PromptGenerator 12-Columns

By DemonNCodingView on GitHub →

A fast and flexible random prompt generator with 12 columns (Empty / Pre-filled SFW / Pre-filled NSFW). Pre filled with text so that you can get started right away. Supports comma or newline output and always adds quality tags.

Quick Technical Summary: PromptGenerator 12-Columns

Base VRAM Footprint:
256 MB (4 GB Tier)
Primary Dependencies:
None (Pure Python/Torch)
Min PyTorch / CUDA:
PyTorch 2.0+ | CUDA 12.1+
GitHub Repository:
https://github.com/DemonNCoding/PromptGenerator12Columns

Citation Note: Data sourced from VRAM DB. For complete workflow OOM estimations, use the VRAM DB Workflow Analyzer.

How much VRAM does PromptGenerator 12-Columns require?

Direct Answer: The ComfyUI node PromptGenerator 12-Columns 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!

⚡

Struggling with VRAM Crashes or Out-of-Memory Errors?

Running heavy models like FLUX or SDXL with PromptGenerator 12-Columns? If you experience torch.cuda.OutOfMemoryError or driver timeouts, read our comprehensive troubleshooting guide to configure launch flags, enable tiled decoding, and avoid crashes.

Verify Compatibility for Your Specific GPU VRAM

Select your graphics card's VRAM capacity to view optimized batch sizes, suggested resolutions, and custom performance tips for PromptGenerator 12-Columns:

Live Cloud Deploy Options

Live Market Rates

Run this node in cloud environments with pre-configured CUDA/PyTorch dependencies:

No Python Dependencies Required

This node runs purely on native ComfyUI python contexts. No external pip libraries require automated installation!

Universal Architecture Compatibility

PromptGenerator 12-Columns operates as a general-purpose processor without binding directly to a single checkpoint architecture. It can be paired across Stable Diffusion 1.5, SDXL, FLUX, and video diffusion pipelines.

Frequently Asked Questions

How much VRAM does PromptGenerator 12-Columns require?

PromptGenerator 12-Columns 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 PromptGenerator 12-Columns 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 much VRAM does PromptGenerator 12-Columns take on an RTX 3060 vs RTX 4090?

On an RTX 3060 (12GB VRAM), PromptGenerator 12-Columns runs smoothly on an RTX 3060 (12GB) with 10.6GB of headroom. This is sufficient to run the node alongside standard SD 1.5 and SDXL workflows in full precision. On an RTX 4090 (24GB VRAM), the node runs with extreme headroom on an RTX 4090 (24GB) with 21.4GB of dedicated headroom. This allows you to combine the node with massive models (like FLUX.1 Dev, Schnell, or Hunyuan Video) in full precision (FP16) without any offload flags.

How can I reduce VRAM usage when running PromptGenerator 12-Columns?

PromptGenerator 12-Columns 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 PromptGenerator 12-Columns in ComfyUI?

To install PromptGenerator 12-Columns: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/DemonNCoding/PromptGenerator12Columns, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.

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