IF_Trellis on 6GB GPU
Compatible with 6GB GPU
This node will run on RTX 2060, GTX 1660 Ti and similar GPUs with 6GB VRAM.
Optimized Settings for 6GB
VRAM Utilization
4%
You're using 4% of your 6GB VRAM, leaving 5.8GB headroom.
Recommended Batch Size
5
Start with batch size of 5 for optimal performance.
Suggested Resolution
1024x1024 or higher
Best balance of quality and performance for 6GB.
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:
- 256MB (0.25GB)
- Your GPU (6GB):
- 6144MB (6GB) - RTX 2060, GTX 1660 Ti
- VRAM Utilization:
- 4%
- Available Headroom:
- 5.75GB
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- HIGH
Python Dependencies
diffrp-nvdiffrasteasydicthttps://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-2.5.1_cu124/kaolin-0.17.0-cp312-cp312-linux_x86_64.whl; (python_version >= "3.12" and python_version < "3.13")https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-2.5.1_cu124/kaolin-0.17.0-cp311-cp311-linux_x86_64.whl; (python_version >= "3.11" and python_version < "3.12")https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-2.5.1_cu124/kaolin-0.17.0-cp310-cp310-linux_x86_64.whl; (python_version >= "3.10" and python_version < "3.11")https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-2.5.1_cu124/kaolin-0.17.0-cp39-cp39-linux_x86_64.whl; (python_version >= "3.9" and python_version < "3.10")igraphimageioimageio-ffmpegninja
+ 16 more dependencies