz-Upscaler

By comrenderView on GitHub →

A custom node for ComfyUI that integrates the Topaz Labs API for AI-powered image upscaling and enhancement.

How much VRAM does ComfyUI-Topaz-Upscaler require?

Direct Answer: The ComfyUI node ComfyUI-Topaz-Upscaler requires a minimum base VRAM of 3072MB and is optimized for GPUs with at least 8GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.

Very High (4-8GB)
Base VRAM:
3072MB (3.0GB)
Recommended GPU:
8GB+ 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-Topaz-Upscaler?

Direct Answer: Running ComfyUI-Topaz-Upscaler requires installing the following Python package dependencies: numpy, pillow>=9.0.0, requests>=2.28.0, torch. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
numpy
pillow>=9.0.0
requests>=2.28.0
torch

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:

ComfyUI-NanoSeed
by comrender256MB VRAM
Capitan-ConditioningEnhancer
by capitan01R128MB VRAM
Comfy-Topaz
by choey3.0GB VRAM
ComfyUI AF - Enhanced-HTML-Note
by alFrame128MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-Topaz-Upscaler require?

ComfyUI-Topaz-Upscaler requires a minimum of 3072MB (3.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 8GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.

Can I run ComfyUI-Topaz-Upscaler on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 7.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 7.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 11.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 18.6GB headroom

What PyTorch version does ComfyUI-Topaz-Upscaler need?

ComfyUI-Topaz-Upscaler 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-Topaz-Upscaler?

To run ComfyUI-Topaz-Upscaler, you need to install: numpy, pillow>=9.0.0, requests>=2.28.0, torch. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI-Topaz-Upscaler?

ComfyUI-Topaz-Upscaler 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-Topaz-Upscaler in ComfyUI?

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