HYPIR ComfyUI Plugin
This is a ComfyUI plugin for [a/HYPIR (Harnessing Diffusion-Yielded Score Priors for Image Restoration)](https://github.com/XPixelGroup/HYPIR), a state-of-the-art image restoration model based on Stable Diffusion 2.1.
How much VRAM does HYPIR ComfyUI Plugin require?
Direct Answer: The ComfyUI node HYPIR ComfyUI Plugin 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.
- Base VRAM:
- 128MB (0.1GB)
- Recommended GPU:
- 4GB+ VRAM
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- MEDIUM
Interactive VRAM Compatibility Estimator
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 HYPIR ComfyUI Plugin?
Direct Answer: Running HYPIR ComfyUI Plugin requires installing the following Python package dependencies: accelerate>=0.20.0, diffusers>=0.21.0, numpy>=1.21.0, omegaconf>=2.3.0, peft>=0.4.0, pillow>=8.0.0, polars>=0.19.0 # For data loading (if using training features), requests>=2.25.0, torch>=2.0.0, torchvision>=0.15.0, tqdm>=4.60.0, transformers>=4.30.0. This node specifically requires PyTorch version 2.0.0 or newer.
accelerate>=0.20.0
diffusers>=0.21.0
numpy>=1.21.0
omegaconf>=2.3.0
peft>=0.4.0
pillow>=8.0.0
polars>=0.19.0 # For data loading (if using training features)
requests>=2.25.0
torch>=2.0.0
torchvision>=0.15.0
tqdm>=4.60.0
transformers>=4.30.0Interactive Setup & Dependency Resolver
# Loading command...Special Environment Requirements:
Requires PyTorch version 2.0.0+.
# Loading PyTorch command...Frequently Asked Questions
How much VRAM does HYPIR ComfyUI Plugin require?
HYPIR ComfyUI Plugin 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 HYPIR ComfyUI Plugin 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 PyTorch version does HYPIR ComfyUI Plugin need?
HYPIR ComfyUI Plugin requires the following PyTorch-related packages: torch>=2.0.0, torchvision>=0.15.0. 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 HYPIR ComfyUI Plugin?
To run HYPIR ComfyUI Plugin, you need to install: accelerate>=0.20.0, diffusers>=0.21.0, numpy>=1.21.0, omegaconf>=2.3.0, peft>=0.4.0, pillow>=8.0.0, polars>=0.19.0 # For data loading (if using training features), requests>=2.25.0, torch>=2.0.0, torchvision>=0.15.0, tqdm>=4.60.0, transformers>=4.30.0. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running HYPIR ComfyUI Plugin?
HYPIR ComfyUI Plugin 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 HYPIR ComfyUI Plugin in ComfyUI?
To install HYPIR ComfyUI Plugin: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/11dogzi/Comfyui-HYPIR, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.