ComfyUI GLM-OCR

By DangocanView on GitHub →

Load and run GLM-OCR (zai-org/GLM-OCR) locally in ComfyUI. Supports text recognition, formula recognition, table extraction, and general image description. Picks up models from any ComfyUI checkpoint directory.

How much VRAM does ComfyUI GLM-OCR require?

Direct Answer: The ComfyUI node ComfyUI GLM-OCR requires a minimum base VRAM of 256MB and is optimized for GPUs with at least 4GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.

High (2-4GB)
Base VRAM:
256MB (0.3GB)
Recommended GPU:
4GB+ VRAM
Low VRAM Mode:
✓ Supported
Estimation Confidence:
HIGH

Interactive VRAM Compatibility Estimator

Estimated Total VRAM: 3.00 GBTarget: 8 GB
✅ Comfortable Fit

Your GPU has plenty of headroom. You can run this node safely with your active configurations!

Deploy on High-Performance GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance GPUs on Vast.ai instantly.

🚀 Deploy on Vast.ai

Deploy on Cloud GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.

🚀 Deploy on RunPod

What Python packages are required for ComfyUI GLM-OCR?

Direct Answer: Running ComfyUI GLM-OCR requires installing the following Python package dependencies: pillow, transformers>=5.3.0. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
pillow
transformers>=5.3.0

Interactive Setup & Dependency Resolver

Operating System:
Environment Type:
Run this terminal command in your ComfyUI root folder:
# Loading command...

Related Custom Nodes

The following custom nodes run in the same PyTorch / CUDA environment and share similar categories or workflows:

AIRedoon
by purpen256MB VRAM
BLIP Vision-Language Model Integration
by muhammederem128MB VRAM
BSS WD14 Batch Tagger
by Blacksnowskill128MB VRAM
CSV Styler
by Pun0110256MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI GLM-OCR require?

ComfyUI GLM-OCR requires a minimum of 256MB (0.3GB) of VRAM for base operation. For optimal performance, a GPU with at least 4GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.

Can I run ComfyUI GLM-OCR on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.2GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.4GB headroom

What Python packages are required for ComfyUI GLM-OCR?

To run ComfyUI GLM-OCR, you need to install: pillow, transformers>=5.3.0. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI GLM-OCR?

ComfyUI GLM-OCR supports low VRAM mode. To reduce memory usage: (1) Enable --lowvram or --medvram flags in ComfyUI, (2) Reduce batch size to 1, (3) Use fp16 or fp8 precision if supported, (4) Close other GPU applications.

How do I install ComfyUI GLM-OCR in ComfyUI?

To install ComfyUI GLM-OCR: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/Dangocan/comfyui_glm_ocr, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.