comfy-modelopt
NVIDIA ModelOpt integration for ComfyUI - Quantize and optimize diffusion models with INT8/FP8/INT4
How much VRAM does comfy-modelopt require?
Direct Answer: The ComfyUI node comfy-modelopt 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 comfy-modelopt?
Direct Answer: Running comfy-modelopt requires installing the following Python package dependencies: accelerate>=0.20.0, diffusers>=0.20.0, nvidia-modelopt>=0.43.0, onnx>=1.14.0, onnxruntime>=1.15.0, safetensors>=0.3.0, transformers>=4.30.0. Ensure your ComfyUI environment has these packages active before launching.
accelerate>=0.20.0
diffusers>=0.20.0
nvidia-modelopt>=0.43.0
onnx>=1.14.0
onnxruntime>=1.15.0
safetensors>=0.3.0
transformers>=4.30.0Interactive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does comfy-modelopt require?
comfy-modelopt 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 comfy-modelopt 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 Python packages are required for comfy-modelopt?
To run comfy-modelopt, you need to install: accelerate>=0.20.0, diffusers>=0.20.0, nvidia-modelopt>=0.43.0, onnx>=1.14.0, onnxruntime>=1.15.0, safetensors>=0.3.0, 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 comfy-modelopt?
comfy-modelopt 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 comfy-modelopt in ComfyUI?
To install comfy-modelopt: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/EnragedAntelope/comfy-modelopt, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.