ComfyUI-SUPIR

By kijaiView on GitHub →

Wrapper nodes to use SUPIR upscaling process in ComfyUI

How much VRAM does ComfyUI-SUPIR require?

Direct Answer: The ComfyUI node ComfyUI-SUPIR 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!

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Deploy on Cloud GPUs

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What Python packages are required for ComfyUI-SUPIR?

Direct Answer: Running ComfyUI-SUPIR requires installing the following Python package dependencies: accelerate, omegaconf, open-clip-torch>=2.24.0, pillow>=9.4.0, pytorch-lightning>=2.5.5, transformers>=4.28.1. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
accelerate
omegaconf
open-clip-torch>=2.24.0
pillow>=9.4.0
pytorch-lightning>=2.5.5
transformers>=4.28.1

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 PyramidFlow Wrapper
by kijai128MB VRAM
ComfyUI-HunyuanVideoWrapper
by kijai4.0GB VRAM
ComfyUI-KwaiKolorsWrapper
by kijai256MB VRAM
ComfyUI-LuminaWrapper
by kijai128MB VRAM
ComfyUI-MimicMotionWrapper
by kijai4.0GB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-SUPIR require?

ComfyUI-SUPIR 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-SUPIR 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-SUPIR need?

ComfyUI-SUPIR requires the following PyTorch-related packages: open-clip-torch>=2.24.0, pytorch-lightning>=2.5.5. 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-SUPIR?

To run ComfyUI-SUPIR, you need to install: accelerate, omegaconf, open-clip-torch>=2.24.0, pillow>=9.4.0, pytorch-lightning>=2.5.5, transformers>=4.28.1. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI-SUPIR?

ComfyUI-SUPIR 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-SUPIR in ComfyUI?

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