ComfyUI_Textarea_Loaders

By SieyalixnetView on GitHub →

An easy custom node that makes the some loaders' input as Text instead of file selector. For example, there are many characters in different loras respectively. If you want to generate different characters' pictures, you have to select corresponding lora, and then edit the prompt. It may cost much time. To solve this problem, You can use it with a chrome extension https://github.com/Sieyalixnet/ComfyUI-Prompt-Formatter-Extension that makes the queue prompt easier when you dealing with massive loras and prompt.

How much VRAM does ComfyUI_Textarea_Loaders require?

Direct Answer: The ComfyUI node ComfyUI_Textarea_Loaders 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!

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Related Custom Nodes

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

AITocha Vision
by aitocha128MB VRAM
AI_Text_Comfyui
by Zch6111256MB VRAM
AK XZ Axis (XY for any KSampler)
by akawana256MB VRAM
ArtyClaw Comfy Nodes
by artyclaw256MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI_Textarea_Loaders require?

ComfyUI_Textarea_Loaders 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_Textarea_Loaders 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_Textarea_Loaders?

ComfyUI_Textarea_Loaders 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_Textarea_Loaders in ComfyUI?

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