KANIBUS - Advanced Eye Tracking ControlNet System on 10GB GPU
Compatible with 10GB GPU
This node will run on RTX 3080 (10GB) and similar GPUs with 10GB VRAM.
Optimized Settings for 10GB
VRAM Utilization
20%
You're using 20% of your 10GB VRAM, leaving 8.0GB headroom.
Recommended Batch Size
8
Start with batch size of 8 for optimal performance.
Suggested Resolution
1024x1024 or higher
Best balance of quality and performance for 10GB.
Performance Tips
- Close other GPU-intensive applications
- Low VRAM mode available
- Monitor GPU usage with nvidia-smi
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VRAM Requirements
- Base VRAM Requirement:
- 2048MB (2.00GB)
- Your GPU (10GB):
- 10240MB (10GB) - RTX 3080 (10GB)
- VRAM Utilization:
- 20%
- Available Headroom:
- 8.00GB
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- MEDIUM
Python Dependencies
accelerate>=0.25.0 # For model optimizationalbumentations>=1.3.0diffusers>=0.24.0 # For T2I-Adapter supportgputil>=1.4.0imageio>=2.31.0imageio-ffmpeg>=0.4.9mediapipe>=0.10.8numba>=0.58.0numpy>=1.24.0opencv-contrib-python>=4.8.1.78
+ 16 more dependencies