SimpleSyrup on 10GB GPU

Artificial-Sweetener model_managementworkflow 128MB VRAM

Compatible with 10GB GPU

This node will run on RTX 3080 (10GB) and similar GPUs with 10GB VRAM.

Optimized Settings for 10GB

VRAM Utilization

1%

You're using 1% of your 10GB VRAM, leaving 9.9GB headroom.

Recommended Batch Size

9

Start with batch size of 9 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:
128MB (0.13GB)
Your GPU (10GB):
10240MB (10GB) - RTX 3080 (10GB)
VRAM Utilization:
1%
Available Headroom:
9.88GB
Low VRAM Mode:
✓ Supported
Estimation Confidence:
MEDIUM

Python Dependencies

  • addict>=2.4.0
  • huggingface-hub>=0.34.0
  • keyring>=25.0.0
  • onnxruntime>=1.22.0
  • segment-anything>=1.0
  • timm>=0.6.13
  • torchlanc>=1.1.0
  • ultralytics>=8.3.0
  • yapf>=0.43.0

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