Kimara.ai's Advanced Watermarking Tools

By kimara-aiView on GitHub →

The KimaraAIWatermarker custom node allows you to apply watermark text and logo overlays to images. Optionally, the watermark can be moved by the move_watermark_step amount of pixels after each generated image. To apply a moving watermark to a list of images, use the KimaraAIBatchImages node to concatenate the list into a single tensor, then use that as an input for the watermark node, as shown in the example image below.

How much VRAM does Kimara.ai's Advanced Watermarking Tools require?

Direct Answer: The ComfyUI node Kimara.ai's Advanced Watermarking Tools 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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What Python packages are required for Kimara.ai's Advanced Watermarking Tools?

Direct Answer: Running Kimara.ai's Advanced Watermarking Tools requires installing the following Python package dependencies: numpy, pillow. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
numpy
pillow

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:

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 Kimara.ai's Advanced Watermarking Tools require?

Kimara.ai's Advanced Watermarking Tools 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 Kimara.ai's Advanced Watermarking Tools 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 Kimara.ai's Advanced Watermarking Tools?

To run Kimara.ai's Advanced Watermarking Tools, you need to install: numpy, pillow. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running Kimara.ai's Advanced Watermarking Tools?

Kimara.ai's Advanced Watermarking Tools 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 Kimara.ai's Advanced Watermarking Tools in ComfyUI?

To install Kimara.ai's Advanced Watermarking Tools: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/kimara-ai/ComfyUI-Kimara-AI-Advanced-Watermarks, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.