ComfyUI-Upscaler-TensorRT-RTX
NVIDIA TensorRT-accelerated upscaler with dynamic shape support, up to 30x faster upscaling with automatic engine building and persistent timing cache. (Description by CC)
VRAM Requirements
Direct Answer: The ComfyUI node ComfyUI-Upscaler-TensorRT-RTX 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.
- Base VRAM:
- 3072MB (3.0GB)
- Recommended GPU:
- 8GB+ 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!
Deploy on High-Performance GPUs
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Deploy on Cloud GPUs
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Python Dependencies
Direct Answer: Running ComfyUI-Upscaler-TensorRT-RTX requires installing the following Python package dependencies: cuda-toolkit, numpy, onnx, onnxconverter_common, onnxsim, polygraphy, tensorrt_rtx, torch, tqdm. Ensure your ComfyUI environment has these packages active before launching.
cuda-toolkit
numpy
onnx
onnxconverter_common
onnxsim
polygraphy
tensorrt_rtx
torch
tqdm🛠️ Interactive Setup & Dependency Resolver
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