GLM-4V Image Descriptor on 4GB GPU
Compatible with 4GB GPU
This node will run on RTX 3050, GTX 1650 and similar GPUs with 4GB VRAM.
Optimized Settings for 4GB
VRAM Utilization
3%
You're using 3% of your 4GB VRAM, leaving 3.9GB headroom.
Recommended Batch Size
3
Start with batch size of 3 for optimal performance.
Suggested Resolution
768x768 to 1024x1024
Best balance of quality and performance for 4GB.
Performance Tips
- Close other GPU-intensive applications
- Low VRAM mode available
- Monitor GPU usage with nvidia-smi
🚀 Deploy ComfyUI on Vast.ai
Need low-cost, high-performance cloud GPUs to run ComfyUI and this custom node? Rent instantly on Vast.ai starting at pennies per hour.
🚀 Deploy ComfyUI on RunPod
Need high-performance cloud GPUs to run ComfyUI and this custom node? Rent instantly on RunPod starting at just a few cents per hour.
VRAM Requirements
- Base VRAM Requirement:
- 128MB (0.13GB)
- Your GPU (4GB):
- 4096MB (4GB) - RTX 3050, GTX 1650
- VRAM Utilization:
- 3%
- Available Headroom:
- 3.88GB
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- MEDIUM
Python Dependencies
accelerate>=0.21.0 # 模型加速库 / Model acceleration librarybitsandbytes>=0.41.0 # 量化支持库 / Quantization support librarycsv# CSV处理库（Python内置） / CSV processing library (built-in Python)glob# 文件名模式匹配（Python内置） / Filename pattern matching (built-in Python)json# JSON处理库（Python内置） / JSON processing library (built-in Python)numpy>=1.21.0 # 数值计算库 / Numerical computing libraryos# 操作系统接口（Python内置） / OS interface (built-in Python)pathlib# 路径处理库（Python 3.4+内置） / Path handling library (built-in Python 3.4+)pillow>=9.0.0 # Python图像处理库 / Python Image Libraryprotobuf>=3.20.0 # Protocol Buffers支持 / Protocol Buffers support
+ 6 more dependencies