ComfyUI IC-Custom Node
A custom node for ComfyUI that integrates IC-Custom model for high-quality image customization and generation.
How much VRAM does ComfyUI IC-Custom Node require?
Direct Answer: The ComfyUI node ComfyUI IC-Custom Node 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 ComfyUI IC-Custom Node?
Direct Answer: Running ComfyUI IC-Custom Node requires installing the following Python package dependencies: accelerate>=0.20.0, diffusers>=0.30.0, numpy>=1.24.0, omegaconf>=2.3.0, optimum>=1.17.0, pillow>=9.5.0, safetensors>=0.4.0, torch>=2.0.0, torchvision>=0.15.0, transformers>=4.40.0. This node specifically requires PyTorch version 2.0.0 or newer.
accelerate>=0.20.0
diffusers>=0.30.0
numpy>=1.24.0
omegaconf>=2.3.0
optimum>=1.17.0
pillow>=9.5.0
safetensors>=0.4.0
torch>=2.0.0
torchvision>=0.15.0
transformers>=4.40.0Interactive Setup & Dependency Resolver
# Loading command...Special Environment Requirements:
Requires PyTorch version 2.0.0+.
# Loading PyTorch command...Frequently Asked Questions
How much VRAM does ComfyUI IC-Custom Node require?
ComfyUI IC-Custom Node 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 ComfyUI IC-Custom Node 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 ComfyUI IC-Custom Node need?
ComfyUI IC-Custom Node 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 ComfyUI IC-Custom Node?
To run ComfyUI IC-Custom Node, you need to install: accelerate>=0.20.0, diffusers>=0.30.0, numpy>=1.24.0, omegaconf>=2.3.0, optimum>=1.17.0, pillow>=9.5.0, safetensors>=0.4.0, torch>=2.0.0, torchvision>=0.15.0, transformers>=4.40.0. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI IC-Custom Node?
ComfyUI IC-Custom Node 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 IC-Custom Node in ComfyUI?
To install ComfyUI IC-Custom Node: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/HM-RunningHub/ComfyUI_RH_ICCustom, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.