ComfyUI-BS-Textchop

By Burgstall-labsView on GitHub →

A custom node for ComfyUI that extracts text segments based on specified start and/or end marker strings. You can define multiple marker pairs to extract different segments from the same input text. The node intelligently adapts its extraction based on whether you provide a start marker, an end marker, or both for each pair.

How much VRAM does ComfyUI-BS-Textchop require?

Direct Answer: The ComfyUI node ComfyUI-BS-Textchop 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

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Deploy on Cloud GPUs

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

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Related Custom Nodes

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

ComfyUI-Regex-Runner
by orange90256MB VRAM
AIGODLIKE-COMFYUI-TRANSLATION
by AIGODLIKE128MB VRAM
AIRedoon
by purpen256MB VRAM
AITocha Vision
by aitocha128MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-BS-Textchop require?

ComfyUI-BS-Textchop 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-BS-Textchop 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

How can I reduce VRAM usage when running ComfyUI-BS-Textchop?

ComfyUI-BS-Textchop 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-BS-Textchop in ComfyUI?

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