Comfyui_TextBatch_aidec

By aidecView on GitHub →

The Text Queue Processor can split text into groups line by line for batch processing (unfinished, with noticeable bugs still being fixed). Currently, on the first run, it may only process one item. Once that is completed, running it again usually works fine. After each run, the `start_index` needs to be manually reset. Occasionally, strange issues occur, such as multiple queues being added at once, while other times it works perfectly fine. The potential causes are still under investigation.

How much VRAM does Comfyui_TextBatch_aidec require?

Direct Answer: The ComfyUI node Comfyui_TextBatch_aidec 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

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Related Custom Nodes

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

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Frequently Asked Questions

How much VRAM does Comfyui_TextBatch_aidec require?

Comfyui_TextBatch_aidec 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_TextBatch_aidec 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_TextBatch_aidec?

Comfyui_TextBatch_aidec 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_TextBatch_aidec in ComfyUI?

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